| Promptfl: Let federated participants cooperatively learn prompts instead of models-federated learning in age of foundation model T Guo, S Guo, J Wang, X Tang, W Xu IEEE Transactions on Mobile Computing, 2023 | 116 | 2023 |
| Personalized Federated Learning with Contextualized Generalization X Tang, S Guo, J Guo IJCAI-22, Proceedings of the Thirty-First International Joint Conference on …, 2022 | 48* | 2022 |
| Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients X Tang, S Guo, J ZHANG, J Guo The Twelfth International Conference on Learning Representations (ICLR 2024), 2023 | 9 | 2023 |
| Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization X Tang, S Guo, J Guo, J Zhang, Y Yu Forty-first International Conference on Machine Learning (ICML 2024), 0 | 6* | |
| Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models J Zhang, X Ma, S Guo, P Li, W Xu, X Tang, Z Hong Forty-first International Conference on Machine Learning (ICML 2024), 0 | 1* | |
Song GuoFCAE, FIEEE, Hong Kong University of Science and TechnologyВерификована је имејл адреса на cse.ust.hk