An image restoration method based on sparse constraint. - Zhenping Qiang; Hui Liu; Xu Chen; Zhenhong Shang; Lingjun Zeng (ICDIP, 2013)

基于信息熵与SIFT算法的天文图像配准 (Astronomical Image Registration Combining Information Entropy and SIFT Algorithm). - Xin Yue; Zhenhong Shang; Zhenping Qiang; Hui Liu; Xiaodong Fu; Zhihua Zhang (计算机科学, 2015)

Image denoising via group sparsity residual constraint. - Zhiyuan Zha; Xin Liu 012; Ziheng Zhou 003; Xiaohua Huang; Jingang Shi; Zhenhong Shang; Lan Tang; Yechao Bai; Qiong Wang 002; Xinggan Zhang (ICASSP, 2017)

Compressed sensing image reconstruction via adaptive sparse nonlocal regularization. - Zhiyuan Zha; Xin Liu 012; Xinggan Zhang; Yang Chen; Lan Tang; Yechao Bai; Qiong Wang 002; Zhenhong Shang (Vis. Comput., 2018)

融合多层卷积特征的相关滤波运动目标跟踪算法 (Visual Object Tracking Algorithm Based on Correlation Filters with Hierarchical Convolutional Features). - Jianpeng Li; Zhenhong Shang; Hui Liu (计算机科学, 2019)

Adaptive Transform Learning and Joint Sparsity Based PLORAKS Parallel Magnetic Resonance Image Reconstruction. - Jizhong Duan; Chang Liu 056; Yu Liu 004; Zhenhong Shang (IEEE Access, 2020)

Multilabel Classifier Chains Algorithm Based on Maximum Spanning Tree and Directed Acyclic Graph. - Wenbiao Zhao; Runxin Li; Zhenhong Shang (Int. J. Inf. Technol. Syst. Approach, 2023)

Semi-supervised multi-label learning with missing labels by exploiting feature-label correlations. - Runxin Li; Xuefeng Zhao; Zhenhong Shang; Lianyin Jia (Stat. Anal. Data Min., 2023)

Learning Common and Label-Specific Features for Multi-Label Classification With Missing Labels. - Runxin Li; Zexian Ouyang; Zhenhong Shang; Lianyin Jia; Xiaowu Li (IEEE Access, 2024)

DCNet: A lightweight retinal vessel segmentation network. - Zhenhong Shang; Chunhui Yu; Hua Huang; Runxin Li (Digit. Signal Process., 2024)

Multi-label feature selection based on minimizing feature redundancy of mutual information. - Gaozhi Zhou; Runxin Li; Zhenhong Shang; Xiaowu Li; Lianyin Jia (Neurocomputing, 2024)

Semi-supervised multi-label dimensionality reduction learning based on minimizing redundant correlation of specific and common features. - Runxin Li; Gaozhi Zhou; Xiaowu Li; Lianyin Jia; Zhenhong Shang (Knowl. Based Syst., 2024)

Video stabilization based on low-rank constraint and trajectory optimization. - Zhenhong Shang; Zhishuang Chu (IET Image Process., 2024)

A Coronal Loop Automatic Detection Method. - Zhenhong Shang; Ziqi He; Runxin Li (Symmetry, 2024)

TMN: Transformer in matrix network for single image super-resolution with enhanced shallow feature preservation. - Ou Ao; Zhenhong Shang (Digit. Signal Process., 2025)

Semi-supervised multi-label feature selection combining nonlinear manifold structure and minimizing group sparse redundant correlation. - Runxin Li; Xiong Yang; Xiaowu Li; Guofeng Shu; Lianyin Jia; Zhenhong Shang (Expert Syst. Appl., 2025)