| Out-of-distribution generalization of federated learning via implicit invariant relationships Y Guo, K Guo, X Cao, T Wu, Y Chang International Conference on Machine Learning, 11905-11933, 2023 | 27 | 2023 |
| Toward multimodal vessel trajectory prediction by modeling the distribution of modes S Guo, H Zhang, Y Guo Ocean Engineering 282, 115020, 2023 | 15 | 2023 |
| Investigating out-of-distribution generalization of GNNs: An architecture perspective K Guo, H Wen, W Jin, Y Guo, J Tang, Y Chang Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 7 | 2024 |
| OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation Y Guo, C Zhu, H Zhu, T Wu Advances in Neural Information Processing Systems 37, 116838-116869, 2025 | | 2025 |
| Mitigating Update Conflict in Non-IID Federated Learning via Orthogonal Class Gradients S Guo, Y Guo, H Zhang, J Wang IEEE Transactions on Mobile Computing, 2024 | | 2024 |
| Mentored Learning: Improving Generalization and Convergence of Student Learner X Cao, Y Guo, HT Shen, IW Tsang, JT Kwok Journal of Machine Learning Research 25 (325), 1-45, 2024 | | 2024 |
Kai GuoMichigan State UniversityPatvirtintas el. paštas msu.edu