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谷伟哲 职称：
副教授
院系：
数学系
电子邮箱：
guweizhe@tju.edu.cn
办公地点：
北洋园校区32教429



研究方向 最优化理论与算法；优化方法在统计中的应用；张量互补问题的理论和算法
教育背景 2001.09 - 2005.06 天津大学 学士
2005.09 - 2007.06 天津大学 硕士
2007.09 - 2010.06 天津大学 博士
工作经历 2010.09 - 2014.06 天津大学理学院 讲师
2014.09 - 今 天津大学数学学院 副教授
2011.04-2011.06赴台湾国立师范大学 访问****
2013.02-2014.01赴加拿大汤姆逊河大学 访问****

教学工作 开设课程
本科生课程 《高等数学》、《线性代数》
研究生课程
学生指导 指导硕士生在读1人
科研工作 基金项目 身份
2014-2016 国家自然科学基金青年项目：多维标度优化模型的算法研究及其在节点定位中的应用 负责人
2013-2015 教育部项目：多维标度优化模型的算法研究及其在节点定位中的应用 负责人
2011-2012 天津市社科项目：基于优化方法的校正理论与算法 负责人
文章著作 列表附后

主要荣誉
学术兼职 无
其它
发表论文 点击下载
1.Weizhe Gu, Wei-Po Chen, Chun-Hsu Ko,Yuh-Jye Lee and Jein-Shan Chen, Two smooth support vector machines for e-insensitive regression, Computational Optimization and Applications, vol.70(2018), no. 1, pp 171-199
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2.Mohamed A. Tawhid, Wei-Zhe Gu and Benjamin Tran, A descent algorithm for generalized complementary problems based on generalized Fisher-Burmeister functions, Computational and Applied Mathematics, vol 37, no 1 (2018), pp 1-26
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3.Gu Wei-Zhe and Lu Li-Yong*, The Linear convergence of a derivative-free descent methodfor nonlinear complementarity problems. Journal of Industrial and ManagementOptimization, 13(2)( 2017), 531-548.

4.Mohamed A. Tawhid, Gu Wei-Zhe* and Benjamin Tran, A descent algorithm for generalized complementarity problems based on generalized Fisher-Burmeister functions, Computational and Applied Mathematics, 2017.

5.Mohamed A. Tawhid and Gu Wei-Zhe*, Global error for generalized complementarity problems based on generalized Fisher-Burmeister function, Applied Mathematics and Information Sciences, 10(1):135-142, 2016.

6.Gu Wei-Zhe and Huang Zheng-Hai*, A homogeneous smoothing-type algorithm for symmetric cone linear programs，ActaMathematicaeApplicataeSinica, 30(3): 647-662, 2014.

7.Gu Wei-Zhe and Mohamed A.Tawhid Further application of H-differentiability to generalized complementarity problems based on generalized Fisher-Burmeister functions，Abstract and Applied Analysis, 2014.

8.Gu Wei-Zhe and Mohamed A. Tawhid, Generalized complementarity problems based on generalized Fisher-Burmeister functions as unconstrained optimijzation, Advanced Modeling and Optimization, 16(2):269-284, 2014.

9.Ni Tie, Gu Wei-Zhe* and Zhai Jun, An inexact smoothing-type algorithm for support vector machines, Neurocomputing, 129:127-135, 2014.

10.Gu Wei-Zhe*, Zhai Jun and Wang Wei, Calibration Estimation via a Smoothing Newton Method, Accepted, WSEAS Transactions on Mathematics, 12(3):329-340, 2013.

11.Yu-Lin Chang，Jein-Shan Chen* and Gu Wei-Zhe, On the H-differentiability of Lowner function with application in symmetric cone complementarity problem, Journal of Nonlinear Convex Analysis, 14（2）：231-243 2013.

12..Lu Li-Yong, Gu Wei-Zhe* and Wang Wei , A regularization semismooth Newton method for P_0-NCPs with a non-monotone line search. Numerical Mathematics: Theory , Methods and Applications, 5(2):186-204, 2012.

13.Lu Li-Yong and Gu Wei-Zhe*, A non-interior continuation algorithm for the CP based on ageneralized smoothing function. Journal of Computational and Applied Mathematics. 2011, 235:2300-2313.

14.Liu Xiao-Hong* and Gu Wei-Zhe, Smoothing Newton algorithm based on a regularizedone-parametric class of smoothing functions for generalized complementarity problems over symmetric cones. Journal of Industrial and Management Optimization, 2010, 6:363-380

15.Huang Zheng-Hai* and Gu Wei-Zhe, A smooth-type algorithm for solving linearcomplementarity problems with strong convergence properties. Applied Mathematics andOptimization, 2008, 57:17-29