Philip S. Yu

Affiliations:
  • University of Illinois at Chicago


According to our database1, Philip S. Yu authored at least 1,530 papers between 1980 and 2022.

Collaborative distances:

Awards

ACM Fellow

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

Timeline

Legend:

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In proceedings 
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Online presence:

On csauthors.net:

Bibliography

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

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

Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction.
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

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

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

Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus.
CoRR, 2022

Towards Target Sequential Rules.
CoRR, 2022

Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination.
CoRR, 2022

A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference.
CoRR, 2022

Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory.
CoRR, 2022

HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction.
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

Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis.
CoRR, 2022

G<sup>3</sup>SR: Global Graph Guided Session-based Recommendation.
CoRR, 2022

TaSPM: Targeted Sequential Pattern Mining.
CoRR, 2022

Towards Revenue Maximization with Popular and Profitable Products.
CoRR, 2022

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

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

Link Prediction with Contextualized Self-Supervision.
CoRR, 2022

Learning from Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning.
CoRR, 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

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

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

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

Graph Structure Learning with Variational Information Bottleneck.
CoRR, 2021

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

An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering.
CoRR, 2021

A Self-supervised Mixed-curvature Graph Neural Network.
CoRR, 2021

US-Rule: Discovering Utility-driven Sequential Rules.
CoRR, 2021

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

Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation.
CoRR, 2021

Federated Social Recommendation with Graph Neural Network.
CoRR, 2021

Utility-driven Mining of Contiguous Sequences.
CoRR, 2021

Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation.
CoRR, 2021

Hyperbolic Hypergraphs for Sequential Recommendation.
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

Dual Adversarial Variational Embedding for Robust Recommendation.
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

A Robust and Generalized Framework for Adversarial Graph Embedding.
CoRR, 2021

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

Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks.
CoRR, 2021

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

TUSQ: Targeted High-Utility Sequence Querying.
CoRR, 2021

An Introduction to Robust Graph Convolutional Networks.
CoRR, 2021

PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning.
CoRR, 2021

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

Understanding WeChat User Preferences and "Wow" Diffusion.
CoRR, 2021

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

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

Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs.
CoRR, 2021

SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism.
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

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources.
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 in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination.
CoRR, 2020

Fairness Constraints in Semi-supervised Learning.
CoRR, 2020

Multi-view Graph Learning by Joint Modeling of Consistency and Inconsistency.
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

GCN for HIN via Implicit Utilization of Attention and Meta-paths.
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

Discovering High Utility Episodes in Sequences.
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

Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking.
CoRR, 2019

Deep Learning for Spatio-Temporal Data Mining: A Survey.
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

DeepBlue: Bi-layered LSTM for tweet popUlarity Estimation.
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

MC<sup>2</sup>: Unsupervised Multiple Social Network Alignment.
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. Kn