About Me

I am currently an tenure-track Associate Professor at the Hangzhou Institute of Technology / School of Artificial Intelligence, Xidian University (XDU). Prior to this, I was a postdoctoral researcher in the Department of Automation at Tsinghua University (THU), working with Prof. Qionghai Dai (Academician of the Chinese Academy of Engineerning) at the BBNC Lab. I received my Ph.D. degree in Signal and Information Processing from Xiamen University (XMU), China, in Dec. 2023, under the supervision of Prof. Xinghao Ding at the SmartDSP Lab. From Dec. 2021 to Dec. 2022, I was a visiting Ph.D. student at Nanyang Technological University (NTU), Singapore, advised by Prof. Kai-Kuang Ma (IEEE Fellow). My current research interests include low-level vision, biomedical imaging, fluorescence microscopy imaging, and deep learning.

Recent News

  • One paper accepted in Nature Communications.
  • Two papers accepted in IEEE TMM.
  • One paper accepted in IEEE TMI.
  • One paper accepted in CVPR 2025.
  • Two papers accepted in AAAI 2025.

Selected & Favorite Works

  • V2V3D: View-to-View Denoised 3D Reconstruction for Light Field Microscopy.
    Jiayin Zhao#, Zhenqi Fu#, Tao Yu, Hui Qiao.
    CVPR 2025. [pdf] [code]
  • Learning a Simple Low-light Image Enhancer from Paired Low-light Instances.
    Zhenqi Fu, Yan Yang, Xiaotong Tu, Yue Huang, Xinghao Ding, Kai-Kuang Ma.
    CVPR 2023. [pdf] [code]
  • Uncertainty Inspired Underwater Image Enhancement.
    Zhenqi Fu, Wu Wang, Yue Huang, Xinghao Ding, Kai-Kuang Ma.
    ECCV 2022. [pdf] [code]
  • Unsupervised Underwater Image Restoration: From a Homology Perspective.
    Zhenqi Fu#, Huangxing Lin#, Yan Yang, Shu Chai, Liyan Sun, Yue Huang, Xinghao Ding.
    AAAI 2022. [pdf] [code]
  • Leveraging spatial-angular redundancy for self-supervised denoising of 3D fluorescence imaging without temporal dependency.
    Zhi Lu, Wentao Chen, Feihao Sun, Jiagi Fan, Xinyang Li, Zhengi Fu, Manchang Jin, Jiamin Wu, Qionghai Dai.
    Nature Communications. (2025) [pdf] [code]
  • Token-Mixer: Bind Image and Text in One Embedding Space for Medical Image Reporting.
    Yan Yang, Jun Yu, Zhenqi Fu, Ke Zhang, Ting Yu, Xianyun Wang, Hanliang Jiang, Junhui Lv, Qingming Huang, Weidong Han.
    IEEE Transactions on Medical Imaging. (2024) [pdf] [code]
  • MASNet: A Robust Deep Marine Animal Segmentation Network.
    Zhenqi Fu, Ruizhe Chen, Yue Huang, En Cheng, Xinghao Ding, Kai-Kuang Ma.
    IEEE Journal of Oceanic Engineering. (2023) [pdf] [code]
  • Twice Mixing: A Rank Learning based Quality Assessment Approach for Underwater Image Enhancement.
    Zhenqi Fu, Xueyang Fu, Yue Huang, Xinghao Ding.
    Signal Processing: Image Communication. (2022) [pdf] [code]
  • Transformation-aware similarity measurement for image retargeting quality assessment via bidirectional rewarping.
    Feng Shao, Zhenqi Fu, Qiuping Jiang, Gangyi Jiang, Yo-Sung Ho.
    IEEE Transactions on Systems, Man, and Cybernetics: Systems. (2019) [pdf] [code]
  • 数字自适应光学.
    吴嘉敏, 翟焱望, 郭钰铎, 唐若凡, 赵灿兵, 富振奇, 戴琼海.
    光学学报. (2025) [pdf]

    • Academic Activities

    • Conference Reviewer: ICLR/ICML/NeurIPS/CVPR/ICCV/ECCV/AAAI/ACMMM/ICASSP/ICME, etc.
    • Journal Reviewer: TPAMI/TIP/IJCV/TNNLS/TMM/TCSVT/TMI/JBHI/TGRS/TCE/JOE/SPL, etc.

    Resources

    • V2V3D Dataset: A light field microscopy reconstruction dataset [2025].
    • PairLIE Dataset: A low-light image enhancement dataset with multi-exposure images [2023].
    • RMAS Dataset: A real-world marine animal segmentation dataset [2023].
    • New UIEBD Dataset: An underwater image enhancement dataset with multiple labels [2022].
    • UIE IQA Dataset: An underwater image enhancement quality assessment dataset [2021].
    • NBU SIRQA Dataset: A stereoscopic image retargeting quality assessment dataset [2019].

    Contact

    Email: fuzhenqi@stu.xmu.edu.cn

    Last update on 2026-07-01.