Philip S. Yu

Affiliations:
  • University of Illinois at Chicago, Department of Computer Science, Chicago, IL, USA
  • Stanford University, Stanford, CA, USA (PhD)


According to our database1, Philip S. Yu authored at least 1,781 papers between 1980 and 2024.

Collaborative distances:

Awards

ACM Fellow

ACM Fellow 1997, "For contributions to the theory and practice of analytical performance modeling of database sytems.".

Timeline

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Online presence:

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Bibliography

2024
Contrastive sequential interaction network learning on co-evolving Riemannian spaces.
Int. J. Mach. Learn. Cybern., April, 2024

Sample Efficient Offline-to-Online Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., March, 2024

MVSTT: A Multiview Spatial-Temporal Transformer Network for Traffic-Flow Forecasting.
IEEE Trans. Cybern., March, 2024

Multi-View Graph Learning by Joint Modeling of Consistency and Inconsistency.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus.
IEEE Trans. Knowl. Data Eng., February, 2024

Towards Effective and Robust Graph Contrastive Learning With Graph Autoencoding.
IEEE Trans. Knowl. Data Eng., February, 2024

A Weighted Symmetric Graph Embedding Approach for Link Prediction in Undirected Graphs.
IEEE Trans. Cybern., February, 2024

Privacy and Fairness in Federated Learning: On the Perspective of Tradeoff.
ACM Comput. Surv., February, 2024

Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting.
IEEE Trans. Knowl. Data Eng., January, 2024

Hierarchical Alignment With Polar Contrastive Learning for Next-Basket Recommendation.
IEEE Trans. Knowl. Data Eng., January, 2024

HUSP-SP: Faster Utility Mining on Sequence Data.
ACM Trans. Knowl. Discov. Data, January, 2024

Robust multi-agent reinforcement learning via Bayesian distributional value estimation.
Pattern Recognit., January, 2024

Introduction to the special issue on recent advances in graph learning: theory, algorithms, applications, and systems.
Int. J. Mach. Learn. Cybern., January, 2024

Machine Unlearning: A Survey.
ACM Comput. Surv., January, 2024

Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction.
CoRR, 2024

Disclosure and Mitigation of Gender Bias in LLMs.
CoRR, 2024

When LLMs Meet Cunning Questions: A Fallacy Understanding Benchmark for Large Language Models.
CoRR, 2024

Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction.
CoRR, 2024

Rec-GPT4V: Multimodal Recommendation with Large Vision-Language Models.
CoRR, 2024

Cyclic Neural Network.
CoRR, 2024

Multitask Active Learning for Graph Anomaly Detection.
CoRR, 2024

TrustLLM: Trustworthiness in Large Language Models.
CoRR, 2024

Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces.
CoRR, 2024

Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning.
CoRR, 2024

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit.
CoRR, 2024

2023
G<sup>3</sup>SR: Global Graph Guided Session-Based Recommendation.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Inconsistent Matters: A Knowledge-Guided Dual-Consistency Network for Multi-Modal Rumor Detection.
IEEE Trans. Knowl. Data Eng., December, 2023

Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications.
IEEE Trans. Knowl. Data Eng., December, 2023

Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Privacy and evolutionary cooperation in neural-network-based game theory.
Knowl. Based Syst., December, 2023

A Game-Theoretic Federated Learning Framework for Data Quality Improvement.
IEEE Trans. Knowl. Data Eng., November, 2023

A Robust and Generalized Framework for Adversarial Graph Embedding.
IEEE Trans. Knowl. Data Eng., November, 2023

Reinforcement Learning Based Path Exploration for Sequential Explainable Recommendation.
IEEE Trans. Knowl. Data Eng., November, 2023

Model-Based Self-Advising for Multi-Agent Learning.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.
IEEE Trans. Knowl. Data Eng., October, 2023

Learning From Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., October, 2023

Revisiting model fairness via adversarial examples.
Knowl. Based Syst., October, 2023

Balancing Learning Model Privacy, Fairness, and Accuracy With Early Stopping Criteria.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network.
IEEE Trans. Knowl. Data Eng., September, 2023

HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., September, 2023

Introduction to the Special Issue on Advanced Graph Mining on the Web: Theory, Algorithms, and Applications: Part 1.
ACM Trans. Web, August, 2023

Generalizing to Unseen Domains: A Survey on Domain Generalization.
IEEE Trans. Knowl. Data Eng., August, 2023

Adversarial Attack and Defense on Graph Data: A Survey.
IEEE Trans. Knowl. Data Eng., August, 2023

MC<sup>2</sup>: Unsupervised Multiple Social Network Alignment.
ACM Trans. Intell. Syst. Technol., August, 2023

Link Prediction with Contextualized Self-Supervision.
IEEE Trans. Knowl. Data Eng., July, 2023

Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering.
IEEE Trans. Knowl. Data Eng., July, 2023

KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction.
IEEE Trans. Knowl. Data Eng., July, 2023

Triadic Closure Sensitive Influence Maximization.
ACM Trans. Knowl. Discov. Data, July, 2023

Adaptive Subgraph Neural Network With Reinforced Critical Structure Mining.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Internet of Behaviors: A Survey.
IEEE Internet Things J., July, 2023

Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction.
Briefings Bioinform., July, 2023

C-DeepTrust: A Context-Aware Deep Trust Prediction Model in Online Social Networks.
IEEE Trans. Neural Networks Learn. Syst., June, 2023

Aligning Dynamic Social Networks: An Optimization Over Dynamic Graph Autoencoder.
IEEE Trans. Knowl. Data Eng., June, 2023

Graph Self-Supervised Learning: A Survey.
IEEE Trans. Knowl. Data Eng., June, 2023

Fine-Grained Urban Flow Inference With Incomplete Data.
IEEE Trans. Knowl. Data Eng., June, 2023

Learning Adaptive Node Embeddings Across Graphs.
IEEE Trans. Knowl. Data Eng., June, 2023

Discovering High Utility Episodes in Sequences.
IEEE Trans. Artif. Intell., June, 2023

Traffic Anomaly Prediction Based on Joint Static-Dynamic Spatio-Temporal Evolutionary Learning.
IEEE Trans. Knowl. Data Eng., May, 2023

Higher Order Connection Enhanced Community Detection in Adversarial Multiview Networks.
IEEE Trans. Cybern., May, 2023

Adaptive curvature exploration geometric graph neural network.
Knowl. Inf. Syst., May, 2023

Privacy-preserving federated mining of frequent itemsets.
Inf. Sci., May, 2023

Learning Games for Defending Advanced Persistent Threats in Cyber Systems.
IEEE Trans. Syst. Man Cybern. Syst., April, 2023

An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering.
ACM Trans. Inf. Syst., April, 2023

Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation.
IEEE Trans. Knowl. Data Eng., April, 2023

A Robust Game-Theoretical Federated Learning Framework With Joint Differential Privacy.
IEEE Trans. Knowl. Data Eng., April, 2023

GCN for HIN via Implicit Utilization of Attention and Meta-Paths.
IEEE Trans. Knowl. Data Eng., April, 2023

TUSQ: Targeted High-Utility Sequence Querying.
IEEE Trans. Big Data, April, 2023

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources.
IEEE Trans. Big Data, April, 2023

Hierarchical Representation Learning for Attributed Networks.
IEEE Trans. Knowl. Data Eng., March, 2023

Signed Network Representation by Preserving Multi-Order Signed Proximity.
IEEE Trans. Knowl. Data Eng., March, 2023

Temporal Link Prediction With Motifs for Social Networks.
IEEE Trans. Knowl. Data Eng., March, 2023

Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market.
IEEE Trans. Knowl. Data Eng., March, 2023

Domain-Invariant Feature Progressive Distillation with Adversarial Adaptive Augmentation for Low-Resource Cross-Domain NER.
ACM Trans. Asian Low Resour. Lang. Inf. Process., March, 2023

DC-FUDA: Improving deep clustering via fully unsupervised domain adaptation.
Neurocomputing, March, 2023

Forest based on Interval Transformation (FIT): A time series classifier with adaptive features.
Expert Syst. Appl., March, 2023

Multiview Clustering via Proximity Learning in Latent Representation Space.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

Fairness in graph-based semi-supervised learning.
Knowl. Inf. Syst., February, 2023

US-Rule: Discovering Utility-driven Sequential Rules.
ACM Trans. Knowl. Discov. Data, January, 2023

Recent advances in domain-driven data mining.
Int. J. Data Sci. Anal., January, 2023

Dual Adversarial Variational Embedding for Robust Recommendation.
IEEE Trans. Knowl. Data Eng., 2023

Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., 2023

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning.
IEEE Trans. Knowl. Data Eng., 2023

Heterogeneous Graph Propagation Network.
IEEE Trans. Knowl. Data Eng., 2023

Adversarial Representation Mechanism Learning for Network Embedding.
IEEE Trans. Knowl. Data Eng., 2023

Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation.
IEEE Trans. Knowl. Data Eng., 2023

Effectively Identifying Compound-Protein Interaction Using Graph Neural Representation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Transferring From Textual Entailment to Biomedical Named Entity Recognition.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

A Hybrid Two-Stage Teaching-Learning-Based Optimization Algorithm for Feature Selection in Bioinformatics.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

A Multi-Level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Reinforced, Incremental and Cross-Lingual Event Detection From Social Messages.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

CIFair: Constructing continuous domains of invariant features for image fair classifications.
Knowl. Based Syst., 2023

SOR-TC: Self-attentive octave ResNet with temporal consistency for compressed video action recognition.
Neurocomputing, 2023

An in-depth study on key nodes in social networks.
Intell. Data Anal., 2023

Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity.
ACM Comput. Surv., 2023

Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models.
CoRR, 2023

Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation.
CoRR, 2023

Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection.
CoRR, 2023

DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation.
CoRR, 2023

Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction.
CoRR, 2023

ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton.
CoRR, 2023

kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning.
CoRR, 2023

A Survey of Text Watermarking in the Era of Large Language Models.
CoRR, 2023

Large Language Models in Law: A Survey.
CoRR, 2023

DALA: A Distribution-Aware LoRA-Based Adversarial Attack against Pre-trained Language Models.
CoRR, 2023

Large Language Models for Robotics: A Survey.
CoRR, 2023

RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis.
CoRR, 2023

Joint Learning of Local and Global Features for Aspect-based Sentiment Classification.
CoRR, 2023

Bayes-enhanced Multi-view Attention Networks for Robust POI Recommendation.
CoRR, 2023

Probing Explicit and Implicit Gender Bias through LLM Conditional Text Generation.
CoRR, 2023

DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text.
CoRR, 2023

Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection.
CoRR, 2023

CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks.
CoRR, 2023

Unified Pretraining for Recommendation via Task Hypergraphs.
CoRR, 2023

Knowledge Graph Context-Enhanced Diversified Recommendation.
CoRR, 2023

Towards Graph Foundation Models: A Survey and Beyond.
CoRR, 2023

Collaborative Contextualization: Bridging the Gap between Collaborative Filtering and Pre-trained Language Model.
CoRR, 2023

Do Large Language Models Know about Facts?
CoRR, 2023

Discovering Utility-driven Interval Rules.
CoRR, 2023

From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited.
CoRR, 2023

Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables.
CoRR, 2023

Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach.
CoRR, 2023

All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm.
CoRR, 2023

A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications.
CoRR, 2023

LLMRec: Benchmarking Large Language Models on Recommendation Task.
CoRR, 2023

Mitigating Health Disparity on Biased Electronic Health Records via Deconfounder.
CoRR, 2023

A Private Watermark for Large Language Models.
CoRR, 2023

A Survey on Evaluation of Large Language Models.
CoRR, 2023

Privacy and Fairness in Federated Learning: on the Perspective of Trade-off.
CoRR, 2023

Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing.
CoRR, 2023

TrustGPT: A Benchmark for Trustworthy and Responsible Large Language Models.
CoRR, 2023

TALENT: Targeted Mining of Non-overlapping Sequential Patterns.
CoRR, 2023

Decentralized Federated Learning: A Survey and Perspective.
CoRR, 2023

Give Me More Details: Improving Fact-Checking with Latent Retrieval.
CoRR, 2023

Contrastive Graph Clustering in Curvature Spaces.
CoRR, 2023

Open Metaverse: Issues, Evolution, and Future.
CoRR, 2023

Conditional Denoising Diffusion for Sequential Recommendation.
CoRR, 2023

Web3: The Next Internet Revolution.
CoRR, 2023

Privacy-Preserving Federated Discovery of DNA Motifs with Differential Privacy.
CoRR, 2023

A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability.
CoRR, 2023

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT.
CoRR, 2023

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.
CoRR, 2023

Weakly Supervised Anomaly Detection: A Survey.
CoRR, 2023

OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization.
CoRR, 2023

Provable Unrestricted Adversarial Training without Compromise with Generalizability.
CoRR, 2023

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization.
Proceedings of the ACM Web Conference 2023, 2023

A Post-Training Framework for Improving Heterogeneous Graph Neural Networks.
Proceedings of the ACM Web Conference 2023, 2023

ConsRec: Learning Consensus Behind Interactions for Group Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Attacking Fake News Detectors via Manipulating News Social Engagement.
Proceedings of the ACM Web Conference 2023, 2023

Graph-based Village Level Poverty Identification.
Proceedings of the ACM Web Conference 2023, 2023

Web 3.0: The Future of Internet.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

CMINet: a Graph Learning Framework for Content-aware Multi-channel Influence Diffusion.
Proceedings of the ACM Web Conference 2023, 2023

DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Reducing Negative Effects of the Biases of Language Models in Zero-Shot Setting.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Unbiased and Efficient Self-Supervised Incremental Contrastive Learning.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Graph Collaborative Signals Denoising and Augmentation for Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

Anomaly Detection Networks and Fuzzy Control Modules for Energy Grid Management with Q-Learning-Based Decision Making.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Equal Opportunity of Coverage in Fair Regression.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

The 12th International Workshop on Urban Computing.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Exploiting Intent Evolution in E-commercial Query Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Sketch-Based Anomaly Detection in Streaming Graphs.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection.
Proceedings of the International Joint Conference on Neural Networks, 2023

Hierarchical State Abstraction based on Structural Information Principles.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

CONGREGATE: Contrastive Graph Clustering in Curvature Spaces.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs.
Proceedings of the IEEE International Conference on Data Mining, 2023

Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering.
Proceedings of the IEEE International Conference on Data Mining, 2023

IGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start Items.
Proceedings of the IEEE International Conference on Data Mining, 2023

DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing.
Proceedings of the IEEE International Conference on Data Mining, 2023

A Counterfactual Fair Model for Longitudinal Electronic Health Records via Deconfounder.
Proceedings of the IEEE International Conference on Data Mining, 2023

Planning Data Poisoning Attacks on Heterogeneous Recommender Systems in a Multiplayer Setting.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards Contiguous Sequences in Uncertain Data.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Hierarchical Encoder-Decoder with Addressable Memory Network for Diagnosis Prediction.
Proceedings of the Database Systems for Advanced Applications, 2023

A Graph Embedding Approach for Link Prediction via Triadic Closure Based Direct Aggregation and Weighted Concatenation.
Proceedings of the Database Systems for Advanced Applications, 2023

Location-Adaptive Generative Graph Augmentation for Fraud Detection.
Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Graph-based Alignment and Uniformity for Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Learning the Co-evolution Process on Live Stream Platforms with Dual Self-attention for Next-topic Recommendations.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation.
Proceedings of the IEEE International Conference on Big Data, 2023

Multimodal Large Language Models: A Survey.
Proceedings of the IEEE International Conference on Big Data, 2023

TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network.
Proceedings of the IEEE International Conference on Big Data, 2023

Multi-View Graph Convolution for Participant Recommendation.
Proceedings of the IEEE International Conference on Big Data, 2023

Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation.
Proceedings of the IEEE International Conference on Big Data, 2023

USER: Towards High-Utility Sequential Rules with Repetitive Items.
Proceedings of the IEEE International Conference on Big Data, 2023

Interaction in Metaverse: A Survey.
Proceedings of the IEEE International Conference on Big Data, 2023

Model-as-a-Service (MaaS): A Survey.
Proceedings of the IEEE International Conference on Big Data, 2023

Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification.
Proceedings of the IEEE International Conference on Big Data, 2023

JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction.
Proceedings of the IEEE International Conference on Big Data, 2023

Enhancing Cross-lingual Transfer via Phonemic Transcription Integration.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

AMR-based Network for Aspect-based Sentiment Analysis.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Automatic Table Union Search with Tabular Representation Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Learning to Select from Multiple Options.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Membership Inference Attacks on Machine Learning: A Survey.
ACM Comput. Surv., January, 2022

A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources.
AI Open, January, 2022

Heterogeneous Graph Representation Learning and Applications
Artificial Intelligence: Foundations, Theory, and Algorithms, Springer, ISBN: 978-981-16-6165-5, 2022

RumorDecay: Rumor Dissemination Interruption for Target Recipients in Social Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention.
IEEE Trans. Software Eng., 2022

Reverse Nearest Neighbor Search in Semantic Trajectories for Location-Based Services.
IEEE Trans. Serv. Comput., 2022

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks.
ACM Trans. Inf. Syst., 2022

HNF: Hybrid Neural Filtering Based on Centrality-Aware Random Walk for Personalized Recommendation.
IEEE Trans. Netw. Sci. Eng., 2022

Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph.
IEEE Trans. Neural Networks Learn. Syst., 2022

A Survey on Knowledge Graphs: Representation, Acquisition, and Applications.
IEEE Trans. Neural Networks Learn. Syst., 2022

More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence.
IEEE Trans. Knowl. Data Eng., 2022

Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination.
IEEE Trans. Knowl. Data Eng., 2022

DeepBlue: Bi-Layered LSTM for Tweet popUlarity Estimation.
IEEE Trans. Knowl. Data Eng., 2022

Understanding WeChat User Preferences and "Wow" Diffusion.
IEEE Trans. Knowl. Data Eng., 2022

Deep Learning for Spatio-Temporal Data Mining: A Survey.
IEEE Trans. Knowl. Data Eng., 2022

Continuous Monitoring of Maximum Clique Over Dynamic Graphs.
IEEE Trans. Knowl. Data Eng., 2022

Multi-View Consensus Proximity Learning for Clustering.
IEEE Trans. Knowl. Data Eng., 2022

HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network.
IEEE Trans. Knowl. Data Eng., 2022

KGGen: A Generative Approach for Incipient Knowledge Graph Population.
IEEE Trans. Knowl. Data Eng., 2022

On-Shelf Utility Mining of Sequence Data.
ACM Trans. Knowl. Discov. Data, 2022

Scalable Mining of High-Utility Sequential Patterns With Three-Tier MapReduce Model.
ACM Trans. Knowl. Discov. Data, 2022

Privacy-Preserving Deep Learning Model for Decentralized VANETs Using Fully Homomorphic Encryption and Blockchain.
IEEE Trans. Intell. Transp. Syst., 2022

Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction.
ACM Trans. Intell. Syst. Technol., 2022

Federated Social Recommendation with Graph Neural Network.
ACM Trans. Intell. Syst. Technol., 2022

A Survey on Text Classification: From Traditional to Deep Learning.
ACM Trans. Intell. Syst. Technol., 2022

Differentially Private Multi-Agent Planning for Logistic-Like Problems.
IEEE Trans. Dependable Secur. Comput., 2022

An Autoencoder Framework With Attention Mechanism for Cross-Domain Recommendation.
IEEE Trans. Cybern., 2022

