Novel Approaches to Biomolecular Sequence Indexing. - Emre Karakoç; Z. Meral Özsoyoglu; Süleyman Cenk Sahinalp; Murat Tasan; Xiang Zhang 001 (IEEE Data Eng. Bull., 2004)

Mining coherent patterns from heterogeneous microarray data. - Xiang Zhang 001; Wei Wang 010 (CIKM, 2006)

On Demand Phenotype Ranking through Subspace Clustering. - Xiang Zhang 001; Wei Wang 010; Jun Huan (SDM, 2007)

An Efficient Algorithm for Mining Coherent Patterns from Heterogeneous Microarrays. - Xiang Zhang 001; Wei Wang 010 (SSDBM, 2007)

REDUS: finding reducible subspaces in high dimensional data. - Xiang Zhang 001; Feng Pan 001; Wei Wang 010 (CIKM, 2008)

A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition. - Feng Pan 001; Xiang Zhang 001; Wei Wang 010 (ICDE, 2008)

CARE: Finding Local Linear Correlations in High Dimensional Data. - Xiang Zhang 001; Feng Pan 001; Wei Wang 010 (ICDE, 2008)

Fastanova: an efficient algorithm for genome-wide association study. - Xiang Zhang 001; Fei Zou; Wei Wang 010 (KDD, 2008)

CRD: fast co-clustering on large datasets utilizing sampling-based matrix decomposition. - Feng Pan 001; Xiang Zhang 001; Wei Wang 010 (SIGMOD Conference, 2008)

Mining non-redundant high order correlations in binary data. - Xiang Zhang 001; Feng Pan 001; Wei Wang 010; Andrew B. Nobel (Proc. VLDB Endow., 2008)

FastChi: An Efficient Algorithm for Analyzing Gene-Gene Interactions. - Xiang Zhang 001; Fei Zou; Wei Wang 010 (Pacific Symposium on Biocomputing, 2009)

Efficient algorithms for genome-wide association study. - Xiang Zhang 001; Fei Zou; Wei Wang 010 (ACM Trans. Knowl. Discov. Data, 2009)

Finding High-Order Correlations in High-Dimensional Biological Data. - Xiang Zhang 001; Feng Pan 001; Wei Wang 010 (Link Mining, 2010)

TEAM: efficient two-locus epistasis tests in human genome-wide association study. - Xiang Zhang 001; Shunping Huang; Fei Zou; Wei Wang 010 (Bioinform., 2010)

COE: A General Approach for Efficient Genome-Wide Two-Locus Epistasis Test in Disease Association Study. - Xiang Zhang 001; Feng Pan 001; Yuying Xie; Fei Zou; Wei Wang 010 (J. Comput. Biol., 2010)

Measuring Opinion Relevance in Latent Topic Space. - Wei Cheng 002; Xiaochuan Ni 001; Jian-Tao Sun; Xiaoming Jin; Hye-Chung Kum; Xiang Zhang 001; Wei Wang 010 (SocialCom/PASSAT, 2011)

Tools for efficient epistasis detection in genome-wide association study. - Xiang Zhang 001; Shunping Huang; Fei Zou; Wei Wang 010 (Source Code Biol. Medicine, 2011)

Inferring novel associations between SNP sets and gene sets in eQTL study using sparse graphical model. - Wei Cheng 002; Xiang Zhang 001; Yubao Wu; Xiaolin Yin; Jing Li 002; David Heckerman; Wei Wang 010 (BCB, 2012)

Hierarchical co-clustering based on entropy splitting. - Wei Cheng 002; Xiang Zhang 001; Feng Pan 001; Wei Wang 010 (CIKM, 2012)

Metric Learning from Relative Comparisons by Minimizing Squared Residual. - Eric Yi Liu; Zhishan Guo; Xiang Zhang 001; Vladimir Jojic; Wei Wang 010 (ICDM, 2012)

Dual Transfer Learning. - Mingsheng Long; Jianmin Wang 001; Guiguang Ding; Wei Cheng 002; Xiang Zhang 001; Wei Wang 010 (SDM, 2012)

