The Iterative Regularization Method Based on Image Decomposition Model. - Min Li 024; Chen Xu 004; Xiaoli Sun; Weiqiang Zhang (CIS, 2011)

A secondary image denoising model based on the local energy operator. - Chen Xu 004; Xiaoli Sun; Min Li 024 (CIS, 2011)

An improved image denoising model based on the directed diffusion equation. - Xiaoli Sun; Min Li 024; Weiqiang Zhang (Comput. Math. Appl., 2011)

Variational Image Decomposition in Shearlet Smoothness Spaces. - Min Li 024; Xiaoli Sun; Chen Xu 004 (CIS, 2014)

Nonlocal Diffusion Tensor for Visual Saliency Detection. - Xiujun Zhang; Chen Xu 004; Min Li 024 (CIS, 2014)

Lightness biased cartoon-and-texture decomposition for textile image segmentation. - Yu Han 001; Chen Xu 004; George Baciu; Min Li 024 (Neurocomputing, 2015)

Sparse and Low-Rank Coupling Image Segmentation Model Via Nonconvex Regularization. - Xiujun Zhang; Chen Xu 004; Min Li 024; Xiaoli Sun (Int. J. Pattern Recognit. Artif. Intell., 2015)

Study of visual saliency detection via nonlocal anisotropic diffusion equation. - Xiujun Zhang; Chen Xu 004; Min Li 024; Robert K. F. Teng (Pattern Recognit., 2015)

Curvelet Shrinkage Based Iterative Regularization Method for Image Denoising. - Min Li 024; Xiaoli Sun (CIS, 2016)

Motion Segmentation Using Collaborative Low-Rank and Sparse Subspace Clustering. - Yao Zhang; Min Li 024 (CIS, 2017)

Cartoon and Texture Decomposition-Based Color Transfer for Fabric Images. - Yu Han 001; Chen Xu 004; George Baciu; Min Li 024; Md. Robiul Islam 001 (IEEE Trans. Multim., 2017)

Saliency Detection Based on Non-convex Weighted Surrogates. - Yu Yang; Min Li 024; Yao Zhang (ISICDM, 2019)

On Schatten-q quasi-norm induced matrix decomposition model for salient object detection. - Min Li 024; Yao Zhang; Mingqing Xiao 001; Chen Xu 004; Weiqiang Zhang (Pattern Recognit., 2019)

Salient Object Detection Based on Unified Convex Surrogate for Non-Convex Schatten-p Norm. - Min Li 024; Yu Yang; Long Xu 001; Chen Xu 004; Xiaoli Sun (IEEE Access, 2020)

Image decomposition and completion using relative total variation and schatten quasi-norm regularization. - Min Li 024; Weiqiang Zhang; Mingqing Xiao 001; Chen Xu 004 (Neurocomputing, 2021)

Fast Defocus Blur Detection Network via Global Search and Local Refinements. - Xiaoli Sun; Yang Hai; Xiujun Zhang; Chen Xu 004; Min Li 024 (Int. J. Pattern Recognit. Artif. Intell., 2021)

Nonlinear subspace clustering using non-convex Schatten-p norm regularization. - Yunqing Bai; Jihong Pei; Min Li 024 (Int. J. Wavelets Multiresolution Inf. Process., 2022)

Few-Shot Classification With Cross-Feature Fusion. - Guohui Yao; Min Li 024; Dawei Song 001 (ICCCS, 2023)

Skeleton-based Motion Recognition Model by using Graph Convolutional Network and Deep Neural Network. - Ke Chen; Min Li 024; Guohui Yao (ICBDT, 2023)

Unsupervised Learning for Salient Object Detection via Minimization of Bilinear Factor Matrix Norm. - Min Li 024; Yao Zhang; Mingqing Xiao 001; Weiqiang Zhang; Xiaoli Sun (IEEE Trans. Neural Networks Learn. Syst., 2023)

Unified Multi-view Clustering based on Joint Multi-Structure Representation Learning. - Song Huang; Ziming Zeng; Min Li 024; Jianping Wang (MMAsia, 2024)

Nonconvex tensor multiview subspace clustering with bipartite graph regularization. - Min Li 024; Xue Yao; Mingqing Xiao 001; Weiwei Wang (Pattern Recognit., 2026)