Differential Advising in Multiagent Reinforcement Learning.
IEEE Trans. Cybern., 2022

Visual Sentiment Analysis With Social Relations-Guided Multiattention Networks.
IEEE Trans. Cybern., 2022

Node Pair Information Preserving Network Embedding Based on Adversarial Networks.
IEEE Trans. Cybern., 2022

An Integrated Cluster Detection, Optimization, and Interpretation Approach for Financial Data.
IEEE Trans. Cybern., 2022

Multiview Subspace Clustering With Grouping Effect.
IEEE Trans. Cybern., 2022

Lime: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks.
IEEE Trans. Computers, 2022

Guest Editorial: Special Issue on Network Structural Modeling and Learning in Big Data.
IEEE Trans. Big Data, 2022

Fact-Driven Abstractive Summarization by Utilizing Multi-Granular Multi-Relational Knowledge.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Adaptive Pre-Training and Collaborative Fine-Tuning: A Win-Win Strategy to Improve Review Analysis Tasks.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Reinforcement Learning-Based Dialogue Guided Event Extraction to Exploit Argument Relations.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Heterogeneous Information Networks: the Past, the Present, and the Future.
Proc. VLDB Endow., 2022

VideoDG: Generalizing Temporal Relations in Videos to Novel Domains.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Deep reinforcement learning guided graph neural networks for brain network analysis.
Neural Networks, 2022

Learning aspect-level complementarity for intent-aware complementary recommendation.
Knowl. Based Syst., 2022

Hierarchical GAN-Tree and Bi-Directional Capsules for multi-label image classification.
Knowl. Based Syst., 2022

REBORN: Transfer learning based social network alignment.
Inf. Sci., 2022

Multi-agent reinforcement learning via knowledge transfer with differentially private noise.
Int. J. Intell. Syst., 2022

Guest Editorial: Graph-powered machine learning in future-generation computing systems.
Future Gener. Comput. Syst., 2022

More than Privacy: Adopting Differential Privacy in Game-theoretic Mechanism Design.
ACM Comput. Surv., 2022

A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19.
ACM Comput. Surv., 2022

Towards Sequence Utility Maximization under Utility Occupancy Measure.
CoRR, 2022

Localized Contrastive Learning on Graphs.
CoRR, 2022

Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction.
CoRR, 2022

Big Data Meets Metaverse: A Survey.
CoRR, 2022

EnTDA: Entity-to-Text based Data Augmentation Approach for Named Entity Recognition Tasks.
CoRR, 2022

Metaverse: Survey, Applications, Security, and Opportunities.
CoRR, 2022

Deep Clustering: A Comprehensive Survey.
CoRR, 2022

Contrast Pattern Mining: A Survey.
CoRR, 2022

Totally-ordered Sequential Rules for Utility Maximization.
CoRR, 2022

A Generic Algorithm for Top-K On-Shelf Utility Mining.
CoRR, 2022

Automating DBSCAN via Deep Reinforcement Learning.
CoRR, 2022

Benchmarking Node Outlier Detection on Graphs.
CoRR, 2022

Towards Target Sequential Rules.
CoRR, 2022

XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction.
CoRR, 2022

PyGOD: A Python Library for Graph Outlier Detection.
CoRR, 2022

A Survey on Location-Driven Influence Maximization.
CoRR, 2022

Multifaceted Improvements for Conversational Open-Domain Question Answering.
CoRR, 2022

Improving Contrastive Learning with Model Augmentation.
CoRR, 2022

TaSPM: Targeted Sequential Pattern Mining.
CoRR, 2022

Graph Neural Networks for Graphs with Heterophily: A Survey.
CoRR, 2022

Deep learning for drug repurposing: methods, databases, and applications.
CoRR, 2022

An Efficient Approach for Rational Next-Basket Recommendation.
IEEE Access, 2022

An Efficient Approach for Mining Reliable High Utility Patterns.
IEEE Access, 2022

Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Dual Space Graph Contrastive Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Sequential Recommendation via Stochastic Self-Attention.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Dy-HIEN: Dynamic Evolution based Deep Hierarchical Intention Network for Membership Prediction.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Deoscillated Adaptive Graph Collaborative Filtering.
Proceedings of the Topological, 2022

Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

CLARE: A Semi-supervised Community Detection Algorithm.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Invariant Preference Learning for General Debiasing in Recommendation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

The 11th International Workshop on Urban Computing.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Efficient Orthogonal Multi-view Subspace Clustering.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Shallow and Deep Non-IID Learning on Complex Data.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact).
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory.
Proceedings of the IEEE International Conference on Web Services, 2022

NaturalCC: An Open-Source Toolkit for Code Intelligence.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

Epidemic Spread Optimization for Disease Containment with NPIs and Vaccination.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Fast Mining RFM Patterns for Behavioral Analytics.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Concurrent Transformer for Spatial-Temporal Graph Modeling.
Proceedings of the Database Systems for Advanced Applications, 2022

Scene Graph Modification as Incremental Structure Expanding.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Automating DBSCAN via Deep Reinforcement Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

PAS: Privacy Algorithms in Systems.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

From Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Frequent Itemset Mining with Local Differential Privacy.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Time Lag Aware Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System.
Proceedings of the IEEE International Conference on Big Data, 2022

Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity Typing.
Proceedings of the IEEE International Conference on Big Data, 2022

Towards Robust Graph Neural Networks via Adversarial Contrastive Learning.
Proceedings of the IEEE International Conference on Big Data, 2022

Double-Environmental Q-Learning for Energy Management System in Smart Grid.
Proceedings of the IEEE International Conference on Big Data, 2022

Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders.
Proceedings of the IEEE International Conference on Big Data, 2022

Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation.
Proceedings of the IEEE International Conference on Big Data, 2022

Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer.
Proceedings of the IEEE International Conference on Big Data, 2022

AE-smnsMLC: Multi-Label Classification with Semantic Matching and Negative Label Sampling for Product Attribute Value Extraction.
Proceedings of the IEEE International Conference on Big Data, 2022

Few-Shot Radiology Report Generation via Knowledge Transfer and Multi-modal Alignment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Mitigating health disparities in EHR via deconfounder.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes?
Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis, 2022

Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection.
Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

A Self-Supervised Mixed-Curvature Graph Neural Network.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Graph Structure Learning with Variational Information Bottleneck.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Group Reassignment for Dynamic Edge Partitioning.
IEEE Trans. Parallel Distributed Syst., 2021

Beyond Frequency: Utility Mining with Varied Item-specific Minimum Utility.
ACM Trans. Internet Techn., 2021

Stream Data Cleaning under Speed and Acceleration Constraints.
ACM Trans. Database Syst., 2021

A Comprehensive Survey on Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2021

Smoothness Regularized Multiview Subspace Clustering With Kernel Learning.
IEEE Trans. Neural Networks Learn. Syst., 2021

Exploring Decomposition for Solving Pattern Mining Problems.
ACM Trans. Manag. Inf. Syst., 2021

Kollector: Detecting Fraudulent Activities on Mobile Devices Using Deep Learning.
IEEE Trans. Mob. Comput., 2021

MixSp: A Framework for Embedding Heterogeneous Information Networks With Arbitrary Number of Node and Edge Types.
IEEE Trans. Knowl. Data Eng., 2021

Network Embedding With Completely-Imbalanced Labels.
IEEE Trans. Knowl. Data Eng., 2021

Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks.
IEEE Trans. Knowl. Data Eng., 2021

Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification.
IEEE Trans. Knowl. Data Eng., 2021

Finding Route Hotspots in Large Labeled Networks.
IEEE Trans. Knowl. Data Eng., 2021

A Survey of Utility-Oriented Pattern Mining.
IEEE Trans. Knowl. Data Eng., 2021

A Domain Adaptive Density Clustering Algorithm for Data With Varying Density Distribution.
IEEE Trans. Knowl. Data Eng., 2021

Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks.
ACM Trans. Knowl. Discov. Data, 2021

Dynamic Graph Mining for Multi-weight Multi-destination Route Planning with Deadlines Constraints.
ACM Trans. Knowl. Discov. Data, 2021

Utility Mining Across Multi-Dimensional Sequences.
ACM Trans. Knowl. Discov. Data, 2021

A Comprehensive Survey of the Key Technologies and Challenges Surrounding Vehicular Ad Hoc Networks.
ACM Trans. Intell. Syst. Technol., 2021

Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network.
ACM Trans. Intell. Syst. Technol., 2021

Social Image Sentiment Analysis by Exploiting Multimodal Content and Heterogeneous Relations.
IEEE Trans. Ind. Informatics, 2021

Towards Revenue Maximization with Popular and Profitable Products.
Trans. Data Sci., 2021

Adaptively Weighted Multiview Proximity Learning for Clustering.
IEEE Trans. Cybern., 2021

Fast Utility Mining on Sequence Data.
IEEE Trans. Cybern., 2021

Community Hiding by Link Perturbation in Social Networks.
IEEE Trans. Comput. Soc. Syst., 2021

Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems Using Multi-objective Reinforcement Learning.
ACM Trans. Cyber Phys. Syst., 2021

Fused lasso for feature selection using structural information.
Pattern Recognit., 2021

Localization of multiple diffusion sources based on overlapping community detection.
Knowl. Based Syst., 2021

Cognitive structure learning model for hierarchical multi-label text classification.
Knowl. Based Syst., 2021

TKUS: Mining top-<i>k</i> high utility sequential patterns.
Inf. Sci., 2021

A fast diagonal distance metric learning approach for large-scale datasets.
Inf. Sci., 2021

Knowledge graph representation and reasoning.
Neurocomputing, 2021

Data science and AI in FinTech: an overview.
Int. J. Data Sci. Anal., 2021

Deep graph similarity learning: a survey.
Data Min. Knowl. Discov., 2021

Translational Concept Embedding for Generalized Compositional Zero-shot Learning.
CoRR, 2021

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.
CoRR, 2021

Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting.
CoRR, 2021

Utility-driven Mining of Contiguous Sequences.
CoRR, 2021

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation.
CoRR, 2021

Deep Learning Schema-based Event Extraction: Literature Review and Current Trends.
CoRR, 2021

Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations.
CoRR, 2021

Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection.
CoRR, 2021

Sketch-Based Streaming Anomaly Detection in Dynamic Graphs.
CoRR, 2021

Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation.
CoRR, 2021

A Comprehensive Survey on Community Detection with Deep Learning.
CoRR, 2021

Error-Robust Multi-View Clustering: Progress, Challenges and Opportunities.
CoRR, 2021

I-ODA, Real-World Multi-modal Longitudinal Data for OphthalmicApplications.
CoRR, 2021

An Introduction to Robust Graph Convolutional Networks.
CoRR, 2021

BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism.
CoRR, 2021

Graph Self-Supervised Learning: A Survey.
CoRR, 2021

Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation.
CoRR, 2021

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning.
CoRR, 2021

Dismantling Networks by Skeleton Extraction and Greedy Tree Breaking.
IEEE Access, 2021

IEEE Access Special Section Editorial: Utility-Pattern Mining: Theoretical Analytics and Applications.
IEEE Access, 2021

Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion.
Proceedings of the WWW '21: The Web Conference 2021, 2021

SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Highly Liquid Temporal Interaction Graph Embeddings.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs.
Proceedings of the WWW '21: The Web Conference 2021, 2021

ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Pseudo Siamese Network for Few-shot Intent Generation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Medical Triage Chatbot Diagnosis Improvement via Multi-relational Hyperbolic Graph Neural Network.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

User Preference-aware Fake News Detection.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

MT-STNets: Multi-Task Spatial-Temporal Networks for Multi-Scale Traffic Prediction.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Signature-Based Anomaly Detection in Networks.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

From Canonical Correlation Analysis to Self-supervised Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2nd International Workshop on Industrial Recommendation Systems (IRS).
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

The Third International TrueFact Workshop: Making a Credible Web for Tomorrow.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Graph Representation Learning: Foundations, Methods, Applications and Systems.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Cross-lingual COVID-19 Fake News Detection.
Proceedings of the 2021 International Conference on Data Mining, 2021

Graph Learning based Recommender Systems: A Review.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Tensor-Based Unsupervised Multi-View Feature Selection for Image Recognition.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2021

BioHanBERT: A Hanzi-aware Pre-trained Language Model for Chinese Biomedical Text Mining.
Proceedings of the IEEE International Conference on Data Mining, 2021

Outlier-Robust Multi-View Subspace Clustering with Prior Constraints.
Proceedings of the IEEE International Conference on Data Mining, 2021

Addressing Exposure Bias in Uplift Modeling for Large-scale Online Advertising.
Proceedings of the IEEE International Conference on Data Mining, 2021

ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network.
Proceedings of the IEEE International Conference on Data Mining, 2021

Structure-Aware Parameter-Free Group Query via Heterogeneous Information Network Transformer.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Dense Hierarchical Retrieval for Open-domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Semi-supervised Relation Extraction via Incremental Meta Self-Training.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

AE-UPCP: Seeking Potential Membership Users by Audience Expansion Combining User Preference with Consumption Pattern.
Proceedings of the Database Systems for Advanced Applications, 2021

MISS: A Multi-user Identification Network for Shared-Account Session-Aware Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2021

Pre-training Graph Neural Network for Cross Domain Recommendation.
Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

Improving Chinese Character Representation with Formation Graph Attention Network.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Hubness-aware User Identity Linkage.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Click-Through Rate Prediction with Multi-Modal Hypergraphs.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Hyperbolic Hypergraphs for Sequential Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

CvS: Classification via Segmentation For Small Datasets.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

I-ODA, Real-world Multi-modal Longitudinal Data for Ophthalmic Applications.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

Deep Fraud Detection on Non-attributed Graph.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

HAMLET: Hierarchical Attention-based Model with muLti-task sElf-Training for user profiling.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

MedTextSeg: A Deep Dual Sequential Model for Section Segmentation in Medical Reports.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A meta-feature based unified framework for both cold-start and warm-start explainable recommendations.
World Wide Web, 2020

Extracting diverse-shapelets for early classification on time series.
World Wide Web, 2020

Generative temporal link prediction via self-tokenized sequence modeling.
World Wide Web, 2020

MVStream: Multiview Data Stream Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2020

Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation.
IEEE Trans. Neural Networks Learn. Syst., 2020

Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation.
IEEE Trans. Multim., 2020

Utility-Driven Mining of Trend Information for Intelligent System.
ACM Trans. Manag. Inf. Syst., 2020

Network Embedding via Coupled Kernelized Multi-Dimensional Array Factorization.
IEEE Trans. Knowl. Data Eng., 2020

Locally Balanced Inductive Matrix Completion for Demand-Supply Inference in Stationless Bike-Sharing Systems.
IEEE Trans. Knowl. Data Eng., 2020

Edge2vec: Edge-based Social Network Embedding.
ACM Trans. Knowl. Discov. Data, 2020

Utility Mining across Multi-Sequences with Individualized Thresholds.
Trans. Data Sci., 2020

Differentially Private Malicious Agent Avoidance in Multiagent Advising Learning.
IEEE Trans. Cybern., 2020

HUOPM: High-Utility Occupancy Pattern Mining.
IEEE Trans. Cybern., 2020

Similarity-Based and Sybil Attack Defended Community Detection for Social Networks.
IEEE Trans. Circuits Syst., 2020

Trajectory-Based Community Detection.
IEEE Trans. Circuits Syst. II Express Briefs, 2020

Utility-Driven Data Analytics on Uncertain Data.
IEEE Syst. J., 2020

Optimizing Item and Subgroup Configurations for Social-Aware VR Shopping.
Proc. VLDB Endow., 2020

Deep Collaborative Embedding for information cascade prediction.
Knowl. Based Syst., 2020

Multi-view factorization machines for mobile app recommendation based on hierarchical attention.
Knowl. Based Syst., 2020

Modeling relation paths for knowledge base completion via joint adversarial training.
Knowl. Based Syst., 2020

Mixture distribution modeling for scalable graph-based semi-supervised learning.
Knowl. Based Syst., 2020

CDLFM: cross-domain recommendation for cold-start users via latent feature mapping.
Knowl. Inf. Syst., 2020

CAMAR: a broad learning based context-aware recommender for mobile applications.
Knowl. Inf. Syst., 2020

Mutual clustering on comparative texts via heterogeneous information networks.
Knowl. Inf. Syst., 2020

Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting.
Inf. Sci., 2020

ProUM: Projection-based utility mining on sequence data.
Inf. Sci., 2020

ICANE: interaction content-aware network embedding via co-embedding of nodes and edges.
Int. J. Data Sci. Anal., 2020

Differentially private model publishing in cyber physical systems.
Future Gener. Comput. Syst., 2020

Logless one-phase commit made possible for highly-available datastores.
Distributed Parallel Databases, 2020

Privacy and Robustness in Federated Learning: Attacks and Defenses.
CoRR, 2020

NaturalCC: A Toolkit to Naturalize the Source Code Corpus.
CoRR, 2020

TKUS: Mining Top-K High-Utility Sequential Patterns.
CoRR, 2020

Differential Advising in Multi-Agent Reinforcement Learning.
CoRR, 2020

Deoscillated Graph Collaborative Filtering.
CoRR, 2020

Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection.
CoRR, 2020

Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks.
CoRR, 2020

Fairness Constraints in Semi-supervised Learning.
CoRR, 2020

Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market.
CoRR, 2020

Adversarial Directed Graph Embedding.
CoRR, 2020

Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering.
CoRR, 2020

A Survey on Text Classification: From Shallow to Deep Learning.
CoRR, 2020

LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy.
CoRR, 2020

Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge.
CoRR, 2020

Forming an Electoral College for a Graph: a Heuristic Semi-supervised Learning Framework.
CoRR, 2020

User Memory Reasoning for Conversational Recommendation.
CoRR, 2020

Graph Learning Approaches to Recommender Systems: A Review.
CoRR, 2020

CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection.
CoRR, 2020

Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing (Technical Report).
CoRR, 2020

Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT.
CoRR, 2020

Differentially Private Deep Learning with Smooth Sensitivity.
CoRR, 2020

Influence Maximization with Spontaneous User Adoption.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking.
Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics, 2020

Improving Medical NLI Using Context-Aware Domain Knowledge.
Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics, 2020

Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Joint Training Capsule Network for Cold Start Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Commonsense Evidence Generation and Injection in Reading Comprehension.
Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2020

BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

On Supervised Change Detection in Graph Streams.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Multi-information Source HIN for Medical Concept Embedding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Learning Stable Graphs from Multiple Environments with Selection Bias.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Robust Spammer Detection by Nash Reinforcement Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Container Scheduling in Blockchain-based Cloud Service Platform.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Entity Synonym Discovery via Multipiece Bilateral Context Matching.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Deep Learning for Community Detection: Progress, Challenges and Opportunities.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Adversarial Mutual Information Learning for Network Embedding.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Multi-Task Learning of Generalizable Representations for Video Action Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

A Multi-Player Minimax Game for Generative Adversarial Networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Dynamic Graph Collaborative Filtering.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Perfect: A Hyperbolic Embedding for Joint User and Community Alignment.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

FakeDetector: Effective Fake News Detection with Deep Diffusive Neural Network.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Target Privacy Preserving for Social Networks.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Composed Variational Natural Language Generation for Few-shot Intents.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Semantic Matching and Aggregation Network for Few-shot Intent Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Code2Text: Dual Attention Syntax Annotation Networks for Structure-Aware Code Translation.
Proceedings of the Database Systems for Advanced Applications, 2020

Heterogeneous Replicas for Multi-dimensional Data Management.
Proceedings of the Database Systems for Advanced Applications, 2020

