Faculty

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Li min

  • Educational level:Ph.D. and above

  • Professional titles: Associate Professor

  • Telephone:0755-26530939

  • Email:

  • Address:Room 442,Huixing Building

Educational level Professional titles Associate Professor
Professional titles 0755-26530939 Email
Address Room 442,Huixing Building Personal Profile
Educational experience Work experience
Research Field The intersection of mathematical methods in image processing, pattern recognition and intelligent computing, mathematics and computer vision Honors obtained
Academic Programs Scientific research 1.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, 34460389:1-13,2021.
2.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.
3.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.
4.Xu Chen,LI Min,Zhang Weiqiang,Sun Xiaoli,Song Yimei. Post-wavelet and variational theory and its application in image restoration, Science Press, 2013.

Personal Profile

李敏，山西人，理学博士，副教授，硕士生导师，中国工业与应用数学学会会员，中国人工智能学会会员。现任深圳大学数学与统计学院副教授、硕士生导师。长期从事图像处理中的数学方法、模式识别和智能计算、数学与计算机视觉的交叉等方面的研究。主持国家自然科学基金3项，省市项目5项。先后在国内外重要期刊发表学术论文30余篇，出版专著2部，申请软件著作权3项。长期担任Neurocomputing、IEEE Transactions on Neural Networks and Learning Systems、Pattern Recognition、IEEE Access、Chinese Journal of Electronics、电子学报等国内外高水平期刊和学术会议的审稿人。

数学与信息技术交叉团队博士后和专职研究人员招聘通知http:/info/1053/3178.htm


Educational experience

Work experience

Research Field

  • The intersection of mathematical methods in image processing, pattern recognition and intelligent computing, mathematics and computer vision

Honors obtained

Academic Programs

Scientific research

  • 1.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, 34460389:1-13,2021. 2.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. 3.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. 4.Xu Chen,LI Min,Zhang Weiqiang,Sun Xiaoli,Song Yimei. Post-wavelet and variational theory and its application in image restoration, Science Press, 2013.

Copyright School of Mathematical Sciences，Shenzhen University

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