Hanghang Tong

Affiliations:
  • Arizona State University


According to our database1, Hanghang Tong authored at least 378 papers between 2004 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Generalized few-shot node classification: toward an uncertainty-based solution.
Knowl. Inf. Syst., February, 2024

Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-Link Diagrams.
IEEE Trans. Vis. Comput. Graph., January, 2024

2023
BL-GAN: Semi-Supervised Bug Localization via Generative Adversarial Network.
IEEE Trans. Knowl. Data Eng., November, 2023

On the Vulnerability of Graph Learning-based Collaborative Filtering.
ACM Trans. Inf. Syst., October, 2023

Graph Vulnerability and Robustness: A Survey.
IEEE Trans. Knowl. Data Eng., June, 2023

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

Mobility Inference on Long-Tailed Sparse Trajectory.
ACM Trans. Intell. Syst. Technol., February, 2023

Embedding text-rich graph neural networks with sequence and topical semantic structures.
Knowl. Inf. Syst., February, 2023

Towards Robust Neural Graph Collaborative Filtering via Structure Denoising and Embedding Perturbation.
ACM Trans. Inf. Syst., 2023

Adversarial Attacks on Multi-Network Mining: Problem Definition and Fast Solutions.
IEEE Trans. Knowl. Data Eng., 2023

Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey.
SIGKDD Explor., 2023

Conversational Question Answering with Reformulations over Knowledge Graph.
CoRR, 2023

Invariant Graph Transformer.
CoRR, 2023

ELEGANT: Certified Defense on the Fairness of Graph Neural Networks.
CoRR, 2023

Deceptive Fairness Attacks on Graphs via Meta Learning.
CoRR, 2023

Hierarchical Multi-Marginal Optimal Transport for Network Alignment.
CoRR, 2023

Towards out-of-distribution generalizable predictions of chemical kinetics properties.
CoRR, 2023

On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation.
CoRR, 2023

Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning.
CoRR, 2023

Ensuring User-side Fairness in Dynamic Recommender Systems.
CoRR, 2023

Topological Augmentation for Class-Imbalanced Node Classification.
CoRR, 2023

BeMap: Balanced Message Passing for Fair Graph Neural Network.
CoRR, 2023

Neural Multi-network Diffusion towards Social Recommendation.
CoRR, 2023

FairGen: Towards Fair Graph Generation.
CoRR, 2023

KHAN: Knowledge-Aware Hierarchical Attention Networks for Political Stance Prediction.
CoRR, 2023

STERLING: Synergistic Representation Learning on Bipartite Graphs.
CoRR, 2023

Concept Discovery for Fast Adapatation.
CoRR, 2023

PARROT: Position-Aware Regularized Optimal Transport for Network Alignment.
Proceedings of the ACM Web Conference 2023, 2023

Knowledge Graph Question Answering with Ambiguous Query.
Proceedings of the ACM Web Conference 2023, 2023

KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction.
Proceedings of the ACM Web Conference 2023, 2023

MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Natural and Artificial Dynamics in GNNs: A Tutorial.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Representation Learning on Dynamic Network of Networks.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Concept Discovery for Fast Adaptation.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Reconciling Competing Sampling Strategies of Network Embedding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

From Trainable Negative Depth to Edge Heterophily in Graphs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Node Classification Beyond Homophily: Towards a General Solution.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Kernel Ridge Regression-Based Graph Dataset Distillation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Reconstructing Graph Diffusion History from a Single Snapshot.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Knowledge Graph Reasoning and Its Applications.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Generative Graph Dictionary Learning.
Proceedings of the International Conference on Machine Learning, 2023

Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Do We Really Need Complicated Model Architectures For Temporal Networks?
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Node Abnormality with Weak Supervision.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Geometric Matrix Completion via Sylvester Multi-Graph Neural Network.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs.
Proceedings of the International Conference on Algorithmic Learning Theory, 2023

Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models.
IEEE Trans. Vis. Comput. Graph., 2022

HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation.
ACM Trans. Inf. Syst., 2022

Auditing Network Embedding: An Edge Influence Based Approach.
IEEE Trans. Knowl. Data Eng., 2022

Spiral of Silence and Its Application in Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2022