Heterogeneous Graph Embedding for Cross-Domain Recommendation Through Adversarial Learning.
Proceedings of the Database Systems for Advanced Applications, 2020

MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Understanding Pre-trained BERT for Aspect-based Sentiment Analysis.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

User Memory Reasoning for Conversational Recommendation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Low-shot Learning in Natural Language Processing.
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

Med2Meta: Learning Representations of Medical Concepts with Meta-embeddings.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

Heterogeneous Similarity Graph Neural Network on Electronic Health Records.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Basket Recommendation with Multi-Intent Translation Graph Neural Network.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

MLANE: Meta-Learning Based Adaptive Network Embedding.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

KASR: Knowledge-Aware Sequential Recommendation.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
SemRec: a personalized semantic recommendation method based on weighted heterogeneous information networks.
World Wide Web, 2019

Explainable recommendation with fusion of aspect information.
World Wide Web, 2019

A Bi-layered Parallel Training Architecture for Large-Scale Convolutional Neural Networks.
IEEE Trans. Parallel Distributed Syst., 2019

An Attention-augmented Deep Architecture for Hard Drive Status Monitoring in Large-scale Storage Systems.
ACM Trans. Storage, 2019

IAD: Interaction-Aware Diffusion Framework in Social Networks.
IEEE Trans. Knowl. Data Eng., 2019

Improved Consistent Weighted Sampling Revisited.
IEEE Trans. Knowl. Data Eng., 2019

Heterogeneous Information Network Embedding for Recommendation.
IEEE Trans. Knowl. Data Eng., 2019

Feature Selection via Transferring Knowledge Across Different Classes.
ACM Trans. Knowl. Discov. Data, 2019

A Survey of Parallel Sequential Pattern Mining.
ACM Trans. Knowl. Discov. Data, 2019

Efficient Traffic Estimation With Multi-Sourced Data by Parallel Coupled Hidden Markov Model.
IEEE Trans. Intell. Transp. Syst., 2019

Multi-View Fusion with Extreme Learning Machine for Clustering.
ACM Trans. Intell. Syst. Technol., 2019

Serendipitous Recommendation in E-Commerce Using Innovator-Based Collaborative Filtering.
IEEE Trans. Cybern., 2019

Classification, Denoising, and Deinterleaving of Pulse Streams With Recurrent Neural Networks.
IEEE Trans. Aerosp. Electron. Syst., 2019

Utilizing longitudinal microbiome taxonomic profiles to predict food allergy via Long Short-Term Memory networks.
PLoS Comput. Biol., 2019

An unsupervised parameter learning model for RVFL neural network.
Neural Networks, 2019

Adversarial learning for multi-view network embedding on incomplete graphs.
Knowl. Based Syst., 2019

Community detection using multilayer edge mixture model.
Knowl. Inf. Syst., 2019

Enhancing stock market prediction with extended coupled hidden Markov model over multi-sourced data.
Knowl. Inf. Syst., 2019

Integrated anchor and social link predictions across multiple social networks.
Knowl. Inf. Syst., 2019

Deep Latent Factor Model with Hierarchical Similarity Measure for recommender systems.
Inf. Sci., 2019

Correlated utility-based pattern mining.
Inf. Sci., 2019

A periodicity-based parallel time series prediction algorithm in cloud computing environments.
Inf. Sci., 2019

Multi-view collective tensor decomposition for cross-modal hashing.
Int. J. Multim. Inf. Retr., 2019

Multi-task network embedding.
Int. J. Data Sci. Anal., 2019

Introduction to the special issue on Big Data, IoT Streams and Heterogeneous Source Mining.
Int. J. Data Sci. Anal., 2019

Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings.
CoRR, 2019

A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution.
CoRR, 2019

Heterogeneous Graph Matching Networks.
CoRR, 2019

Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction.
CoRR, 2019

Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare.
CoRR, 2019

Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification.
CoRR, 2019

Self-Activation Influence Maximization.
CoRR, 2019

Missing Movie Synergistic Completion across Multiple Isomeric Online Movie Knowledge Libraries.
CoRR, 2019

Adversarial Defense Framework for Graph Neural Network.
CoRR, 2019

Fast Utility Mining on Complex Sequences.
CoRR, 2019

Distributed Deep Learning Model for Intelligent Video Surveillance Systems with Edge Computing.
CoRR, 2019

Multi-Hot Compact Network Embedding.
CoRR, 2019

WaveletFCNN: A Deep Time Series Classification Model for Wind Turbine Blade Icing Detection.
CoRR, 2019

Review Conversational Reading Comprehension.
CoRR, 2019

SynonymNet: Multi-context Bilateral Matching for Entity Synonyms.
CoRR, 2019

Coupled Tensor Decomposition for User Clustering in Mobile Internet Traffic Interaction Pattern.
IEEE Access, 2019

Cloud Service Community Detection for Real-World Service Networks Based on Parallel Graph Computing.
IEEE Access, 2019

A Score Prediction Approach for Optional Course Recommendation via Cross-User-Domain Collaborative Filtering.
IEEE Access, 2019

Info-Trust: A Multi-Criteria and Adaptive Trustworthiness Calculation Mechanism for Information Sources.
IEEE Access, 2019

Mining Spatiotemporal Diffusion Network: A New Framework of Active Surveillance Planning.
IEEE Access, 2019

Open-world Learning and Application to Product Classification.
Proceedings of the World Wide Web Conference, 2019

Heterogeneous Graph Attention Network.
Proceedings of the World Wide Web Conference, 2019

ProUM: High Utility Sequential Pattern Mining.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Integrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating Bias.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Multi-modal Attention Network Learning for Semantic Source Code Retrieval.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Deep Multi-Task Learning for Interpretable Glaucoma Detection.
Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019

Missing Entity Synergistic Completion across Multiple Isomeric Online Knowledge Libraries.
Proceedings of the International Joint Conference on Neural Networks, 2019

Transfer Learning for Network Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019

Heterogeneous Graph Matching Networks for Unknown Malware Detection.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Outlier-Robust Multi-Aspect Streaming Tensor Completion and Factorization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Leveraging Semi-Supervised Learning for Fairness using Neural Networks.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Z-Order Recurrent Neural Networks for Video Prediction.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

From Joint Feature Selection and Self-Representation Learning to Robust Multi-view Subspace Clustering.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Applying Differential Privacy Mechanism in Artificial Intelligence.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Maximum-Margin Hamming Hashing.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Virtual Adversarial Training for Semi-supervised Verification Tasks.
Proceedings of the 27th European Signal Processing Conference, 2019

MARS: Memory Attention-Aware Recommender System.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

DynGraphGAN: Dynamic Graph Embedding via Generative Adversarial Networks.
Proceedings of the Database Systems for Advanced Applications, 2019

Attention-Based Abnormal-Aware Fusion Network for Radiology Report Generation.
Proceedings of the Database Systems for Advanced Applications, 2019

Understanding Information Diffusion via Heterogeneous Information Network Embeddings.
Proceedings of the Database Systems for Advanced Applications, 2019

Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Generative Dual Adversarial Network for Generalized Zero-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Deep Heterogeneous Social Network Alignment.
Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019

EHR Coding with Multi-scale Feature Attention and Structured Knowledge Graph Propagation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Video-level Multi-model Fusion for Action Recognition.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Recent Developments of Deep Heterogeneous Information Network Analysis.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Deep Graph Similarity Learning for Brain Data Analysis.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Temporal Network Embedding with Micro- and Macro-dynamics.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Multi-Hot Compact Network Embedding.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Social-Aware VR Configuration Recommendation via Multi-Feedback Coupled Tensor Factorization.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Deep Diffusive Neural Network based Fake News Detection from Heterogeneous Social Networks.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Meta-path Reduction with Transition Probability Preserving in Heterogeneous Information Network.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Heterogeneous Graph Matching Networks: Application to Unknown Malware Detection.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

DNA: Dynamic Social Network Alignment.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Hybrid Deep Embedding for Recommendations with Dynamic Aspect-Level Explanations.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Walk2Privacy: Limiting target link privacy disclosure against the adversarial link prediction.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Utility-Driven Mining of High Utility Episodes.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Metapath Enhanced Graph Attention Encoder for HINs Representation Learning.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

The Link Regression Problem in Graph Streams.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Uncovering download fraud activities in mobile app markets.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

How to Reach: Discovering Multi-resolution Paths on Large Scale Networks.
Proceedings of the Web and Big Data - Third International Joint Conference, 2019

Mining Emerging High Utility Itemsets over Streaming Database.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

Joint Slot Filling and Intent Detection via Capsule Neural Networks.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Multi-grained Named Entity Recognition.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Private Model Compression via Knowledge Distillation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Adversarial Learning for Weakly-Supervised Social Network Alignment.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Broad Learning Through Fusions - An Application on Social Networks
Springer, ISBN: 978-3-030-12527-1, 2019

2018
Cross-Platform Social Network Analysis.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Graph Classification in Heterogeneous Networks.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Association Rule Mining on Streams.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

A topic model for co-occurring normal documents and short texts.
World Wide Web, 2018

MFPR: A Personalized Ranking Recommendation with Multiple Feedback.
ACM Trans. Soc. Comput., 2018

Multiple Structure-View Learning for Graph Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

Efficient Computation of G-Skyline Groups.
IEEE Trans. Knowl. Data Eng., 2018

A Comprehensive Study on Social Network Mental Disorders Detection via Online Social Media Mining.
IEEE Trans. Knowl. Data Eng., 2018

LoPub: High-Dimensional Crowdsourced Data Publication With Local Differential Privacy.
IEEE Trans. Inf. Forensics Secur., 2018

QMSampler: Joint Sampling of Multiple Networks with Quality Guarantee.
IEEE Trans. Big Data, 2018

Effective Prediction of Missing Data on Apache Spark over Multivariable Time Series.
IEEE Trans. Big Data, 2018

Broad Learning: : An Emerging Area in Social Network Analysis.
SIGKDD Explor., 2018

Improving stock market prediction via heterogeneous information fusion.
Knowl. Based Syst., 2018

Adversarial Attack and Defense on Graph Data: A Survey.
CoRR, 2018

Deep Program Reidentification: A Graph Neural Network Solution.
CoRR, 2018

Parallel Protein Community Detection in Large-scale PPI Networks Based on Multi-source Learning.
CoRR, 2018

Reversing Two-Stream Networks with Decoding Discrepancy Penalty for Robust Action Recognition.
CoRR, 2018

Product Title Refinement via Multi-Modal Generative Adversarial Learning.
CoRR, 2018

Similarity Learning with Higher-Order Proximity for Brain Network Analysis.
CoRR, 2018

Unsupervised Meta-path Reduction on Heterogeneous Information Networks.
CoRR, 2018

Learning to Accept New Classes without Training.
CoRR, 2018

TI-CNN: Convolutional Neural Networks for Fake News Detection.
CoRR, 2018

r-instance Learning for Missing People Tweets Identification.
CoRR, 2018

Understanding and Monitoring Human Trafficking via Social Sensors: A Sociological Approach.
CoRR, 2018

MARS: Memory Attention-Aware Recommender System.
CoRR, 2018

An Introduction to Image Synthesis with Generative Adversarial Nets.
CoRR, 2018

Multi-Round Influence Maximization (Extended Version).
CoRR, 2018

Stock Market Prediction via Multi-Source Multiple Instance Learning.
IEEE Access, 2018

Deep Dynamic Network Embedding for Link Prediction.
IEEE Access, 2018

On Exploring Semantic Meanings of Links for Embedding Social Networks.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Learning from Multi-View Multi-Way Data via Structural Factorization Machines.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Multi-Task Pharmacovigilance Mining from Social Media Posts.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Revenue Maximization on the Multi-grade Product.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

On Spectral Graph Embedding: A Non-Backtracking Perspective and Graph Approximation.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Spectral collaborative filtering.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Stratified Transfer Learning for Cross-domain Activity Recognition.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications, 2018

Interaction Content Aware Network Embedding via Co-embedding of Nodes and Edges.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Visual Domain Adaptation with Manifold Embedded Distribution Alignment.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Deep Priority Hashing.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Multi-view Collective Tensor Decomposition for Cross-modal Hashing.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

On the Generative Discovery of Structured Medical Knowledge.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Deep Recursive Network Embedding with Regular Equivalence.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Multi-Round Influence Maximization.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Active Opinion Maximization in Social Networks.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Improving automatic source code summarization via deep reinforcement learning.
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

On Learning Community-specific Similarity Metrics for Cold-start Link Prediction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Lifelong Domain Word Embedding via Meta-Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

Multi-View Fusion Through Cross-Modal Retrieval.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2018

SSDMV: Semi-Supervised Deep Social Spammer Detection by Multi-view Data Fusion.
Proceedings of the IEEE International Conference on Data Mining, 2018

FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation.
Proceedings of the IEEE International Conference on Data Mining, 2018

dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2018

A Self-Organizing Tensor Architecture for Multi-view Clustering.
Proceedings of the IEEE International Conference on Data Mining, 2018

Efficient Computation of G-Skyline Groups (Extended Abstract).
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Deep Learning towards Mobile Applications.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Deep Co-Investment Network Learning for Financial Assets.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Insert beyond the traffic sign recognition: constructing an auto-pilot map for autonomous vehicles.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

Zero-shot User Intent Detection via Capsule Neural Networks.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Cross-Domain Recommendation for Cold-Start Users via Neighborhood Based Feature Mapping.
Proceedings of the Database Systems for Advanced Applications, 2018

Next Generation Trustworthy Fraud Detection.
Proceedings of the 4th IEEE International Conference on Collaboration and Internet Computing, 2018

Newsfeed Filtering and Dissemination for Behavioral Therapy on Social Network Addictions.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Distribution Distance Minimization for Unsupervised User Identity Linkage.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Heterogeneous Neural Attentive Factorization Machine for Rating Prediction.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

DeepAuth: A Framework for Continuous User Re-authentication in Mobile Apps.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

PER: A Probabilistic Attentional Model for Personalized Text Recommendations.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Market Abnormality Period Detection via Co-movement Attention Model.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Semi-supervised Deep Representation Learning for Multi-View Problems.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Data-driven Blockbuster Planning on Online Movie Knowledge Library.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Securing Behavior-based Opinion Spam Detection.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Privacy Preserving Utility Mining: A Survey.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

CoUPM: Correlated Utility-based Pattern Mining.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

DeepFP: A Deep Learning Framework For User Fingerprinting via Mobile Motion Sensors.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Representation Learning with Depth and Breadth for Recommendation Using Multi-view Data.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Dual Attention Network for Product Compatibility and Function Satisfiability Analysis.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Differential Privacy and Applications
Advances in Information Security 69, Springer, ISBN: 978-3-319-62002-2, 2017

Community detection for emerging social networks.
World Wide Web, 2017

Predicting neighbor label distributions in dynamic heterogeneous information networks.
World Wide Web, 2017

Computing Urban Traffic Congestions by Incorporating Sparse GPS Probe Data and Social Media Data.
ACM Trans. Inf. Syst., 2017

Differentially Private Data Publishing and Analysis: A Survey.
IEEE Trans. Knowl. Data Eng., 2017

Matching Heterogeneous Events with Patterns.
IEEE Trans. Knowl. Data Eng., 2017

A Survey of Heterogeneous Information Network Analysis.
IEEE Trans. Knowl. Data Eng., 2017

Learning Bregman Distance Functions for Structural Learning to Rank.
IEEE Trans. Knowl. Data Eng., 2017

Probabilistic cleaning over trajectory events of mobile RFID objects.
ACM SIGSPATIAL Special, 2017

Constrained Active Learning for Anchor Link Prediction Across Multiple Heterogeneous Social Networks.
Sensors, 2017

Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing.
Proc. VLDB Endow., 2017

Spatial and semantical label inference for social media - A cross-network data fusion approach.
Knowl. Inf. Syst., 2017

Active zero-shot learning: a novel approach to extreme multi-labeled classification.
Int. J. Data Sci. Anal., 2017

Service recommendation based on parallel graph computing.
Distributed Parallel Databases, 2017

Reducing uncertainty of dynamic heterogeneous information networks: a fusing reconstructing approach.
Data Min. Knowl. Discov., 2017

To Vote Before Decide: A Logless One-Phase Commit Protocol for Highly-Available Datastores.
CoRR, 2017

Supervised Complementary Entity Recognition with Augmented Key-value Pairs of Knowledge.
CoRR, 2017

Newsfeed Screening for Behavioral Therapy to Social Network Mental Disorders.
CoRR, 2017

Learning from Multi-View Structural Data via Structural Factorization Machines.
CoRR, 2017

An experimental study on tuning the consistency of NoSQL systems.
Concurr. Comput. Pract. Exp., 2017

CHRS: Cold Start Recommendation Across Multiple Heterogeneous Information Networks.
IEEE Access, 2017

On Learning Mixed Community-specific Similarity Metrics for Cold-start Link Prediction.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Embedding Identity and Interest for Social Networks.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Cross View Link Prediction by Learning Noise-resilient Representation Consensus.
Proceedings of the 26th International Conference on World Wide Web, 2017

Joint Deep Modeling of Users and Items Using Reviews for Recommendation.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Enterprise Employee Training via Project Team Formation.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Link Prediction with Cardinality Constraint.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Embedding of Embedding (EOE): Joint Embedding for Coupled Heterogeneous Networks.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Multilinear Factorization Machines for Multi-Task Multi-View Learning.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

t-BNE: Tensor-based Brain Network Embedding.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

A novel ensemble approach on regionalized neural networks for brain disorder prediction.
Proceedings of the Symposium on Applied Computing, 2017

Rethinking Unsupervised Feature Selection: From Pseudo Labels to Pseudo Must-Links.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Collective Geographical Embedding for Geolocating Social Network Users.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Personalized Ranking Recommendation via Integrating Multiple Feedbacks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning Multiple Tasks with Multilinear Relationship Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Structural Deep Brain Network Mining.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Collective Fraud Detection Capturing Inter-Transaction Dependency.
Proceedings of the KDD 2017 Workshop on Anomaly Detection in Finance, 2017

Multi-view unsupervised feature selection by cross-diffused matrix alignment.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Collective discovery of brain networks with unknown groups.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

SEVEN: Deep Semi-supervised Verification Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Heterogeneous Service Information Mining Based on Parallel Computing.
Proceedings of the IEEE International Conference on Cognitive Computing, 2017

Mobile Application Rating Prediction via Feature-Oriented Matrix Factorization.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Low-Rank and Sparse Matrix Completion for Recommendation.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Kernelized Support Tensor Machines.
Proceedings of the 34th International Conference on Machine Learning, 2017

BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Collaborative Inference of Coexisting Information Diffusions.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Multi-view Graph Embedding with Hub Detection for Brain Network Analysis.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

A Broad Learning Approach for Context-Aware Mobile Application Recommendation.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Enterprise Community Detection.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

On Edge Classification in Networks with Structure and Content.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Rumor Initiator Detection in Infected Signed Networks.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

HashNet: Deep Learning to Hash by Continuation.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Disentangled Link Prediction for Signed Social Networks via Disentangled Representation Learning.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Multiple Social Role Embedding.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Review-Based Cross-Domain Recommendation Through Joint Tensor Factorization.
Proceedings of the Database Systems for Advanced Applications, 2017

Spatiotemporal Pyramid Network for Video Action Recognition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Multi-way Multi-level Kernel Modeling for Neuroimaging Classification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Measuring the relevance of different-typed objects in weighted signed heterogeneous information networks.
Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design, 2017

