Xiang Zhang

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 58

Top Topics

Graph Clustering

Community Detection

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
Interpretable Imitation Learning with Dynamic Causal Relations. WSDM (2024)
Zhawnen Chen, Tianchun Wang, Yizhou Wang, Michal Kosinski, Xiang Zhang, Yun Fu, Sheng Li
Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models. CoRR (2024)
Zongyu Wu, Hongcheng Gao, Yueze Wang, Xiang Zhang, Suhang Wang
Universal Prompt Optimizer for Safe Text-to-Image Generation. NAACL-HLT (2024)
Dongsheng Luo, Tianxiang Zhao, Wei Cheng, Dongkuan Xu, Feng Han, Wenchao Yu, Xiao Liu, Haifeng Chen, Xiang Zhang
Towards Inductive and Efficient Explanations for Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46 (8) (2024)
Tianxiang Zhao, Xiang Zhang, Suhang Wang
Disambiguated Node Classification with Graph Neural Networks. WWW (2024)
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling. KDD (2024)
Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiong Bill Yu, Jun Huan, Xiao Liu, Xiang Zhang
Random Walk on Multiple Networks. CoRR (2023)
Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang
Certifiably Robust Graph Contrastive Learning. CoRR (2023)
Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen
GC-Flow: A Graph-Based Flow Network for Effective Clustering. ICML (2023)
Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. KDD (2023)
Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
Dynamic DAG Discovery for Interpretable Imitation Learning. CoRR (2023)
Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang
Unnoticeable Backdoor Attacks on Graph Neural Networks. WWW (2023)
Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen
GC-Flow: A Graph-Based Flow Network for Effective Clustering. CoRR (2023)
Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
Time Series Contrastive Learning with Information-Aware Augmentations. AAAI (2023)
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment. ACM Trans. Intell. Syst. Technol. 14 (5) (2023)
Junjie Xu, Enyan Dai, Xiang Zhang, Suhang Wang
HP-GMN: Graph Memory Networks for Heterophilous Graphs. CoRR (2022)
Tianxiang Zhao, Xiang Zhang, Suhang Wang
Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks. CoRR (2022)
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
On Consistency in Graph Neural Network Interpretation. CoRR (2022)
Dongsheng Luo, Shuai Ma, Yaowei Yan, Chunming Hu, Xiang Zhang, Jinpeng Huai
A Collective Approach to Scholar Name Disambiguation. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Shijie Zhou, Zhimeng Guo, Charu C. Aggarwal, Xiang Zhang, Suhang Wang
Link Prediction on Heterophilic Graphs via Disentangled Representation Learning. CoRR (2022)
Tianxiang Zhao, Xiang Zhang, Suhang Wang
Exploring Edge Disentanglement for Node Classification. WWW (2022)
Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang
Multi-Task Recurrent Modular Networks. AAAI (2021)
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang
InfoGCL: Information-Aware Graph Contrastive Learning. NeurIPS (2021)
Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang
Unsupervised Document Embedding via Contrastive Augmentation. CoRR (2021)
Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang
Learning to Drop: Robust Graph Neural Network via Topological Denoising. WSDM (2021)
Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang
