Quality Assessment of Retargeted Images Using Hand-Crafted and Deep-Learned Features. - Zhenqi Fu; Feng Shao 001; Qiuping Jiang; Randi Fu; Yo-Sung Ho (IEEE Access, 2018)

A Study of Perceptual Quality Assessment for Stereoscopic Image Retargeting. - Zhenqi Fu; Yan Yang; Feng Shao 001; Xinghao Ding (APSIPA, 2019)

Discriminative dictionary learning for retinal vessel segmentation using fusion of multiple features. - Yan Yang; Feng Shao 001; Zhenqi Fu; Randi Fu (Signal Image Video Process., 2019)

Subjective and Objective Quality Assessment for Stereoscopic Image Retargeting. - Zhenqi Fu; Feng Shao 001; Qiuping Jiang; Xiangchao Meng; Yo-Sung Ho (IEEE Trans. Multim., 2021)

Transformation-Aware Similarity Measurement for Image Retargeting Quality Assessment via Bidirectional Rewarping. - Feng Shao 001; Zhenqi Fu; Qiuping Jiang; Gangyi Jiang; Yo-Sung Ho (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Unsupervised Underwater Image Restoration: From a Homology Perspective. - Zhenqi Fu; Huangxing Lin; Yan Yang; Shu Chai; Liyan Sun; Yue Huang 001; Xinghao Ding (AAAI, 2022)

EffiSeaNet: Pioneering Lightweight Network for Underwater Salient Object Detection. - Qingyao Wu; Zhenqi Fu; Hong Lin; Chenyu Ma; Xiaotong Tu; Xinghao Ding (ACCV (4), 2022)

Uncertainty Inspired Underwater Image Enhancement. - Zhenqi Fu; Wu Wang; Yue Huang 001; Xinghao Ding; Kai-Kuang Ma (ECCV (18), 2022)

Unsupervised and Untrained Underwater Image Restoration Based on Physical Image Formation Model. - Shu Chai; Zhenqi Fu; Yue Huang 001; Xiaotong Tu; Xinghao Ding (ICASSP, 2022)

A Robust Object Segmentation Network for UnderWater Scenes. - Ruizhe Chen; Zhenqi Fu; Yue Huang 001; En Cheng; Xinghao Ding (ICASSP, 2022)

Underwater Image Enhancement Via Learning Water Type Desensitized Representations. - Zhenqi Fu; Xiaopeng Lin; Wu Wang; Yue Huang 001; Xinghao Ding (ICASSP, 2022)

Twice Mixing: A rank learning based quality assessment approach for underwater image enhancement. - Zhenqi Fu; Xueyang Fu; Yue Huang 001; Xinghao Ding (Signal Process. Image Commun., 2022)

Combining Retargeting Quality and Depth Perception Measures for Quality Evaluation of Retargeted Stereopairs. - Xuejin Wang; Feng Shao 001; Qiuping Jiang; Zhenqi Fu; Xiangchao Meng; Ke Gu 001; Yo-Sung Ho (IEEE Trans. Multim., 2022)

Learning a Simple Low-Light Image Enhancer from Paired Low-Light Instances. - Zhenqi Fu; Yan Yang; Xiaotong Tu; Yue Huang 001; Xinghao Ding; Kai-Kuang Ma (CVPR, 2023)

Underwater Image Enhancement and Super-Resolution Using Implicit Neural Networks. - Xueye Chu; Zhenqi Fu; Shaocong Yu; Xiaotong Tu; Yue Huang 001; Xinghao Ding (ICIP, 2023)

Domain-irrelevant Feature Learning for Generalizable Pan-sharpening. - Yunlong Lin; Zhenqi Fu; Ge Meng; Yingying Wang 005; Yuhang Dong; Linyu Fan; Hedeng Yu; Xinghao Ding (ACM Multimedia, 2023)

Learning High-frequency Feature Enhancement and Alignment for Pan-sharpening. - Yingying Wang 005; Yunlong Lin; Ge Meng; Zhenqi Fu; Yuhang Dong; Linyu Fan; Hedeng Yu; Xinghao Ding; Yue Huang 001 (ACM Multimedia, 2023)

Infrared and Visible Image Fusion via Test-Time Training. - Guoqing Zheng; Zhenqi Fu; Xiaopeng Lin; Xueye Chu; Yue Huang 001; Xinghao Ding (PRCV (10), 2023)

Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation. - Ge Meng; Jingjia Huang; Yingying Wang 005; Zhenqi Fu; Xinghao Ding; Yue Huang 001 (AAAI, 2024)

AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement. - Yunlong Lin; Tian Ye 001; Sixiang Chen; Zhenqi Fu; Yingying Wang 005; Wenhao Chai; Zhaohu Xing; Lei Zhu 003; Xinghao Ding (CoRR, 2024)

Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors. - Yunlong Lin; Zhenqi Fu; Kairun Wen; Tian Ye 001; Sixiang Chen; Ge Meng; Yingying Wang 005; Yue Huang 001; Xiaotong Tu; Xinghao Ding (CoRR, 2024)

Token-Mixer: Bind Image and Text in One Embedding Space for Medical Image Reporting. - Yan Yang; Jun Yu 002; Zhenqi Fu; Ke Zhang 038; Ting Yu 016; Xianyun Wang; Hanliang Jiang; Junhui Lv; Qingming Huang; Weidong Han 001 (IEEE Trans. Medical Imaging, 2024)

AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement. - Yunlong Lin; Tian Ye 001; Sixiang Chen; Zhenqi Fu; Yingying Wang 005; Wenhao Chai; Zhaohu Xing; Wenxue Li; Lei Zhu 003; Xinghao Ding (AAAI, 2025)

DPLUT: Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors. - Yunlong Lin; Zhenqi Fu; Kairun Wen; Tian Ye 001; Sixiang Chen; Ge Meng; Yingying Wang 005; Chui Kong; Yue Huang 001; Xiaotong Tu; Xinghao Ding (AAAI, 2025)

V2V3D: View-to-View Denoised 3D Reconstruction for Light Field Microscopy. - Jiayin Zhao; Zhenqi Fu; Tao Yu 007; Hui Qiao (CVPR, 2025)

Tree-Mamba: A Tree-Aware Mamba for Underwater Monocular Depth Estimation. - Peixian Zhuang; Yijian Wang; Zhenqi Fu; Hongliang Zhang; Sam Kwong; Chongyi Li (CoRR, 2025)

Spatio-Temporal and Retrieval-Augmented Modeling for Chest X-Ray Report Generation. - Yan Yang; Xiaoxing You; Ke Zhang 038; Zhenqi Fu; Xianyun Wang; Jiajun Ding; Jiamei Sun; Zhou Yu 001; Qingming Huang; Weidong Han 001; Jun Yu 002 (IEEE Trans. Medical Imaging, 2025)

CXRAgent: Director-Orchestrated Multi-Stage Reasoning for Chest X-Ray Interpretation. - Jinhui Lou; Yan Yang; Zhou Yu 001; Zhenqi Fu; Weidong Han 001; Qingming Huang; Jun Yu 002 (CoRR, 2025)