Yunlu Yan

According to our database, Yunlu Yan authored at least 19 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Addressing Client Drift in Federated Learning via Class-Prototype Similarity Distillation and Adaptive Mask.

Yunlu Yan, Chun-Mei Feng, Mang Ye, Wangmeng Zuo, Ping Li, Rick Siow Mong Goh, Lei Zhu, C. L. Philip Chen

IEEE Trans. Cybern., April, 2026

2025

Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction.

Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Ping Li, Rick Siow Mong Goh, Baiying Lei, Weiming Wang, David Dagan Feng, Lei Zhu

IEEE J. Biomed. Health Informatics, August, 2025

Temporal Model-Based Federated Active Medical Image Classification.

Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Jinheng Xie, Jun Chen, Mohamed Elhoseiny, Ming Hu, Kaishun Wu, Lei Zhu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Federated Residual Low-Rank Adaptation of Large Language Models.

Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu, Lei Zhu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning.

Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Salman H. Khan, Yong Liu, Lei Zhu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

A Simple Data Augmentation for Feature Distribution Skewed Federated Learning.

Yunlu Yan, Huazhu Fu, Yuexiang Li, Jinheng Xie, Jun Ma, Guang Yang, Lei Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Cross-Modal Vertical Federated Learning for MRI Reconstruction.

Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yong Xu, Yuexiang Li, Yefeng Zheng

IEEE J. Biomed. Health Informatics, November, 2024

Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution.

Chun-Mei Feng, Yunlu Yan, Kai Yu, Yong Xu, Huazhu Fu, Jian Yang, Ling Shao

IEEE Trans. Neural Networks Learn. Syst., September, 2024

A New Perspective to Boost Performance Fairness For Medical Federated Learning.

Yunlu Yan, Lei Zhu, Yuexiang Li, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Salman H. Khan, Chun-Mei Feng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Multimodal Transformer for Accelerated MR Imaging.

Chun-Mei Feng, Yunlu Yan, Geng Chen, Yong Xu, Ying Hu, Ling Shao, Huazhu Fu

IEEE Trans. Medical Imaging, October, 2023

Specificity-Preserving Federated Learning for MR Image Reconstruction.

Chun-Mei Feng, Yunlu Yan, Shanshan Wang, Yong Xu, Ling Shao, Huazhu Fu

IEEE Trans. Medical Imaging, 2023

Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction.

Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Rick Siow Mong Goh, Lei Zhu

CoRR, 2023

Rethinking Client Drift in Federated Learning: A Logit Perspective.

Yunlu Yan, Chun-Mei Feng, Mang Ye, Wangmeng Zuo, Ping Li, Rick Siow Mong Goh, Lei Zhu, C. L. Philip Chen

CoRR, 2023

A Simple Data Augmentation for Feature Distribution Skewed Federated Learning.

Yunlu Yan, Lei Zhu

CoRR, 2023

Cross-Modal Vertical Federated Learning for MRI Reconstruction.

Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yuexiang Li, Yong Xu, Yefeng Zheng

CoRR, 2023

2021

Specificity-Preserving Federated Learning for MR Image Reconstruction.

Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Yong Xu, Ling Shao

CoRR, 2021

Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution.

Chun-Mei Feng, Yunlu Yan, Chengliang Liu, Huazhu Fu, Yong Xu, Ling Shao

CoRR, 2021

Accelerated Multi-Modal MR Imaging with Transformers.

Chun-Mei Feng, Yunlu Yan, Geng Chen, Huazhu Fu, Yong Xu, Ling Shao

CoRR, 2021

Task Transformer Network for Joint MRI Reconstruction and Super-Resolution.

Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, Yong Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021