Chapter 10: Mining Genome-Wide Genetic Markers. - Xiang Zhang 001; Shunping Huang; Zhaojun Zhang; Wei Wang 010 (PLoS Comput. Biol., 2012)

Creation and Comparative Analysis of a Novel Disease Phenotype Network Based on Clinical Manifestation. - Yang Chen 022; Xiang Zhang 001; Guoqiang Zhang 001; Rong Xu (AMIA, 2013)

Flexible and robust co-regularized multi-domain graph clustering. - Wei Cheng 002; Xiang Zhang 001; Zhishan Guo; Yubao Wu; Patrick F. Sullivan; Wei Wang 010 (KDD, 2013)

GeneScissors: a comprehensive approach to detecting and correcting spurious transcriptome inference owing to RNA-seq reads misalignment. - Zhaojun Zhang; Shunping Huang; Jack Wang 004; Xiang Zhang 001; Fernando Pardo-Manuel de Villena; Leonard McMillan; Wei Wang 010 (Bioinform., 2013)

Dual-Regularized One-Class Collaborative Filtering. - Yuan Yao 001; Hanghang Tong; Guo Yan; Feng Xu 007; Xiang Zhang 001; Boleslaw K. Szymanski; Jian Lu 001 (CIKM, 2014)

Inside the atoms: ranking on a network of networks. - Jingchao Ni; Hanghang Tong; Wei Fan 001; Xiang Zhang 001 (KDD, 2014)

Fast and unified local search for random walk based k-nearest-neighbor query in large graphs. - Yubao Wu; Ruoming Jin; Xiang Zhang 001 (SIGMOD Conference, 2014)

Graph-regularized dual Lasso for robust eQTL mapping. - Wei Cheng 002; Xiang Zhang 001; Zhishan Guo; Yu Shi 002; Wei Wang 010 (Bioinform., 2014)

Drug repositioning by integrating target information through a heterogeneous network model. - Wenhui Wang 003; Sen Yang; Xiang Zhang 001; Jing Li 002 (Bioinform., 2014)

Performance research on time-triggered Ethernet based on network calculus. - Yu Xiang 002; Wei Wang 010; Xiang Zhang 001; Zhenwei Li (EURASIP J. Wirel. Commun. Netw., 2014)

Searching Dimension Incomplete Databases. - Wei Cheng 002; Xiaoming Jin; Jian-Tao Sun; Xuemin Lin 001; Xiang Zhang 001; Wei Wang 010 (IEEE Trans. Knowl. Data Eng., 2014)

Learning Phenotype Structure Using Sequence Model. - Yuhai Zhao; Guoren Wang; Xiang Zhang 001; Jeffrey Xu Yu; Zhanghui Wang (IEEE Trans. Knowl. Data Eng., 2014)

Finding dense and connected subgraphs in dual networks. - Yubao Wu; Ruoming Jin; Xiaofeng Zhu 003; Xiang Zhang 001 (ICDE, 2015)

Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment. - Rui Liu 013; Wei Cheng 002; Hanghang Tong; Wei Wang 010; Xiang Zhang 001 (ICDM, 2015)

Flexible and Robust Multi-Network Clustering. - Jingchao Ni; Hanghang Tong; Wei Fan 001; Xiang Zhang 001 (KDD, 2015)

Fast and robust group-wise eQTL mapping using sparse graphical models. - Wei Cheng 002; Shi Yu; Xiang Zhang 001; Wei Wang 010 (BMC Bioinform., 2015)

Comparative analysis of a novel disease phenotype network based on clinical manifestations. - Yang Chen 022; Xiang Zhang 001; Guo-Qiang Zhang 001; Rong Xu (J. Biomed. Informatics, 2015)

Robust Local Community Detection: On Free Rider Effect and Its Elimination. - Yubao Wu; Ruoming Jin; Jing Li 002; Xiang Zhang 001 (Proc. VLDB Endow., 2015)

Self-Grouping Multi-network Clustering. - Jingchao Ni; Wei Cheng 002; Wei Fan 001; Xiang Zhang 001 (ICDM, 2016)

Sparse regression models for unraveling group and individual associations in eQTL mapping. - Wei Cheng 002; Yu Shi 002; Xiang Zhang 001; Wei Wang 010 (BMC Bioinform., 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 001 (BMC Bioinform., 2016)

