Xiang Zhang

Associate Professor of Information Sciences and Technology

Xiang Zhang

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

Shape-aware Graph Spectral Learning

Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang, 2024, on p. 2692-2701

Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling

Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang, 2024, on p. 4479-4489

Disambiguated Node Classification with Graph Neural Networks

Tianxiang Zhao, Xiang Zhang, Suhang Wang, 2024, on p. 914-923

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, 2024, on p. 967-975

Imbalanced Node Classification With Synthetic Over-Sampling

Tianxiang Zhao, Xiang Zhang, Suhang Wang, 2024, IEEE Transactions on Knowledge and Data Engineering on p. 8515-8528

Universal Prompt Optimizer for Safe Text-to-Image Generation

Zongyu Wu, Hongcheng Gao, Yunze Wang, Xiang Zhang, Suhang Wang, 2024, on p. 6340–6354

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

DyExplainer: Explainable Dynamic Graph Neural Networks

Tianchun Wang, Dongsheng Luo, Wei Cheng, Haifeng Chen, Xiang Zhang, 2024,

Universal Prompt Optimizer for Safe Text-to-Image Generation WARNING: This paper contains offensive images generated by models

Zongyu Wu, Hongcheng Gao, Yueze Wang, Xiang Zhang, Suhang Wang, 2024, on p. 6340-6354

Most-Cited Papers

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

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

InfoGCL: Information-Aware Graph Contrastive Learning

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

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

AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators

Yihang Yin, Qingzhong Wang, Siyu Huang, Haoyi Xiong, Xiang Zhang, 2022, on p. 8892-8900

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

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

Co-regularized deep multi-network embedding

jingchao Ni, Shiyu Chang, Xiao Liu, Wei Cheng, Haifeng Chen, Dongkuan Xu, Xiang Zhang, 2018, on p. 469-478

Flexible and robust multi-network clustering

Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang, 2015, on p. 835-844