| 2025 | AAAI | 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, Wenxue Li, Lei Zhu, Xinghao Ding |
| 2025 | AAAI | DPLUT: Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors. | Yunlong Lin, Zhenqi Fu, Kairun Wen, Tian Ye, Sixiang Chen, Ge Meng, Yingying Wang, Chui Kong, Yue Huang, Xiaotong Tu, Xinghao Ding |
| 2025 | CVPR | V2V3D: View-to-View Denoised 3D Reconstruction for Light Field Microscopy. | Jiayin Zhao, Zhenqi Fu, Tao Yu, Hui Qiao |
| 2024 | AAAI | Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation. | Ge Meng, Jingjia Huang, Yingying Wang, Zhenqi Fu, Xinghao Ding, Yue Huang |
| 2023 | CVPR | 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 |
| 2023 | ICIP | Underwater Image Enhancement and Super-Resolution Using Implicit Neural Networks. | Xueye Chu, Zhenqi Fu, Shaocong Yu, Xiaotong Tu, Yue Huang, Xinghao Ding |
| 2022 | AAAI | Unsupervised Underwater Image Restoration: From a Homology Perspective. | Zhenqi Fu, Huangxing Lin, Yan Yang, Shu Chai, Liyan Sun, Yue Huang, Xinghao Ding |
| 2022 | ACCV | EffiSeaNet: Pioneering Lightweight Network for Underwater Salient Object Detection. | Qingyao Wu, Zhenqi Fu, Hong Lin, Chenyu Ma, Xiaotong Tu, Xinghao Ding |
| 2022 | ECCV | Uncertainty Inspired Underwater Image Enhancement. | Zhenqi Fu, Wu Wang, Yue Huang, Xinghao Ding, Kai-Kuang Ma |
| 2022 | ICASSP | Unsupervised and Untrained Underwater Image Restoration Based on Physical Image Formation Model. | Shu Chai, Zhenqi Fu, Yue Huang, Xiaotong Tu, Xinghao Ding |
| 2022 | ICASSP | A Robust Object Segmentation Network for UnderWater Scenes. | Ruizhe Chen, Zhenqi Fu, Yue Huang, En Cheng, Xinghao Ding |
| 2022 | ICASSP | Underwater Image Enhancement Via Learning Water Type Desensitized Representations. | Zhenqi Fu, Xiaopeng Lin, Wu Wang, Yue Huang, Xinghao Ding |