HICC: an entropy splitting-based framework for hierarchical co-clustering. - Wei Cheng 002; Xiang Zhang 001; Feng Pan 001; Wei Wang 010 (Knowl. Inf. Syst., 2016)

Remember Where You Came From: On The Second-Order Random Walk Based Proximity Measures. - Yubao Wu; Yuchen Bian; Xiang Zhang 001 (Proc. VLDB Endow., 2016)

CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering. - Wei Cheng 002; Zhishan Guo; Xiang Zhang 001; Wei Wang 010 (ACM Trans. Knowl. Discov. Data, 2016)

Mining Dual Networks: Models, Algorithms, and Applications. - Yubao Wu; Xiaofeng Zhu 003; Li Li; Wei Fan 001; Ruoming Jin; Xiang Zhang 001 (ACM Trans. Knowl. Discov. Data, 2016)

Efficient and Exact Local Search for Random Walk Based Top-K Proximity Query in Large Graphs. - Yubao Wu; Ruoming Jin; Xiang Zhang 001 (IEEE Trans. Knowl. Data Eng., 2016)

Cross-Network Clustering and Cluster Ranking for Medical Diagnosis. - Jingchao Ni; Hongliang Fei; Wei Fan 001; Xiang Zhang 001 (ICDE, 2017)

Many Heads are Better than One: Local Community Detection by the Multi-walker Chain. - Yuchen Bian; Jingchao Ni; Wei Cheng 002; Xiang Zhang 001 (ICDM, 2017)

Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems. - Jingchao Ni; Wei Cheng 002; Kai Zhang 001; Dongjin Song; Tan Yan; Haifeng Chen; Xiang Zhang 001 (ICDM, 2017)

Automated Medical Diagnosis by Ranking Clusters Across the Symptom-Disease Network. - Jingchao Ni; Hongliang Fei; Wei Fan 001; Xiang Zhang 001 (ICDM, 2017)

Finding susceptible and protective interaction patterns in large-scale genetic association study. - Yuan Li 008; Yuhai Zhao; Guoren Wang; Xiaofeng Zhu 003; Xiang Zhang 001; Zhanghui Wang; Jun Pang 001 (Frontiers Comput. Sci., 2017)

Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations. - Wei Cheng 002; Jingchao Ni; Kai Zhang 001; Haifeng Chen; Guofei Jiang; Yu Shi 002; Xiang Zhang 001; Wei Wang 010 (ACM Trans. Knowl. Discov. Data, 2017)

On Multi-query Local Community Detection. - Yuchen Bian; Yaowei Yan; Wei Cheng 002; Wei Wang 010; Dongsheng Luo; Xiang Zhang 001 (ICDM, 2018)

Local Graph Clustering by Multi-network Random Walk with Restart. - Yaowei Yan; Dongsheng Luo; Jingchao Ni; Hongliang Fei; Wei Fan 001; Xiong Bill Yu; John Yen; Xiang Zhang 001 (PAKDD (3), 2018)

Co-Regularized Deep Multi-Network Embedding. - Jingchao Ni; Shiyu Chang; Xiao Liu 039; Wei Cheng 002; Haifeng Chen; Dongkuan Xu; Xiang Zhang 001 (WWW, 2018)

Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification. - Zheng Li 018; Ying Wei 001; Yu Zhang 006; Xiang Zhang 001; Xin Li 056; Qiang Yang 001 (CoRR, 2018)

HyCLASSS: A Hybrid Classifier for Automatic Sleep Stage Scoring. - Xiaojin Li; Licong Cui; Shiqiang Tao; Jing Chen 002; Xiang Zhang 001; Guo-Qiang Zhang 001 (IEEE J. Biomed. Health Informatics, 2018)

ComClus: A Self-Grouping Framework for Multi-Network Clustering. - Jingchao Ni; Wei Cheng 002; Wei Fan 001; Xiang Zhang 001 (IEEE Trans. Knowl. Data Eng., 2018)

