Xiang Zhang

According to our database, Xiang Zhang authored at least 118 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Imbalanced Node Classification With Synthetic Over-Sampling.

Tianxiang Zhao, Xiang Zhang, Suhang Wang

IEEE Trans. Knowl. Data Eng., December, 2024

Towards Inductive and Efficient Explanations for Graph Neural Networks.

Dongsheng Luo, Tianxiang Zhao, Wei Cheng, Dongkuan Xu, Feng Han, Wenchao Yu, Xiao Liu, Haifeng Chen, Xiang Zhang

IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors.

Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen, Xiang Zhang, Wei Cheng

CoRR, 2024

Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation.

Minhua Lin, Zhengzhang Chen, Yanchi Liu, Xujiang Zhao, Zongyu Wu, Junxiang Wang, Xiang Zhang, Suhang Wang, Haifeng Chen

CoRR, 2024

Trojan Prompt Attacks on Graph Neural Networks.

Minhua Lin, Zhiwei Zhang, Enyan Dai, Zongyu Wu, Yilong Wang, Xiang Zhang, Suhang Wang

CoRR, 2024

Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models.

Zhawnen Chen, Tianchun Wang, Yizhou Wang, Michal Kosinski, Xiang Zhang, Yun Fu, Sheng Li

CoRR, 2024

LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning.

Junjie Xu, Zongyu Wu, Minhua Lin, Xiang Zhang, Suhang Wang

CoRR, 2024

Disambiguated Node Classification with Graph Neural Networks.

Tianxiang Zhao, Xiang Zhang, Suhang Wang

Proceedings of the ACM on Web Conference 2024, 2024

Interpretable Imitation Learning with Dynamic Causal Relations.

Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen

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

Universal Prompt Optimizer for Safe Text-to-Image Generation.

Zongyu Wu, Hongcheng Gao, Yueze Wang, Xiang Zhang, Suhang Wang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling.

Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Shape-aware Graph Spectral Learning.

Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment.

Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang

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

Random Walk on Multiple Networks.

Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiong Bill Yu, Jun Huan, Xiao Liu, Xiang Zhang

IEEE Trans. Knowl. Data Eng., August, 2023

DyExplainer: Explainable Dynamic Graph Neural Networks.

Tianchun Wang, Dongsheng Luo, Wei Cheng, Haifeng Chen, Xiang Zhang

CoRR, 2023

Learning Graph Filters for Spectral GNNs via Newton Interpolation.

Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang

CoRR, 2023

Dynamic DAG Discovery for Interpretable Imitation Learning.

Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen

CoRR, 2023

Unnoticeable Backdoor Attacks on Graph Neural Networks.

Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang

Proceedings of the ACM Web Conference 2023, 2023

Towards Faithful and Consistent Explanations for Graph Neural Networks.

Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang

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

Certifiably Robust Graph Contrastive Learning.

Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang

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.

Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen

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

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

Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen

Proceedings of the International Conference on Machine Learning, 2023

Time Series Contrastive Learning with Information-Aware Augmentations.

Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang

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

2022

A Collective Approach to Scholar Name Disambiguation.

Dongsheng Luo, Shuai Ma, Yaowei Yan, Chunming Hu, Xiang Zhang, Jinpeng Huai

IEEE Trans. Knowl. Data Eng., 2022

Link Prediction on Heterophilic Graphs via Disentangled Representation Learning.

Shijie Zhou, Zhimeng Guo, Charu C. Aggarwal, Xiang Zhang, Suhang Wang

CoRR, 2022

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

Tianxiang Zhao, Xiang Zhang, Suhang Wang

CoRR, 2022

On Consistency in Graph Neural Network Interpretation.

Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang

CoRR, 2022

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

Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Hassan Awadallah, Jianfeng Gao

CoRR, 2022

Exploring Edge Disentanglement for Node Classification.

Tianxiang Zhao, Xiang Zhang, Suhang Wang

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

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

Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Hassan Awadallah, Jianfeng Gao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang

Proceedings of the Learning on Graphs Conference, 2022

HP-GMN: Graph Memory Networks for Heterophilous Graphs.