Deep and Broad Learning on Content-Aware POI Recommendation.
Proceedings of the 3rd IEEE International Conference on Collaboration and Internet Computing, 2017

Broad Learning based Multi-Source Collaborative Recommendation.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Unsupervised Feature Selection with Heterogeneous Side Information.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Coupled Sparse Matrix Factorization for Response Time Prediction in Logistics Services.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Multi-view Clustering with Graph Embedding for Connectome Analysis.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Differentially private query learning: From data publishing to model publishing.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Hierarchical collaborative embedding for context-aware recommendations.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Connecting emerging relationships from news via tensor factorization.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Bringing semantic structures to user intent detection in online medical queries.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Product function need recognition via semi-supervised attention network.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Contaminant removal for Android malware detection systems.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Error-robust multi-view clustering.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Inverse extreme learning machine for learning with label proportions.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Real Time Social Attitude Expression Prediction.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

Community detection on anti-vaping campaign audience.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Efficient Revenue Maximization for Viral Marketing in Social Networks.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

Heterogeneous Information Network Analysis and Applications
Data Analytics, Springer, ISBN: 978-3-319-56212-4, 2017

2016
Concurrent Alignment of Multiple Anonymized Social Networks with Generic Stable Matching.
Proceedings of the Theoretical Information Reuse and Integration, 2016

Multi-View Clustering Based on Belief Propagation.
IEEE Trans. Knowl. Data Eng., 2016

Efficient Algorithms for Mining Top-K High Utility Itemsets.
IEEE Trans. Knowl. Data Eng., 2016

A Comprehensive Study on Willingness Maximization for Social Activity Planning with Quality Guarantee.
IEEE Trans. Knowl. Data Eng., 2016

Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification.
IEEE Trans. Knowl. Data Eng., 2016

Deep Learning of Transferable Representation for Scalable Domain Adaptation.
IEEE Trans. Knowl. Data Eng., 2016

Recommendation for Repeat Consumption from User Implicit Feedback.
IEEE Trans. Knowl. Data Eng., 2016

Coranking the Future Influence of Multiobjects in Bibliographic Network Through Mutual Reinforcement.
ACM Trans. Intell. Syst. Technol., 2016

CPB: a classification-based approach for burst time prediction in cascades.
Knowl. Inf. Syst., 2016

Integrating heterogeneous information via flexible regularization framework for recommendation.
Knowl. Inf. Syst., 2016

Constrained-meta-path-based ranking in heterogeneous information network.
Knowl. Inf. Syst., 2016

Multi-type clustering in heterogeneous information networks.
Knowl. Inf. Syst., 2016

Clustering Embedded Approaches for Efficient Information Network Inference.
Data Sci. Eng., 2016

Intertwined Viral Marketing through Online Social Networks.
CoRR, 2016

Modularity in Complex Multilayer Networks with Multiple Aspects: A Static Perspective.
CoRR, 2016

Badge System Analysis and Design.
CoRR, 2016

Mining Compatible/Incompatible Entities from Question and Answering via Yes/No Answer Classification using Distant Label Expansion.
CoRR, 2016

Expenditure Aware Rating Prediction for Recommendation.
CoRR, 2016

Temporal Dynamic Matrix Factorization for Missing Data Prediction in Large Scale Coevolving Time Series.
IEEE Access, 2016

PCT: Partial Co-Alignment of Social Networks.
Proceedings of the 25th International Conference on World Wide Web, 2016

Mining User Intentions from Medical Queries: A Neural Network Based Heterogeneous Jointly Modeling Approach.
Proceedings of the 25th International Conference on World Wide Web, 2016

Mining Online Social Data for Detecting Social Network Mental Disorders.
Proceedings of the 25th International Conference on World Wide Web, 2016

HeteroSales: Utilizing Heterogeneous Social Networks to Identify the Next Enterprise Customer.
Proceedings of the 25th International Conference on World Wide Web, 2016

Multi-view Machines.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Two-Phase Mining for Frequent Closed Episodes.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Service topic model with probability distance.
Proceedings of the 9th International Conference on Utility and Cloud Computing, 2016

Composite Correlation Quantization for Efficient Multimodal Retrieval.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Identifying Connectivity Patterns for Brain Diseases via Multi-side-view Guided Deep Architectures.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Effective Crowd Expertise Modeling via Cross Domain Sparsity and Uncertainty Reduction.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Nonlinear Joint Unsupervised Feature Selection.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Spatio-Temporal Tensor Analysis for Whole-Brain fMRI Classification.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

RecExp: A Semantic Recommender System with Explanation Based on Heterogeneous Information Network.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Trust Hole Identification in Signed Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Enhancing Traffic Congestion Estimation with Social Media by Coupled Hidden Markov Model.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Semi-supervised Tensor Factorization for Brain Network Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

User-Guided Large Attributed Graph Clustering with Multiple Sparse Annotations.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Bicycle-Sharing System Analysis and Trip Prediction.
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

Collaborative Co-clustering across Multiple Social Media.
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

Estimating Urban Traffic Congestions with Multi-sourced Data.
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

Joint Community and Structural Hole Spanner Detection via Harmonic Modularity.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Deep Visual-Semantic Hashing for Cross-Modal Retrieval.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Discover Tipping Users for Cross Network Influencing (Invited Paper).
Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016

Multi-source Multi-view Clustering via discrepancy penalty.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Causality Based Propagation History Ranking in Social Networks.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Understanding Information Diffusion under Interactions.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Item Recommendation for Emerging Online Businesses.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Online Unsupervised Multi-view Feature Selection.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Bicycle-sharing systems expansion: station re-deployment through crowd planning.
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

Temporal Recommendation via Modeling Dynamic Interests with Inverted-U-Curves.
Proceedings of the Database Systems for Advanced Applications, 2016

Service Recommendation Based on Topics and Trend Prediction.
Proceedings of the Collaborate Computing: Networking, Applications and Worksharing, 2016

Trip Route Planning for Bicycle-Sharing Systems.
Proceedings of the 2nd IEEE International Conference on Collaboration and Internet Computing, 2016

Information Diffusion at Workplace.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Multi-source Hierarchical Prediction Consolidation.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Efficient Hidden Trajectory Reconstruction from Sparse Data.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Active Zero-Shot Learning.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Incomplete electrocardiogram time series prediction.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016

HEER: Heterogeneous graph embedding for emerging relation detection from news.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Interpretable and effective opinion spam detection via temporal patterns mining across websites.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

CER: Complementary entity recognition via knowledge expansion on large unlabeled product reviews.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Community detection with partially observable links and node attributes.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Expenditure aware rating prediction for recommendation.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Online multi-view clustering with incomplete views.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

DistSD: Distance-based social discovery with personalized posterior screening.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Inferring Social Influence of anti-Tobacco mass media campaigns.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Intertwined viral marketing in social networks.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Social badge system analysis.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Unsupervised Feature Selection by Preserving Stochastic Neighbors.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Unsupervised Feature Selection on Networks: A Generative View.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Multi-agent Reinforcement Learning for Service Composition.
Proceedings of the IEEE International Conference on Services Computing, 2016

2015
Privacy preserving graph publication in a distributed environment.
World Wide Web, 2015

Diversionary Comments under Blog Posts.
ACM Trans. Web, 2015

Top-k Similarity Join in Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng., 2015

Efficient Algorithms for Mining the Concise and Lossless Representation of High Utility Itemsets.
IEEE Trans. Knowl. Data Eng., 2015

Domain Invariant Transfer Kernel Learning.
IEEE Trans. Knowl. Data Eng., 2015

Subgraph Matching with Set Similarity in a Large Graph Database.
IEEE Trans. Knowl. Data Eng., 2015

Deception detection in Twitter.
Soc. Netw. Anal. Min., 2015

A robust one-class transfer learning method with uncertain data.
Knowl. Inf. Syst., 2015

On the anonymizability of graphs.
Knowl. Inf. Syst., 2015

Automated confidence ranked classification of randomized controlled trial articles: an aid to evidence-based medicine.
J. Am. Medical Informatics Assoc., 2015

Constructing plausible innocuous pseudo queries to protect user query intention.
Inf. Sci., 2015

Nonoccurring Behavior Analytics: A New Area.
IEEE Intell. Syst., 2015

Mutual Community Detection across Multiple Partially Aligned Social Networks.
CoRR, 2015

Partial Network Alignment with Anchor Meta Path and Truncated Generic Stable Matching.
CoRR, 2015

Compositional Correlation Quantization for Large-Scale Multimodal Search.
CoRR, 2015

Multi-view Machines.
CoRR, 2015

A review of heterogeneous data mining for brain disorders.
CoRR, 2015

Optimizing data partition for scaling out NoSQL cluster.
Concurr. Comput. Pract. Exp., 2015

Identifying HIV-induced subgraph patterns in brain networks with side information.
Brain Informatics, 2015

A review of heterogeneous data mining for brain disorder identification.
Brain Informatics, 2015

cluTM: Content and Link Integrated Topic Model on Heterogeneous Information Networks.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

Optimizing Data Partition for NoSQL Cluster.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

Orthogonal mechanism for answering batch queries with differential privacy.
Proceedings of the 27th International Conference on Scientific and Statistical Database Management, 2015

SCREEN: Stream Data Cleaning under Speed Constraints.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Concurrent goal-oriented co-clustering generation in social networks.
Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015

Community Detection for Emerging Networks.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Efficient Partial Order Preserving Unsupervised Feature Selection on Networks.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Predicting Neighbor Distribution in Heterogeneous Information Networks.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Frameworks to Encode User Preferences for Inferring Topic-sensitive Information Networks.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

OnlineCM: Real-time Consensus Classification with Missing Values.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Multiple Incomplete Views Clustering via Weighted Nonnegative Matrix Factorization with L<sub>2</sub>, 1 Regularization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Discovering Audience Groups and Group-Specific Influencers.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Influence Maximization Across Partially Aligned Heterogenous Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Scale-Adaptive Group Optimization for Social Activity Planning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Clustering on Multi-source Incomplete Data via Tensor Modeling and Factorization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Understanding Community Effects on Information Diffusion.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Organizational Chart Inference.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

An Effective Marketing Strategy for Revenue Maximization with a Quantity Constraint.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

PNA: Partial Network Alignment with Generic Stable Matching.
Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015

Integrated Anchor and Social Link Predictions across Social Networks.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

CENI: A Hybrid Framework for Efficiently Inferring Information Networks.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

WS-HFS: A Heterogeneous Feature Selection Framework for Web Services Mining.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Multiple Anonymized Social Networks Alignment.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Convex Approximation to the Integral Mixture Models Using Step Functions.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Ensemble of Diverse Sparsifications for Link Prediction in Large-Scale Networks.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Mining Brain Networks Using Multiple Side Views for Neurological Disorder Identification.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

On historical diagnosis of sensor streams.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Citywide traffic congestion estimation with social media.
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015

Reconstruction Privacy: Enabling Statistical Learning.
Proceedings of the 18th International Conference on Extending Database Technology, 2015

Sensor network partitioning based on homogeneity.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

A context-aware approach to detection of short irrelevant texts.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

An effective and economic bi-level approach to ranking and rating spam detection.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Inferring Diffusion Networks with Sparse Cascades by Structure Transfer.
Proceedings of the Database Systems for Advanced Applications, 2015

Public Information Sharing Behaviors Analysis over Different Social Media.
Proceedings of the IEEE Conference on Collaboration and Internet Computing, 2015

Enterprise Social Link Recommendation.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Learning Entity Types from Query Logs via Graph-Based Modeling.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Forming Online Support Groups for Internet and Behavior Related Addictions.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

The Unsupervised Hierarchical Convolutional Sparse Auto-Encoder for Neuroimaging Data Classification.
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015

Identification of Discriminative Subgraph Patterns in fMRI Brain Networks in Bipolar Affective Disorder.
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015

Mining Invisible Tasks in Non-free-choice Constructs.
Proceedings of the Business Process Management - 13th International Conference, 2015

Robust crowd bias correction via dual knowledge transfer from multiple overlapping sources.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Inferring crowd-sourced venues for tweets.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

MCD: Mutual Clustering across Multiple Social Networks.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

How TV advertising and social network help tobacco control campaigns influence more.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015

Modeling and Utilizing Dynamic Influence Strength for Personalized Promotion.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

Burst Time Prediction in Cascades.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Say It with Colors: Language-Independent Gender Classification on Twitter.
Proceedings of the Online Social Media Analysis and Visualization, 2014

Correlated network data publication via differential privacy.
VLDB J., 2014

Bag Constrained Structure Pattern Mining for Multi-Graph Classification.
IEEE Trans. Knowl. Data Eng., 2014

NEIWalk: Community Discovery in Dynamic Content-Based Networks.
IEEE Trans. Knowl. Data Eng., 2014

Structural Diversity for Resisting Community Identification in Published Social Networks.
IEEE Trans. Knowl. Data Eng., 2014

Identity Protection in Sequential Releases of Dynamic Networks.
IEEE Trans. Knowl. Data Eng., 2014

HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks.
IEEE Trans. Knowl. Data Eng., 2014

Adaptation Regularization: A General Framework for Transfer Learning.
IEEE Trans. Knowl. Data Eng., 2014

An Efficient Approach for Outlier Detection with Imperfect Data Labels.
IEEE Trans. Knowl. Data Eng., 2014

Uncertain One-Class Learning and Concept Summarization Learning on Uncertain Data Streams.
IEEE Trans. Knowl. Data Eng., 2014

On the Use of Side Information for Mining Text Data.
IEEE Trans. Knowl. Data Eng., 2014

Multi-Label Classification Based on Multi-Objective Optimization.
ACM Trans. Intell. Syst. Technol., 2014

Privacy Preserving Social Network Publication Against Mutual Friend Attacks.
Trans. Data Priv., 2014

Measure the Semantic Similarity of GO Terms Using Aggregate Information Content.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

GBC: Gradient boosting consensus model for heterogeneous data.
Stat. Anal. Data Min., 2014

A framework for dynamic link prediction in heterogeneous networks.
Stat. Anal. Data Min., 2014

An efficient orientation distance-based discriminative feature extraction method for multi-classification.
Knowl. Inf. Syst., 2014

Protect You More Than Blank: Anti-Learning Sensitive User Information in the Social Networks.
J. Comput. Sci. Technol., 2014

HRank: A Path based Ranking Framework in Heterogeneous Information Network.
CoRR, 2014

Comparison and Selection of objective Functions in multiobjective Community Detection.
Comput. Intell., 2014

G-Bean: an ontology-graph based web tool for biomedical literature retrieval.
BMC Bioinform., 2014

Deriving latent social impulses to determine longevous videos.
Proceedings of the 23rd International World Wide Web Conference, 2014

Transferring heterogeneous links across location-based social networks.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Inferring the impacts of social media on crowdfunding.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

HRank: A Path Based Ranking Method in Heterogeneous Information Network.
Proceedings of the Web-Age Information Management - 15th International Conference, 2014

When and Where: Predicting Human Movements Based on Social Spatial-Temporal Events.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Future Influence Ranking of Scientific Literature.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Learning on Probabilistic Labels.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Large-Scale Multi-Label Learning with Incomplete Label Assignments.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Visual Recognition by Exploiting Latent Social Links in Image Collections.
Proceedings of the MultiMedia Modeling - 20th Anniversary International Conference, 2014

Trajectory Event Cleaning for Mobile RFID Objects.
Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014

Mining Mobility Evolution from Check-In Datasets.
Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014

Meta-path based multi-network collective link prediction.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Class-distribution regularized consensus maximization for alleviating overfitting in model combination.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

MMRate: inferring multi-aspect diffusion networks with multi-pattern cascades.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Preface.
Proceedings of the 3rd International Workshop on Big Data, 2014

A hybrid coupled k-nearest neighbor algorithm on imbalance data.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Coupled fuzzy k-nearest neighbors classification of imbalanced non-IID categorical data.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks.
Proceedings of the 31th International Conference on Machine Learning, 2014

Discovering Organizational Correlations from Twitter.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

RS-Forest: A Rapid Density Estimator for Streaming Anomaly Detection.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Why Checkins: Exploring User Motivation on Location Based Social Networks.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Steering Information Diffusion Dynamically against User Attention Limitation.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Low-Density Cut Based Tree Decomposition for Large-Scale SVM Problems.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Collective Prediction of Multiple Types of Links in Heterogeneous Information Networks.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Matching heterogeneous events with patterns.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Welcome from DSAA 2014 chairs.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Storage efficient graph search by composite dynamic-and-static indexing of a single network.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Assessing the longevity of online videos: A new insight of a video's quality.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Transfer Joint Matching for Unsupervised Domain Adaptation.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Transferring influence: Supervised learning for efficient influence maximization across networks.
Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, 2014

NCR: A Scalable Network-Based Approach to Co-Ranking in Question-and-Answer Sites.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Ranking-based Clustering on General Heterogeneous Information Networks by Network Projection.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Identifying Your Customers in Social Networks.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Synergistic partitioning in multiple large scale social networks.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Detecting deception in Online Social Networks.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

An Effective Approach on Overlapping Structures Discovery for Co-clustering.
Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

Active Learning: A Survey.
Proceedings of the Data Classification: Algorithms and Applications, 2014

2013
Comparable dependencies over heterogeneous data.
VLDB J., 2013

Computing weight constraint reachability in large networks.
VLDB J., 2013

Protecting Sensitive Labels in Social Network Data Anonymization.
IEEE Trans. Knowl. Data Eng., 2013

Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases.
IEEE Trans. Knowl. Data Eng., 2013

Transfer across Completely Different Feature Spaces via Spectral Embedding.
IEEE Trans. Knowl. Data Eng., 2013

PathSelClus: Integrating Meta-Path Selection with User-Guided Object Clustering in Heterogeneous Information Networks.
ACM Trans. Knowl. Discov. Data, 2013

Social network and high performance in smart communications.
J. Supercomput., 2013

Brain network analysis: a data mining perspective.
SIGKDD Explor., 2013

Willingness Optimization for Social Group Activity.
Proc. VLDB Endow., 2013

Special issue on behavior computing.
Knowl. Inf. Syst., 2013

Meta Path-Based Collective Classification in Heterogeneous Information Networks
CoRR, 2013

Pattern Based Graph Generator
CoRR, 2013

Latent Networks Fusion based Model for Event Recommendation in Offline Ephemeral Social Networks.
CoRR, 2013

On the Feature Discovery for App Usage Prediction in Smartphones.
CoRR, 2013

Mining interesting user behavior patterns in mobile commerce environments.
Appl. Intell., 2013

Anatomy of a web-scale resale market: a data mining approach.
Proceedings of the 22nd International World Wide Web Conference, 2013

LaFT-tree: perceiving the expansion trace of one's circle of friends in online social networks.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Guide Query in Social Networks.
Proceedings of the Web-Age Information Management - 14th International Conference, 2013

On optimal worst-case matching.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Learning latent friendship propagation networks with interest awareness for link prediction.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

On Graph Stream Clustering with Side Information.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Monitoring and mining GPS traces in transit space.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Dynamic Community Detection in Weighted Graph Streams.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Discriminative Feature Selection for Uncertain Graph Classification.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

MODS: Multiple One-class Data Streams Learning from Homogeneous Data.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Dynamic Shaker Detection from Evolving Entities.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Efficient Selection of Globally Optimal Rules on Large Imbalanced Data Based on Rule Coverage Relationship Analysis.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Robust Textual Data Streams Mining Based on Continuous Transfer Learning.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Community Detection with Prior Knowledge.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Integrating Clustering and Ranking on Hybrid Heterogeneous Information Network.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