Second-order random walk-based proximity measures in graph analysis: formulations and algorithms. - Yubao Wu; Xiang Zhang 001; Yuchen Bian; Zhipeng Cai 001; Xiang Lian 001; Xueting Liao; Fengpan Zhao (VLDB J., 2018)

Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification. - Zheng Li 018; Ying Wei 001; Yu Zhang 006; Xiang Zhang 001; Xin Li 056 (AAAI, 2019)

On Generating Dominators of Customer Preferences. - Jiang Bian 003; Weibo Wang 008; Xiang Zhang 001; Wei Wang 010; Arthur Huang; Zhishan Guo (IEEE BigData, 2019)

Adaptive Neural Network for Node Classification in Dynamic Networks. - Dongkuan Xu; Wei Cheng 002; Dongsheng Luo; Yameng Gu; Xiao Liu 039; Jingchao Ni; Bo Zong; Haifeng Chen; Xiang Zhang 001 (ICDM, 2019)

Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs. - Dongkuan Xu; Wei Cheng 002; Dongsheng Luo; Xiao Liu 039; Xiang Zhang 001 (IJCAI, 2019)

Deep Co-Clustering. - Dongkuan Xu; Wei Cheng 002; Bo Zong; Jingchao Ni; Dongjin Song; Wenchao Yu; Yuncong Chen; Haifeng Chen; Xiang Zhang 001 (SDM, 2019)

Constrained Local Graph Clustering by Colored Random Walk. - Yaowei Yan; Yuchen Bian; Dongsheng Luo; Dongwon Lee 001; Xiang Zhang 001 (WWW, 2019)

Transfer Hierarchical Attention Network for Generative Dialog System. - Xiang Zhang 001; Qiang Yang 001 (Int. J. Autom. Comput., 2019)

The multi-walker chain and its application in local community detection. - Yuchen Bian; Jingchao Ni; Wei Cheng 002; Xiang Zhang 001 (Knowl. Inf. Syst., 2019)

Dual-regularized one-class collaborative filtering with implicit feedback. - Yuan Yao 001; Hanghang Tong; Guo Yan; Feng Xu 007; Xiang Zhang 001; Boleslaw K. Szymanski; Jian Lu 001 (World Wide Web, 2019)

Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series. - Dongkuan Xu; Wei Cheng 002; Bo Zong; Dongjin Song; Jingchao Ni; Wenchao Yu; Yanchi Liu; Haifeng Chen; Xiang Zhang 001 (AAAI, 2020)

Semi-Supervised Graph-to-Graph Translation. - Tianxiang Zhao 001; Xianfeng Tang; Xiang Zhang 001; Suhang Wang (CIKM, 2020)

Rethinking Local Community Detection: Query Nodes Replacement. - Yuchen Bian; Jun Huan; Dejing Dou; Xiang Zhang 001 (ICDM, 2020)

Local Community Detection in Multiple Networks. - Dongsheng Luo; Yuchen Bian; Yaowei Yan; Xiao Liu 039; Jun Huan; Xiang Zhang 001 (KDD, 2020)

Parameterized Explainer for Graph Neural Network. - Dongsheng Luo; Wei Cheng 002; Dongkuan Xu; Wenchao Yu; Bo Zong; Haifeng Chen; Xiang Zhang 001 (NeurIPS, 2020)

Deep Multi-Graph Clustering via Attentive Cross-Graph Association. - Dongsheng Luo; Jingchao Ni; Suhang Wang; Yuchen Bian; Xiong Bill Yu; Xiang Zhang 001 (WSDM, 2020)

Attentive Social Recommendation: Towards User And Item Diversities. - Dongsheng Luo; Yuchen Bian; Xiang Zhang 001; Jun Huan (CoRR, 2020)

Memory-based random walk for multi-query local community detection. - Yuchen Bian; Dongsheng Luo; Yaowei Yan; Wei Cheng 002; Wei Wang 010; Xiang Zhang 001 (Knowl. Inf. Syst., 2020)

Correction to: Memory-based random walk for multi-query local community detection. - Yuchen Bian; Dongsheng Luo; Yaowei Yan; Wei Cheng 002; Wei Wang 010; Xiang Zhang 001 (Knowl. Inf. Syst., 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 001; Xiao Liu 039 (NeuroImage, 2020)