Nested Named Entity Recognition: A Survey.
ACM Trans. Knowl. Discov. Data, 2022

SODA: Detecting COVID-19 in Chest X-Rays With Semi-Supervised Open Set Domain Adaptation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Visual Analytics of Anomalous User Behaviors: A Survey.
IEEE Trans. Big Data, 2022

Data Augmentation for Deep Graph Learning: A Survey.
SIGKDD Explor., 2022

Enhancing bug localization with bug report decomposition and code hierarchical network.
Knowl. Based Syst., 2022

Knowledge Graph Comparative Reasoning for Fact Checking: Problem Definition and Algorithms.
IEEE Data Eng. Bull., 2022

GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network.
CoRR, 2022

Solving practical multi-body dynamics problems using a single neural operator.
CoRR, 2022

Retrieval Based Time Series Forecasting.
CoRR, 2022

ARIEL: Adversarial Graph Contrastive Learning.
CoRR, 2022

Privacy-preserving Graph Analytics: Secure Generation and Federated Learning.
CoRR, 2022

Schema-Guided Event Graph Completion.
CoRR, 2022

COIN: Co-Cluster Infomax for Bipartite Graphs.
CoRR, 2022

PINO-MBD: Physics-informed Neural Operator for Solving Coupled ODEs in Multi-body Dynamics.
CoRR, 2022

Trustworthy Graph Neural Networks: Aspects, Methods and Trends.
CoRR, 2022

Learning Optimal Propagation for Graph Neural Networks.
CoRR, 2022

Detecting Topology Attacks against Graph Neural Networks.
CoRR, 2022

Graph Sanitation with Application to Node Classification.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

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

RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Adversarial Graph Contrastive Learning with Information Regularization.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Structure Meets Sequences: Predicting Network of Co-evolving Sequences.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

YACC: A Framework Generalizing TuránShadow for Counting Large Cliques.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

A Deep Learning Dataloader with Shared Data Preparation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep Active Learning by Leveraging Training Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CoNSoLe: Convex Neural Symbolic Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improved Algorithms for Neural Active Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fair Representation Learning: An Alternative to Mutual Information.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Joint Knowledge Graph Completion and Question Answering.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Algorithmic Fairness on Graphs: Methods and Trends.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Domain Adaptation in Physical Systems via Graph Kernel.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Combining Code Context and Fine-grained Code Difference for Commit Message Generation.
Proceedings of the Internetware 2022: 13th Asia-Pacific Symposium on Internetware, Hohhot, China, June 11, 2022

Active Heterogeneous Graph Neural Networks with Per-step Meta-Q-Learning.
Proceedings of the IEEE International Conference on Data Mining, 2022

Generalized Few-Shot Node Classification.
Proceedings of the IEEE International Conference on Data Mining, 2022

An Invisible Black-Box Backdoor Attack Through Frequency Domain.
Proceedings of the Computer Vision - ECCV 2022, 2022

SuGeR: A Subgraph-based Graph Convolutional Network Method for Bundle Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Dissecting Cross-Layer Dependency Inference on Multi-Layered Inter-Dependent Networks.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

DISCO: Comprehensive and Explainable Disinformation Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

ABM: Attention-based Message Passing Network for Knowledge Graph Completion.
Proceedings of the IEEE International Conference on Big Data, 2022

Adaptive Knowledge Transfer on Evolving Domains.
Proceedings of the IEEE International Conference on Big Data, 2022

A Survey of Explainable Graph Neural Networks for Cyber Malware Analysis.
Proceedings of the IEEE International Conference on Big Data, 2022

iFiG: Individually Fair Multi-view Graph Clustering.
Proceedings of the IEEE International Conference on Big Data, 2022

Comparative Reasoning for Knowledge Graph Fact Checking.
Proceedings of the IEEE International Conference on Big Data, 2022

InfoFair: Information-Theoretic Intersectional Fairness.
Proceedings of the IEEE International Conference on Big Data, 2022

Self-supervised Hypergraph Representation Learning.
Proceedings of the IEEE International Conference on Big Data, 2022

Fair Regression under Sample Selection Bias.
Proceedings of the IEEE International Conference on Big Data, 2022

Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics.
IEEE Trans. Vis. Comput. Graph., 2021

Graph Ranking Auditing: Problem Definition and Fast Solutions.
IEEE Trans. Knowl. Data Eng., 2021

Shifu2: A Network Representation Learning Based Model for Advisor-Advisee Relationship Mining.
IEEE Trans. Knowl. Data Eng., 2021