Junjie Xu, Enyan Dai, Xiang Zhang, Suhang Wang

Proceedings of the IEEE International Conference on Data Mining, 2022

Personalized Federated Learning via Heterogeneous Modular Networks.

Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

BM-NAS: Bilevel Multimodal Neural Architecture Search.

Yihang Yin, Siyu Huang, Xiang Zhang, Dejing Dou

CoRR, 2021

Unsupervised Document Embedding via Contrastive Augmentation.

Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang

CoRR, 2021

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

Tianxiang Zhao, Xiang Zhang, Suhang Wang

Proceedings of the WSDM '21, 2021

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

Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang

Proceedings of the WSDM '21, 2021

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

Dongkuan Xu, Wei Cheng, Jingchao Ni, Dongsheng Luo, Masanao Natsumeda, Dongjin Song, Bo Zong, Haifeng Chen, Xiang Zhang

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

InfoGCL: Information-Aware Graph Contrastive Learning.

Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang

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).

Dongsheng Luo, Shuai Ma, Yaowei Yan, Chunming Hu, Xiang Zhang, Jinpeng Huai

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

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

Dongkuan Xu, Junjie Liang, Wei Cheng, Hua Wei, Haifeng Chen, Xiang Zhang

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

Multi-Task Recurrent Modular Networks.

Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang

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

2020

Neuroimaging contrast across the cortical hierarchy is the feature maximally linked to behavior and demographics.

Feng Han, Yameng Gu, Gregory L. Brown, Xiang Zhang, Xiao Liu

NeuroImage, 2020

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

Yuchen Bian, Dongsheng Luo, Yaowei Yan, Wei Cheng, Wei Wang, Xiang Zhang

Knowl. Inf. Syst., 2020

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

Yuchen Bian, Dongsheng Luo, Yaowei Yan, Wei Cheng, Wei Wang, Xiang Zhang

Knowl. Inf. Syst., 2020

Attentive Social Recommendation: Towards User And Item Diversities.

Dongsheng Luo, Yuchen Bian, Xiang Zhang, Jun Huan

CoRR, 2020

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

Dongsheng Luo, Jingchao Ni, Suhang Wang, Yuchen Bian, Xiong Bill Yu, Xiang Zhang

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

Parameterized Explainer for Graph Neural Network.

Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang

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.

Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiao Liu, Jun Huan, Xiang Zhang

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

Rethinking Local Community Detection: Query Nodes Replacement.

Yuchen Bian, Jun Huan, Dejing Dou, Xiang Zhang

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

Semi-Supervised Graph-to-Graph Translation.

Tianxiang Zhao, Xianfeng Tang, Xiang Zhang, Suhang Wang

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.

Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang

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

2019

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

Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw K. Szymanski, Jian Lu

World Wide Web, 2019

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

Yuchen Bian, Jingchao Ni, Wei Cheng, Xiang Zhang

Knowl. Inf. Syst., 2019

Constrained Local Graph Clustering by Colored Random Walk.

Yaowei Yan, Yuchen Bian, Dongsheng Luo, Dongwon Lee, Xiang Zhang

Proceedings of the World Wide Web Conference, 2019

Deep Co-Clustering.

Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, Xiang Zhang

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

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

Dongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang

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

Adaptive Neural Network for Node Classification in Dynamic Networks.

Dongkuan Xu, Wei Cheng, Dongsheng Luo, Yameng Gu, Xiao Liu, Jingchao Ni, Bo Zong, Haifeng Chen, Xiang Zhang

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

On Generating Dominators of Customer Preferences.

Jiang Bian, Weibo Wang, Xiang Zhang, Wei Wang, Arthur Huang, Zhishan Guo

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.

Yubao Wu, Xiang Zhang, Yuchen Bian, Zhipeng Cai, Xiang Lian, Xueting Liao, Fengpan Zhao

VLDB J., 2018

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

Jingchao Ni, Wei Cheng, Wei Fan, Xiang Zhang

IEEE Trans. Knowl. Data Eng., 2018

HyCLASSS: A Hybrid Classifier for Automatic Sleep Stage Scoring.

