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2020 – today
- 2025
[j5]Yunlu Yan
, Chun-Mei Feng, Yuexiang Li, Ping Li, Rick Siow Mong Goh, Baiying Lei, Weiming Wang, David Dagan Feng, Lei Zhu:
Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction. IEEE J. Biomed. Health Informatics 29(8): 5849-5861 (2025)- [c6]Yunlu Yan, Huazhu Fu, Yuexiang Li, Jinheng Xie, Jun Ma, Guang Yang, Lei Zhu:
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning. CVPR 2025: 25749-25758 - [c5]Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Salman H. Khan, Yong Liu, Lei Zhu:
On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning. ICLR 2025 - [c4]Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu, Lei Zhu:
Federated Residual Low-Rank Adaptation of Large Language Models. ICLR 2025 - [c3]Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Jinheng Xie, Jun Chen, Mohamed Elhoseiny, Ming Hu, Kaishun Wu, Lei Zhu:
Temporal Model-Based Federated Active Medical Image Classification. MICCAI (14) 2025: 604-614 - 2024
- [j4]Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yong Xu, Yuexiang Li, Yefeng Zheng:
Cross-Modal Vertical Federated Learning for MRI Reconstruction. IEEE J. Biomed. Health Informatics 28(11): 6384-6394 (2024) - [j3]Chun-Mei Feng, Yunlu Yan, Kai Yu, Yong Xu, Huazhu Fu, Jian Yang, Ling Shao:
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12251-12262 (2024) - [c2]Yunlu Yan, Lei Zhu, Yuexiang Li, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Salman H. Khan, Chun-Mei Feng:
A New Perspective to Boost Performance Fairness For Medical Federated Learning. MICCAI (10) 2024: 13-23 - [i9]Yunlu Yan, Lei Zhu, Yuexiang Li, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Salman Khan, Chun-Mei Feng:
A New Perspective to Boost Performance Fairness for Medical Federated Learning. CoRR abs/2410.19765 (2024) - 2023
- [j2]Chun-Mei Feng, Yunlu Yan, Shanshan Wang, Yong Xu, Ling Shao, Huazhu Fu:
Specificity-Preserving Federated Learning for MR Image Reconstruction. IEEE Trans. Medical Imaging 42(7): 2010-2021 (2023) - [j1]Chun-Mei Feng, Yunlu Yan, Geng Chen, Yong Xu, Ying Hu, Ling Shao, Huazhu Fu:
Multimodal Transformer for Accelerated MR Imaging. IEEE Trans. Medical Imaging 42(10): 2804-2816 (2023) - [i8]Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yuexiang Li, Yong Xu, Yefeng Zheng:
Cross-Modal Vertical Federated Learning for MRI Reconstruction. CoRR abs/2306.02673 (2023) - [i7]Yunlu Yan, Lei Zhu:
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning. CoRR abs/2306.09363 (2023) - [i6]Yunlu Yan, Chun-Mei Feng, Mang Ye, Wangmeng Zuo, Ping Li, Rick Siow Mong Goh, Lei Zhu, C. L. Philip Chen:
Rethinking Client Drift in Federated Learning: A Logit Perspective. CoRR abs/2308.10162 (2023) - [i5]Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Rick Siow Mong Goh, Lei Zhu:
Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction. CoRR abs/2308.10910 (2023) - 2021
- [c1]Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, Yong Xu:
Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. MICCAI (6) 2021: 307-317 - [i4]Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, Yong Xu:
Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. CoRR abs/2106.06742 (2021) - [i3]Chun-Mei Feng, Yunlu Yan, Geng Chen, Huazhu Fu, Yong Xu, Ling Shao:
Accelerated Multi-Modal MR Imaging with Transformers. CoRR abs/2106.14248 (2021) - [i2]Chun-Mei Feng, Yunlu Yan, Chengliang Liu, Huazhu Fu, Yong Xu, Ling Shao:
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. CoRR abs/2109.01664 (2021) - [i1]Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Yong Xu, Ling Shao:
Specificity-Preserving Federated Learning for MR Image Reconstruction. CoRR abs/2112.05752 (2021)
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