| Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning S Su, M Yang, B Li, X Xue Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 15117 …, 2024 | 21* | 2024 |
| One-shot federated learning without server-side training S Su, B Li, X Xue Neural Networks 164, 203-215, 2023 | 15 | 2023 |
| Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models M Yang, S Su, B Li, X Xue Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16325 …, 2024 | 9* | 2024 |
| Cross-domain federated object detection S Su, B Li, C Zhang, M Yang, X Xue 2023 IEEE International Conference on Multimedia and Expo (ICME), 1469-1474, 2023 | 7 | 2023 |
| Privacy-preserving collaborative chinese text recognition with federated learning S Su, H Yu, B Li, X Xue arXiv preprint arXiv 2305, 2023 | 3 | 2023 |
| FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients S Su, B Li, X Xue ECCV2024, 2024 | 1 | 2024 |
| One-Shot Federated Learning with Classifier-Guided Diffusion Models M Yang, S Su, B Li, X Xue arXiv preprint arXiv:2311.08870, 2023 | 1 | 2023 |
| Domain Discrepancy Aware Distillation for Model Aggregation in Federated Learning S Su, B Li, X Xue arXiv preprint arXiv:2210.02190, 2022 | 1 | 2022 |
| Collaborative Chinese Text Recognition with Personalized Federated Learning S Su, H Yu, B Li, X Xue arXiv preprint arXiv:2305.05602, 2023 | | 2023 |
Bin LiFudan University在 fudan.edu.cn 的电子邮件经过验证
