陈彩华 - 南京大学 - 工程管理学院

个人简介

教授(2020年12月起)，南京大学理学博士，新加坡国立大学联合培养博士，曾赴新加坡国立大学、香港中文大学等高校学习与访问。主持/完成多项国家和省自然科学基金项目，代表作发表于Mathematical Programming，SIAM系列杂志,NeurIPS，CVPR等国际知名学术期刊和会议。获华人数学家联盟最佳论文奖(2017、2018)，中国运筹学会青年科技奖(2018)，江苏省工业与应用数学学会青年奖(2020),南京大学青年五四奖章(2019)，入选首批南京大学仲英青年学者(2017)、南京大学青年名师名课培养计划(2020)及江苏省社科优青(2019)。主讲及参与的课程包括：数据分析与决策导论（线下）、应用统计（线下）、随机优化理论及应用（线下）、应用统计与R语言(MOOC，2021春上线）、最优化理论与方法(MOOC，预计2022春上线)、研究生学术规范与学术诚信 MOOC，2021秋上线)，指导的本科生多次获得美国大学生数学建模竞赛Finalist等奖励。

研究领域

1 优化理论、算法与应用 2 高维数据分析 3.机器学习/在线学习 4 计算管理科学/金融

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Optimization 1.C.H.Chen, B.S. He, and X.M. Yuan*. Matrix completion via an alternating direction method. IMA Journal of Numerical Analysis,32(1):227–245, 2012. [ESI高被引论文] 2.C.H. Chen, R. Y. Sun and Y. Y. Ye*. On convergence of themulti-block alternating direction method of multipliers, The 8th International Congress on Industrial and Applied Mathematics, Beijing, China,10-14, August 2015. [Invited Lecture Paper at ICIAM-8] 3.C.H. Chen, R. Chan, S. Q. Ma and J. F. Yang* . Inertial proximal alternating directionmethod of multipliers for linearly constrained separable convex optimization. SIAM Journal on Imaging Science,2015, 8(4), 2239-2267, 2015. [ESI高被引论文，2017年华人数学家联盟杰出论文奖]. 4.C.H. Chen, S. Q. Ma and J. F. Yang*. A general inertial proximal point method formixed variational inequality problem. SIAM Journal on Optimization, 25(4):2120-2142, 2015. 5.C.H. Chen*, Y. J. Liu, D. F. Sun and K. C. Toh. A Semismooth Newton-CG Based Dual PPA for Matrix Spectral Norm Approximation Problems. Mathematical Programming,Ser. A,155:435-470,2016. 6.C.H. Chen*, B.S. He, Y.Y. Ye and X.M. Yuan. The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent.Mathematical Programming,Ser. A,155:57-79,2016. [ESI高被引论文，2018年华人数学家联盟杰出论文奖] 7.C.H. Chen, M. Li, X. Liu* and Y.Y. Ye. Extended ADMM and BCD for Nonseparable Convex Minimization Models with Quadratic Coupling Terms: Convergence Analysis and Insights. Mathematical Programming, Ser. A,online published, 2019. Machine Learning 8.Y. Zhao, Y.W. Wu, C.H. Chen* and A. Lim. On ismometry robustness of deep 3D point cloud models under adversarial attacks, CVPR, 2020. 9. J.J. Li, C.H. Chen* and A.M.C.So. Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine, NeurIPS, 2020. Applications in Management Science 10.X.H. Ding, C.H. Chen*, C.S. Li and A. Lim.Product Demand Estimation for Vending Machines Using Video Surveillance Data: A Group-Lasso Method. Transportation Research Part E: Logistics and Transportation Review, 2021. 11.C.H. Chen*,D.D. Ge, and Y.Y. Ye. Optimization and Operations Research in Mitigation of a Pandemic. Journal of the Operations Research Society of China,2021. 2. Working Manuscript 1. C.H. Chen, X.D. Li, C. Tolman, S.Y. Wang and Y.Y. Ye. Sparse portfolio selection via quasi-norm regularization, 2016. 2. Y.W. Wu, C.H. Chen, C.S. Li and A.Lim. Fast Linear Programming Approaches for Solving Markov Decision Processes in Sequential Decision Making, 2019. 3. H.W. Zhang, C.H. Chen, S.H. Dong and L.B. Zhang. Generalized additive model (GAM) based crossion growth prediction models using mass in-line inspection data, 2019. 4. Q. Zhang, C.H. Chen, H.K Liu, A.M.C. So and Z.R. Zhou. On the linear convergence of ADMM for low-rank matrix recovery, 2018. 5. C.H. Chen, X.M. Yuan, J. Zhang and S.Z. Zeng. Splitting augmented lagraingian methods for mathematical programs with equilibrium constraints, 2019. 6. J.J. Li, S. Huang, C.H. Chen and A.M.C. So. A First-Order Algorithmic Framework for Wasserntein Distributionally Robust Logistic Regression, 2020.

学术兼职

1.《Management Science》、《Operations Research》、《Mathematical Programming》、《SIAM Journal on Optimization》等期刊审稿人。 2. Journal of Industrial and Management Optimization编委 3. 江苏省运筹学会理事。 4. 中国运筹学会数学规划分会理事。 5. 中国运筹学会金融工程与与金融风险管理分会理事。