Xiang Zhang

Associate Professor of Information Sciences and Technology

Xiang Zhang

Publication Tags

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Heterogeneous Networks Neural Networks Sleep Collaborative Filtering Automation Pharmaceutical Preparations Electroencephalography Decision Trees Experiments Classifiers Character Recognition Data Structures Drug Target Biomedical Signal Processing Network Model Target Atoms Drug Repositioning Sleep Stages Drugs Drug Genes Sampling Medicine Topology

Most Recent Publications

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, X Zhang, on p. 3947--3953

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, 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence on p. 1-15

Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment

Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang, 2023, ACM Transactions on Intelligent Systems and Technology

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, 2023, on p. 3513-3524

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, 2023, on p. 4534-4542

Towards Faithful and Consistent Explanations for Graph Neural Networks

Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang, 2023, on p. 634-642

Time Series Contrastive Learning with Information-Aware Augmentations

Dongsheng Luo, Wei Cheng, Y. Wang, D. Xu, Jingchao Ni, Haifeng Chen, Xiang Zhang, 2023,

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

Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen, 2023, Proceedings of Machine Learning Research on p. 36157-36173

Unnoticeable Backdoor Attacks on Graph Neural Networks

Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang, 2023, Proceedings of the International Conference on World Wide Web (WWW) on p. 2263-2273

BM-NAS: Bilevel Multimodal Neural Architecture Search

Yihang Yin, Siyu Huang, Xiang Zhang, 2022, on p. 8901-8909

Most-Cited Papers

Drug repositioning by integrating target information through a heterogeneous network model

Wenhui Wang, Sen Yang, Xiang Zhang, Jing Li, 2014, Bioinformatics on p. 2923-2930

Parameterized explainer for graph neural network

Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang, 2020, Advances in Neural Information Processing Systems

GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks

Tianxiang Zhao, Xiang Zhang, Suhang Wang, 2021, on p. 833-841

Robust local community detection: On free rider effect and its elimination

Yubao Wu, Ruoming Jin, Jing Li, Xiang Zhang, 2015, Proceedings of the VLDB Endowment on p. 798-809

Learning to Drop: Robust Graph Neural Network via Topological Denoising

Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang, 2021, on p. 779-787

HyCLASSS: A Hybrid Classifier for Automatic Sleep Stage Scoring

Xiaojin Li, Licong Cui, Shiqiang Tao, Jing Chen, Xiang Zhang, Guo Qiang Zhang, 2018, IEEE Journal of Biomedical and Health Informatics on p. 375-385

InfoGCL: Information-Aware Graph Contrastive Learning

Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang, 2021, on p. 30414-30425

Dual-regularized one-class collaborative filtering

Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw K. Szymanski, Jian Lu, 2014, on p. 759-768

Inside the atoms: Ranking on a network of networks

Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang, 2014, on p. 1356-1365

Spatio-temporal attentive RNN for node classification in temporal attributed graphs

Dongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang, 2019, on p. 3947-3953