High-Order Structure Exploration on Massive Graphs: A Local Graph Clustering Perspective.
ACM Trans. Knowl. Discov. Data, 2021

Scholar2vec: Vector Representation of Scholars for Lifetime Collaborator Prediction.
ACM Trans. Knowl. Discov. Data, 2021

Fast Connectivity Minimization on Large-Scale Networks.
ACM Trans. Knowl. Discov. Data, 2021

Nonbacktracking Eigenvalues under Node Removal: X-Centrality and Targeted Immunization.
SIAM J. Math. Data Sci., 2021

Incremental one-class collaborative filtering with co-evolving side networks.
Knowl. Inf. Syst., 2021

How to Optimize an Academic Team When the Outlier Member is Leaving?
IEEE Intell. Syst., 2021

A deep multimodal model for bug localization.
Data Min. Knowl. Discov., 2021

Backdoor Attack through Frequency Domain.
CoRR, 2021

Deep Active Learning by Leveraging Training Dynamics.
CoRR, 2021

Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders.
CoRR, 2021

Graph-MVP: Multi-View Prototypical Contrastive Learning for Multiplex Graphs.
CoRR, 2021

MultiFair: Multi-Group Fairness in Machine Learning.
CoRR, 2021

Hypergraph Pre-training with Graph Neural Networks.
CoRR, 2021

Graph Sanitation with Application to Node Classification.
CoRR, 2021

Attent: Active Attributed Network Alignment.
Proceedings of the WWW '21: The Web Conference 2021, 2021

BRIGHT: A Bridging Algorithm for Network Alignment.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Network of Tensor Time Series.
Proceedings of the WWW '21: The Web Conference 2021, 2021

HDMI: High-order Deep Multiplex Infomax.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Few-shot Network Anomaly Detection via Cross-network Meta-learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Unsupervised Attributed Network Embedding via Cross Fusion.
Proceedings of the WSDM '21, 2021

Fairness-aware Agnostic Federated Learning.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Event Time Extraction and Propagation via Graph Attention Networks.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Balancing Consistency and Disparity in Network Alignment.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Neural-Answering Logical Queries on Knowledge Graphs.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

KompaRe: A Knowledge Graph Comparative Reasoning System.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

New Frontiers of Multi-Network Mining: Recent Developments and Future Trend.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Sylvester Tensor Equation for Multi-Way Association.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Individual Fairness for Graph Neural Networks: A Ranking based Approach.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks.
Proceedings of the IEEE International Conference on Data Mining, 2021

EventKE: Event-Enhanced Knowledge Graph Embedding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Multiplex Graph Neural Network for Extractive Text Summarization.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

DESTINE: Dense Subgraph Detection on Multi-Layered Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Fair Graph Mining.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Evaluating Graph Vulnerability and Robustness using TIGER.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

REFORM: Fast and Adaptive Solution for Subteam Replacement.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Dynamic Knowledge Graph Alignment.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
OnionGraph: Hierarchical topology+attribute multivariate network visualization.
Vis. Informatics, 2020

Eiffel: Evolutionary Flow Map for Influence Graph Visualization.
IEEE Trans. Vis. Comput. Graph., 2020

Inferring Full Diffusion History from Partial Timestamps.
IEEE Trans. Knowl. Data Eng., 2020

Incomplete Network Alignment: Problem Definitions and Fast Solutions.
ACM Trans. Knowl. Discov. Data, 2020

Adversarial Learning for Multi-Task Sequence Labeling With Attention Mechanism.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Enhancing supervised bug localization with metadata and stack-trace.
Knowl. Inf. Syst., 2020

KompaRe: A Knowledge Graph Comparative Reasoning System.
CoRR, 2020

Node Immunization with Non-backtracking Eigenvalues.
CoRR, 2020

Data-Driven Computational Social Science: A Survey.
Big Data Res., 2020

Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

NetTrans: Neural Cross-Network Transformation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

InFoRM: Individual Fairness on Graph Mining.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

CooBa: Cross-project Bug Localization via Adversarial Transfer Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Heterogeneous Transfer Learning on Power Systems: A Merged Multi-Modal Gaussian Graphical Model.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Network Alignment: Recent Advances and Future Directions.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Few-shot Insider Threat Detection.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Bringing Order to Network Embedding: A Relative Ranking based Approach.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

