个人简介
教育背景
2007.09 - 2012.07 博士 中科院数学与系统科学研究院 计算数学与科学工程计算研究所 导师:袁亚湘 院士
2003.09 - 2007.06 学士 山东大学 数学基地班
工作经历
2017.11- 副教授,中国科学院大学数学科学学院
2012.07-2017.11 讲师,中国科学院大学数学科学学院
2019.02-2020.01 研究员,香港理工大学大数据分析中心实验室
2016.04-2017.03 访问学者,美国路易斯安娜州立大学数学系
教授课程
最优化计算方法,数值分析
科研项目
1.主持国家自然科学基金面上项目(2019.01-2022.12)
2.主持第四届中国科协青年人才托举工程项目(2018.01-2020.12)
3.参与国家自然科学基金重点项目(2018.01-2022.12)
4.主持国家自然科学基金青年基金项目(2014.01-2016.12)
5.主持中国博士后科学基金第七批特别资助(2014.08-2015.06)
6.主持第52批中国博士后科学基金面上项目(2012.11 - 2014.11)
7.主持中国科学院大学校长基金A类(2013.06 - 2015.12)
8.主持2013年博士后国际交流计划学术交流项目资助
访问交流
1.2014.11-2015.02 香港中文大学系统工程与工程管理系
2.2014.07-2014.08 香港中文大学系统工程与工程管理系
3.2014.06 北京大学北京国际数学研究中心
4.2013.09-2013.11 香港中文大学系统工程与工程管理系
5.2010.12-2011.01 香港城市大学管理科学系
学术会议
1.2019.07.14-07.19 The 9th International Congress on Industrial and Applied Mathematics (ICIAM2019), Valencia, Spain.
2.2018.07.01-07.06 The 23st International Symposium on Mathematical Programming (ISMP2018), Bordeaux, France.
3.2015.08.10-08.15 The 8th International Congress on Industrial and Applied Mathematics (ICIAM2015), Beijing, China.
4.2015.07.12-07.17 The 22st International Symposium on Mathematical Programming (ISMP2015), Pittsburgh, United States.
5.2014.05.19-05.22 SIAM Conference On optimization (OP14), San Diego, United States.
6.2013.07.27-08.01 The 4th International Conference on Continuous Optimization (ICCOPT2013), Lisbon, Portugal.
7.2013.05.30-06.01 The 1st Chongqing Workshop on Applied and Computational Mathematics (CWACM1), Chongqing, China.
8.2012.08.19-08.24 The 21st International Symposium on Mathematical Programming (ISMP2012), Berlin, Germany.
9.2012.05.13-05.17 The 3rd Conference on Optimization Methods and Software (OMS2012), Chania, Crete, Greece.
10.2011.11.07-11.11 The 8th International Conference on Numerical Linear Algebra and Optimization, Xiamen, China.
11.2011.09.26-09.29 The 5th Sino-Japan Optimization Meeting (SJOM5), Beijing, China.
12.2010.12.10-12.13 The 8th International Conference on Optimization: Techniques and Applications (ICOTA8), Shanghai, China
指导学生
2019- 金玲子
2020- 赵文深
获得荣誉
1. 2020年中国科学院大学“领雁银奖(振翅奖)”
近期论文
查看导师新发文章
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1.F. He, X. Wang and X. Chen, A penalty relaxation method for image processing using Euler's Elastica Model, submitted, 2020.
2.X. Wang and H. Zhang, Inexact proximal stochastic second-order methods for nonconvex composite optimization, Optimization Methods and Software, 35(4), pp 808-835, 2020.
3.Y. Liu, X. Wang and T.D. Guo, A linearly convergent stochastic recursive gradient method for convex optimization, Optimization Letters, DOI: 10.1007/s11590-020-01550-x, 2020.
4.J.N. Wang, X. Wang and L.W. Zhang, A line search stochastic Newton method for nonlinear equations, submitted, 2020.
5.W.Y. Cheng, X. Wang and X. Chen, A stochastic gradient method for nonconvex minimization with non-Lipschitz regularizer, under review, 2019.
6.X.Y. Wang, X. Wang and Y. Yuan, Stochastic Proximal Quasi-Newton methods for Nonconvex Composite Optimization, Optimization Methods and Software, 34, pp 922-948, 2019.
7.X. Wang, S. Wang and H. Zhang, Inexact proximal stochastic gradient method for convex composite optimization, Computational Optimization and Applications, 68, pp 579-618, 2017.
8.X. Wang, S. Ma, D. Goldfarb and W. Liu, Stochastic quasi-Newton methods for nonconvex stochastic optimization, SIAM Journal on Optimization, 27(2), pp 927-956, 2017.
9.X. Wang, S. Ma and Y. Yuan, Penalty Methods with StochasticApproximation for Stochastic Nonlinear Programming, Mathematics of Computation, 86, pp 1793-1820, 2017.
10.X. Liu, Z. Wen, X. Wang, M. Ulbrich and Y. Yuan, On the Analysis of the Discretized Kohn-Sham Density Functional Theory, SIAM journal on Numerical Analysis, 53(4), pp 1758-1785, 2015.
11.X. Wang and H. Zhang, An augmented Lagrangian affine scaling method for nonlinear programming, Optimization Methods and Software, 30(5), 934-964, 2015.
12.X. Wang and Y. Yuan, An augmented Lagrangian trust region method for equality constrained optimization, Optimization Methods and Software, 30(3), pp 559-582, 2015.
13.X. Liu, X. Wang, Z. Wen and Y. Yuan, On the convergence of the self-consistent field iteration in Kohn-Sham density functional theory, SIAM Journal on Matrix Analysis and Applications, 35-2 (2014), pp. 546-558.
14.X. Wang, Y. Yuan, A trust region method based on a new affine scaling technique for simple bounded optimization, Optimization Methods and Software, 28(4), pp 871-888, 2013.
15.X. Huang, Z. Lei, M. Fan, X. Wang and S.Z. Li, A Regularized Discriminative Spectral Regression Method for Heterogeneous Face Matching, IEEE Transaction on Image Processing, 22(1), pp 353-362, 2013.
16.X. Wang, A trust region affine scaling method for bound constrained optimization, Acta Mathematica Sinica, English Series, 29(1), pp 159-182, 2013.
17.王晓,求解一般界约束优化问题的积极集信赖域方法,中国科学,第41 卷,第4 期,377-391,2011.
18.X. Wang, A New Filter Trust Region Method for Nonlinear programming, in Y. Yuan, X. D. Hu and D. G. Liu, eds., Proceedings of the Tenth National Conference of Operation Research Society of China, Global-Link, pp 123-128, Beijing, 2010.
学术兼职
1.中国科学院青年创新促进会会员(2020.1-)
2.中国运筹学会数学规划分会青年理事(2019.5-)
3.北京运筹学会理事(2015.12-)