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Correspondence Biography Interests Publications


  Correspondence

  • Name:   Lan Bai
  • E-mail:   imubailan@163.com
  • Address:   School of Mathematical Sciences, Inner Monggolia University, Hohhot, 010021, China

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    Biography

    Lan Bai received her DoctorĄŻs degree in College of Mathematics from Jilin University, China, in 2014. Currently, she is lecturer in School of Mathematical Sciences from Inner Monggolia University. Her research interests include pattern recognition, feature selection , and clustering.

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      Research Interests

  • Optimization Theory and Application

         Linear Programming and Combinatorics

         Mathematical analysis of SVM

         SVM solving optimization problems

  • ML/DM topics

         Supervised learning

         Multi-instance learning

         Dimensionality reduction and feature selection

  • Applications

         Text classification

         Image recognition and face recognition

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    Publications


  • L. Bai, et al. Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding. Knowledge-Based Systems, 2019, 163: 227-240. (SCI)
  • L. Bai, et al. Reversible discriminant analysis. IEEE Access, 2018, 6: 72551-72562. (SCI)
  • L. Bai, et al. Research into the weighted k-nearest neighbor method for regression. Journal of Chinese Computer Systems, 2016, 37(7): 1557-1561. (in Chinese)
  • L. Bai, et al. A novel feature selection method for twin support vector machine. Knowledge-Based Systems, 59: 1-8, 2014. (SCI)
  • Zhen Wang, Y.H. Shao, L. Bai, et al. Insensitive stochastic gradient twin support vector machines for large scale problems. Information Sciences, 2018, 462: 114-131. [Code]. (SCI)
  • Zhen Wang, Y.H. Shao, L. Bai, Chun-Na Li, Li-Ming Liu, N.Y. Deng. MBLDA: A novel multiple between-class linear discriminant analysis. Information Sciences, 2016, 369: 199-220. [Code]. (SCI)
  • Zhen Wang, Y.H. Shao, L. Bai, N.Y. Deng. Twin support vector machine for clustering. IEEE Transactions on Neural Networks and Learning Systems, 2015, DOI: 10.1109/TNNLS.2014.2379930. [Code]. (SCI)
  • Y.H. Shao, L. Bai, Zhen Wang, X.Y. Hua, N.Y. Deng. Proximal plane clustering via eigenvalues. Procedia Computer Science(IAITQM), 2013,17: 41¨C47.
  • Y.F. Ye, H. Cao, L. Bai, Zhen Wang, Y.H. Shao. Exploring determinants of inflation in China based on L1-epsilon-twin support vector regression. Procedia Computer Science (IAITQM), 2013,17:514¨C522.

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