One-Class Transfer Learning with Uncertain Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Mining Usage Traces of Mobile Apps for Dynamic Preference Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Real-Time Street Parking Availability Estimation.
Proceedings of the 2013 IEEE 14th International Conference on Mobile Data Management, Milan, Italy, June 3-6, 2013, 2013

Distant-Time Location Prediction in Low-Sampling-Rate Trajectories.
Proceedings of the 2013 IEEE 14th International Conference on Mobile Data Management, Milan, Italy, June 3-6, 2013, 2013

Inferring social roles and statuses in social networks.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

LAFT-Explorer: inferring, visualizing and predicting how your social network expands.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Mining high utility episodes in complex event sequences.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Extracting social events for learning better information diffusion models.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Multi-label classification by mining label and instance correlations from heterogeneous information networks.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Inferring distant-time location in low-sampling-rate trajectories.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Empirical Evaluation of Profile Characteristics for Gender Classification on Twitter.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Predicting Social Links for New Users across Aligned Heterogeneous Social Networks.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Multilabel Consensus Classification.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

On Pattern Preserving Graph Generation.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Clustering on Multiple Incomplete Datasets via Collective Kernel Learning.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

On the Feature Discovery for App Usage Prediction in Smartphones.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

RECODS: Replica consistency-on-demand store.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Graph stream classification using labeled and unlabeled graphs.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Transfer Feature Learning with Joint Distribution Adaptation.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Transfer Sparse Coding for Robust Image Representation.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Silence behavior mining on online social networks.
Proceedings of the 9th IEEE International Conference on Collaborative Computing: Networking, 2013

Predicting trends in social networks via dynamic activeness model.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

An effective latent networks fusion based model for event recommendation in offline ephemeral social networks.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Inferring anchor links across multiple heterogeneous social networks.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Language independent gender classification on Twitter.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Towards Cohesive Anomaly Mining.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Dimensionality Reduction and Filtering on Time Series Sensor Streams.
Proceedings of the Managing and Mining Sensor Data, 2013

Efficient Direct Mining of Selective Discriminative Patterns for Classification.
Proceedings of the Contrast Data Mining: Concepts, Algorithms, and Applications, 2013

2012
Exploring latent browsing graph for question answering recommendation.
World Wide Web, 2012

Homogeneous and Heterogeneous Distributed Classification for Pocket Data Mining.
Trans. Large Scale Data Knowl. Centered Syst., 2012

Coupled Behavior Analysis with Applications.
IEEE Trans. Knowl. Data Eng., 2012

Generative Models for Evolutionary Clustering.
ACM Trans. Knowl. Discov. Data, 2012

Identify Online Store Review Spammers via Social Review Graph.
ACM Trans. Intell. Syst. Technol., 2012

Mobile Systems Privacy: 'MobiPriv' A Robust System for Snapshot or Continuous Querying Location Based Mobile Systems.
Trans. Data Priv., 2012

Modeling blogger influence in a community.
Soc. Netw. Anal. Min., 2012

Mining Frequent Itemsets over Uncertain Databases.
Proc. VLDB Endow., 2012

Mining Knowledge from Interconnected Data: A Heterogeneous Information Network Analysis Approach.
Proc. VLDB Endow., 2012

Early classification on time series.
Knowl. Inf. Syst., 2012

gMLC: a multi-label feature selection framework for graph classification.
Knowl. Inf. Syst., 2012

Overlapping community detection combining content and link.
J. Zhejiang Univ. Sci. C, 2012

Gateway finder in large graphs: problem definitions and fast solutions.
Inf. Retr., 2012

Efficient algorithms for mining maximal high utility itemsets from data streams with different models.
Expert Syst. Appl., 2012

On the network effect in Web 2.0 applications.
Electron. Commer. Res. Appl., 2012

Guest editorial: special issue on data mining technologies for computational social science.
Data Min. Knowl. Discov., 2012

Latency Bounding by Trading off Consistency in NoSQL Store: A Staging and Stepwise Approach
CoRR, 2012

Implementation of Privacy-preserving SimRank over Distributed Information Network
CoRR, 2012

A brief introduction to agent mining.
Auton. Agents Multi Agent Syst., 2012

Review spam detection via time series pattern discovery.
Proceedings of the 21st World Wide Web Conference, 2012

Community detection in incomplete information networks.
Proceedings of the 21st World Wide Web Conference 2012, 2012

An Iterative and Re-weighting Framework for Rejection and Uncertainty Resolution in Crowdsourcing.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Learning from Heterogeneous Sources via Gradient Boosting Consensus.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Multi-Objective Multi-Label Classification.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Transfer Significant Subgraphs across Graph Databases.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

On Dynamic Link Inference in Heterogeneous Networks.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

On Influential Node Discovery in Dynamic Social Networks.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

PhonePark: Street Parking Using Mobile Phones.
Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012

Review spam detection via temporal pattern discovery.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Mining top-K high utility itemsets.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Magnet community identification on social networks.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

UFIMT: an uncertain frequent itemset mining toolbox.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Integrating meta-path selection with user-guided object clustering in heterogeneous information networks.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

HeteRecom: a semantic-based recommendation systemin heterogeneous networks.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Dimensionality Reduction on Heterogeneous Feature Space.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Privacy-Preserving SimRank over Distributed Information Network.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Attribute-Based Subsequence Matching and Mining.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Mining Knowledge from Data: An Information Network Analysis Approach.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

On Text Clustering with Side Information.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

A profile-based framework for interaction prediction.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

Relevance search in heterogeneous networks.
Proceedings of the 15th International Conference on Extending Database Technology, 2012

Limiting link disclosure in social network analysis through subgraph-wise perturbation.
Proceedings of the 15th International Conference on Extending Database Technology, 2012

Searching by corpus with fingerprints.
Proceedings of the 15th International Conference on Extending Database Technology, 2012

Effective Next-Items Recommendation via Personalized Sequential Pattern Mining.
Proceedings of the Database Systems for Advanced Applications, 2012

Diversionary comments under political blog posts.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Influence and similarity on heterogeneous networks.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Meta path-based collective classification in heterogeneous information networks.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Discovering geometric patterns in genomic data.
Proceedings of the ACM International Conference on Bioinformatics, 2012

Behavior Computing - Modeling, Analysis, Mining and Decision.
Springer, ISBN: 978-1-4471-2968-4, 2012

2011
Leadership discovery when data correlatively evolve.
World Wide Web, 2011

Maximizing bichromatic reverse nearest neighbor for L p -norm in two- and three-dimensional spaces.
VLDB J., 2011

Efficient Relevance Feedback for Content-Based Image Retrieval by Mining User Navigation Patterns.
IEEE Trans. Knowl. Data Eng., 2011

Mining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based Service Environments.
IEEE Trans. Knowl. Data Eng., 2011

Load Shedding in Mobile Systems with MobiQual.
IEEE Trans. Knowl. Data Eng., 2011

Graph Pattern Matching: A Join/Semijoin Approach.
IEEE Trans. Knowl. Data Eng., 2011

Can the Utility of Anonymized Data be Used for Privacy Breaches?
ACM Trans. Knowl. Discov. Data, 2011

Mining Top-K Large Structural Patterns in a Massive Network.
Proc. VLDB Endow., 2011

PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks.
Proc. VLDB Endow., 2011

InfoNetOLAPer: Integrating InfoNetWarehouse and InfoNetCube with InfoNetOLAP.
Proc. VLDB Endow., 2011

One-class learning and concept summarization for data streams.
Knowl. Inf. Syst., 2011

Processing high data rate streams in System S.
J. Parallel Distributed Comput., 2011

WF-MSB: A weighted fuzzy-based biclustering method for gene expression data.
Int. J. Data Min. Bioinform., 2011

Extracting Interpretable Features for Early Classification on Time Series.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Structural Diversity for Privacy in Publishing Social Networks.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

One-Class-Based Uncertain Data Stream Learning.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Multi-Label Collective Classification.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Towards Community Detection in Locally Heterogeneous Networks.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Multi-label Ensemble Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Discovering Valuable User Behavior Patterns in Mobile Commerce Environments.
Proceedings of the New Frontiers in Applied Data Mining, 2011

Privacy-preserving social network publication against friendship attacks.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Discovering shakers from evolving entities via cascading graph inference.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Differentially private data release for data mining.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Dual active feature and sample selection for graph classification.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

On dynamic data-driven selection of sensor streams.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Distributed Classification for Pocket Data Mining.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Distributed hoeffding trees for pocket data mining.
Proceedings of the 2011 International Conference on High Performance Computing & Simulation, 2011

Positive and Unlabeled Learning for Graph Classification.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Efficient Mining of a Concise and Lossless Representation of High Utility Itemsets.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Review Graph Based Online Store Review Spammer Detection.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

ADANA: Active Name Disambiguation.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Identities Anonymization in Dynamic Social Networks.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

On the Hardness of Graph Anonymization.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

On data dependencies in dataspaces.
Proceedings of the 27th International Conference on Data Engineering, 2011

Outlier detection in graph streams.
Proceedings of the 27th International Conference on Data Engineering, 2011

Transportation mode detection using mobile phones and GIS information.
Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011

Mining High Utility Mobile Sequential Patterns in Mobile Commerce Environments.
Proceedings of the Database Systems for Advanced Applications, 2011

Efficient Topological OLAP on Information Networks.
Proceedings of the Database Systems for Advanced Applications, 2011

ECODE: Event-Based Community Detection from Social Networks.
Proceedings of the Database Systems for Advanced Applications, 2011

An ensemble-based approach to fast classification of multi-label data streams.
Proceedings of the 7th International Conference on Collaborative Computing: Networking, 2011

Pattern change discovery between high dimensional data sets.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

CP-index: on the efficient indexing of large graphs.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

On selection of objective functions in multi-objective community detection.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Collective prediction with latent graphs.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Information Networks Mining and Analysis.
Proceedings of the Web Technologies and Applications - 13th Asia-Pacific Web Conference, 2011

2010
Mining Concept-Drifting Data Streams.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

Rights protection of trajectory datasets with nearest-neighbor preservation.
VLDB J., 2010

Optimal distance bounds for fast search on compressed time-series query logs.
ACM Trans. Web, 2010

Introduction to the Domain-Driven Data Mining Special Section.
IEEE Trans. Knowl. Data Eng., 2010

ACM TKDD Special Issue on Knowledge Discovery for Web Intelligence.
ACM Trans. Knowl. Discov. Data, 2010

Limitations of matrix completion via trace norm minimization.
SIGKDD Explor., 2010

Discriminative frequent subgraph mining with optimality guarantees.
Stat. Anal. Data Min., 2010

A framework for clustering massive graph streams.
Stat. Anal. Data Min., 2010

Personalized Privacy Protection in Social Networks.
Proc. VLDB Endow., 2010

On Dense Pattern Mining in Graph Streams.
Proc. VLDB Endow., 2010

A general framework for relation graph clustering.
Knowl. Inf. Syst., 2010

On clustering massive text and categorical data streams.
Knowl. Inf. Syst., 2010

Guest Editors' Introduction: Social Computing in the Blogosphere.
IEEE Internet Comput., 2010

Music Recommendation Using Content and Context Information Mining.
IEEE Intell. Syst., 2010

Privacy-preserving data publishing: A survey of recent developments.
ACM Comput. Surv., 2010

A motion-aware safe period-based framework for spatial alarm processing.
Comput. Syst. Sci. Eng., 2010

Mobile systems location privacy: "MobiPriv" a robust k anonymous system.
Proceedings of the IEEE 6th International Conference on Wireless and Mobile Computing, 2010

Mining knowledge from databases: an information network analysis approach.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Predictive Modeling with Heterogeneous Sources.
Proceedings of the SIAM International Conference on Data Mining, 2010

On Clustering Graph Streams.
Proceedings of the SIAM International Conference on Data Mining, 2010

On Classification of High-Cardinality Data Streams.
Proceedings of the SIAM International Conference on Data Mining, 2010

Online mining of temporal maximal utility itemsets from data streams.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

BASSET: Scalable Gateway Finder in Large Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

UP-Growth: an efficient algorithm for high utility itemset mining.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

k-Support anonymity based on pseudo taxonomy for outsourcing of frequent itemset mining.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Semi-supervised feature selection for graph classification.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Detecting abnormal coupled sequences and sequence changes in group-based manipulative trading behaviors.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Evidence-based medicine, the essential role of systematic reviews, and the need for automated text mining tools.
Proceedings of the ACM International Health Informatics Symposium, 2010

Pocket Data Mining: Towards Collaborative Data Mining in Mobile Computing Environments.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

Max-Clique: A Top-Down Graph-Based Approach to Frequent Pattern Mining.
Proceedings of the ICDM 2010, 2010

Probabilistic Inference Protection on Anonymized Data.
Proceedings of the ICDM 2010, 2010

Transfer Learning on Heterogenous Feature Spaces via Spectral Transformation.
Proceedings of the ICDM 2010, 2010

Efficient Semi-supervised Spectral Co-clustering with Constraints.
Proceedings of the ICDM 2010, 2010

A Comparison of Objective Functions in Network Community Detection.
Proceedings of the ICDMW 2010, 2010

Exploiting Local Data Uncertainty to Boost Global Outlier Detection.
Proceedings of the ICDM 2010, 2010

Vote-Based LELC for Positive and Unlabeled Textual Data Streams.
Proceedings of the ICDMW 2010, 2010

Multi-label Feature Selection for Graph Classification.
Proceedings of the ICDM 2010, 2010

Detecting Leaders from Correlated Time Series.
Proceedings of the Database Systems for Advanced Applications, 2010

Mining Diversity on Networks.
Proceedings of the Database Systems for Advanced Applications, 2010

Global privacy and transportation mode homogeneity anonymization in location based mobile systems with continuous queries.
Proceedings of the 6th International Conference on Collaborative Computing: Networking, 2010

On wavelet decomposition of uncertain time series data sets.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Orientation distance-based discriminative feature extraction for multi-class classification.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Machine Learning Approaches to Link-Based Clustering.
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

Veracity Analysis and Object Distinction.
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

Scalable Link-Based Similarity Computation and Clustering.
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

Proximity Tracking on Dynamic Bipartite Graphs: Problem Definitions and Fast Solutions.
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

Community Evolution and Change Point Detection in Time-Evolving Graphs.
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

Time Sensitive Ranking with Application to Publication Search.
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

InfoNetOLAP: OLAP and Mining of Information Networks.
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

2009
Association Rule Mining on Streams.
Proceedings of the Encyclopedia of Database Systems, 2009

Online pairing of VoIP conversations.
VLDB J., 2009

CellJoin: a parallel stream join operator for the cell processor.
VLDB J., 2009

A Survey of Uncertain Data Algorithms and Applications.
IEEE Trans. Knowl. Data Eng., 2009

Density-based clustering of data streams at multiple resolutions.
ACM Trans. Knowl. Discov. Data, 2009

Introduction to special issue on social computing, behavioral modeling, and prediction.
ACM Trans. Knowl. Discov. Data, 2009

Efficient Method for Maximizing Bichromatic Reverse Nearest Neighbor.
Proc. VLDB Endow., 2009

GConnect: A Connectivity Index for Massive Disk-resident Graphs.
Proc. VLDB Endow., 2009

G-SESAME: web tools for GO-term-based gene similarity analysis and knowledge discovery.
Nucleic Acids Res., 2009

Answering linear optimization queries with an approximate stream index.
Knowl. Inf. Syst., 2009

Graph OLAP: a multi-dimensional framework for graph data analysis.
Knowl. Inf. Syst., 2009

Embedding and Retrieving Private Metadata in Electrocardiograms.
J. Medical Syst., 2009

Information discovery across multiple streams.
Inf. Sci., 2009

Anonymization with Worst-Case Distribution-Based Background Knowledge
CoRR, 2009

Can the Utility of Anonymized Data be used for Privacy Breaches?
CoRR, 2009

Behavior Informatics: An Informatics Perspective for Behavior Studies.
IEEE Intell. Informatics Bull., 2009

Online Auctions: There Can Be Only One.
Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing, 2009

Optimal Distance Bounds on Time-Series Data.
Proceedings of the SIAM International Conference on Data Mining, 2009

Near-optimal Supervised Feature Selection among Frequent Subgraphs.
Proceedings of the SIAM International Conference on Data Mining, 2009

Positive Unlabeled Learning for Data Stream Classification.
Proceedings of the SIAM International Conference on Data Mining, 2009

Early Prediction on Time Series: A Nearest Neighbor Approach.
Proceedings of the IJCAI 2009, 2009

Efficient Incremental Mining of Qualified Web Traversal Patterns without Scanning Original Databases.
Proceedings of the ICDM Workshops 2009, 2009

Why Naive Ensembles Do Not Work in Cloud Computing.
Proceedings of the ICDM Workshops 2009, 2009

Connecting Sparsely Distributed Similar Bloggers.
Proceedings of the ICDM 2009, 2009

On Efficient Query Processing of Stream Counts on the Cell Processor.
Proceedings of the 25th International Conference on Data Engineering, 2009

Privacy-Preserving Singular Value Decomposition.
Proceedings of the 25th International Conference on Data Engineering, 2009

Scale-Up Strategies for Processing High-Rate Data Streams in System S.
Proceedings of the 25th International Conference on Data Engineering, 2009

Distributed Processing of Spatial Alarms: A Safe Region-Based Approach.
Proceedings of the 29th IEEE International Conference on Distributed Computing Systems (ICDCS 2009), 2009

PROUD: a probabilistic approach to processing similarity queries over uncertain data streams.
Proceedings of the EDBT 2009, 2009

Scalable OLAP and mining of information networks.
Proceedings of the EDBT 2009, 2009

2008
Approximate Frequent Itemset Mining In the Presence of Random Noise.
Proceedings of the Soft Computing for Knowledge Discovery and Data Mining, 2008

A Survey of Randomization Methods for Privacy-Preserving Data Mining.
Proceedings of the Privacy-Preserving Data Mining - Models and Algorithms, 2008

A General Survey of Privacy-Preserving Data Mining Models and Algorithms.
Proceedings of the Privacy-Preserving Data Mining - Models and Algorithms, 2008

An Introduction to Privacy-Preserving Data Mining.
Proceedings of the Privacy-Preserving Data Mining - Models and Algorithms, 2008

Privacy-Preserving Data Mining: A Survey.
Proceedings of the Handbook of Database Security - Applications and Trends, 2008

DAWN: an efficient framework of DCT for data with error estimation.
VLDB J., 2008

peerTalk: A Peer-to-Peer Multiparty Voice-over-IP System.
IEEE Trans. Parallel Distributed Syst., 2008

Storage optimization for large-scale distributed stream-processing systems.
ACM Trans. Storage, 2008

On static and dynamic methods for condensation-based privacy-preserving data mining.
ACM Trans. Database Syst., 2008

Truth Discovery with Multiple Conflicting Information Providers on the Web.
IEEE Trans. Knowl. Data Eng., 2008

Incremental tensor analysis: Theory and applications.
ACM Trans. Knowl. Discov. Data, 2008

Fast Monitoring Proximity and Centrality on Time-evolving Bipartite Graphs.
Stat. Anal. Data Min., 2008

LeeWave: level-wise distribution of wavelet coefficients for processing <i>k</i>NN queries over distributed streams.
Proc. VLDB Endow., 2008

Top 10 algorithms in data mining.
Knowl. Inf. Syst., 2008

Classifying Data Streams with Skewed Class Distributions and Concept Drifts.
IEEE Internet Comput., 2008

Correlating burst events on streaming stock market data.
Data Min. Knowl. Discov., 2008