Multi-Task Recurrent Modular Networks. - Dongkuan Xu; Wei Cheng 002; Xin Dong 010; Bo Zong; Wenchao Yu; Jingchao Ni; Dongjin Song; Xuchao Zhang; Haifeng Chen; Xiang Zhang 001 (AAAI, 2021)

Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling. - Dongkuan Xu; Junjie Liang; Wei Cheng 002; Hua Wei 001; Haifeng Chen; Xiang Zhang 001 (AAAI, 2021)

A Collective Approach to Scholar Name Disambiguation (Extended Abstract). - Dongsheng Luo; Shuai Ma 001; Yaowei Yan; Chunming Hu; Xiang Zhang 001; Jinpeng Huai (ICDE, 2021)

InfoGCL: Information-Aware Graph Contrastive Learning. - Dongkuan Xu; Wei Cheng 002; Dongsheng Luo; Haifeng Chen; Xiang Zhang 001 (NeurIPS, 2021)

Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection. - Dongkuan Xu; Wei Cheng 002; Jingchao Ni; Dongsheng Luo; Masanao Natsumeda; Dongjin Song; Bo Zong; Haifeng Chen; Xiang Zhang 001 (SDM, 2021)

Learning to Drop: Robust Graph Neural Network via Topological Denoising. - Dongsheng Luo; Wei Cheng 002; Wenchao Yu; Bo Zong; Jingchao Ni; Haifeng Chen; Xiang Zhang 001 (WSDM, 2021)

GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks. - Tianxiang Zhao 001; Xiang Zhang 001; Suhang Wang (WSDM, 2021)

Unsupervised Document Embedding via Contrastive Augmentation. - Dongsheng Luo; Wei Cheng 002; Jingchao Ni; Wenchao Yu; Xuchao Zhang; Bo Zong; Yanchi Liu; Zhengzhang Chen; Dongjin Song; Haifeng Chen; Xiang Zhang 001 (CoRR, 2021)

BM-NAS: Bilevel Multimodal Neural Architecture Search. - Yihang Yin; Siyu Huang; Xiang Zhang 001; Dejing Dou (CoRR, 2021)

Correction to: Transfer Hierarchical Attention Network for Generative Dialog System. - Xiang Zhang 001; Qiang Yang 001 (Int. J. Autom. Comput., 2021)

Personalized Federated Learning via Heterogeneous Modular Networks. - Tianchun Wang; Wei Cheng 002; Dongsheng Luo; Wenchao Yu; Jingchao Ni; Liang Tong; Haifeng Chen; Xiang Zhang 001 (ICDM, 2022)

HP-GMN: Graph Memory Networks for Heterophilous Graphs. - Junjie Xu; Enyan Dai; Xiang Zhang 001; Suhang Wang (ICDM, 2022)

TopoImb: Toward Topology-Level Imbalance in Learning From Graphs. - Tianxiang Zhao 001; Dongsheng Luo; Xiang Zhang 001; Suhang Wang (LoG, 2022)

Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. - Dongkuan Xu; Subhabrata Mukherjee; Xiaodong Liu 003; Debadeepta Dey; Wenhui Wang 003; Xiang Zhang 001; Ahmed Hassan Awadallah; Jianfeng Gao 001 (NeurIPS, 2022)

Joint Optimization of Ad Ranking and Creative Selection. - Kaiyi Lin; Xiang Zhang 001; Feng Li; Pengjie Wang 002; Qingqing Long; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (SIGIR, 2022)

Exploring Edge Disentanglement for Node Classification. - Tianxiang Zhao 001; Xiang Zhang 001; Suhang Wang (WWW, 2022)

AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. - Dongkuan Xu; Subhabrata Mukherjee; Xiaodong Liu 003; Debadeepta Dey; Wenhui Wang 003; Xiang Zhang 001; Ahmed Hassan Awadallah; Jianfeng Gao 001 (CoRR, 2022)

On Consistency in Graph Neural Network Interpretation. - Tianxiang Zhao 001; Dongsheng Luo; Xiang Zhang 001; Suhang Wang (CoRR, 2022)

Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks. - Tianxiang Zhao 001; Xiang Zhang 001; Suhang Wang (CoRR, 2022)

