Learning to describe color composition of visual objects. - Yuanliu Liu; Yudong Liang; Zejian Yuan; Nanning Zheng 001 (ICPR, 2012)

Learning visual co-occurrence with auto-encoder for image super-resolution. - Yudong Liang; Jinjun Wang; Shizhou Zhang; Yihong Gong (APSIPA, 2014)

Incorporating image degeneration modeling with multitask learning for image super-resolution. - Yudong Liang; Jinjun Wang; Shizhou Zhang; Yihong Gong (ICIP, 2015)

Multi-cue Normalized Non-Negative Sparse Encoder for image classification. - Shizhou Zhang; Jinjun Wang; Yudong Liang; Yihong Gong; Nanning Zheng 001 (ICME, 2015)

Image Quality Assessment Using Similar Scene as Reference. - Yudong Liang; Jinjun Wang; Xingyu Wan; Yihong Gong; Nanning Zheng 001 (ECCV (5), 2016)

Learning Qualitative and Quantitative Image Quality Assessment. - Yudong Liang; Jinjun Wang; Ze Yang 003; Yihong Gong; Nanning Zheng 001 (PCM (2), 2016)

Incorporating image priors with deep convolutional neural networks for image super-resolution. - Yudong Liang; Jinjun Wang; Sanping Zhou; Yihong Gong; Nanning Zheng 001 (Neurocomputing, 2016)

Active contour model based on local and global intensity information for medical image segmentation. - Sanping Zhou; Jinjun Wang; Shun Zhang; Yudong Liang; Yihong Gong (Neurocomputing, 2016)

Single Image Super-Resolution with a Parameter Economic Residual-Like Convolutional Neural Network. - Ze Yang 003; Kai Zhang; Yudong Liang; Jinjun Wang (MMM (1), 2017)

Lattice-based proxy signature scheme with reject sampling method. - Zoe Lin Jiang; Yudong Liang; Zechao Liu; Xuan Wang 002 (SPAC, 2017)

Single Image Super Resolution - When Model Adaptation Matters. - Yudong Liang; Radu Timofte; Jinjun Wang; Yihong Gong; Nanning Zheng 001 (CoRR, 2017)

Single Image Super-resolution with a Parameter Economic Residual-like Convolutional Neural Network. - Yudong Liang; Ze Yang 003; Kai Zhang; Yihui He; Jinjun Wang; Nanning Zheng 001 (CoRR, 2017)

Discriminative Feature Learning With Foreground Attention for Person Re-Identification. - Sanping Zhou; Jinjun Wang; Deyu Meng; Yudong Liang; Yihong Gong; Nanning Zheng 001 (IEEE Trans. Image Process., 2019)

Progressive Depth Learning for Single Image Dehazing. - Yudong Liang; Bin Wang 071; Jiaying Liu 001; Deyu Li; Sanping Zhou; Wenqi Ren (CoRR, 2021)

Progressive residual learning for single image dehazing. - Yudong Liang; Bin Wang 071; Jiaying Liu 001; Deyu Li; Yuhua Qian; Wenqi Ren (CoRR, 2021)

Development of a Machine Learning-Assisted Model for the Early Detection of Severe COVID-19 Cases Combining Blood Test and Quantitative Computed Tomography Parameters. - Xiaoqi Huang; Ke Shi; Jie Zhou; Yudong Liang; Yaliang Liu; Jinpin Zhang; Youmin Guo; Chenwang Jin (J. Medical Imaging Health Informatics, 2021)

Single-Image super-resolution - When model adaptation matters. - Yudong Liang; Radu Timofte; Jinjun Wang; Sanping Zhou; Yihong Gong; Nanning Zheng 001 (Pattern Recognit., 2021)

Self-supervised Learning and Adaptation for Single Image Dehazing. - Yudong Liang; Bin Wang 071; Wangmeng Zuo; Jiaying Liu 001; Wenqi Ren (IJCAI, 2022)

Learning Hierarchical Dynamics with Spatial Adjacency for Image Enhancement. - Yudong Liang; Bin Wang 071; Wenqi Ren; Jiaying Liu 001; Wenjian Wang; Wangmeng Zuo (ACM Multimedia, 2022)

All-In-One Image Restoration in Adverse Weather Conditions with Spatial-Frequency Domain Information. - Panfeng Jing; Yudong Liang; Siyu Wang; Pin Gao; Hongqiang An (ICIRA (2), 2024)

Image dehazing via self-supervised depth guidance. - Yudong Liang; Shaoji Li; De Cheng; Wenjian Wang; Deyu Li; Jiye Liang (Pattern Recognit., 2025)

3D Portrait Stylization with Adaptive Semantic Editing based on GAN Latent Codes. - Yantao Song; Xiangchong Jia; Jieru Jia; Yudong Liang; Xinyan Liang (Pattern Recognit., 2026)