A framework for condensation-based anonymization of string data.
Data Min. Knowl. Discov., 2008

A holistic lexicon-based approach to opinion mining.
Proceedings of the International Conference on Web Search and Web Data Mining, 2008

Identifying the influential bloggers in a community.
Proceedings of the International Conference on Web Search and Web Data Mining, 2008

Temperature-Aware Scheduling: When is System-Throttling Good Enough?
Proceedings of the Ninth International Conference on Web-Age Information Management, 2008

Mining significant graph patterns by leap search.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

SPADE: the system s declarative stream processing engine.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Mining Sequence Classifiers for Early Prediction.
Proceedings of the SIAM International Conference on Data Mining, 2008

Proximity Tracking on Time-Evolving Bipartite Graphs.
Proceedings of the SIAM International Conference on Data Mining, 2008

Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing.
Proceedings of the SIAM International Conference on Data Mining, 2008

A General Model for Multiple View Unsupervised Learning.
Proceedings of the SIAM International Conference on Data Mining, 2008

On Indexing High Demensional Data with Uncertainty.
Proceedings of the SIAM International Conference on Data Mining, 2008

Outlier Detection with Uncertain Data.
Proceedings of the SIAM International Conference on Data Mining, 2008

Hierarchical, Parameter-Free Community Discovery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Forward Semi-supervised Feature Selection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Anonymizing transaction databases for publication.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Colibri: fast mining of large static and dynamic graphs.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Direct mining of discriminative and essential frequent patterns via model-based search tree.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

A Context-Driven Content Adaptation Planner for Improving Mobile Internet Accessibility.
Proceedings of the 2008 IEEE International Conference on Web Services (ICWS 2008), 2008

Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Dirichlet Process Based Evolutionary Clustering.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Multi-Space-Mapped SVMs for Multi-class Classification.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Time Sensitive Ranking with Application to Publication Search.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Graph OLAP: Towards Online Analytical Processing on Graphs.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

A Sampling-Based Approach to Information Recovery.
Proceedings of the 24th International Conference on Data Engineering, 2008

Rights Protection of Trajectory Datasets.
Proceedings of the 24th International Conference on Data Engineering, 2008

Online Failure Forecast for Fault-Tolerant Data Stream Processing.
Proceedings of the 24th International Conference on Data Engineering, 2008

MobiQual: QoS-aware Load Shedding in Mobile CQ Systems.
Proceedings of the 24th International Conference on Data Engineering, 2008

Efficient Construction of Compact Shedding Filters for Data Stream Processing.
Proceedings of the 24th International Conference on Data Engineering, 2008

Direct Discriminative Pattern Mining for Effective Classification.
Proceedings of the 24th International Conference on Data Engineering, 2008

Fast Graph Pattern Matching.
Proceedings of the 24th International Conference on Data Engineering, 2008

Stop Chasing Trends: Discovering High Order Models in Evolving Data.
Proceedings of the 24th International Conference on Data Engineering, 2008

On High Dimensional Indexing of Uncertain Data.
Proceedings of the 24th International Conference on Data Engineering, 2008

LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams.
Proceedings of the 24th International Conference on Data Engineering, 2008

A Framework for Clustering Uncertain Data Streams.
Proceedings of the 24th International Conference on Data Engineering, 2008

Toward Predictive Failure Management for Distributed Stream Processing Systems.
Proceedings of the 28th IEEE International Conference on Distributed Computing Systems (ICDCS 2008), 2008

Scalable Processing of Spatial Alarms.
Proceedings of the High Performance Computing, 2008

Ownership protection of shape datasets with geodesic distance preservation.
Proceedings of the EDBT 2008, 2008

Fast computing reachability labelings for large graphs with high compression rate.
Proceedings of the EDBT 2008, 2008

Dual encryption for query integrity assurance.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Real-time new event detection for video streams.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Content-based filtering for efficient online materialized view maintenance.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Clustering on Complex Graphs.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Mining Frequent Approximate Sequential Patterns.
Proceedings of the Next Generation of Data Mining., 2008

Searching for "Familiar Strangers" on Blogosphere.
Proceedings of the Next Generation of Data Mining., 2008

2007
A Survey of Synopsis Construction in Data Streams.
Proceedings of the Data Streams - Models and Algorithms, 2007

On Clustering Massive Data Streams: A Summarization Paradigm.
Proceedings of the Data Streams - Models and Algorithms, 2007

ASAP: An Adaptive Sampling Approach to Data Collection in Sensor Networks.
IEEE Trans. Parallel Distributed Syst., 2007

Fragmental Proxy Caching for Streaming Multimedia Objects.
IEEE Trans. Multim., 2007

Approximate Query Processing in Cube Streams.
IEEE Trans. Knowl. Data Eng., 2007

GrubJoin: An Adaptive, Multi-Way, Windowed Stream Join with Time Correlation-Aware CPU Load Shedding.
IEEE Trans. Knowl. Data Eng., 2007

Anonymizing Classification Data for Privacy Preservation.
IEEE Trans. Knowl. Data Eng., 2007

DDDM2007: Domain Driven Data Mining.
SIGKDD Explor., 2007

Handicapping attacker's confidence: an alternative to <i>k</i> -anonymization.
Knowl. Inf. Syst., 2007

CPU load shedding for binary stream joins.
Knowl. Inf. Syst., 2007

Hiding Sensitive Frequent Itemsets by a Border-Based Approach.
J. Comput. Sci. Eng., 2007

Domain-Driven, Actionable Knowledge Discovery.
IEEE Intell. Syst., 2007

CrossClus: user-guided multi-relational clustering.
Data Min. Knowl. Discov., 2007

A new method to measure the semantic similarity of GO terms.
Bioinform., 2007

A Distributed Infrastructure Supporting Personalized Services for the Mobile Web.
Proceedings of the Third IEEE International Conference on Wireless and Mobile Computing, 2007

Graph Indexing: Tree + Delta >= Graph.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Time Series Compressibility and Privacy.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Executing Stream Joins on the Cell Processor.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

CellSort: High Performance Sorting on the Cell Processor.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Towards Graph Containment Search and Indexing.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Resource-adaptive real-time new event detection.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

BLINKS: ranked keyword searches on graphs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

A System for Keyword Search on Textual Streams.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

On Anonymization of String Data.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

On Privacy-Preservation of Text and Sparse Binary Data with Sketches.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Visual Exploration of Genomic Data.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

gPrune: A Constraint Pushing Framework for Graph Pattern Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

GraphScope: parameter-free mining of large time-evolving graphs.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

A probabilistic framework for relational clustering.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Time-dependent event hierarchy construction.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

On string classification in data streams.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

A graph-based approach to systematically reconstruct human transcriptional regulatory modules.
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

BridgeNet: An Adaptive Multi-Source Stream Dissemination Overlay Network.
Proceedings of the INFOCOM 2007. 26th IEEE International Conference on Computer Communications, 2007

Relational clustering by symmetric convex coding.
Proceedings of the Machine Learning, 2007

Toward Self-Managed Media Stream Processing Service Overlays.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

Efficient Discovery of Frequent Approximate Sequential Patterns.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Community Learning by Graph Approximation.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Mining Colossal Frequent Patterns by Core Pattern Fusion.
Proceedings of the 23rd International Conference on Data Engineering, 2007

Object Distinction: Distinguishing Objects with Identical Names.
Proceedings of the 23rd International Conference on Data Engineering, 2007

SAO: A Stream Index for Answering Linear Optimization Queries.
Proceedings of the 23rd International Conference on Data Engineering, 2007

GString: A Novel Approach for Efficient Search in Graph Databases.
Proceedings of the 23rd International Conference on Data Engineering, 2007

Adaptive Load Diffusion for Multiway Windowed Stream Joins.
Proceedings of the 23rd International Conference on Data Engineering, 2007

A Load Shedding Framework and Optimizations for M-way Windowed Stream Joins.
Proceedings of the 23rd International Conference on Data Engineering, 2007

Lira: Lightweight, Region-aware Load Shedding in Mobile CQ Systems.
Proceedings of the 23rd International Conference on Data Engineering, 2007

On Temperature-Aware Scheduling for Single-Processor Systems.
Proceedings of the High Performance Computing, 2007

An Efficient Online Tool to Search Top-N Genes with Similar Biological Functions in Gene Ontology Database.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2007

TS-Trees: A Non-Alterable Search Tree Index for Trustworthy Databases on Write-Once-Read-Many (WORM) Storage.
Proceedings of the 21st International Conference on Advanced Information Networking and Applications (AINA 2007), 2007

Graph Partitioning Based on Link Distributions.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Feature-based similarity search in graph structures.
ACM Trans. Database Syst., 2006

Efficient Classification across Multiple Database Relations: A CrossMine Approach.
IEEE Trans. Knowl. Data Eng., 2006

Incremental Processing of Continual Range Queries over Moving Objects.
IEEE Trans. Knowl. Data Eng., 2006

Discovering Frequent Closed Partial Orders from Strings.
IEEE Trans. Knowl. Data Eng., 2006

Processing Moving Queries over Moving Objects Using Motion-Adaptive Indexes.
IEEE Trans. Knowl. Data Eng., 2006

Text Classification without Negative Examples Revisit.
IEEE Trans. Knowl. Data Eng., 2006

A Framework for On-Demand Classification of Evolving Data Streams.
IEEE Trans. Knowl. Data Eng., 2006

A Holistic Approach for Resource-aware Adaptive Data Stream Mining.
New Gener. Comput., 2006

Query indexing with containment-encoded intervals for efficient stream processing.
Knowl. Inf. Syst., 2006

Catch the moment: maintaining closed frequent itemsets over a data stream sliding window.
Knowl. Inf. Syst., 2006

Detection and Classification of Changes in Evolving Data Streams.
Int. J. Inf. Technol. Decis. Mak., 2006

Structural Periodic Measures for Time-Series Data.
Data Min. Knowl. Discov., 2006

On-Demand Index for Efficient Structural Joins.
Proceedings of the Advances in Web-Age Information Management, 2006

LinkClus: Efficient Clustering via Heterogeneous Semantic Links.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

On Range Query Indexing for Efficient Stream Processing.
Proceedings of the IEEE International Conference on Sensor Networks, 2006

Optimal multi-scale patterns in time series streams.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006

A Framework for Clustering Massive Text and Categorical Data Streams.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

A framework for resource-aware knowledge discovery in data streams: a holistic approach with its application to clustering.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

RIVA: Indexing and Visualization of High-Dimensional Data Via Dimension Reorderings.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Discovering Overlapping Communities of Named Entities.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

ViCo: an adaptive distributed video correlation system.
Proceedings of the 14th ACM International Conference on Multimedia, 2006

Suppressing model overfitting in mining concept-drifting data streams.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Unsupervised learning on k-partite graphs.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

GPLAG: detection of software plagiarism by program dependence graph analysis.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

A general framework for accurate and fast regression by data summarization in random decision trees.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Global distance-based segmentation of trajectories.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Spectral clustering for multi-type relational data.
Proceedings of the Machine Learning, 2006

LOCI: Load Shedding through Class-Preserving Data Acquisition.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Finding "Who Is Talking to Whom" in VoIP Networks via Progressive Stream Clustering.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Window-based Tensor Analysis on High-dimensional and Multi-aspect Streams.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Discovering Partial Orders in Binary Data.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Local Correlation Tracking in Time Series.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

AC-Close: Efficiently Mining Approximate Closed Itemsets by Core Pattern Recovery.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Searching Substructures with Superimposed Distance.
Proceedings of the 22nd International Conference on Data Engineering, 2006

Dual Labeling: Answering Graph Reachability Queries in Constant Time.
Proceedings of the 22nd International Conference on Data Engineering, 2006

Mining, Indexing, and Similarity Search in Graphs and Complex Structures.
Proceedings of the 22nd International Conference on Data Engineering, 2006

Slide: Streaming and Load-Adaptive Periodicity Estimation.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Resource Adaptive Periodicity Estimation of Streaming Data.
Proceedings of the Advances in Database Technology, 2006

Multi-query SQL Progress Indicators.
Proceedings of the Advances in Database Technology, 2006

Fast Computation of Reachability Labeling for Large Graphs.
Proceedings of the Advances in Database Technology, 2006

Continuous keyword search on multiple text streams.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

Mining Community Structure of Named Entities from Web Pages and Blogs.
Proceedings of the Computational Approaches to Analyzing Weblogs, 2006

Classification Spanning Private Databases.
Proceedings of the Proceedings, 2006

2005
An effective and efficient algorithm for high-dimensional outlier detection.
VLDB J., 2005

Graph indexing based on discriminative frequent structure analysis.
ACM Trans. Database Syst., 2005

WebKDD 2005: web mining and web usage analysis post-workshop report.
SIGKDD Explor., 2005

Demand-driven frequent itemset mining using pattern structures.
Knowl. Inf. Syst., 2005

Efficient Processing of Continual Range Queries for Location-Aware Mobile Services.
Inf. Syst. Frontiers, 2005

An Improved Biclustering Method for Analyzing Gene Expression Profiles.
Int. J. Artif. Intell. Tools, 2005

On High Dimensional Projected Clustering of Data Streams.
Data Min. Knowl. Discov., 2005

Efficient structural joins with on-the-fly indexing.
Proceedings of the 14th international conference on World Wide Web, 2005

Adding the Temporal Dimension to Search - A Case Study in Publication Search.
Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 2005

Parameter Free Bursty Events Detection in Text Streams.
Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

Loadstar: Load Shedding in Data Stream Mining.
Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

Substructure Similarity Search in Graph Databases.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

Building Decision Trees on Records Linked through Key References.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Near-Neighbor Search in Pattern Distance Spaces.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

On Periodicity Detection and Structural Periodic Similarity.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Iterative Mining for Rules with Constrained Antecedents.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Pushing Feature Selection Ahead Of Join.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Mining Behavior Graphs for "Backtrace" of Noncrashing Bugs.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Loadstar: A Load Shedding Scheme for Classifying Data Streams.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

On Variable Constraints in Privacy Preserving Data Mining.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Online Analysis of Community Evolution in Data Streams.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

A Two-Level Distributed Architecture for Efficient Web Content Adaptation and Delivery.
Proceedings of the 2005 IEEE/IPSJ International Symposium on Applications and the Internet (SAINT 2005), 31 January, 2005

Fast Burst Correlation of Financial Data.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

A Multi-metric Index for Euclidean and Periodic Matching.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

On Incremental Processing of Continual Range Queries for Location-Aware Services and Applications.
Proceedings of the 2nd Annual International Conference on Mobile and Ubiquitous Systems (MobiQuitous 2005), 2005

Supporting multi-party voice-over-IP services with peer-to-peer stream processing.
Proceedings of the 13th ACM International Conference on Multimedia, 2005

Adaptive Load Diffusion for Stream Joins.
Proceedings of the Middleware 2005, ACM/IFIP/USENIX, 6th International Middleware Conference, Grenoble, France, November 28, 2005

Cross-relational clustering with user's guidance.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Pattern-based similarity search for microarray data.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Co-clustering by block value decomposition.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

On Clustering Techniques for Change Diagnosis in Data Streams.
Proceedings of the Advances in Web Mining and Web Usage Analysis, 2005

Mining Evolving Streams with Resource Adaptive Computation.
Proceedings of the Seventh IEEE International Symposium on Multimedia (ISM 2005), 2005

CSR: Speaker Recognition from Compressed VoIP Packet Stream.
Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

Template-Based Privacy Preservation in Classification Problems.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

A Border-Based Approach for Hiding Sensitive Frequent Itemsets.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Efficiently Mining Frequent Closed Partial Orders.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Combining Multiple Clusterings by Soft Correspondence.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Focused Community Discovery.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Effective Estimation of Posterior Probabilities: Explaining the Accuracy of Randomized Decision Tree Approaches.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

An Improved Categorization of Classifier's Sensitivity on Sample Selection Bias.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Online Mining of Data Streams: Applications, Techniques and Progress.
Proceedings of the 21st International Conference on Data Engineering, 2005

Text Classification without Labeled Negative Documents.
Proceedings of the 21st International Conference on Data Engineering, 2005

Top-Down Specialization for Information and Privacy Preservation.
Proceedings of the 21st International Conference on Data Engineering, 2005

Optimal Component Composition for Scalable Stream Processing.
Proceedings of the 25th International Conference on Distributed Computing Systems (ICDCS 2005), 2005

Data Stream Mining and Resource Adaptive Computation.
Proceedings of the Database Systems for Advanced Applications, 2005

Rotation invariant indexing of shapes and line drawings.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

Integrating DCT and DWT for approximating cube streams.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

Compact reachability labeling for graph-structured data.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

Adaptive load shedding for windowed stream joins.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

Mining Data Streams.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004
Segmentation of multimedia streams for proxy caching.
IEEE Trans. Multim., 2004

EIC Editorial.
IEEE Trans. Knowl. Data Eng., 2004

Editorial: State of the Transactions.
IEEE Trans. Knowl. Data Eng., 2004

On Using Partial Supervision for Text Categorization.
IEEE Trans. Knowl. Data Eng., 2004

Discovering High-Order Periodic Patterns.
Knowl. Inf. Syst., 2004

WAR: Weighted Association Rules for Item Intensities.
Knowl. Inf. Syst., 2004

Utility computing SLA management based upon business objectives.
IBM Syst. J., 2004

Mining Surprising Periodic Patterns.
Data Min. Knowl. Discov., 2004

On the temporal dimension of search.
Proceedings of the 13th international conference on World Wide Web, 2004

Shingle-Based Query Indexing for Location-Based Mobile E-Commerce.
Proceedings of the 2004 IEEE International Conference on E-Commerce Technology (CEC 2004), 2004

A Framework for Projected Clustering of High Dimensional Data Streams.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004

BASS: Approximate Search on Large String Databases.
Proceedings of the 16th International Conference on Scientific and Statistical Database Management (SSDBM 2004), 2004

A Fast Algorithm for Subspace Clustering by Pattern Similarity.
Proceedings of the 16th International Conference on Scientific and Statistical Database Management (SSDBM 2004), 2004

Graph Indexing: A Frequent Structure-based Approach.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

Resource-Aware Mining with Variable Granularities in Data Streams.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Active Mining of Data Streams.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

VCR indexing for fast event matching for highly-overlapping range predicates.
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

Mining of Evolving Data Streams with Privacy Preservation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Processing Continual Range Queries over Moving Objects Using VCR-Based Query Indexes.
Proceedings of the 1st Annual International Conference on Mobile and Ubiquitous Systems (MobiQuitous 2004), 2004

Analysis of Peer-to-Peer Systems: Workload Characterization and Effects on Traffic Cacheability.
Proceedings of the 12th International Workshop on Modeling, 2004

On demand classification of data streams.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Bottom-Up Generalization: A Data Mining Solution to Privacy Protection.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Decision Tree Evolution Using Limited Number of Labeled Data Items from Drifting Data Streams.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Moment: Maintaining Closed Frequent Itemsets over a Stream Sliding Window.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Indexing Continual Range Queries with Covering Tiles for Fast Locating of Moving Objects.
Proceedings of the 24th International Conference on Distributed Computing Systems Workshops (ICDCS 2004 Workshops), 2004

Indexing Continual Range Queries for Location-Aware Mobile Services.
Proceedings of the 2004 IEEE International Conference on e-Technology, 2004

Mining Extremely Skewed Trading Anomalies.
Proceedings of the Advances in Database Technology, 2004

A Condensation Approach to Privacy Preserving Data Mining.
Proceedings of the Advances in Database Technology, 2004

