| 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 | 71 | 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 | 46 | 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 | 16 | 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 | 4 | 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 |
| ELEGANT: Certified defense on the fairness of graph neural networks Y Dong, B Zhang, H Tong, J Li arXiv preprint arXiv:2311.02757, 2023 | 1 | 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 | | 2024 |
| 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 | | |
Jundong LiAssistant Professor, University of Virginia在 virginia.edu 的电子邮件经过验证
