| 2024 | ICLR | Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate. | Meirui Jiang, Anjie Le, Xiaoxiao Li, Qi Dou |
| 2024 | MICCAI | Language-Enhanced Local-Global Aggregation Network for Multi-organ Trauma Detection. | Jianxun Yu, Qixin Hu, Meirui Jiang, Yaning Wang, Chin Ting Wong, Jing Wang, Huimao Zhang, Qi Dou |
| 2023 | CVPR | Fair Federated Medical Image Segmentation via Client Contribution Estimation. | Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu |
| 2023 | MICCAI | FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation. | Minghui Chen, Meirui Jiang, Qi Dou, Zehua Wang, Xiaoxiao Li |
| 2023 | MICCAI | Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging. | Meirui Jiang, Yuan Zhong, Anjie Le, Xiaoxiao Li, Qi Dou |
| 2023 | WACV | Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer. | Junming Chen, Meirui Jiang, Qi Dou, Qifeng Chen |
| 2022 | AAAI | HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images. | Meirui Jiang, Zirui Wang, Qi Dou |
| 2022 | MICCAI | Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. | Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou |
| 2021 | ICLR | FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. | Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou |