Xiang Zhang
Associate Professor of Information Sciences and Technology
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E332 Westgate
University Park, PA - xzz89@psu.edu
- 814-865-7004
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
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
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
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
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
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
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
InfoGCL: Information-Aware Graph Contrastive Learning
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang, 2021, on p. 30414-30425
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
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
Yihang Yin, Qingzhong Wang, Siyu Huang, Haoyi Xiong, Xiang Zhang, 2022, on p. 8892-8900
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
Inside the atoms: Ranking on a network of networks
Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang, 2014, on p. 1356-1365