Link Prediction on Heterophilic Graphs via Disentangled Representation Learning. - Shijie Zhou; Zhimeng Guo; Charu C. Aggarwal; Xiang Zhang 001; Suhang Wang (CoRR, 2022)

A Collective Approach to Scholar Name Disambiguation. - Dongsheng Luo; Shuai Ma 001; Yaowei Yan; Chunming Hu; Xiang Zhang 001; Jinpeng Huai (IEEE Trans. Knowl. Data Eng., 2022)

Time Series Contrastive Learning with Information-Aware Augmentations. - Dongsheng Luo; Wei Cheng 002; Yingheng Wang; Dongkuan Xu; Jingchao Ni; Wenchao Yu; Xuchao Zhang; Yanchi Liu; Yuncong Chen; Haifeng Chen; Xiang Zhang 001 (AAAI, 2023)

GC-Flow: A Graph-Based Flow Network for Effective Clustering. - Tianchun Wang; Farzaneh Mirzazadeh; Xiang Zhang 001; Jie Chen (ICML, 2023)

Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. - Tianxiang Zhao 001; Wenchao Yu; Suhang Wang; Lu Wang 029; Xiang Zhang 001; Yuncong Chen; Yanchi Liu; Wei Cheng 002; Haifeng Chen (KDD, 2023)

Certifiably Robust Graph Contrastive Learning. - Minhua Lin; Teng Xiao; Enyan Dai; Xiang Zhang 001; Suhang Wang (NeurIPS, 2023)

Towards Faithful and Consistent Explanations for Graph Neural Networks. - Tianxiang Zhao 001; Dongsheng Luo; Xiang Zhang 001; Suhang Wang (WSDM, 2023)

Unnoticeable Backdoor Attacks on Graph Neural Networks. - Enyan Dai; Minhua Lin; Xiang Zhang 001; Suhang Wang (WWW, 2023)

Dynamic DAG Discovery for Interpretable Imitation Learning. - Tianxiang Zhao 001; Wenchao Yu; Suhang Wang; Lu Wang 029; Xiang Zhang 001; Yuncong Chen; Yanchi Liu; Wei Cheng 002; Haifeng Chen (CoRR, 2023)

Learning Graph Filters for Spectral GNNs via Newton Interpolation. - Junjie Xu; Enyan Dai; Dongsheng Luo; Xiang Zhang 001; Suhang Wang (CoRR, 2023)

DyExplainer: Explainable Dynamic Graph Neural Networks. - Tianchun Wang; Dongsheng Luo; Wei Cheng 002; Haifeng Chen; Xiang Zhang 001 (CoRR, 2023)

On the Opportunities of Green Computing: A Survey. - You Zhou; Xiujing Lin; Xiang Zhang 001; Maolin Wang 001; Gangwei Jiang; Huakang Lu; Yupeng Wu; Kai Zhang 038; Zhe Yang; Kehang Wang; Yongduo Sui; Fengwei Jia; et al. (CoRR, 2023)

Random Walk on Multiple Networks. - Dongsheng Luo; Yuchen Bian; Yaowei Yan; Xiong Bill Yu; Jun Huan; Xiao Liu 039; Xiang Zhang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment. - Tianxiang Zhao 001; Dongsheng Luo; Xiang Zhang 001; Suhang Wang (ACM Trans. Intell. Syst. Technol., 2023)

Shape-aware Graph Spectral Learning. - Junjie Xu; Enyan Dai; Dongsheng Luo; Xiang Zhang 001; Suhang Wang (CIKM, 2024)

Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling. - Tianxiang Zhao 001; Dongsheng Luo; Xiang Zhang 001; Suhang Wang (KDD, 2024)

Universal Prompt Optimizer for Safe Text-to-Image Generation. - Zongyu Wu 001; Hongcheng Gao; Yueze Wang; Xiang Zhang 001; Suhang Wang (NAACL-HLT, 2024)

Interpretable Imitation Learning with Dynamic Causal Relations. - Tianxiang Zhao 001; Wenchao Yu; Suhang Wang; Lu Wang 029; Xiang Zhang 001; Yuncong Chen; Yanchi Liu; Wei Cheng 002; Haifeng Chen (WSDM, 2024)

