| FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification N Wu, L Yu, X Yang, KT Cheng, Z Yan MICCAI 2023, 2023 | 17* | 2023 |
| FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity N Wu, L Yu, X Jiang, KT Cheng, Z Yan IJCAI 2023, 2023 | 10 | 2023 |
| FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise N Wu, Z Sun, Z Yan, L Yu Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15943 …, 2024 | 3 | 2024 |
| From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching N Wu, Z Kuang, Z Yan, L Yu IJCAI 2024, 2024 | 2 | 2024 |
| FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness Y Xiang, N Wu, L Yu, X Yang, KT Cheng, Z Yan arXiv preprint arXiv:2407.02280, 2024 | | 2024 |
| FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity Z Sun, N Wu, J Shi, L Yu, X Yang, KT Cheng, Z Yan arXiv preprint arXiv:2406.18995, 2024 | | 2024 |
| DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation Z Wang, X Lin, N Wu, L Yu, KT Cheng, Z Yan Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 5814-5822, 2024 | | 2024 |
Zengqiang YanAssoc. Prof. HUST & Ph.D. HKUST在 connect.ust.hk 的电子邮件经过验证
