Binchi Zhang

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Citations	160	160
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Jundong LiAssistant Professor, University of VirginiaVerified email at virginia.edu
Yushun DongUniversity of VirginiaVerified email at virginia.edu
Minnan LuoProfessor, Xi'an Jiaotong UniversityVerified email at xjtu.edu.cn
Shangbin FengUniversity of WashingtonVerified email at cs.washington.edu
Shujie YangTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Zhaoxuan TanUniversity of Notre DameVerified email at nd.edu
Xingbo FuUniversity of VirginiaVerified email at virginia.edu
Zihan ChenUniversity of VirginiaVerified email at virginia.edu
Song WangPhD. Student, University of VirginiaVerified email at virginia.edu
Cong ShenAssociate Professor, University of VirginiaVerified email at virginia.edu
Tianhao WangUniversity of VirginiaVerified email at virginia.edu

Binchi Zhang

University of Virginia

Verified email at virginia.edu - Homepage

Trustworthy ML Graph Learning Machine Unlearning Federated Learning


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TwiBot-22: Towards Graph-Based Twitter Bot Detection S Feng, Z Tan, H Wan, N Wang, Z Chen, B Zhang, Q Zheng, W Zhang, ... Advances in Neural Information Processing Systems 35, 35254-35269, 2022	77	2022
Federated graph machine learning: A survey of concepts, techniques, and applications X Fu, B Zhang, Y Dong, C Chen, J Li ACM SIGKDD Explorations Newsletter 24 (2), 32-47, 2022	48	2022
RELIANT: Fair Knowledge Distillation for Graph Neural Networks Y Dong, B Zhang, Y Yuan, N Zou, Q Wang, J Li Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023	18	2023
Adversarial Attacks on Fairness of Graph Neural Networks B Zhang, Y Dong, C Chen, Y Zhu, M Luo, J Li International Conference on Learning Representations (ICLR), 2024	6	2024
Ppsgcn: A privacy-preserving subgraph sampling based distributed gcn training method B Zhang, M Luo, S Feng, Z Liu, J Zhou, Q Zheng arXiv preprint arXiv:2110.12906, 2021	4	2021
AHEAD: A triple attention based heterogeneous graph anomaly detection approach S Yang, B Zhang, S Feng, Z Tan, Q Zheng, J Zhou, M Luo Chinese Intelligent Automation Conference, 542-552, 2023	3	2023
Safety in Graph Machine Learning: Threats and Safeguards S Wang, Y Dong, B Zhang, Z Chen, X Fu, Y He, C Shen, C Zhang, ... arXiv preprint arXiv:2405.11034, 2024	2	2024
ELEGANT: Certified defense on the fairness of graph neural networks Y Dong, B Zhang, H Tong, J Li arXiv preprint arXiv:2311.02757, 2023	2	2023
Towards Certified Unlearning for Deep Neural Networks B Zhang, Y Dong, T Wang, J Li Forty-first International Conference on Machine Learning, 0
Verification of Machine Unlearning is Fragile B Zhang, Z Chen, C Shen, J Li Forty-first International Conference on Machine Learning, 0

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