Parameterized Explainer for Graph Neural Network. NeurIPS (2020)
Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang
Parameterized Explainer for Graph Neural Network. CoRR (2020)
Dongsheng Luo, Jingchao Ni, Suhang Wang, Yuchen Bian, Xiong Yu, Xiang Zhang
Deep Multi-Graph Clustering via Attentive Cross-Graph Association. WSDM (2020)
Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang
Learning to Drop: Robust Graph Neural Network via Topological Denoising. CoRR (2020)
Yuchen Bian, Dongsheng Luo, Yaowei Yan, Wei Cheng, Wei Wang, Xiang Zhang
Correction to: Memory-based random walk for multi-query local community detection. Knowl. Inf. Syst. 62 (5) (2020)
Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series. AAAI (2020)
Yuchen Bian, Dongsheng Luo, Yaowei Yan, Wei Cheng, Wei Wang, Xiang Zhang
Memory-based random walk for multi-query local community detection. Knowl. Inf. Syst. 62 (5) (2020)
Yaowei Yan, Yuchen Bian, Dongsheng Luo, Dongwon Lee, Xiang Zhang
Constrained Local Graph Clustering by Colored Random Walk. WWW (2019)
Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, Xiang Zhang
Deep Co-Clustering. SDM (2019)
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang
Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs. IJCAI (2019)
Yuchen Bian, Jingchao Ni, Wei Cheng, Xiang Zhang
The multi-walker chain and its application in local community detection. Knowl. Inf. Syst. 60 (3) (2019)
Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw K. Szymanski, Jian Lu
Dual-regularized one-class collaborative filtering with implicit feedback. World Wide Web 22 (3) (2019)
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Yameng Gu, Xiao Liu, Jingchao Ni, Bo Zong, Haifeng Chen, Xiang Zhang
Adaptive Neural Network for Node Classification in Dynamic Networks. ICDM (2019)
Jiang Bian, Weibo Wang, Xiang Zhang, Wei Wang, Arthur Huang, Zhishan Guo
On Generating Dominators of Customer Preferences. IEEE BigData (2019)
Jingchao Ni, Wei Cheng, Wei Fan, Xiang Zhang
ComClus: A Self-Grouping Framework for Multi-Network Clustering. IEEE Trans. Knowl. Data Eng. 30 (3) (2018)
Yuchen Bian, Yaowei Yan, Wei Cheng, Wei Wang, Dongsheng Luo, Xiang Zhang
On Multi-query Local Community Detection. ICDM (2018)
Yubao Wu, Xiang Zhang, Yuchen Bian, Zhipeng Cai, Xiang Lian, Xueting Liao, Fengpan Zhao
Second-order random walk-based proximity measures in graph analysis: formulations and algorithms. VLDB J. 27 (1) (2018)
Yaowei Yan, Dongsheng Luo, Jingchao Ni, Hongliang Fei, Wei Fan, Xiong Yu, John Yen, Xiang Zhang
Local Graph Clustering by Multi-network Random Walk with Restart. PAKDD (3) (2018)
Jingchao Ni, Shiyu Chang, Xiao Liu, Wei Cheng, Haifeng Chen, Dongkuan Xu, Xiang Zhang
Co-Regularized Deep Multi-Network Embedding. WWW (2018)
Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang
Automated Medical Diagnosis by Ranking Clusters Across the Symptom-Disease Network. ICDM (2017)
Wei Cheng, Jingchao Ni, Kai Zhang, Haifeng Chen, Guofei Jiang, Yu Shi, Xiang Zhang, Wei Wang
Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations. ACM Trans. Knowl. Discov. Data 11 (4) (2017)
Yuchen Bian, Jingchao Ni, Wei Cheng, Xiang Zhang
Many Heads are Better than One: Local Community Detection by the Multi-walker Chain. ICDM (2017)
Jingchao Ni, Wei Cheng, Kai Zhang, Dongjin Song, Tan Yan, Haifeng Chen, Xiang Zhang
Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems. ICDM (2017)
Yuan Li, Yuhai Zhao, Guoren Wang, Xiaofeng Zhu, Xiang Zhang, Zhanghui Wang, Jun Pang
Finding susceptible and protective interaction patterns in large-scale genetic association study. Frontiers Comput. Sci. 11 (3) (2017)
Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang
Cross-Network Clustering and Cluster Ranking for Medical Diagnosis. ICDE (2017)
Yubao Wu, Ruoming Jin, Xiang Zhang
Efficient and Exact Local Search for Random Walk Based Top-K Proximity Query in Large Graphs. IEEE Trans. Knowl. Data Eng. 28 (5) (2016)
Jingchao Ni, Wei Cheng, Wei Fan, Xiang Zhang
Self-Grouping Multi-network Clustering. ICDM (2016)
Wei Cheng, Zhishan Guo, Xiang Zhang, Wei Wang
CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering. ACM Trans. Knowl. Discov. Data 10 (4) (2016)
Wei Cheng, Xiang Zhang, Feng Pan, Wei Wang
HICC: an entropy splitting-based framework for hierarchical co-clustering. Knowl. Inf. Syst. 46 (2) (2016)
Yubao Wu, Xiaofeng Zhu, Li Li, Wei Fan, Ruoming Jin, Xiang Zhang
Mining Dual Networks: Models, Algorithms, and Applications. ACM Trans. Knowl. Discov. Data 10 (4) (2016)
Jingchao Ni, Mehmet Koyutürk, Hanghang Tong, Jonathan L. Haines, Rong Xu, Xiang Zhang
Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model. BMC Bioinform. 17 (2016)
Yubao Wu, Yuchen Bian, Xiang Zhang
Remember Where You Came From: On The Second-Order Random Walk Based Proximity Measures. Proc. VLDB Endow. 10 (1) (2016)
Wei Cheng, Yu Shi, Xiang Zhang, Wei Wang
Sparse regression models for unraveling group and individual associations in eQTL mapping. BMC Bioinform. 17 (2016)
Wei Cheng, Shi Yu, Xiang Zhang, Wei Wang
Fast and robust group-wise eQTL mapping using sparse graphical models. BMC Bioinform. 16 (2015)
Rui Liu, Wei Cheng, Hanghang Tong, Wei Wang, Xiang Zhang
Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment. ICDM (2015)
Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang
Flexible and Robust Multi-Network Clustering. KDD (2015)
Yubao Wu, Ruoming Jin, Jing Li, Xiang Zhang
Robust Local Community Detection: On Free Rider Effect and Its Elimination. Proc. VLDB Endow. 8 (7) (2015)
Yubao Wu, Ruoming Jin, Xiaofeng Zhu, Xiang Zhang
Finding dense and connected subgraphs in dual networks. ICDE (2015)
Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw K. Szymanski, Jian Lu
Dual-Regularized One-Class Collaborative Filtering. CIKM (2014)
Yuhai Zhao, Guoren Wang, Xiang Zhang, Jeffrey Xu Yu, Zhanghui Wang
Learning Phenotype Structure Using Sequence Model. IEEE Trans. Knowl. Data Eng. 26 (3) (2014)
Yubao Wu, Ruoming Jin, Xiang Zhang
Fast and unified local search for random walk based k-nearest-neighbor query in large graphs. SIGMOD Conference (2014)
Yu Xiang, Wei Wang, Xiang Zhang, Zhenwei Li
Performance research on time-triggered Ethernet based on network calculus. EURASIP J. Wirel. Commun. Netw. 2014 (2014)
Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang
Inside the atoms: ranking on a network of networks. KDD (2014)
Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi, Wei Wang
Graph-regularized dual Lasso for robust eQTL mapping. Bioinform. 30 (12) (2014)
Wei Cheng, Xiaoming Jin, Jian-Tao Sun, Xuemin Lin, Xiang Zhang, Wei Wang
Searching Dimension Incomplete Databases. IEEE Trans. Knowl. Data Eng. 26 (3) (2014)
Zhaojun Zhang, Shunping Huang, Jack Wang, Xiang Zhang, Fernando Pardo-Manuel de Villena, Leonard McMillan, Wei Wang