CrossMine: Efficient Classification Across Multiple Database Relations.
Proceedings of the Constraint-Based Mining and Inductive Databases, 2004

Interval query indexing for efficient stream processing.
Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management, 2004

Motion adaptive indexing for moving continual queries over moving objects.
Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management, 2004

Monitoring Continual Range Queries.
Proceedings of the Advanced Web Technologies and Applications, 2004

Text Classification by Labeling Words.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
Request Redirection Algorithms for Distributed Web Systems.
IEEE Trans. Parallel Distributed Syst., 2003

Editorial: AE Introduction.
IEEE Trans. Knowl. Data Eng., 2003

Editorial: New AE Introduction.
IEEE Trans. Knowl. Data Eng., 2003

Mining Asynchronous Periodic Patterns in Time Series Data.
IEEE Trans. Knowl. Data Eng., 2003

Optimizing Index Allocation for Sequential Data Broadcasting in Wireless Mobile Computing.
IEEE Trans. Knowl. Data Eng., 2003

Data Mining: How Research Meets Practical Development?
Knowl. Inf. Syst., 2003

Replication for Load Balancing and Hot-Spot Relief on Proxy Web Caches with Hash Routing.
Distributed Parallel Databases, 2003

Guest Editorial: Text and Web Mining.
Appl. Intell., 2003

Scoring the Data Using Association Rules.
Appl. Intell., 2003

Cooperative TransCaching: A System of Distributed Proxy Servers for Web Content Adaptation.
Proceedings of the Twelfth International World Wide Web Conference - Posters, 2003

Cooperative Architectures and Algorithms for Discovery and Transcoding of Multi-Version Content.
Proceedings of the Web Content Caching and Distribution, 8th International Workshop, 2003

A Regression-Based Temporal Pattern Mining Scheme for Data Streams.
Proceedings of 29th International Conference on Very Large Data Bases, 2003

A Framework for Clustering Evolving Data Streams.
Proceedings of 29th International Conference on Very Large Data Bases, 2003

ViST: A Dynamic Index Method for Querying XML Data by Tree Structures.
Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, 2003

STAMP: On Discovery of Statistically Important Pattern Repeats in Long Sequential Data.
Proceedings of the Third SIAM International Conference on Data Mining, 2003

Applying data mining in investigating money laundering crimes.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Mining concept-drifting data streams using ensemble classifiers.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Managing eBusiness on Demand SLA Contracts in Business Terms Using the Cross-SLA Execution Manager SAM.
Proceedings of the 6th International Symposium on Autonomous Decentralized Systems (ISADS 2003), 2003

Inductive Learning in Less Than One Sequential Data Scan.
Proceedings of the IJCAI-03, 2003

Epi-SPIRE: a system for environmental and public health activity monitoring.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

MaPle: A Fast Algorithm for Maximal Pattern-based Clustering.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Building Text Classifiers Using Positive and Unlabeled Examples.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Is random model better? On its accuracy and efficiency.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Indexing Weighted-Sequences in Large Databases.
Proceedings of the 19th International Conference on Data Engineering, 2003

New Algorithms for Content-Based Publication-Subscription Systems.
Proceedings of the 23rd International Conference on Distributed Computing Systems (ICDCS 2003), 2003

Cross-Feature Analysis for Detecting Ad-Hoc Routing Anomalies.
Proceedings of the 23rd International Conference on Distributed Computing Systems (ICDCS 2003), 2003

Enhanced Biclustering on Expression Data.
Proceedings of the 3rd IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2003), 2003

2002
Introducing the New AEs.
IEEE Trans. Knowl. Data Eng., 2002

A Performance Study of Robust Load Sharing Strategies for Distributed Heterogeneous Web Server Systems.
IEEE Trans. Knowl. Data Eng., 2002

Redefining Clustering for High-Dimensional Applications.
IEEE Trans. Knowl. Data Eng., 2002

Fast Algorithms for Online Generation of Profile Association Rules.
IEEE Trans. Knowl. Data Eng., 2002

Finding Localized Associations in Market Basket Data.
IEEE Trans. Knowl. Data Eng., 2002

Adaptive Piggybacking Schemes for Video-On-Demand Systems.
Multim. Tools Appl., 2002

The state of the art in locally distributed Web-server systems.
ACM Comput. Surv., 2002

Controlled replication for hash routing-based web caching.
Comput. Syst. Sci. Eng., 2002

Optimal crawling strategies for web search engines.
Proceedings of the Eleventh International World Wide Web Conference, 2002

Dynamic Refinement of Table Summarization or M-Commerce.
Proceedings of the Fourth IEEE International Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems (WECWIS'02), 2002

An Automated System for Web Portal Personalization.
Proceedings of 28th International Conference on Very Large Data Bases, 2002

Mining long sequential patterns in a noisy environment.
Proceedings of the 2002 ACM SIGMOD International Conference on Management of Data, 2002

Clustering by pattern similarity in large data sets.
Proceedings of the 2002 ACM SIGMOD International Conference on Management of Data, 2002

Efficient Filtering of Large DatasetA User-Centric Paradigm.
Proceedings of the Second SIAM International Conference on Data Mining, 2002

Mining Relationship between Triggering and Consequential Events in a Short Transaction Database.
Proceedings of the Second SIAM International Conference on Data Mining, 2002

A Framework for Scalable Cost-sensitive Learning Based on Combing Probabilities and Benefits.
Proceedings of the Second SIAM International Conference on Data Mining, 2002

Distributed data mining in a chain store database of short transactions.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Partially Supervised Classification of Text Documents.
Proceedings of the Machine Learning, 2002

InfoMiner+: Mining Partial Periodic Patterns with Gap Penalties.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Mining Associations by Pattern Structure in Large Relational Tables.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Progressive Modeling.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

delta-Clusters: Capturing Subspace Correlation in a Large Data Set.
Proceedings of the 18th International Conference on Data Engineering, San Jose, CA, USA, February 26, 2002

Clustering Algorithms for Content-Based Publication-Subscription Systems.
Proceedings of the 22nd International Conference on Distributed Computing Systems (ICDCS'02), 2002

A Fully Distributed Framework for Cost-Sensitive Data Mining.
Proceedings of the 22nd International Conference on Distributed Computing Systems (ICDCS'02), 2002

Accelerating Approximate Subsequence Search on Large Protein Sequence Databases.
Proceedings of the 1st IEEE Computer Society Bioinformatics Conference, 2002

An Index Structure for Pattern Similarity Searching in DNA Microarray Dat.
Proceedings of the 1st IEEE Computer Society Bioinformatics Conference, 2002

Efficient query monitoring using adaptive multiple key hashing.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

Pruning and Dynamic Scheduling of Cost-Sensitive Ensembles.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001
On balancing the load in a clustered web farm.
ACM Trans. Internet Techn., 2001

On the design of a learning crawler for topical resource discovery.
ACM Trans. Inf. Syst., 2001

Editorial: Introducing the New AEs.
IEEE Trans. Knowl. Data Eng., 2001

Editorial.
IEEE Trans. Knowl. Data Eng., 2001

Scheduling Algorithms for the Broadcast Delivery of Digital Products.
IEEE Trans. Knowl. Data Eng., 2001

Mining Associations with the Collective Strength Approach.
IEEE Trans. Knowl. Data Eng., 2001

A New Approach to Online Generation of Association Rules.
IEEE Trans. Knowl. Data Eng., 2001

The Maximum Factor Queue Length Batching Scheme for Video-on-Demand Systems.
IEEE Trans. Computers, 2001

Load balancing for clustered web farms.
SIGMETRICS Perform. Evaluation Rev., 2001

Thrashing control and avoidance for concurrent mergesorts using parallel prefetching.
Comput. Syst. Sci. Eng., 2001

Segment-based proxy caching of multimedia streams.
Proceedings of the Tenth International World Wide Web Conference, 2001

Intelligent crawling on the World Wide Web with arbitrary predicates.
Proceedings of the Tenth International World Wide Web Conference, 2001

Personalization with Dynamic Profiler.
Proceedings of the Third International Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems (WECWIS '01), 2001

Outlier Detection for High Dimensional Data.
Proceedings of the 2001 ACM SIGMOD international conference on Management of data, 2001

Infominer: mining surprising periodic patterns.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Discovering unexpected information from your competitors' web sites.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Meta-patterns: Revealing Hidden Periodic Patterns.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

SSDT: A Scalable Subspace-Splitting Classifier for Biased Data.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

On Effective Conceptual Indexing and Similarity Search in Text Data.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Effective Nearest Neighbor Indexing with the Euclidean Metric.
Proceedings of the 2001 ACM CIKM International Conference on Information and Knowledge Management, 2001

2000
Report on Second International Workshop on Advanced Issues of E-Commerce and Web-based Information Systems.
SIGMOD Rec., 2000

Mining Patterns in Long Sequential Data with Noise.
SIGKDD Explor., 2000

Workfile Disk Management for Concurrent Mergesorts in a Multiprocessor Database System.
Distributed Parallel Databases, 2000

Data Mining Techniques for Personalization.
IEEE Data Eng. Bull., 2000

Latency-sensitive hashing for collaborative Web caching.
Comput. Networks, 2000

Finding Generalized Projected Clusters In High Dimensional Spaces.
Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 2000

Geographic Load Balancing for Scalable Distributed Web Systems.
Proceedings of the MASCOTS 2000, Proceedings of the 8th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, 29 August, 2000

Efficient mining of weighted association rules (WAR).
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Targeting the right students using data mining.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

The IGrid index: reversing the dimensionality curse for similarity indexing in high dimensional space.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Lightweight Version Vectors for Pervasive Computing Devices.
Proceedings of the 2000 International Workshop on Parallel Processing, 2000

The Intelligent Recommendation Analyzer.
Proceedings of the 2000 ICDCS Workshops, April 10, 2000, Taipei, Taiwan, ROC, 2000

TabSum: A Flexible and Dynamic Table Summarization Approach.
Proceedings of the 20th International Conference on Distributed Computing Systems, 2000

Collaborative Proxy System for Distributed Web Content Transcoding.
Proceedings of the 2000 ACM CIKM International Conference on Information and Knowledge Management, 2000

Clustering Through Decision Tree Construction.
Proceedings of the 2000 ACM CIKM International Conference on Information and Knowledge Management, 2000

1999
DNS Dispatching Algorithms with State Estimators for Scalable Web-Server Clusters.
World Wide Web, 1999

Caching on the World Wide Web.
IEEE Trans. Knowl. Data Eng., 1999

Design and Analysis of Permutation-Based Pyramid Broadcasting.
Multim. Syst., 1999

Run Placement Policies for Concurrent Mergesorts Using Parallel Prefetching.
Knowl. Inf. Syst., 1999

Scan: A Hierarchical Algorithm for Similarity Search in Databases Consisting of Long Sequences.
Knowl. Inf. Syst., 1999

Using Unbalanced Trees for Indexing Multidimensional Objects.
Knowl. Inf. Syst., 1999

Dynamic Load Balancing on Web-Server Systems.
IEEE Internet Comput., 1999

Review - Mining Association Rules between Sets of Items in Large Databases.
ACM SIGMOD Digit. Rev., 1999

A New Method for Similarity Indexing of Market Basket Data.
Proceedings of the SIGMOD 1999, 1999

Fast Algorithms for Projected Clustering.
Proceedings of the SIGMOD 1999, 1999

On Text Mining Techniques for Personalization.
Proceedings of the New Directions in Rough Sets, 1999

Replication Issues on Proxy Cache Array.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1999

Data Mining Techniques for Associations, Clustering and Classification.
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

Optimizing Profits in the Broadcast Delivery of Multimedia Products.
Proceedings of the MIS '99, 1999

Adaptive Query Processing for Time-Series Data.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Horting Hatches an Egg: A New Graph-Theoretic Approach to Collaborative Filtering.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

On the Merits of Building Categorization Systems by Supervised Clustering.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Load Balancing and Hot Spot Relief for Hash Routing among a Collection of Proxy Caches.
Proceedings of the 19th International Conference on Distributed Computing Systems, Austin, TX, USA, May 31, 1999

Redirection Algorithms for Load Sharing in Distributed Web-server Systems.
Proceedings of the 19th International Conference on Distributed Computing Systems, Austin, TX, USA, May 31, 1999

Data Mining and Personalization Technologies.
Proceedings of the Database Systems for Advanced Applications, 1999

Local Replication for Proxy Web Caches with Hash Routing.
Proceedings of the 1999 ACM CIKM International Conference on Information and Knowledge Management, 1999

1998
Analysis of Task Assignment Policies in Scalable Distributed Web-Server Systems.
IEEE Trans. Parallel Distributed Syst., 1998

Efficient Data Mining for Path Traversal Patterns.
IEEE Trans. Knowl. Data Eng., 1998

Reminiscences on Influential Papers.
SIGMOD Rec., 1998

Smart SMART Bounds for Weighted Response Time Scheduling.
SIAM J. Comput., 1998

On Analytic Modeling of Multimedia Batching Schemes.
Perform. Evaluation, 1998

Increasing Multimedia System Throughput with Consumption-based Buffer Management.
Multim. Syst., 1998

Exploring Wait Tolerance in Effective Batching for Video-on-Demand Scheduling.
Multim. Syst., 1998

Optimization issues in multimedia systems.
Int. J. Intell. Syst., 1998

SpeedTracer: A Web Usage Mining and Analysis Tool.
IBM Syst. J., 1998

Energy-Efficient Mobile Cache Invalidation.
Distributed Parallel Databases, 1998

Mining Large Itemsets for Association Rules.
IEEE Data Eng. Bull., 1998

Performance Study of a Collaborative Method for Hierarchical Caching in Proxy Servers.
Comput. Networks, 1998

A New Framework For Itemset Generation.
Proceedings of the Seventeenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 1998

Online Generation of Profile Association Rules.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

A Framework for the Optimizing of WWW Advertising.
Proceedings of the Trends in Distributed Systems for Electronic Commerce, 1998

Online Generation of Association Rules.
Proceedings of the Fourteenth International Conference on Data Engineering, 1998

A Bandwidth-Sensitive Update Scheduling Method for Internet Push.
Proceedings of the 18th International Conference on Distributed Computing Systems, 1998

Dynamic Load Balancing in Geographically Distributed Heterogeneous Web Servers.
Proceedings of the 18th International Conference on Distributed Computing Systems, 1998

Range-Based Bitmap Indexing for High Cardinality Attributes with Skew.
Proceedings of the COMPSAC '98, 1998

Efficient State Estimators for Load Control Policies in Scalable Web Server Clusters.
Proceedings of the COMPSAC '98, 1998

MALM: A Framework for Mining Sequence Database at Multiple Abstraction Levels.
Proceedings of the 1998 ACM CIKM International Conference on Information and Knowledge Management, 1998

Online Algorithms for Finding Profile Association Rules.
Proceedings of the 1998 ACM CIKM International Conference on Information and Knowledge Management, 1998

1997
On Applying Hash Filters to Improving the Execution of Multi-Join Queries.
VLDB J., 1997

Parallel Execution of Hash Joins in Parallel Databases.
IEEE Trans. Parallel Distributed Syst., 1997

Recovery Analysis of Data Sharing Systems under Deferred Dirty Page Propagation Policies.
IEEE Trans. Parallel Distributed Syst., 1997

Divergence Control Algorithms for Epsilon Serializability.
IEEE Trans. Knowl. Data Eng., 1997

Using a Hash-Based Method with Transaction Trimming for Mining Association Rules.
IEEE Trans. Knowl. Data Eng., 1997

Optimal Design of Multiple Hash Tables for Concurrency Control.
IEEE Trans. Knowl. Data Eng., 1997

Adaptive TTL Schemes for Load Balancing of Distributed Web Servers.
SIGMETRICS Perform. Evaluation Rev., 1997

Disk Load Balancing for Video-On-Demand Systems.
Multim. Syst., 1997

Using Rotational Mirrored Declustering for Replica Placement in a Disk-Array-Based Video Server.
Multim. Syst., 1997

Cluster Architectures and S/390 Parallel Sysplex Scalability.
IBM Syst. J., 1997

The S-Tree: An Efficient Index for Multidimensional Objects.
Proceedings of the Advances in Spatial Databases, 1997

Scheduling Algorithms for Distributed Web Servers.
Proceedings of the 17th International Conference on Distributed Computing Systems, 1997

Indexed Sequential Data Broadcasting in Wireless Mobile Computing.
Proceedings of the 17th International Conference on Distributed Computing Systems, 1997

Mining Association Rules with Adjustable Accuracy.
Proceedings of the Sixth International Conference on Information and Knowledge Management (CIKM'97), 1997

On Disk Caching of Web Objects in Proxy Servers.
Proceedings of the Sixth International Conference on Information and Knowledge Management (CIKM'97), 1997

1996
Efficient LRU-Based Buffering in a LAN Remote Caching Architecture.
IEEE Trans. Parallel Distributed Syst., 1996

On General Results for All-to-All Broadcast.
IEEE Trans. Parallel Distributed Syst., 1996

Performance Analysis of Dynamic Finite Versioning Schemes: Storage Cost vs. Obsolescence.
IEEE Trans. Knowl. Data Eng., 1996

On Coupling Multiple Systems With A Global Buffer.
IEEE Trans. Knowl. Data Eng., 1996

Optimization of Parallel Execution for Multi-Join Queries.
IEEE Trans. Knowl. Data Eng., 1996

Data Mining: An Overview from a Database Perspective.
IEEE Trans. Knowl. Data Eng., 1996

Analytic Modeling of Clustered RAID with Mapping Based on Nearly Random Permutation.
IEEE Trans. Computers, 1996

Using Content-Based Search to Download Digital Video into a Client Station.
Real Time Imaging, 1996

On Optimal Piggyback Merging Policies for Video-on-Demand Systems.
Proceedings of the 1996 ACM SIGMETRICS international conference on Measurement and modeling of computer systems, 1996

Consumption-Based Buffer Management for Maximizing System Throughput of a Multimedia System.
Proceedings of the IEEE International Conference on Multimedia Computing and Systems, 1996

On Optimal Batching Policies for Video-on-Demand Storage Servers.
Proceedings of the IEEE International Conference on Multimedia Computing and Systems, 1996

A Permutation-Based Pyramid Broadcasting Scheme for Video-on-Demand Systems.
Proceedings of the IEEE International Conference on Multimedia Computing and Systems, 1996

Energy-Efficient Caching for Wireless Mobile Computing.
Proceedings of the Twelfth International Conference on Data Engineering, February 26, 1996

HierarchyScan: A Hierarchical Similarity Search Algorithm for Databases of Long Sequences.
Proceedings of the Twelfth International Conference on Data Engineering, February 26, 1996

Efficient Data Mining for Path Traversal Patterns in Distributed Systems.
Proceedings of the 16th International Conference on Distributed Computing Systems, 1996

Modeling and Analysis of Concurrency Control Schemes.
Proceedings of the Performance of Concurrency Control Mechanisms in Centralized Database Systems., 1996

1995
Characterization of Database Access Pattern for Analytic Prediction of Buffer Hit Probability
VLDB J., 1995

A Hierarchical Approach to Parallel Multiquery Scheduling.
IEEE Trans. Parallel Distributed Syst., 1995

Applying Segmented Right-Deep Trees to Pipelining Multiple Hash Joins.
IEEE Trans. Knowl. Data Eng., 1995

Analytic Modeling and Comparisons of Striping Strategies for Replicated Disk Arrays.
IEEE Trans. Computers, 1995

Design and Analysis of a Look-Ahead Scheduling Scheme to Support Pause-Resume for Video-on-Demand Applications.
Multim. Syst., 1995