A View-Adversarial Framework for Multi-View Network Embedding.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Ranking on Network of Heterogeneous Information Networks.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Dual-regularized one-class collaborative filtering with implicit feedback.
World Wide Web, 2019

Attributed Network Alignment: Problem Definitions and Fast Solutions.
IEEE Trans. Knowl. Data Eng., 2019

Location Prediction for Tweets.
Frontiers Big Data, 2019

EcoLens: Visual Analysis of Urban Region Dynamics Using Traffic Data.
CoRR, 2019

From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort.
CoRR, 2019

A Brief Review of Network Embedding.
Big Data Min. Anal., 2019

Multilevel Network Alignment.
Proceedings of the World Wide Web Conference, 2019

Spiral of Silence in Recommender Systems.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

PC-Fairness: A Unified Framework for Measuring Causality-based Fairness.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Robust Principal Component Analysis with Adaptive Neighbors.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Task-Adversarial Co-Generative Nets.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Deep Multi-Task Learning with Adversarial-and-Cooperative Nets.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Commit Message Generation for Source Code Changes.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

ADMIRING: Adversarial Multi-network Mining.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Robust Embedded Deep K-means Clustering.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Adaptive Feature Redundancy Minimization.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Discerning Edge Influence for Network Embedding.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

N2N: Network Derivative Mining.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

MrMine: Multi-resolution Multi-network Embedding.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Towards Real Time Team Optimization.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

ORIGIN: Non-Rigid Network Alignment.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

G-Finder: Approximate Attributed Subgraph Matching.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

NetDyna: Mining Networked Coevolving Time Series with Missing Values.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Hashtag Recommendation for Photo Sharing Services.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

An Integral Tag Recommendation Model for Textual Content.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Mobile Data Mining
Springer Briefs in Computer Science, Springer, ISBN: 978-3-030-02100-9, 2018

Subgraph Extraction for Trust Inference in Social Networks.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Visual Analysis of Brain Networks Using Sparse Regression Models.
ACM Trans. Knowl. Discov. Data, 2018

Visualizing Research Impact through Citation Data.
ACM Trans. Interact. Intell. Syst., 2018

Guiding supervised topic modeling for content based tag recommendation.
Neurocomputing, 2018

Local Partition in Rich Graphs.
CoRR, 2018

AURORA: Auditing PageRank on Large Graphs.
CoRR, 2018

GTA<sup>3</sup> 2018: Workshop on Graph Techniques for Adversarial Activity Analytics.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Network Science of Teams: Characterization, Prediction, and Optimization.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Multi-Layered Network Embedding.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Extra: explaining team recommendation in networks.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Team Expansion in Collaborative Environments.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

FASTEN: Fast Sylvester Equation Solver for Graph Mining.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Network Connectivity Optimization: Fundamental Limits and Effective Algorithms.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Bug Localization via Supervised Topic Modeling.
Proceedings of the IEEE International Conference on Data Mining, 2018

Graph Convolutional Networks: Algorithms, Applications and Open Challenges.
Proceedings of the Computational Data and Social Networks - 7th International Conference, 2018

Towards Explainable Networked Prediction.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

X-Rank: Explainable Ranking in Complex Multi-Layered Networks.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

AURORA: Auditing PageRank on Large Graphs.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Local Partition in Rich Graphs.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Realtime Robustification of Interdependent Networks under Cascading Attacks.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Blockwise Human Brain Network Visual Comparison Using NodeTrix Representation.
IEEE Trans. Vis. Comput. Graph., 2017

Fast and Flexible Top-<i>k</i> Similarity Search on Large Networks.
ACM Trans. Inf. Syst., 2017

Version-Aware Rating Prediction for Mobile App Recommendation.
ACM Trans. Inf. Syst., 2017

Scalable Algorithms for CQA Post Voting Prediction.
IEEE Trans. Knowl. Data Eng., 2017

RaPare: A Generic Strategy for Cold-Start Rating Prediction Problem.
IEEE Trans. Knowl. Data Eng., 2017

Enhancing Team Composition in Professional Networks: Problem Definitions and Fast Solutions.
IEEE Trans. Knowl. Data Eng., 2017

Towards Optimal Connectivity on Multi-Layered Networks.
IEEE Trans. Knowl. Data Eng., 2017

