Yunlu Yan      

I'm Yunlu Yan, currently a Ph.D. Student at Robotics and Autonomous Systems Thrust, Hong Kong University of Science and Technology (GuangZhou), supervised by Prof. Lei Zhu. Before that, I received my master degree at the School of Computer Science and Technology, Harbin Institute of Technology (ShenZhen), supervised by Prof. Yong Xu. My research interests focus on computer vision, AI for healthcare, and federated learning.

Email  /  CV  /  Google Scholar  /  Github

I am looking for a Research Scientist/Postdoc position worldwide. Feel free to contact me.

News

  • [2025/11]   1 paper was accepted by IEEE TCYB.
  • [2025/06]   1 paper was accepted by MICCAI 2025.
  • [2025/04]   1 paper was accepted by IEEE JBHI.
  • [2025/02]   1 paper was accepted by CVPR 2025.
  • [2025/01]   2 papers were accepted by ICLR 2025.
  • [2024/06]   1 paper was accepted by MICCAI 2024.
  • [2024/01]   1 paper was accepted by IEEE JBHI.
  • [2023/03]   1 paper was accepted by IEEE TNNLS.
  • [2023/02]   Start my Ph.D. study, at the day of Feb. 8, 2023!
  • [2022/11]   I passed my oral defense for the master degree, at the day of Nov. 26, 2022!
  • [2022/08]   1 paper was accepted by IEEE TMI.
  • [2022/06]   1 paper was accepted by IEEE TMI.
  • [2021/12]   1 paper was accepted by MICCAI 2021.

    		•

    Education

    Hong Kong University of Science and Technology (GuangZhou)
    Ph.D. student   • Feb. 2023 - Present
    Advisors:   Prof. Lei Zhu

    Harbin Institute of Technology (ShenZhen)
    Master student  • Sep. 2020 - Dec. 2022
    Advisors:   Prof. Yong Xu

    Research Experience

    Jarvis Lab, Tencent
    Research Internship       • Dec. 2021 - Oct. 2022
    Advisors:   Dr. Yuexiang Li, Dr. Hong Wang, Dr. Nanjun He and   Dr. Yefeng Zheng

    Highlighted Publication [Google Scholar] (†: Equal Contribution.)
    Conference: MICCAI (3)    ICLR (2)    CVPR (1)
    Journal: TMI (2)    TNNLS (1)    JBHI (2)    TCYB (1)
  • 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 Gohy, Lei Zhu, C. L. Philip Chen
    IEEE TCYB 2025
    [Paper], [Code]
    Topic: Federated Learning, Non-IID Data.
  • 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
    MICCAI 2025
    [Paper], [Code]
    Topic: Federated Learning, Medical Image Analysis, Active Learning.
  • Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction
    Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Ping Li, Baiying Lei, Weiming Wang, David Dagan Feng, Lei Zhu
    IEEE JBHI 2025
    [Paper], [Code]
    Topic: Federated Learning, Incomplete Multi-Modal Learning, MRI Reconstruction.
  • A Simple Data Augmentation for Feature Distribution Skewed Federated Learning
    Yunlu Yan, Huazhu Fu, Yuexiang Li, Jinheng Xie, Jun Ma,Guang Yang, Lei Zhu
    CVPR 2025
    [Paper], [Code]
    Topic: Federated Learning, Non-IID Data.
  • Federated Residual Low-Rank Adaptation of Large Language Models
    Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu, Lei Zhu
    ICLR 2025
    [Paper], [Code]
    Topic: Federated Learning, LLM.
  • On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning
    Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Salman Khan, Yong Liu, Lei Zhu
    ICLR 2025
    [Paper], [Code]
    Topic: Federated Learning, Non-IID Data.
  • A New Perspective to Boost Performance Fairness For Medical Federated Learning
    Yunlu Yan, Lei Zhu, Yuexiang Li, Xinxing Xu, Rick Siow Mong Goh, Salman Khan, Chun-Mei Feng
    MICCAI 2024
    [Paper], [Code]
    Topic: Federated Learning, Fairness, Medical Image Analysis.
  • 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 JBHI 2024
    [Paper], [Code]
    Topic: Vertical Federated Learning, Cross-Modal Learning, MRI Reconstruction.
  • Specificity-Preserving Federated Learning for MR Image Reconstruction
    Chun-Mei Feng†, Yunlu Yan†, Shanshan Wang, Yong Xu, Ling Shao, Huazhu Fu
    IEEE TMI 2022
    [Paper], [Code]
    Topic: Federated Learning, MRI Reconstruction.
  • Multi-Modal Transformer for Accelerated MR Imaging
    Chun-Mei Feng†, Yunlu Yan†, Geng Chen, Yong Xu, Ling Shao, Huazhu Fu
    IEEE TMI 2022
    [Paper], [Code]
    Topic: Multi-modal Learning, Transformer, MRI Reconstruction.
  • Task Transformer Network for Joint MRI Reconstruction and Super-Resolution
    Chun-Mei Feng†, Yunlu Yan†, Huazhu Fu, Li Chen, Yong Xu
    MICCAI 2021
    [Paper], [Code]
    Topic: Multi-task Learning, Transformer, MRI Reconstruction, MRI Super-Resolution.

    • Academic Service

  • Conference Reviewer:   ACM MM,  MIUA, ICLR, MICCAI, NeurIPS, AAAI
  • Journal Reviewer:   IEEE TMI,  IEEE TAI, IEEE TNNLS,  IEEE TIFS,  IEEE TCSVT,  IEEE SPL,  IEEE JBHI,  Artificial Intelligence in Medicine

    		•

    Awards

  • IEEE TMI Distinguished Reviewer ,  2024

    		•


    Last updated on Nov. 10, 2025

    This awesome template borrowed from here and here.