GeneScissors: a comprehensive approach to detecting and correcting spurious transcriptome inference owing to RNA-seq reads misalignment. Bioinform. 29 (13) (2013)
Wei Cheng, Xiang Zhang, Zhishan Guo, Yubao Wu, Patrick F. Sullivan, Wei Wang
Flexible and robust co-regularized multi-domain graph clustering. KDD (2013)
Wei Cheng, Xiang Zhang, Feng Pan, Wei Wang
Hierarchical co-clustering based on entropy splitting. CIKM (2012)
Wei Cheng, Xiang Zhang, Yubao Wu, Xiaolin Yin, Jing Li, David Heckerman, Wei Wang
Inferring novel associations between SNP sets and gene sets in eQTL study using sparse graphical model. BCB (2012)
Xiang Zhang, Shunping Huang, Zhaojun Zhang, Wei Wang
Chapter 10: Mining Genome-Wide Genetic Markers. PLoS Comput. Biol. 8 (12) (2012)
Mingsheng Long, Jianmin Wang, Guiguang Ding, Wei Cheng, Xiang Zhang, Wei Wang
Dual Transfer Learning. SDM (2012)
Eric Yi Liu, Zhishan Guo, Xiang Zhang, Vladimir Jojic, Wei Wang
Metric Learning from Relative Comparisons by Minimizing Squared Residual. ICDM (2012)
Xiang Zhang, Shunping Huang, Fei Zou, Wei Wang
Tools for efficient epistasis detection in genome-wide association study. Source Code Biol. Medicine 6 (2011)
Wei Cheng, Xiaochuan Ni, Jian-Tao Sun, Xiaoming Jin, Hye-Chung Kum, Xiang Zhang, Wei Wang
Measuring Opinion Relevance in Latent Topic Space. SocialCom/PASSAT (2011)
Xiang Zhang, Shunping Huang, Fei Zou, Wei Wang
TEAM: efficient two-locus epistasis tests in human genome-wide association study. Bioinform. 26 (12) (2010)
Xiang Zhang, Feng Pan, Yuying Xie, Fei Zou, Wei Wang
COE: A General Approach for Efficient Genome-Wide Two-Locus Epistasis Test in Disease Association Study. J. Comput. Biol. 17 (3) (2010)
Xiang Zhang, Feng Pan, Yuying Xie, Fei Zou, Wei Wang
COE: A General Approach for Efficient Genome-Wide Two-Locus Epistasis Test in Disease Association Study. RECOMB (2009)
Xiang Zhang, Fei Zou, Wei Wang
FastChi: An Efficient Algorithm for Analyzing Gene-Gene Interactions. Pacific Symposium on Biocomputing (2009)
Xiang Zhang, Fei Zou, Wei Wang
Efficient algorithms for genome-wide association study. ACM Trans. Knowl. Discov. Data 3 (4) (2009)
Xiang Zhang, Feng Pan, Wei Wang
CARE: Finding Local Linear Correlations in High Dimensional Data. ICDE (2008)
Xiang Zhang, Fei Zou, Wei Wang
Fastanova: an efficient algorithm for genome-wide association study. KDD (2008)
Feng Pan, Xiang Zhang, Wei Wang
A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition. ICDE (2008)
Xiang Zhang, Feng Pan, Wei Wang
REDUS: finding reducible subspaces in high dimensional data. CIKM (2008)
Feng Pan, Xiang Zhang, Wei Wang
CRD: fast co-clustering on large datasets utilizing sampling-based matrix decomposition. SIGMOD Conference (2008)
Xiang Zhang, Feng Pan, Wei Wang, Andrew B. Nobel
Mining non-redundant high order correlations in binary data. Proc. VLDB Endow. 1 (1) (2008)
Xiang Zhang, Wei Wang, Jun Huan
On Demand Phenotype Ranking through Subspace Clustering. SDM (2007)
Xiang Zhang, Wei Wang
An Efficient Algorithm for Mining Coherent Patterns from Heterogeneous Microarrays. SSDBM (2007)
Xiang Zhang, Wei Wang
Mining coherent patterns from heterogeneous microarray data. CIKM (2006)
Emre Karakoç, Z. Meral Özsoyoglu, Süleyman Cenk Sahinalp, Murat Tasan, Xiang Zhang
Novel Approaches to Biomolecular Sequence Indexing. IEEE Data Eng. Bull. 27 (3) (2004)