Cross-Dependency Inference in Multi-Layered Networks: A Collaborative Filtering Perspective.
ACM Trans. Knowl. Discov. Data, 2017

Guest Editorial: Big Scholar Data Discovery and Collaboration.
IEEE Trans. Big Data, 2017

On the Measurement and Prediction of Web Content Utility: A Review.
SIGKDD Explor., 2017

On the eigen-functions of dynamic graphs: Fast tracking and attribution algorithms.
Stat. Anal. Data Min., 2017

Special focus on natural language processing and social computing.
Sci. China Inf. Sci., 2017

Shifu: Deep Learning Based Advisor-advisee Relationship Mining in Scholarly Big Data.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

NEMO: Next Career Move Prediction with Contextual Embedding.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Visual Graph Query Construction and Refinement.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

User-guided Cross-domain Sentiment Classification.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

A Local Algorithm for Structure-Preserving Graph Cut.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

HoORaYs: High-order Optimization of Rating Distance for Recommender Systems.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Is the Whole Greater Than the Sum of Its Parts?
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

FIRST: Fast Interactive Attributed Subgraph Matching.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

iNEAT: Incomplete Network Alignment.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Inside the Atoms: Mining a Network of Networks and Beyond.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Uncovering Teamwork in Networks - Prediction, Optimization and Explanation.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Automatic Navbox Generation by Interpretable Clustering over Linked Entities.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Rapid Analysis of Network Connectivity.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

iSphere: Focus+Context Sphere Visualization for Interactive Large Graph Exploration.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

Personalized travel mode detection with smartphone sensors.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

VariFunNet, an integrated multiscale modeling framework to study the effects of rare non-coding variants in genome-wide association studies: Applied to Alzheimer's disease.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Node Immunization on Large Graphs: Theory and Algorithms.
IEEE Trans. Knowl. Data Eng., 2016

Guest Editorial: Special Issue on Connected Health at Big Data Era (BigChat): A TKDD Special Issue.
ACM Trans. Knowl. Discov. Data, 2016

Eigen-Optimization on Large Graphs by Edge Manipulation.
ACM Trans. Knowl. Discov. Data, 2016

Online Travel Mode Identification Using Smartphones With Battery Saving Considerations.
IEEE Trans. Intell. Transp. Syst., 2016

Guest Editorial: Special Issue on Big Scholar Data Discovery and Collaboration (Continued).
IEEE Trans. Big Data, 2016

Large-Scale Off-Target Identification Using Fast and Accurate Dual Regularized One-Class Collaborative Filtering and Its Application to Drug Repurposing.
PLoS Comput. Biol., 2016

Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model.
BMC Bioinform., 2016

Preface.
Big Data Res., 2016

<i>iPath: </i> Forecasting the Pathway to Impact.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

FINAL: Fast Attributed Network Alignment.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

QUINT: On Query-Specific Optimal Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

TOPIC: Toward perfect Influence Graph Summarization.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Network based models and path based features for gene prioritization.
Proceedings of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design, 2016

Tag2Word: Using Tags to Generate Words for Content Based Tag Recommendation.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

BigNet 2016: First Workshop on Big Network Analytics.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

TEAMOPT: Interactive Team Optimization in Big Networks.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

VISAGE: Interactive Visual Graph Querying.
Proceedings of the International Working Conference on Advanced Visual Interfaces, 2016

2015
VEGAS: Visual influEnce GrAph Summarization on Citation Networks.
IEEE Trans. Knowl. Data Eng., 2015

Detecting high-quality posts in community question answering sites.
Inf. Sci., 2015

Robust bilinear factorization with missing and grossly corrupted observations.
Inf. Sci., 2015

Graph based anomaly detection and description: a survey.
Data Min. Knowl. Discov., 2015

Replacing the Irreplaceable: Fast Algorithms for Team Member Recommendation.
Proceedings of the 24th International Conference on World Wide Web, 2015

Mobile Crowd Assisted Navigation for the Visually Impaired.
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

Supervised Link Prediction Using Random Walks.
Proceedings of the Social Media Processing - 4th National Conference, 2015

<i>Cheetah</i>: Fast Graph Kernel Tracking on Dynamic Graphs.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

