| Bold but cautious: Unlocking the potential of personalized federated learning through cautiously aggressive collaboration X Wu, X Liu, J Niu, G Zhu, S Tang ICCV 2023, 19375-19384, 2023 | 22 | 2023 |
| pfedgf: Enabling personalized federated learning via gradient fusion X Wu, J Niu, X Liu, T Ren, Z Huang, Z Li IPDPS 2022, 639-649, 2022 | 14 | 2022 |
| FedLoRA: When Personalized Federated Learning Meets Low-Rank Adaptation X Wu, X Liu, J Niu, H Wang, S Tang, G Zhu | 8 | 2024 |
| Marvel: Raster gray-level manga vectorization via primitive-wise deep reinforcement learning H Su, X Liu, J Niu, J Cui, J Wan, X Wu, N Wang IEEE TCSVT, 2023 | 8 | 2023 |
| Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decomposition X Wu, X Liu, J Niu, H Wang, S Tang, G Zhu, H Su ACM MM 2024, 2024 | 7 | 2024 |
| Tackling Noisy Labels With Network Parameter Additive Decomposition J Wang, X Xia, L Lan, X Wu, J Yu, W Yang, B Han, T Liu IEEE TPAMI, 2024 | 7 | 2024 |
| Channelfed: Enabling personalized federated learning via localized channel attention K Zheng, X Liu, G Zhu, X Wu, J Niu GLOBECOM 2022, 2987-2992, 2022 | 6 | 2022 |
| The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning X Wu, X Liu, J Niu, G Zhu, S Tang, X Li, J Cao arXiv preprint arXiv:2407.15464, 2024 | 3 | 2024 |
| Continuous Review and Timely Correction: Enhancing the Resistance to Noisy Labels via Self-Not-True Distillation J Wang, D Huang, X Wu, Y Tang, L Lan ICASSP 2024, 5700-5704, 2024 | 3 | 2024 |
| Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation X Wu, J Niu, X Liu, M Shi, G Zhu, S Tang arXiv preprint arXiv:2407.16139, 2024 | 2 | 2024 |
| Take Your Pick: Enabling Effective Personalized Federated Learning within Low-dimensional Feature Space G Zhu, X Liu, S Tang, J Niu, X Wu, J Shen arXiv preprint arXiv:2307.13995, 2023 | 2 | 2023 |
| Dualfed: enjoying both generalization and personalization in federated learning via hierachical representations G Zhu, X Liu, J Niu, S Tang, X Wu, J Zhang ACM MM 2024, 2024 | 1 | 2024 |
| Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning G Zhu, X Liu, X Wu, S Tang, C Tang, J Niu, H Su IJCAI 2024, 2024 | 1 | 2024 |
| BeyondVision: an EMG-driven micro hand gesture recognition based on dynamic segmentation N Wang, J Niu, X Liu, D Yu, G Zhu, X Wu, M Xu, H Su Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | | 2024 |
| 3Deformer: A Common Framework for Image-Guided Mesh Deformation H Su, X Liu, J Niu, J Wan, X Wu arXiv preprint arXiv:2307.09892, 2023 | | 2023 |
Jianwei NiuProfessor of Computer Science, Beihang Universitybuaa.edu.cn의 이메일 확인됨