Ling-Wei Huang
Ph.D. Candidate in B.A.

OPTIMAL (OPTImization for MAchine interLligence),

Hainan University, China.

 Address:   School of Economics, Hainan University, Haikou 570228, China
 Office:   B418, SheKe Building, Haidian Campus of Hainan University
  Tel:  +86-I5o08O414∞6

Ling-Wei Huang received the B.S. degree in Mathematics and Appleid Mathematics from the School of Mathematics and Econometrics, Hunan University, China, in 2015, and the M.Ec. degree in Statistics from the School of Economics, Hunan University, China, in 2020. He is currently pursuing the Ph.D. degree in Business Administration with the School of Management, Hainan University.

He is broadly interested in support vector machinee and nonparallel support vector machine, nonconvex loss function and optimization methods, eps-insensitive regression and cost-sensitive regression, data mining, and applied machine learning.

  • Xiao-Fang Li, Ling-Wei Huang(co-1st), Yuan-Hai Shao*. TLMM: A fast Majorize-Minimize algorithm for truncated loss classifiers[J]. Submetted. 2022, volume(number): pp-pp.

  • Ju Liu, Ling-Wei Huang, Yuan-Hai Shao*, Wei-Jie Chen, Chun-Na Li. Nonlinear Kernel Support Vector Machine with 0-1 Soft Margin Loss[J]. Submetted. 2022, volume(number): pp-pp.

  • Chun-Na Li, Yuan-Hai Shao*, Nai-Hua Xiu,Hua-Jun Wang, Yu-Ting Zhao, Ling-Wei Huang, Nai-Yang Deng. Single Versus Union: Non-parallel Support Vector Machine Frameworks[J]. Submetted. 2022, volume(number): pp-pp.

  • Jun Zhang, Yuan-Hai Shao*, Ling-Wei Huang, Jia-Ying Teng, Yu-Ting Zhao, Zhu-Kai Yang, Xin-Yang Li. Can Exchange Rate be Used for Forecasting Shanghai Composition Index?[J]. IEEE Access. 2019, 8): 2188-2199.

  • 邵元海, 刘黎明, 邓乃扬*, 黄凌伟. 支持向量机的关键问题和展望[J]. 中国科学: 数学. 2019, 50(9): 1233-1248.

  • Ling-Wei Huang, Yuan-Hai Shao*, Jun-Zhang, Yu-Ting Zhao, Jia-Ying Teng. Robust Rescaled Hinge Loss Twin Support Vector Machine for Imbalanced Noisy Classification[J]. IEEE Access. 2019, 7: 65390-65404.

  • Yuan-Hai Shao, Chun-Na Li*, Ling-Wei Huang, Zhen Wang, Nai-Yang Deng, Yan Xu*. Joint sample and feature selection via sparse primal and dual LSSVM[J]. Knowledge-Based Systems. 2019, 185: 104915.

  • Last update: Apr 14, 2022

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