MET: A Fast Algorithm for Minimizing Propagation in Large Graphs with Small Eigen-Gaps.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Fast Eigen-Functions Tracking on Dynamic Graphs.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Fast Mining of a Network of Coevolving Time Series.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Panther: Fast Top-k Similarity Search on Large Networks.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Flexible and Robust Multi-Network Clustering.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

The Child is Father of the Man: Foresee the Success at the Early Stage.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Facets: Fast Comprehensive Mining of Coevolving High-order Time Series.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Interactive Querying over Large Network Data: Scalability, Visualization, and Interaction Design.
Proceedings of the 20th International Conference on Intelligent User Interfaces Companion, 2015

Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

BrainQuest: Perception-Guided Brain Network Comparison.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

On the Connectivity of Multi-layered Networks: Models, Measures and Optimal Control.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

An Integrated Tag Recommendation Algorithm Towards Weibo User Profiling.
Proceedings of the Database Systems for Advanced Applications, 2015

g-Miner: Interactive Visual Group Mining on Multivariate Graphs.
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

Full diffusion history reconstruction in networks.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Robust network construction against intentional attacks.
Proceedings of the 2015 International Conference on Big Data and Smart Computing, 2015

Towards Topic Following in Heterogeneous Information Networks.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Subgraph Extraction for Trust Inference in Social Networks.
Encyclopedia of Social Network Analysis and Mining, 2014

Multi-Aspect + Transitivity + Bias: An Integral Trust Inference Model.
IEEE Trans. Knowl. Data Eng., 2014

The Links Have It: Infobox Generation by Summarization over Linked Entities.
CoRR, 2014

Structured Low-Rank Matrix Factorization with Missing and Grossly Corrupted Observations.
CoRR, 2014

Query complex graph patterns: tools and applications.
Proceedings of the 23rd International World Wide Web Conference, 2014

User churn in focused question answering sites: characterizations and prediction.
Proceedings of the 23rd International World Wide Web Conference, 2014

1st workshop on diffusion networks and cascade analytics.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Factor Matrix Trace Norm Minimization for Low-Rank Tensor Completion.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Make It or Break It: Manipulating Robustness in Large Networks.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Predicting long-term impact of CQA posts: a comprehensive viewpoint.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Inside the atoms: ranking on a network of networks.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Flow-Based Influence Graph Visual Summarization.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

WiiCluster: a Platform for Wikipedia Infobox Generation.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Dual-Regularized One-Class Collaborative Filtering.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Accelerometer-based Activity Recognition on Smartphone.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

MAGE: Matching approximate patterns in richly-attributed graphs.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Joint voting prediction for questions and answers in CQA.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Hierarchical Focus+Context Heterogeneous Network Visualization.
Proceedings of the IEEE Pacific Visualization Symposium, 2014

Big Data Classification.
Proceedings of the Data Classification: Algorithms and Applications, 2014

2013
Large Graph Analysis in the GMine System.
IEEE Trans. Knowl. Data Eng., 2013

Pairwise trust inference by subgraph extraction.
Soc. Netw. Anal. Min., 2013

Semi-supervised learning with nuclear norm regularization.
Pattern Recognit., 2013

Want a Good Answer? Ask a Good Question First!
CoRR, 2013

SelfTrust: leveraging self-assessment for trust inference in Internetware.
Sci. China Inf. Sci., 2013

MATRI: a multi-aspect and transitive trust inference model.
Proceedings of the 22nd International World Wide Web Conference, 2013

Mining Connection Pathways for Marked Nodes in Large Graphs.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Fractional Immunization in Networks.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Demonstrating Interactive Multi-resolution Large Graph Exploration.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

BIG-ALIGN: Fast Bipartite Graph Alignment.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Big Data Clustering.
Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012
gbase: an efficient analysis platform for large graphs.
VLDB J., 2012

Non-negative residual matrix factorization: problem definition, fast solutions, and applications.
Stat. Anal. Data Min., 2012

Social Network Analysis in Enterprise.
Proc. IEEE, 2012

Gateway finder in large graphs: problem definitions and fast solutions.
Inf. Retr., 2012

An effective framework for characterizing rare categories.
Frontiers Comput. Sci., 2012

Guest editorial: special issue on data mining technologies for computational social science.
Data Min. Knowl. Discov., 2012

MaTrust: An Effective Multi-Aspect Trust Inference Model
CoRR, 2012

Fast Random Walk Graph Kernel.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

