| SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking X Li, T Ye, C Shan, D Li, M Gao Proceedings of the ACM Web Conference 2023, 143-153, 2023 | 17 | 2023 |
| Learning to Generalize in Heterogeneous Federated Networks C Chen, T Ye, L Wang, M Gao Proceedings of the 31st ACM International Conference on Information …, 2022 | 5 | 2022 |
| Robust Clustered Federated Learning T Ye, S Wei, J Cui, C Chen, Y Fu, M Gao Database Systems for Advanced Applications: 28th International Conference …, 2023 | 3 | 2023 |
| Practical and Light-weight Secure Aggregation for Federated Submodel Learning J Cui, C Chen, T Ye, L Wang arXiv preprint arXiv:2111.01432, 2021 | 3 | 2021 |
| UPFL: Unsupervised Personalized Federated Learning towards New Clients T Ye, C Chen, Y Wang, X Li, M Gao Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024 | 1 | 2024 |
| You Can Backdoor Personalized Federated Learning T Ye, C Chen, Y Wang, X Li, M Gao arXiv preprint arXiv:2307.15971, 2023 | 1 | 2023 |
| Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence S Zheng, T Ye, X Li, M Gao ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| BapFL: You can Backdoor Personalized Federated Learning T Ye, C Chen, Y Wang, X Li, M Gao ACM Transactions on Knowledge Discovery from Data, 2024 | | 2024 |
| Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking X Li, T Ye, C Shan, D Li, M Gao arXiv preprint arXiv:2301.12458, 2023 | | 2023 |
