![](/__local/0/7A/97/BFE4CBD349F5586B22411F353DB_3591F742_12AD8.png)
Name: Bing Li
Position title: Associate Professor
Research interests: Feature Selection Algorithms and Applications, Pattern Recognition, Complex Networks, Intelligent Planning
Email: lib675@whut.edu.cn
Education Experience
2002/09 - 2006/07 Northeast Normal University, Computer Science and Technology
2006/09 - 2009/07 Northeast Normal University, Computer Application Technology, Master
2010/09 - 2013/12 City University of Hong Kong, Department of Electrical Engineering, Ph.D
Work Experience
2013/12-Now Wuhan University of Technology, Associate Professor
Publication
1. Bing Li, Guanrong Chen, Tommy W.S. Chow, Naming Game with Multiple Hearers, Communications in Nonlinear Science and Numerical Simulation, 2013, 18(5): 1214-1228.
2. Bing Li, Tommy W. S. Chow, Di Huang, A novel feature selection method and its application, Journal of Intelligent Information Systems, 2013, 41(2):235-268.
3. Bing Li, Tommy W. S. Chow, Peng Tang, Analyzing rough set based attribute reductions by extension rule, Neurocomputing, 2014,123,185-196.
4. Wenxiang Gu, Bing Li*, Effective method for constrained minimum - reverse bridge theorem, Computers & Mathematics with Applications, 2008, 56(10): 2629-2637.
5. Mingbo Zhao , Zhao Zhangb, Tommy W.S. Chow, Bing Li*, Soft Label based Linear Discriminant Analysis for Image Recognition and Retrieval, Computer Vision and Image Understanding, 2014, 121: 86–99.
6. Bernard Chiu, Bing Li, Tommy W S Chow, Novel 3D Ultrasound Image-Based Biomarkers Based on Feature Selection from 2D Standardized Vessel Wall Thickness Map: A Tool for Sensitive Assessment of Therapies for Carotid Atherosclerosis, Physics in Medicine and Biology, 2013, 58:5959-5982.
7. Mingbo Zhao, Zhao Zhangb, Tommy W.S. Chow, Bing Li, A general soft label based linear discriminant analysis for semi-supervised dimensionality reduction, Neural Networks.
8. Mingbo Zhao, Xiaohang Jin, Zhao Zhang, Bing Li,Fault Diagnosis of Rolling Element Bearings via Discriminative Subspace Learning: Visualization and Classification,Expert Systems with Applications, 2014, 41(7): 3391–3401.