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Li Min

  • Educational level:

  • Professional titles: Professor

  • Telephone:0755-26530939

  • Email:

  • Address:Room 442,Huixing Building

Educational level Ph.D. in Applied Mathematics Professional titles Professor
Professional titles 0755-26530939 Email
Address Room 442,Huixing Building Personal Profile She is a member of the China Society for Industrial and Applied Mathematics, the Chinese Association for Artificial Intelligence, and serves as a council member of the Shenzhen Mathematical Society. Her research focuses on mathematical theories and algorithms for image processing, pattern recognition, intelligent computing, and numerical analysis. She has published over 30 academic papers in prestigious journals such as Neurocomputing, IEEE Transactions on Neural Networks and Learning Systems, Pattern Recognition, Applied Mathematical Modelling, and Acta Electronica Sinica. She has also authored two monographs and holds seven authorized patents and software copyrights.
Educational experience Ph.D. in Applied Mathematics, Xidian University, 2008 Work experience 2008/09–Present Shenzhen University, School of Mathematical Sciences <br>
Research Field Mathematical theories and algorithms for image processing, pattern recognition, intelligent computing and numerical analysis Honors obtained
Academic Programs Scientific research 1.Min Li, Xue Yao,Mingqing Xiao, Weiwei Wang.Nonconvex tensor multiview subspace
clustering with bipartite graph regularization, Pattern Recognition,169(111818),2026.<br>
2. Min Li, Jianping Wang, Jian Lu, Mingqing Xiao. Weighted learning via logarithmic sparsity and hyper-laplacian regularization for multi-view subspace clustering, Neurocomputing, 681(133358),2026.<br>
3.Min Li, Huanran Hu,Ming Yang,Yu Han.Nonconvex low-rank regularization method for video snapshot compressive imaging, Applied Mathematical Modelling,137(115645),2025.<br>
4.Min Li,Yao Zhang,Mingqing Xiao,Weiqiang Zhang,Xiaoli Sun.Unsupervised learning for salient object detection via minimization of bilinear factor matrix norm,IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(3): 1354-1366.<br>
5.Li Min,Zhang Weiqiang,Xiao Mingqing,Xu Chen.Image decomposition and completion using relative total variation and schatten quasi-norm regularization,Neurocomputing,458: 639-654,2021.<br>
6.Min Li,Yao Zhang,Mingqing Xiao,Chen Xu,Weiqiang Zhang.On Schatten-q quasinorm induced matrix decomposition model for salient object detection,Pattern Recognition,96: 1-12,2019.<br></p>

Personal Profile

Li Min is a Professor, Doctoral Supervisor, a member of the China Society for Industrial and Applied Mathematics, a member of the Chinese Association for Artificial Intelligence, and a council member of the Shenzhen Mathematical Society. She has long been engaged in research on mathematical theories and algorithms for image processing, pattern recognition, intelligent computing, and numerical analysis. She has successively led 3 projects funded by the National Natural Science Foundation of China (NSFC), 2 provincial-level projects, and 5 municipal-level projects. She has published over 30 academic papers in prestigious domestic and international journals such as Neurocomputing, IEEE Transactions on Neural Networks and Learning Systems, Pattern Recognition, Applied Mathematical Modelling, and Acta Electronica Sinica. She has also authored two monographs and holds 7 authorized applied patents and software copyrights.

Educational experience

  • Ph.D. in Applied Mathematics, Xidian University, 2008

Work experience

  • 2008/09–Present Shenzhen University, School of Mathematical Sciences

Research Field

  • Mathematical theories and algorithms for image processing, pattern recognition, intelligent computing and numerical analysis

Honors obtained

Academic Programs

Scientific research

  • 1.Min Li, Xue Yao,Mingqing Xiao, Weiwei Wang.Nonconvex tensor multiview subspace clustering with bipartite graph regularization, Pattern Recognition,169(111818),2026.
    2. Min Li, Jianping Wang, Jian Lu, Mingqing Xiao. Weighted learning via logarithmic sparsity and hyper-laplacian regularization for multi-view subspace clustering, Neurocomputing, 681(133358),2026.
    3.Min Li, Huanran Hu,Ming Yang,Yu Han.Nonconvex low-rank regularization method for video snapshot compressive imaging, Applied Mathematical Modelling,137(115645),2025.
    4.Min Li,Yao Zhang,Mingqing Xiao,Weiqiang Zhang,Xiaoli Sun.Unsupervised learning for salient object detection via minimization of bilinear factor matrix norm,IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(3): 1354-1366.
    5.Li Min,Zhang Weiqiang,Xiao Mingqing,Xu Chen.Image decomposition and completion using relative total variation and schatten quasi-norm regularization,Neurocomputing,458: 639-654,2021.
    6.Min Li,Yao Zhang,Mingqing Xiao,Chen Xu,Weiqiang Zhang.On Schatten-q quasinorm induced matrix decomposition model for salient object detection,Pattern Recognition,96: 1-12,2019.

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