| Learn from others and be yourself in heterogeneous federated learning W Huang, M Ye, B Du CVPR, 10143-10153, 2022 | 163 | 2022 |
| Rethinking Federated Learning with Domain Shift: A Prototype View W Huang, M Ye, Z Shi, L He, B Du CVPR, 16312-16322, 2023 | 65* | 2023 |
| Few-shot model agnostic federated learning W Huang, M Ye, B Du, X Gao ACM MM, 7309-7316, 2022 | 30 | 2022 |
| Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning W Huang, M Ye, Z Shi, B Du IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 | 24 | 2023 |
| Federated Graph Semantic and Structural Learning W Huang, G Wan, M Ye, B Du IJCAI, 2023 | 20 | 2023 |
| Dynamic Personalized Federated Learning with Adaptive Differential Privacy X Yang, W Huang, M Ye NeurIPS, 2023 | 11 | 2023 |
| Federated Graph Learning under Domain Shift with Generalizable Prototypes G Wan, W Huang, M Ye AAAI 38 (14), 15429-15437, 2024 | 8 | 2024 |
| Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark W Huang, M Ye, Z Shi, G Wan, H Li, B Du, Q Yang IEEE TPAMI, 2024 | 6 | 2024 |
| Federated Learning with Long-Tailed Data via Representation Unification and Classifier Rectification W Huang, Y Liu, M Ye, J Chen, B Du IEEE TIFS, 2024 | 3 | 2024 |
| Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning W Huang, Z Shi, M Ye, H Li, B Du ICML, 2024 | 1* | 2024 |
| S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning G Wan, Y Tian, W Huang, NV Chawla, M Ye ICML, 2024 | 1* | 2024 |
| Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity Y Chen, W Huang, M Ye CVPR 2024, 2024 | 1 | 2024 |
| FedAS: Bridging Inconsistency in Personalized Federated Learning X Yang, W Huang, M Ye CVPR, 11986-11995, 2024 | | 2024 |
| Label-Aware Calibration and Relation-Preserving in Visual Intention Understanding QHY Shi, M Ye, W Huang, W Ruan, B Du IEEE TIP, 2024 | | 2024 |
Mang YeProfessor, Wuhan University在 whu.edu.cn 的电子邮件经过验证