Xiaojin Li, Licong Cui, Shiqiang Tao, Jing Chen, Xiang Zhang, Guo-Qiang Zhang

IEEE J. Biomed. Health Informatics, 2018

Co-Regularized Deep Multi-Network Embedding.

Jingchao Ni, Shiyu Chang, Xiao Liu, Wei Cheng, Haifeng Chen, Dongkuan Xu, Xiang Zhang

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

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

Yaowei Yan, Dongsheng Luo, Jingchao Ni, Hongliang Fei, Wei Fan, Xiong Bill Yu, John Yen, Xiang Zhang

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

On Multi-query Local Community Detection.

Yuchen Bian, Yaowei Yan, Wei Cheng, Wei Wang, Dongsheng Luo, Xiang Zhang

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.

Wei Cheng, Jingchao Ni, Kai Zhang, Haifeng Chen, Guofei Jiang, Yu Shi, Xiang Zhang, Wei Wang

ACM Trans. Knowl. Discov. Data, 2017

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

Yuan Li, Yuhai Zhao, Guoren Wang, Xiaofeng Zhu, Xiang Zhang, Zhanghui Wang, Jun Pang

Frontiers Comput. Sci., 2017

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

Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang

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

Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems.

Jingchao Ni, Wei Cheng, Kai Zhang, Dongjin Song, Tan Yan, Haifeng Chen, Xiang Zhang

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.

Yuchen Bian, Jingchao Ni, Wei Cheng, Xiang Zhang

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

Cross-Network Clustering and Cluster Ranking for Medical Diagnosis.

Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang

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.

Yubao Wu, Ruoming Jin, Xiang Zhang

IEEE Trans. Knowl. Data Eng., 2016

Mining Dual Networks: Models, Algorithms, and Applications.

Yubao Wu, Xiaofeng Zhu, Li Li, Wei Fan, Ruoming Jin, Xiang Zhang

ACM Trans. Knowl. Discov. Data, 2016

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

Wei Cheng, Zhishan Guo, Xiang Zhang, Wei Wang

ACM Trans. Knowl. Discov. Data, 2016

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

Yubao Wu, Yuchen Bian, Xiang Zhang

Proc. VLDB Endow., 2016

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

Wei Cheng, Xiang Zhang, Feng Pan, Wei Wang

Knowl. Inf. Syst., 2016

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

Jingchao Ni, Mehmet Koyutürk, Hanghang Tong, Jonathan L. Haines, Rong Xu, Xiang Zhang

BMC Bioinform., 2016

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

Wei Cheng, Yu Shi, Xiang Zhang, Wei Wang

BMC Bioinform., 2016

Self-Grouping Multi-network Clustering.

Jingchao Ni, Wei Cheng, Wei Fan, Xiang Zhang

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

2015

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

Yubao Wu, Ruoming Jin, Jing Li, Xiang Zhang

Proc. VLDB Endow., 2015

Comparative analysis of a novel disease phenotype network based on clinical manifestations.

Yang Chen, Xiang Zhang, Guo-Qiang Zhang, Rong Xu

J. Biomed. Informatics, 2015

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

Wei Cheng, Shi Yu, Xiang Zhang, Wei Wang

BMC Bioinform., 2015

Flexible and Robust Multi-Network Clustering.

Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang

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.

Rui Liu, Wei Cheng, Hanghang Tong, Wei Wang, Xiang Zhang

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

Finding dense and connected subgraphs in dual networks.

Yubao Wu, Ruoming Jin, Xiaofeng Zhu, Xiang Zhang

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

2014

Learning Phenotype Structure Using Sequence Model.

Yuhai Zhao, Guoren Wang, Xiang Zhang, Jeffrey Xu Yu, Zhanghui Wang

IEEE Trans. Knowl. Data Eng., 2014

Searching Dimension Incomplete Databases.

Wei Cheng, Xiaoming Jin, Jian-Tao Sun, Xuemin Lin, Xiang Zhang, Wei Wang

IEEE Trans. Knowl. Data Eng., 2014

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

Yu Xiang, Wei Wang, Xiang Zhang, Zhenwei Li

EURASIP J. Wirel. Commun. Netw., 2014

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

Wenhui Wang, Sen Yang, Xiang Zhang, Jing Li

Bioinform., 2014

Graph-regularized dual Lasso for robust eQTL mapping.

Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi, Wei Wang

Bioinform., 2014

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

Yubao Wu, Ruoming Jin, Xiang Zhang

Proceedings of the International Conference on Management of Data, 2014

Inside the atoms: ranking on a network of networks.

Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang

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

Dual-Regularized One-Class Collaborative Filtering.

Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, 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.

Zhaojun Zhang, Shunping Huang, Jack Wang, Xiang Zhang, Fernando Pardo-Manuel de Villena, Leonard McMillan, Wei Wang

Bioinform., 2013

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

Wei Cheng, Xiang Zhang, Zhishan Guo, Yubao Wu, Patrick F. Sullivan, Wei Wang

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

Creation and Comparative Analysis of a Novel Disease Phenotype Network Based on Clinical Manifestation.

Yang Chen, Xiang Zhang, Guoqiang Zhang, Rong Xu

Proceedings of the AMIA 2013, 2013

2012

Chapter 10: Mining Genome-Wide Genetic Markers.

Xiang Zhang, Shunping Huang, Zhaojun Zhang, Wei Wang

PLoS Comput. Biol., 2012

Dual Transfer Learning.

Mingsheng Long, Jianmin Wang, Guiguang Ding, Wei Cheng, Xiang Zhang, Wei Wang

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

Metric Learning from Relative Comparisons by Minimizing Squared Residual.

Eric Yi Liu, Zhishan Guo, Xiang Zhang, Vladimir Jojic, Wei Wang

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

Hierarchical co-clustering based on entropy splitting.

Wei Cheng, Xiang Zhang, Feng Pan, Wei Wang

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.

Wei Cheng, Xiang Zhang, Yubao Wu, Xiaolin Yin, Jing Li, David Heckerman, Wei Wang

Proceedings of the ACM International Conference on Bioinformatics, 2012

2011

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

Xiang Zhang, Shunping Huang, Fei Zou, Wei Wang

Source Code Biol. Medicine, 2011

Measuring Opinion Relevance in Latent Topic Space.

Wei Cheng, Xiaochuan Ni, Jian-Tao Sun, Xiaoming Jin, Hye-Chung Kum, Xiang Zhang, Wei Wang

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.

Xiang Zhang, Feng Pan, Yuying Xie, Fei Zou, Wei Wang

J. Comput. Biol., 2010

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

Xiang Zhang, Shunping Huang, Fei Zou, Wei Wang

Bioinform., 2010

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

Xiang Zhang, Feng Pan, Wei Wang

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

2009

Efficient algorithms for genome-wide association study.

Xiang Zhang, Fei Zou, Wei Wang

ACM Trans. Knowl. Discov. Data, 2009

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

Xiang Zhang, Fei Zou, Wei Wang

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

2008

Mining non-redundant high order correlations in binary data.

Xiang Zhang, Feng Pan, Wei Wang, Andrew B. Nobel

Proc. VLDB Endow., 2008

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

Feng Pan, Xiang Zhang, Wei Wang

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

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

Xiang Zhang, Fei Zou, Wei Wang

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

CARE: Finding Local Linear Correlations in High Dimensional Data.

Xiang Zhang, Feng Pan, Wei Wang

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

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

Feng Pan, Xiang Zhang, Wei Wang

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

REDUS: finding reducible subspaces in high dimensional data.

Xiang Zhang, Feng Pan, Wei Wang

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

2007

An Efficient Algorithm for Mining Coherent Patterns from Heterogeneous Microarrays.

Xiang Zhang, Wei Wang

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

On Demand Phenotype Ranking through Subspace Clustering.

Xiang Zhang, Wei Wang, Jun Huan

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

2006

Mining coherent patterns from heterogeneous microarray data.

Xiang Zhang, Wei Wang

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

2004

Novel Approaches to Biomolecular Sequence Indexing.

Emre Karakoç, Z. Meral Özsoyoglu, Süleyman Cenk Sahinalp, Murat Tasan, Xiang Zhang

IEEE Data Eng. Bull., 2004