张宁

2019年04月17日 10:23

Ning ZHANG,PhD

邮箱:zhangning@dgut.edu.cn

教育背景

2008-2013 大连理工大学 ,数学科学学院,博士

2004-2008 大连理工大学, 应用数学系, 学士

工作经历

2019 - 今 东莞理工学院,计算机科学与技术学院

2018-2019 香港理工大学,应用数学系, 博士后

2015-2018 Singapore-ETH Centre,Future Resilient Systems,博士后

研究方向

数学规划、机器学习、鲁棒优化

基金项目

国家自然科学基金青年科学基金项目,“求解大规模高斯图优化模型有效算法的研究”(11901083),2020.1-2022.12.

论文(2019- )

1.Ning Zhang, Chang Fang*. Saddle point approximation approaches for two-stage robust optimization problems. Journal of Global Optimization(2019): 1-20.

2.Liang Chen, Defeng Sun, Kim-Chuan Toh, Ning Zhang*. A unified algorithmic framework of symmetric Gauss-Seidel decomposition based proximal ADMMs for convex composite programming. Journal of Computational Mathematics, 37 (2019): 739-757.

3.Jingnan Chen, Gengling Dai, Ning Zhang*. An application of sparse-group Lasso regularization to equity portfolio optimization and sector selection. Annals of Operations Research.284(2020):243-262.

4.Yangjing Zhang, Ning Zhang, Defeng Sun*, and Kim-Chuan Toh. An efficient Hessian based algorithm for solving large-scale sparse group Lasso problems.Mathematical Programming, 179 (2020): 223-263.

5.Ning Zhang, Jia Wu*, and Liwei Zhang. A linearly convergent majorized ADMM with indefinite proximal terms for convex composite programming and its applications, Mathematics of Computation.324(2020):1867-1894.

6. Yangjing Zhang, Ning Zhang*, Defeng Sun,Kim Chuan Toh. A proximal point dual Newton algorithm for solving group graphical Lasso problems, SIAM Journal on Optimization, 2020,30(3): 2197-2220.