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.