Disambiguated Node Classification with Graph Neural Networks. - Tianxiang Zhao 001; Xiang Zhang 001; Suhang Wang (WWW, 2024)

LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning. - Junjie Xu; Zongyu Wu 001; Minhua Lin; Xiang Zhang 001; 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 006; Michal Kosinski; Xiang Zhang 001; Yun Fu 001; Sheng Li 001 (CoRR, 2024)

Trojan Prompt Attacks on Graph Neural Networks. - Minhua Lin; Zhiwei Zhang; Enyan Dai; Zongyu Wu 001; Yilong Wang 001; Xiang Zhang 001; Suhang Wang (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 001; Junxiang Wang; Xiang Zhang 001; Suhang Wang; Haifeng Chen (CoRR, 2024)

Towards Inductive and Efficient Explanations for Graph Neural Networks. - Dongsheng Luo; Tianxiang Zhao 001; Wei Cheng 002; Dongkuan Xu; Feng Han; Wenchao Yu; Xiao Liu 039; Haifeng Chen; Xiang Zhang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Imbalanced Node Classification With Synthetic Over-Sampling. - Tianxiang Zhao 001; Xiang Zhang 001; Suhang Wang (IEEE Trans. Knowl. Data Eng., 2024)

Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors. - Tianchun Wang; Yuanzhou Chen; Zichuan Liu; Zhanwen Chen; Haifeng Chen; Xiang Zhang 001; Wei Cheng 002 (ICLR, 2025)

Stealing Training Graphs from Graph Neural Networks. - Minhua Lin; Enyan Dai; Junjie Xu; Jinyuan Jia 001; Xiang Zhang 001; Suhang Wang (KDD (1), 2025)

DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions. - Tianchun Wang; Dongsheng Luo; Wei Cheng 002; Haifeng Chen; Xiang Zhang 001 (ACM Trans. Knowl. Discov. Data, 2025)

MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling. - Bencheng Yan; Si Chen 010; Shichang Jia; Jianyu Liu; Yueran Liu; Chenghan Fu; Wanxian Guan; Hui Zhao; Xiang Zhang 001; Kai Zhang 001; Wenbo Su; Pengjie Wang 002; et al. (CoRR, 2025)

Diversified Sampling Improves Scaling LLM inference. - Tianchun Wang; Zichuan Liu; Yuanzhou Chen; Jonathan Light; Haifeng Chen; Xiang Zhang 001; Wei Cheng 002 (CoRR, 2025)

LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models. - Zongyu Wu 001; Yuwei Niu; Hongcheng Gao; Minhua Lin; Zhiwei Zhang; Zhifang Zhang; Qi Shi; Yilong Wang 001; Sike Fu; Junjie Xu; Junjie Ao; Enyan Dai; et al. (CoRR, 2025)

How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities. - Minhua Lin; Hui Liu 003; Xianfeng Tang; Jingying Zeng; Zhenwei Dai; Chen Luo 003; Zheng Li 018; Xiang Zhang 001; Qi He 002; Suhang Wang (CoRR, 2025)

GPR: Empowering Generation with Graph-Pretrained Retriever. - Xiaochen Wang 002; Zongyu Wu 001; Yuan Zhong 002; Xiang Zhang 001; Suhang Wang; Fenglong Ma (CoRR, 2025)

Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models. - Zongyu Wu 001; Minhua Lin; Zhiwei Zhang; Fali Wang; Xianren Zhang; Xiang Zhang 001; Suhang Wang (CoRR, 2025)

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules. - Junjie Xu; Jiahao Zhang; Mangal Prakash; Xiang Zhang 001; Suhang Wang (CoRR, 2025)

Creative4U: MLLMs-based Advertising Creative Image Selector with Comparative Reasoning. - Yukang Lin; Xiang Zhang 001; Shichang Jia; Bowen Wan; Chenghan Fu; Xudong Ren; Yueran Liu; Wanxian Guan; Pengjie Wang 002; Jian Xu 015; Bo Zheng 007; Baolin Liu 001 (CoRR, 2025)