Xiang Zhang

CoRR, 2024

Interpretable Imitation Learning with Dynamic Causal Relations.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., October, 2023

DyExplainer: Explainable Dynamic Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Graph Filters for Spectral GNNs via Newton Interpolation.

[BibT_eX]

[DOI]

CoRR, 2023

Dynamic DAG Discovery for Interpretable Imitation Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Random Walk on Multiple Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Unnoticeable Backdoor Attacks on Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Towards Faithful and Consistent Explanations for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Certifiably Robust Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

GC-Flow: A Graph-Based Flow Network for Effective Clustering.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Time Series Contrastive Learning with Information-Aware Augmentations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Collective Approach to Scholar Name Disambiguation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Link Prediction on Heterophilic Graphs via Disentangled Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

On Consistency in Graph Neural Network Interpretation.

[BibT_eX]

[DOI]

CoRR, 2022

AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models.

[BibT_eX]

[DOI]

Ahmed Hassan Awadallah

Jianfeng Gao

CoRR, 2022

Exploring Edge Disentanglement for Node Classification.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

TopoImb: Toward Topology-Level Imbalance in Learning From Graphs.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

HP-GMN: Graph Memory Networks for Heterophilous Graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Personalized Federated Learning via Heterogeneous Modular Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Unsupervised Document Embedding via Contrastive Augmentation.

[BibT_eX]

[DOI]

CoRR, 2021

GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Learning to Drop: Robust Graph Neural Network via Topological Denoising.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection.

[BibT_eX]

[DOI]

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

InfoGCL: Information-Aware Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Collective Approach to Scholar Name Disambiguation (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Multi-Task Recurrent Modular Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Correction to: Memory-based random walk for multi-query local community detection.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2020

Memory-based random walk for multi-query local community detection.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2020

Attentive Social Recommendation: Towards User And Item Diversities.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Multi-Graph Clustering via Attentive Cross-Graph Association.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Parameterized Explainer for Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Local Community Detection in Multiple Networks.

[BibT_eX]

[DOI]

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

Rethinking Local Community Detection: Query Nodes Replacement.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Semi-Supervised Graph-to-Graph Translation.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Dual-regularized one-class collaborative filtering with implicit feedback.

[BibT_eX]

[DOI]

Boleslaw K. Szymanski

Jian Lu

World Wide Web, 2019

The multi-walker chain and its application in local community detection.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2019

Constrained Local Graph Clustering by Colored Random Walk.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Deep Co-Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adaptive Neural Network for Node Classification in Dynamic Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

On Generating Dominators of Customer Preferences.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Second-order random walk-based proximity measures in graph analysis: formulations and algorithms.

[BibT_eX]

[DOI]

VLDB J., 2018

ComClus: A Self-Grouping Framework for Multi-Network Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2018

HyCLASSS: A Hybrid Classifier for Automatic Sleep Stage Scoring.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2018

Co-Regularized Deep Multi-Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Local Graph Clustering by Multi-network Random Walk with Restart.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

On Multi-query Local Community Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2017

Finding susceptible and protective interaction patterns in large-scale genetic association study.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2017

Automated Medical Diagnosis by Ranking Clusters Across the Symptom-Disease Network.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Many Heads are Better than One: Local Community Detection by the Multi-walker Chain.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Cross-Network Clustering and Cluster Ranking for Medical Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016

Efficient and Exact Local Search for Random Walk Based Top-K Proximity Query in Large Graphs.

[BibT_eX]

[DOI]

Yubao Wu

Ruoming Jin

IEEE Trans. Knowl. Data Eng., 2016

Mining Dual Networks: Models, Algorithms, and Applications.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2016

CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2016

Remember Where You Came From: On The Second-Order Random Walk Based Proximity Measures.

[BibT_eX]

[DOI]

Yubao Wu

Yuchen Bian

Proc. VLDB Endow., 2016

HICC: an entropy splitting-based framework for hierarchical co-clustering.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2016

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

[BibT_eX]

[DOI]

BMC Bioinform., 2016

Sparse regression models for unraveling group and individual associations in eQTL mapping.

