About Me

• I am a postdoc researcher in the department of automation, Tsinghua University (THU), working with Prof. Qionghai Dai (Fellow of the Chinese Academy of Engineerning) at BBNC Lab. Prior to this, I received the Ph.D. degree in signal and information processing from Xiamen University (XMU), China, in Dec. 2023, advised by Prof. Xinghao Ding at SmartDSP Lab. I was a visiting Ph.D. student with Nanyang Technological University (NTU), Singapore, from Dec. 2021 to Dec. 2022, 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

• We have one paper accepted in Nature Communications.
• We have two paper accepted in IEEE TMM.
• We have one paper accepted in IEEE TMI.
• We have one paper accepted in CVPR 2025.
• We have two paper accepted in AAAI 2025.

Publications

  Conference

1. V2V3D: View-to-View Denoised 3D Reconstruction for Light Field Microscopy.
   Jiayin Zhao, Zhenqi Fu (co-first author), Tao Yu, Hui Qiao.
   CVPR 2025. [pdf] [code]
2. Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors.
   Yunlong Lin, Zhenqi Fu (co-first author), Kairun Wen, Tian Ye, Sixiang Chen, Ge Meng, Yingying Wang, Yue Huang, Xiaotong Tu, Xinghao Ding.
   AAAI 2025. [pdf] [code]
3. AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement.
   Yunlong Lin, Tian Ye, Sixiang Chen, Zhenqi Fu, Yingying Wang, Wenhao Chai, Zhaohu Xing, Lei Zhu, Xinghao Ding.
   AAAI 2025. [pdf] [code]
4. CyclicAligner: Knowledge-Enhanced Cyclical Alignment for Chest X-ray Report Generation.
   Jiamei Sun, Pengbo Wang, Ke Zhang, Xiangyu Tan, Zhenqi Fu, and Yan Yang.
   BIBM 2025. [pdf] [code]
5. EffiSeaNet: Pioneering Lightweight Network for Underwater Salient Object Detection.
   Qingyao Wu, Zhenqi Fu, Hong Lin, Chenyu Ma, Xiaotong Tu, Xinghao Ding.
   ACCV 2024. [pdf]
6. Progressive High-frequency Reconstruction for Pan-sharpening with Implicit Neural Representation.
   Ge Meng, Jingjia Huang, Yingying Wang, Zhenqi Fu, Xinghao Ding, Yue Huang.
   AAAI 2024. [pdf]
7. 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]
8. Domain-irrelevant Feature Learning for Generalizable Pan-sharpening.
   Yunlong Lin, Zhenqi Fu (co-first author), Meng Ge, Yingying Wang, Yuhang Dong, Linyu Fan, Hedeng Yu, Xinghao Ding.
   ACMMM 2023. [pdf] [code]
9. Learning High-frequency Feature Enhancement and Alignment for Pan-sharpening.
   Yingying Wang, Yunlong Lin, Meng Ge, Zhenqi Fu, Yuhang Dong, Linyu Fan, Hedeng Yu, Xinghao Ding, Yue Huang.
   ACMMM 2023. [pdf] [code]
10. Uncertainty Inspired Underwater Image Enhancement.
    Zhenqi Fu, Wu Wang, Yue Huang, Xinghao Ding, Kai-Kuang Ma.
    ECCV 2022. [pdf] [code]
11. 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]
12. Underwater Image Enhancement via Learning Water Type Desensitized Representations.
    Zhenqi Fu, Xiaopeng Lin, Wu Wang, Yue Huang, Xinghao Ding.
    ICASSP 2022. [pdf] [code]
13. Unsupervised and Untrained Underwater Image Restoration Based on Physical Image Formation Model.
    Shu Chai, Zhenqi Fu, Yue Huang, Xiaotong Tu, Xinghao Ding.
    ICASSP 2022. [pdf] [code]
14. A Robust Object Segmentation Network for Underwater Scenes.
    Ruizhe Chen, Zhenqi Fu, Yue Huang, En Cheng, Xinghao Ding.
    ICASSP 2022. [pdf] [code]
15. Underwater Image Enhancement and Super-resolution Using Implicit Neural Networks.
    Xueye Chu, Zhenqi Fu, Shaocong Yu, Xiaotong Tu, Yue Huang, Xinghao Ding.
    ICIP 2023. [pdf]
16. A Study of Perceptual Quality Assessment for Stereoscopic Image Retargeting.
    Zhenqi Fu, Yan Yang, Feng shao, Xinghao Ding.
    APSIPA 2019. [pdf] [Database]
17. Infrared and Visible Image Fusion via Test-Time Training.
    Guoqing Zheng, Zhenqi Fu, Xiaopeng Lin, Xueye Chu, Yue Huang, Xinghao Ding.
    PRCV 2023. [pdf]