Storage and Retrieval Methods to Support Fully Interactive Playout in a Disk-Array-Based Video Server.
Multim. Syst., 1995

Divergence Control for Distributed Database Systems.
Distributed Parallel Databases, 1995

A Performance Study of Workfile Disk Management for Concurrent Mergesorts in a Multiprocessor Database System.
Proceedings of the VLDB'95, 1995

An Effective Hash Based Algorithm for Mining Association Rules.
Proceedings of the 1995 ACM SIGMOD International Conference on Management of Data, 1995

DASD Dancing: A Disk Load Balancing Optimization Scheme for Video-on-Demand Computer.
Proceedings of the 1995 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems, 1995

Performance Modeling For Designing Client/Server Systems.
Proceedings of the 21st International Computer Measurement Group Conference, 1995

Efficient Parallel and Data Mining for Association Rules.
Proceedings of the CIKM '95, Proceedings of the 1995 International Conference on Information and Knowledge Management, November 28, 1995

1994
Performance Evaluation of Transaction Processing Coupling Architectures for Handling System Dynamics.
IEEE Trans. Parallel Distributed Syst., 1994

A Performance Study of Robust Distributed Load Sharing Strategies.
IEEE Trans. Parallel Distributed Syst., 1994

Optimal NODUP All-to-All Broadcast Schemes in Distributed Computing Systems.
IEEE Trans. Parallel Distributed Syst., 1994

Performance Analysis of Affinity Clustering on Transaction Processing Coupling Architecture.
IEEE Trans. Knowl. Data Eng., 1994

New Algorithms for Parallelizing Relational Database Joins in the Presence of Data Skew.
IEEE Trans. Knowl. Data Eng., 1994

Buffer Analysis for a Data Sharing Environment with Skewed Data Access.
IEEE Trans. Knowl. Data Eng., 1994

A Graph Theoretical Approach to Determine a Join Reducer Sequence in Distributed Query Processing.
IEEE Trans. Knowl. Data Eng., 1994

Performance Modelling and Comparisons of Global Shared Buffer Management Policies in a Cluster Environment.
IEEE Trans. Computers, 1994

On real-time databases: concurrency control and scheduling.
Proc. IEEE, 1994

An Analytical Model of Reconstruction Time in Mirrored Disks.
Perform. Evaluation, 1994

On Index Selection Schemes for Nested Object Hierarchies.
Proceedings of the VLDB'94, 1994

Combining replication and parity approaches for fault-tolerant disk arrays.
Proceedings of the Sixth IEEE Symposium on Parallel and Distributed Processing, 1994

Scheduling Parallelizable Tasks to Minimize Average Response Time.
Proceedings of the 6th Annual ACM Symposium on Parallel Algorithms and Architectures, 1994

Scheduling Parallel Tasks to Minimize Average Response Time.
Proceedings of the Fifth Annual ACM-SIAM Symposium on Discrete Algorithms. 23-25 January 1994, 1994

On Parallel Execution of Multiple Pipelined Hash Joins.
Proceedings of the 1994 ACM SIGMOD International Conference on Management of Data, 1994

Scheduling Multiple Queries on a Parallel Machine.
Proceedings of the 1994 ACM SIGMETRICS conference on Measurement and modeling of computer systems, 1994

Asymtotic Performance of a Buffer Model in a Data Sharing Environment.
Proceedings of the 1994 ACM SIGMETRICS conference on Measurement and modeling of computer systems, 1994

Support for Fully Interactive Playout in Disk-Array-Based Video Server.
Proceedings of the Second ACM International Conference on Multimedia '94, 1994

Dynamic Parity Grouping for Improving Write Performance of RAID-5 Disk Arrays.
Proceedings of the 1994 International Conference on Parallel Processing, 1994

On Parallel Transaction Processing in a Coupled System.
Proceedings of the Proceedings 1994 International Conference on Parallel and Distributed Systems, 1994

Data Placement and Buffer Management for Concurrent Mergesorts with Parallel Prefetching.
Proceedings of the Tenth International Conference on Data Engineering, 1994

Multiversion Divergence Control of Time Fuzziness.
Proceedings of the Third International Conference on Information and Knowledge Management (CIKM'94), Gaithersburg, Maryland, USA, November 29, 1994

1993
Buffer Management Based on Return on Consumption in a Multi-Query Environment
VLDB J., 1993

Performance Analysis of Concurrency Control Using Locking with Deferred Blocking.
IEEE Trans. Software Eng., 1993

A Parallel Hash Join Algorithm for Managing Data Skew.
IEEE Trans. Parallel Distributed Syst., 1993

A Parallel Sort Merge Join Algorithm for Managing Data Skew.
IEEE Trans. Parallel Distributed Syst., 1993

Replication Algorithms in a Remote Caching Architecture.
IEEE Trans. Parallel Distributed Syst., 1993

Performance Analysis of Buffer Coherency Policies in a Multisystem Data Sharing Environment.
IEEE Trans. Parallel Distributed Syst., 1993

Combining Join and Semi-Join Operations for Distributed Query Processing.
IEEE Trans. Knowl. Data Eng., 1993

Grouped Sweeping Scheduling for DASD-based Multimedia Storage Management.
Multim. Syst., 1993

Parallel Query Processing.
Proceedings of the Advanced Database Systems, 1993

On the Analytical Modeling of Database Concurrency Control.
J. ACM, 1993

Performance comparison of dynamic policies for remote caching.
Concurr. Pract. Exp., 1993

Applying Hash Filters to Improving the Execution of Bushy Trees.
Proceedings of the 19th International Conference on Very Large Data Bases, 1993

On Optimal Processor Allocation to Support Pipelined Hash Joins.
Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, 1993

Modeling and Analysis of Transaction Processing Systems.
Proceedings of the Performance Evaluation of Computer and Communication Systems, 1993

Performance Comparison of Thrashing Control Policies for Concurrent Mergesorts with Parallel Prefetching.
Proceedings of the 1993 ACM SIGMETRICS conference on Measurement and modeling of computer systems, 1993

Issues in the Design of Multi-Server File Systems to Cope with Load Skew.
Proceedings of the 2nd International Conference on Parallel and Distributed Information Systems (PDIS 1993), 1993

Performance Analysis of a Dual Striping Strategy for Replicated Disk Arrays.
Proceedings of the 2nd International Conference on Parallel and Distributed Information Systems (PDIS 1993), 1993

Optimization of the Grouped Sweeping Scheduling (GSS) with Heterogeneous Multimedia Streams.
Proceedings of the First ACM International Conference on Multimedia '93, 1993

Dynamic Finite Versioning: An Effective Versioning Approach to Concurrent Transaction and Query Processing.
Proceedings of the Ninth International Conference on Data Engineering, 1993

Database Access Characterization for Buffer Hit Prediction.
Proceedings of the Ninth International Conference on Data Engineering, 1993

Distributed Divergence Control for Epsilon Serializability.
Proceedings of the 13th International Conference on Distributed Computing Systems, 1993

Decentralized Consensus Protocols with Multi-Port Communication.
Proceedings of the 13th International Conference on Distributed Computing Systems, 1993

1992
Analysis of Hybrid Concurrency Control Schemes For a High Data Contention Environment.
IEEE Trans. Software Eng., 1992

On Workload Characterization of Relational Database Environments.
IEEE Trans. Software Eng., 1992

Analysis of Concurrency-Coherency Control Protocols for Distributed Transaction Processing Systems with Regional Locality.
IEEE Trans. Software Eng., 1992

Interleaving a Join Sequence with Semijoins in Distributed Query Processing.
IEEE Trans. Parallel Distributed Syst., 1992

Using Segmented Right-Deep Trees for the Execution of Pipelined Hash Joins.
Proceedings of the 18th International Conference on Very Large Data Bases, 1992

Impact of Workload Partitionability on the Performance of Coupling Architectures for Transaction Processing.
Proceedings of the Fourth IEEE Symposium on Parallel and Distributed Processing, 1992

Approximate Algorithms Scheduling Parallelizable Tasks.
Proceedings of the 4th Annual ACM Symposium on Parallel Algorithms and Architectures, 1992

Performance Analysis of Coherency Control Policies through Lock Retention.
Proceedings of the 1992 ACM SIGMOD International Conference on Management of Data, 1992

Scheduling Parallelizable Tasks: Putting it All on the Shelf.
Proceedings of the 1992 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems, 1992

Performance Analysis of Dynamic Finite Versioning for Concurrency Transaction and Query Processing.
Proceedings of the 1992 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems, 1992

Characterization of Database Access Skew in a Transaction Processing Environment.
Proceedings of the 1992 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems, 1992

Mon-Song Chen, Dilip D. Kandlur: Design and Analysis of a Grouped Sweeping Scheme for Multimedia Storage Management.
Proceedings of the Network and Operating System Support for Digital Audio and Video, 1992

LRU-based replication strategies in a LAN remote caching architecture.
Proceedings of the 17th Conference on Local Computer Networks, 1992

Distributed Object Replication Strategies for a Remote Caching Architecture.
Proceedings of the 1992 International Conference on Parallel Processing, 1992

Effect of System Dynamics on Coupling Architectures for Transaction Processing.
Proceedings of the Eighth International Conference on Data Engineering, 1992

Divergence Control for Epsilon-Serializability.
Proceedings of the Eighth International Conference on Data Engineering, 1992

Scheduling and Processor Allocation for Parallel Execution of Multi-Join Queries.
Proceedings of the Eighth International Conference on Data Engineering, 1992

A Comparison of Regression-Based Load Sharing Strategies for Distributed Database Environments.
Proceedings of the 12th International Conference on Distributed Computing Systems, 1992

Efficient Decentralized Consensus Protocols in a Distributed Computing System.
Proceedings of the 12th International Conference on Distributed Computing Systems, 1992

Performance Comparison of Active-Sender and Active-Receiver Policies for Distributed Caching.
Proceedings of the First International Symposium on High Performance Distributed Computing, 1992

Design and Modeling of Clustered RAID.
Proceedings of the Digest of Papers: FTCS-22, 1992

1991
On Robust Transaction Routing and Load Sharing.
ACM Trans. Database Syst., 1991

Modeling and Analysis of a Time-Stamp History Based Certification Protocol for Concurrency Control.
IEEE Trans. Knowl. Data Eng., 1991

An Adaptive Strategy for Load Sharing in Distributed Database Environment with Information Lags.
J. Parallel Distributed Comput., 1991

Analytical Modeling of a Hierarchical Buffer for a Data Sharing Environment.
Proceedings of the 1991 ACM SIGMETRICS conference on Measurement and modeling of computer systems, 1991

Comparative Performance of Parallel Join Algorithms.
Proceedings of the First International Conference on Parallel and Distributed Information Systems (PDIS 1991), 1991

Policies for Efficient Resource Utilization in a Remote Caching Architecture.
Proceedings of the First International Conference on Parallel and Distributed Information Systems (PDIS 1991), 1991

Optimal All-to-All Broadcasting Schemes in Distributed Systems.
Proceedings of the First International Conference on Parallel and Distributed Information Systems (PDIS 1991), 1991

Dynamic Load Sharing in the Presence of Information Obsolescence in Distributed Database Environments.
Proceedings of the International Conference on Parallel Processing, 1991

Optimal Buffer Allocation in A Multi-Query Environment.
Proceedings of the Seventh International Conference on Data Engineering, 1991

An Effective Algorithm for Parallelizing Hash Joins in the Presence of Data Skew.
Proceedings of the Seventh International Conference on Data Engineering, 1991

Determining Beneficial Semijoins for a Join Sequence in Distributed Query Processing.
Proceedings of the Seventh International Conference on Data Engineering, 1991

Performance comparisons of buffer coherency policies.
Proceedings of the 10th International Conference on Distributed Computing Systems (ICDCS 1991), 1991

Performance analysis of optimistic concurrency control schemes with different rerun policies.
Proceedings of the Fifteenth Annual International Computer Software and Applications Conference, 1991

1990
An Effective Approach to Vertical Partitioning for Physical Design of Relational Databases.
IEEE Trans. Software Eng., 1990

A Hybrid Distributed Centralized System Structure for Transaction Processing.
IEEE Trans. Software Eng., 1990

Effectiveness of Parallel Joins.
IEEE Trans. Knowl. Data Eng., 1990

Analysis of Replication in Distributed Database Systems.
IEEE Trans. Knowl. Data Eng., 1990

Effectiveness of parallel processing in database systems.
Comput. Syst. Sci. Eng., 1990

Integrated approach to buffer management and query optimization.
Comput. Syst. Sci. Eng., 1990

The Effect of Skewed Data Access on Buffer Hits and Data Contention an a Data Sharing Environment.
Proceedings of the 16th International Conference on Very Large Data Bases, 1990

Concurrency Control Using Locking with Deferred Blocking.
Proceedings of the Sixth International Conference on Data Engineering, 1990

Database Buffer Model for the Data Sharing Environment.
Proceedings of the Sixth International Conference on Data Engineering, 1990

Using Combination of Join and Semijoin Operations for Distributed Query Processing.
Proceedings of the 10th International Conference on Distributed Computing Systems (ICDCS 1990), May 28, 1990

An Effective Algorithm for Parallelizing Sort Merge in the Presence of Data Skew.
Proceedings of the Second International Symposium on Databases in Parallel and Distributed Systems, 1990

Using Join Operations as Reducers in Distributed Query Processing.
Proceedings of the Second International Symposium on Databases in Parallel and Distributed Systems, 1990

1989
Multisystem Coupling by a Combination of Data Sharing and Data Partitioning.
IEEE Trans. Software Eng., 1989

Integrated Concurrency-Coherency Controls for Multisystem Data Sharing.
IEEE Trans. Software Eng., 1989

On Optimal Site Assignment for Relations in the Distributed Database Environment.
IEEE Trans. Software Eng., 1989

Performance Comparison of IO Shipping and Database Call Shipping: Schemes in Multisystem Partitioned Databases.
Perform. Evaluation, 1989

Robust Transaction-Routing Strategies in Distributed Database Systems.
IEEE Data Eng. Bull., 1989

Integration of Buffer Management and Query Optimization in Relational Database Environment.
Proceedings of the Fifteenth International Conference on Very Large Data Bases, 1989

Performance Comparision of Concurrency Control Protocols for Transaction Processing Systems with Regional Locality.
Proceedings of the Eigthth Symposium on Reliable Distributed Systems, 1989

Performance Analysis of Optimistic Concurrency Control Schemes for Systems with Large Memory.
Proceedings of the 1989 ACM SIGMETRICS international conference on Measurement and modeling of computer systems, 1989

Analysis of Parallel Processing Architectures for Database Systems.
Proceedings of the International Conference on Parallel Processing, 1989

Limiting Factors of Join Performance on Parallel Processors.
Proceedings of the Fifth International Conference on Data Engineering, 1989

Adaptive Transaction Routing in a Heterogeneous Database Environment.
Proceedings of the 9th International Conference on Distributed Computing Systems, 1989

Adaptive selection of access path and join method.
Proceedings of the 13th Annual International Computer Software and Applications Conference, 1989

1988
Dynamic Transaction Routing in Distributed Database Systems.
IEEE Trans. Software Eng., 1988

Optimal Design and Sequential Analysis of VLSI Testing Strategy.
IEEE Trans. Computers, 1988

Tradeoffs Between Coupling Small and Large Processors for Transaction Processing.
IEEE Trans. Computers, 1988

Performability comparison of configurable duplex systems.
Comput. Syst. Sci. Eng., 1988

A Hybrid Data Sharing - Data Partitioning Architecture for Transaction Processing.
Proceedings of the Fourth International Conference on Data Engineering, 1988

Site Assignment for Relations and Join Operations in the Distributed Transaction Processing Environment.
Proceedings of the Fourth International Conference on Data Engineering, 1988

Load Sharing in Hybrid Distributed - Centralized Database Systems.
Proceedings of the 8th International Conference on Distributed Computing Systems, 1988

Robust Transaction Routing in Distributed Database Systems.
Proceedings of the International Symposium on Databases in Parallel and Distributed Systems, 1988

Effect of Skew on Join Performance in Parallel Architectures.
Proceedings of the International Symposium on Databases in Parallel and Distributed Systems, 1988

1987
Progressive Transaction Recovery in Distributed DB/DC Systems.
IEEE Trans. Computers, 1987

On coupling multi-systems through data sharing.
Proc. IEEE, 1987

Analysis of Affinity Based Routing in Multi-System Data Sharing.
Perform. Evaluation, 1987

Analysis of Fault Tolerant Multiprocessor Architectures for Lock Engine Design.
Comput. Syst. Sci. Eng., 1987

Design and Analysis of Integrated Concurrency-Coherence Controls.
Proceedings of the VLDB'87, 1987

An Adaptive Optimization Model with Applications to Testing.
Proceedings of the Computer Performance and Reliability, 1987

A Vertical Partitioning Algorithm for Relational Databases.
Proceedings of the Third International Conference on Data Engineering, 1987

On Centralized versus Geographically Distributed Database Systems.
Proceedings of the 7th International Conference on Distributed Computing Systems, 1987

Relation Assignment in Distributed Transaction Processing Environment.
Proceedings of the 7th International Conference on Distributed Computing Systems, 1987

VLSI Circuit Testing Using an Adaptive Optimization Model.
Proceedings of the 24th ACM/IEEE Design Automation Conference. Miami Beach, FL, USA, June 28, 1987

1986
On Multisystem Coupling Through Function Request Shipping.
IEEE Trans. Software Eng., 1986

On Affinity Based Routing in Multi-System Data Sharing.
Proceedings of the VLDB'86 Twelfth International Conference on Very Large Data Bases, 1986

Transaction Recovery in Distributed DB/DC Systems: A Progressive Approach.
Proceedings of the Fifth Symposium on Reliability in Distributed Software and Database Systems, 1986

Analysis of Recovery Protocols in Distributed On-Line Transaction Processing Systems.
Proceedings of the 7th IEEE Real-Time Systems Symposium (RTSS '86), 1986

On Coupling Many Small Systems for Transaction Processing.
Proceedings of the 13th Annual Symposium on Computer Architecture, Tokyo, Japan, June 1986, 1986

Analysis of Multi-System Function Request Shipping.
Proceedings of the Second International Conference on Data Engineering, 1986

On Coupling Partitioned Database Systems.
Proceedings of the 6th International Conference on Distributed Computing Systems, 1986

Dynamic Load Sharing in Distributed Database Systems.
Proceedings of the Fall Joint Computer Conference, November 2-6, 1986, Dallas, Texas, USA, 1986

Performability Analysis of Operation Modes of Configurable Duplex Systems.
Proceedings of the Fall Joint Computer Conference, November 2-6, 1986, Dallas, Texas, USA, 1986

1985
Modelling of Centralized Concurrency Control in a Multi-System Environment.
Proceedings of the 1985 ACM SIGMETRICS conference on Measurement and modeling of computer systems, 1985

Distributed Concurrency Control Analysis for Data Sharing.
Proceedings of the Eleventh International Computer Measurement Group Conference, 1985

1983
An approximation technique for central server queueing models with a priority dispatching rule.
Perform. Evaluation, 1983

1982
A Hybrid ARQ Scheme with Parity Retransmission for Error Control of Satellite Channels.
IEEE Trans. Commun., 1982

1981
An efficient selective-repeat ARQ scheme for satellite channels and its throughput analysis.
Perform. Evaluation, 1981

1980
An Effective Error Control Scheme for Satellite Communications.
IEEE Trans. Commun., 1980


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