[BibT_eX]

[DOI]

BMC Bioinform., 2016

Self-Grouping Multi-network Clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Robust Local Community Detection: On Free Rider Effect and Its Elimination.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2015

Fast and robust group-wise eQTL mapping using sparse graphical models.

[BibT_eX]

[DOI]

BMC Bioinform., 2015

Flexible and Robust Multi-Network Clustering.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Finding dense and connected subgraphs in dual networks.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014

Learning Phenotype Structure Using Sequence Model.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2014

Searching Dimension Incomplete Databases.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2014

Performance research on time-triggered Ethernet based on network calculus.

[BibT_eX]

[DOI]

EURASIP J. Wirel. Commun. Netw., 2014

Drug repositioning by integrating target information through a heterogeneous network model.

[BibT_eX]

[DOI]

Bioinform., 2014

Graph-regularized dual Lasso for robust eQTL mapping.

[BibT_eX]

[DOI]

Bioinform., 2014

Fast and unified local search for random walk based k-nearest-neighbor query in large graphs.

[BibT_eX]

[DOI]

Yubao Wu

Ruoming Jin

Fernando Pardo-Manuel de Villena

Proceedings of the International Conference on Management of Data, 2014

Inside the atoms: ranking on a network of networks.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Dual-Regularized One-Class Collaborative Filtering.

[BibT_eX]

[DOI]

Boleslaw K. Szymanski

Jian Lu

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

GeneScissors: a comprehensive approach to detecting and correcting spurious transcriptome inference owing to RNA-seq reads misalignment.

[BibT_eX]

[DOI]

Leonard McMillan

Bioinform., 2013

Flexible and robust co-regularized multi-domain graph clustering.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012

Chapter 10: Mining Genome-Wide Genetic Markers.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2012

Dual Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Metric Learning from Relative Comparisons by Minimizing Squared Residual.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Hierarchical co-clustering based on entropy splitting.

[BibT_eX]

[DOI]

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Inferring novel associations between SNP sets and gene sets in eQTL study using sparse graphical model.

[BibT_eX]

[DOI]

Proceedings of the ACM International Conference on Bioinformatics, 2012

2011

Tools for efficient epistasis detection in genome-wide association study.

[BibT_eX]

[DOI]

Source Code Biol. Medicine, 2011

Measuring Opinion Relevance in Latent Topic Space.

[BibT_eX]

[DOI]

Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

2010

COE: A General Approach for Efficient Genome-Wide Two-Locus Epistasis Test in Disease Association Study.

[BibT_eX]

[DOI]

J. Comput. Biol., 2010

TEAM: efficient two-locus epistasis tests in human genome-wide association study.

[BibT_eX]

[DOI]

Bioinform., 2010

Finding High-Order Correlations in High-Dimensional Biological Data.

[BibT_eX]

[DOI]

Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

2009

Efficient algorithms for genome-wide association study.

[BibT_eX]

[DOI]

Fei Zou

ACM Trans. Knowl. Discov. Data, 2009

FastChi: An Efficient Algorithm for Analyzing Gene-Gene Interactions.

[BibT_eX]

[DOI]

Fei Zou

Proceedings of the Biocomputing 2009: Proceedings of the Pacific Symposium, 2009

2008

Mining non-redundant high order correlations in binary data.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2008

CRD: fast co-clustering on large datasets utilizing sampling-based matrix decomposition.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Fastanova: an efficient algorithm for genome-wide association study.

[BibT_eX]

[DOI]

Fei Zou

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

CARE: Finding Local Linear Correlations in High Dimensional Data.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Data Engineering, 2008

A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Data Engineering, 2008

REDUS: finding reducible subspaces in high dimensional data.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007

An Efficient Algorithm for Mining Coherent Patterns from Heterogeneous Microarrays.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Scientific and Statistical Database Management, 2007

On Demand Phenotype Ranking through Subspace Clustering.

[BibT_eX]

[DOI]

Jun Huan

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

2006

Mining coherent patterns from heterogeneous microarray data.

[BibT_eX]

[DOI]

Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2004

Novel Approaches to Biomolecular Sequence Indexing.

[BibT_eX]

[DOI]

Emre Karakoç

Z. Meral Özsoyoglu

Süleyman Cenk Sahinalp

Murat Tasan