Zhenqi Fu
Scholar

Zhenqi Fu

Google Scholar ID: LaxVNC8AAAAJ
Tsinghua University
low-level visionbiomedical imagingdeep learning
Citations & Impact
All-time
Citations
1,127
 
H-index
15
 
i10-index
19
 
Publications
20
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • - Publications:
  • - V2V3D: View-to-View Denoised 3D Reconstruction for Light Field Microscopy, CVPR 2025
  • - Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors, AAAI 2025
  • - AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement, AAAI 2025
  • - CyclicAligner: Knowledge-Enhanced Cyclical Alignment for Chest X-ray Report Generation, BIBM 2025
  • - EffiSeaNet: Pioneering Lightweight Network for Underwater Salient Object Detection, ACCV 2024
  • - Progressive High-frequency Reconstruction for Pan-sharpening with Implicit Neural Representation, AAAI 2024
  • - Learning a Simple Low-light Image Enhancer from Paired Low-light Instances, CVPR 2023
  • - Domain-irrelevant Feature Learning for Generalizable Pan-sharpening, ACMMM 2023
  • - Learning High-frequency Feature Enhancement and Alignment for Pan-sharpening, ACMMM 2023
  • - Uncertainty Inspired Underwater Image Enhancement, ECCV 2022
  • - Unsupervised Underwater Image Restoration: From a Homology Perspective, AAAI 2022
  • - Underwater Image Enhancement via Learning Water Type Desensitized Representations, ICASSP 2022
  • - Unsupervised and Untrained Underwater Image Restoration Based on Physical Image Formation Model, ICASSP 2022
Research Experience
  • - Postdoc researcher at Tsinghua University
  • - Ph.D. student at Xiamen University
  • - Visiting Ph.D. student at Nanyang Technological University
Education
  • - Received Ph.D. degree in signal and information processing from Xiamen University (XMU) in Dec. 2023, advised by Prof. Xinghao Ding
  • - Visiting Ph.D. student at Nanyang Technological University (NTU), Singapore, from Dec. 2021 to Dec. 2022, advised by Prof. Kai-Kuang Ma (IEEE Fellow)
Background
  • - Research interests include low-level vision, biomedical imaging, and deep learning
  • - Currently a postdoc researcher in the Department of Automation at Tsinghua University, working with Prof. Qionghai Dai (Fellow of the Chinese Academy of Engineering)