PICS: Parameter-free Identification of Cohesive Subgroups in Large Attributed Graphs.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Which Topic Will You Follow?
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

GenDeR: A Generic Diversified Ranking Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

SympGraph: a framework for mining clinical notes through symptom relation graphs.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

RolX: structural role extraction & mining in large graphs.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

TourViz: interactive visualization of connection pathways in large graphs.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Overlapping Clustering with Sparseness Constraints.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Gelling, and melting, large graphs by edge manipulation.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Fast and reliable anomaly detection in categorical data.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Subgraph Extraction for Trust Inference in Social Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
Information spreading in context.
Proceedings of the 20th International Conference on World Wide Web, 2011

Recommending People in Developers' Collaboration Network.
Proceedings of the 18th Working Conference on Reverse Engineering, 2011

Non-Negative Residual Matrix Factorization with Application to Graph Anomaly Detection.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Centralities in Large Networks: Algorithms and Observations.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Epidemic Spread in Mobile Ad Hoc Networks: Determining the Tipping Point.
Proceedings of the NETWORKING 2011, 2011

Diversified ranking on large graphs: an optimization viewpoint.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

GBASE: a scalable and general graph management system.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

It's who you know: graph mining using recursive structural features.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Towards Evolutionary Nonnegative Matrix Factorization.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

BASSET: Scalable Gateway Finder in Large Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Metric forensics: a multi-level approach for mining volatile graphs.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

On the Vulnerability of Large Graphs.
Proceedings of the ICDM 2010, 2010

Rare Category Characterization.
Proceedings of the ICDM 2010, 2010

Proximity Tracking on Dynamic Bipartite Graphs: Problem Definitions and Fast Solutions.
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

2009
Direction-Aware Proximity on Graphs.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

TANGENT: a novel, 'Surprise me', recommendation algorithm.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

iPoG: fast interactive proximity querying on graphs.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Fast Monitoring Proximity and Centrality on Time-evolving Bipartite Graphs.
Stat. Anal. Data Min., 2008

Random walk with restart: fast solutions and applications.
Knowl. Inf. Syst., 2008

Proximity Tracking on Time-Evolving Bipartite Graphs.
Proceedings of the SIAM International Conference on Data Mining, 2008

Colibri: fast mining of large static and dynamic graphs.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Using ghost edges for classification in sparsely labeled networks.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Measuring Proximity on Graphs with Side Information.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

GRAPHITE: A Visual Query System for Large Graphs.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Fast mining of complex time-stamped events.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
Fast direction-aware proximity for graph mining.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Fast best-effort pattern matching in large attributed graphs.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

2006
Generalized Manifold-Ranking-Based Image Retrieval.
IEEE Trans. Image Process., 2006

Manifold-Ranking-Based Keyword Propagation for Image Retrieval.
EURASIP J. Adv. Signal Process., 2006

GMine: A System for Scalable, Interactive Graph Visualization and Mining.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Center-piece subgraphs: problem definition and fast solutions.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Fast Random Walk with Restart and Its Applications.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
Learning No-Reference Quality Metric by Examples.
Proceedings of the 11th International Conference on Multi Media Modeling (MMM 2005), 2005

Graph based multi-modality learning.
Proceedings of the 13th ACM International Conference on Multimedia, 2005

Multiple random walk and its application in content-based image retrieval.
Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2005

Anomaly Internet Network Traffic Detection by Kernel Principle Component Classifier.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Internet Traffic Prediction by W-Boost: Classification and Regression.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Boosting Web Image Search by Co-Ranking.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

A Unified Optimization Based Learning Method for Image Retrieval.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Classification of Digital Photos Taken by Photographers or Home Users.
Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

Automatic Peak Number Detection in Image Symmetry Analysis.
Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

Pseudo Relevance Feedback Based on Iterative Probabilistic One-Class SVMs in Web Image Retrieval.
Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

Manifold-ranking based image retrieval.
Proceedings of the 12th ACM International Conference on Multimedia, 2004

Mean version space: a new active learning method for content-based image retrieval.
Proceedings of the 6th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2004

A Boosting-Based Framework for Self-Similar and Non-linear Internet Traffic Prediction.
Proceedings of the Advances in Neural Networks, 2004

Blur detection for digital images using wavelet transform.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

No-reference quality assessment for JPEG2000 compressed images.
Proceedings of the 2004 International Conference on Image Processing, 2004


  Loading...