  Journal

1. Leveraging spatial-angular redundancy for self-supervised denoising of 3D fluorescence imagingwithout temporal dependency.
   Zhi Lu, Wentao Chen, Feihao Sun, Jiagi Fan, Xinyang Li, Zhengi Fu, Manchang Jin, Jiamin Wu, and Qionghai Dai.
   Nature Communications. (2025) [pdf] [code]
2. MCSF-Net: A Multi-Color Space Fusion Network for Underwater Image Enhancement.
   Yijian Wang, Peixian Zhuang, Zhenqi Fu, Jiaquan Yan, and Zuoyong Li.
   IEEE Transactions on Multimedia. (2025) [pdf] [code]
3. Accelerating Adaptive Diffusion and Uncertainty Modeling for Underwater Image Enhancement.
   Xiuna Zeng, Jiaao Peng, Zhenqi Fu, Linyu Fan, Xiaotong Tu, Yue Huang, and Xinghao Ding.
   IEEE Transactions on Multimedia. (2025) [pdf] [code]
4. Spatio-Temporal and Retrieval-Augmented Modelling for Chest X-Ray Report Generation.
   Yan Yang, Xiaoxing You, Ke Zhang, Zhenqi Fu, Xianyun Wang, Jiajun Ding, Jiamei Sun, Zhou Yu, Qingming Huang, Weidong Han, and Jun Yu.
   IEEE Transactions on Medical Imaging. (2025) [pdf] [code]
5. CE3USOD: Channel-Enhanced, Efficient and Effective Network for Underwater Salient Object Detection.
   Qingyao Wu, Jiaxin Xie, Zhenqi Fu, Xiaotong Tu, Huang Yue, and Xinghao Ding.
   IEEE Journal of Oceanic Engineering. (2024) [pdf] [code]
6. 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 and Weidong Han.
   IEEE Transactions on Medical Imaging. (2024) [pdf] [code]
7. MASNet: A Robust Deep Marine Animal Segmentation Network.
   Zhenqi Fu, Ruizhe Chen, Yue Huang, En Cheng, Xinghao Ding, and Kai-Kuang Ma.
   IEEE Journal of Oceanic Engineering. (2023) [pdf] [code]
8. 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]
9. Combining Retargeting Quality and Depth Perception Measures for Quality Evaluation of Retargeted Stereopairs.
   Xuejin Wang, Feng Shao, Qiuping Jiang, Zhenqi Fu, Xiangchao Meng, Ke Gu, Yo-Sung Ho.
   IEEE Transactions on Multimedia. (2022) [pdf]
10. Subjective and Objective Quality Assessment for Stereoscopic Image Retargeting.
    Zhenqi Fu, Feng Shao, Qiuping Jiang, Xiangchao Meng, Yo-Sung Ho.
    IEEE Transactions on Multimedia. (2022) [pdf] [code]
11. 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. (2021) [pdf] [code]
12. Discriminative dictionary learning for retinal vessel segmentation using fusion of multiple features.
    Yan Yang, Feng Shao, Zhenqi Fu, Randi Fu.
    Signal, Image and Video Processing. (2019) [pdf]
13. Quality Assessment of Retargeted Images Using Hand-Crafted and Deep-Learned Features.
    Zhenqi Fu, Feng Shao, Qiuping Jiang, Randi Fu, Yo-Sung Ho.
    IEEE Access. (2018) [pdf]
14. Blood vessel segmentation of fundus images via cross-modality dictionary learning.
    Yan Yang, Feng Shao, Zhenqi Fu, Randi Fu.
    Applied Optics. (2018) [pdf]
15. 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/PRCV, etc.

  Journal Reviewer

• TPAMI/TIP/IJCV/TNNLS/TMM/TCSVT/TGRS/TCE/JOE/CVIU/C&G/Access/Neurocomputing/Neural Networks/Visual Computer/ Journal of Supercomputing, etc.

Resources

• 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

Google Scholar