Professor | Liang Chen | Asia Growth Partners

Name	Liang Chen
Contact Information	chl@hnu.edu.cn
Language ability	Chinese, English
Province	Hunan

Name

Liang Chen

Contact Information

chl@hnu.edu.cn

Language ability

Chinese, English

Province

Hunan

University/Lab Affiliation and Title	Hunan University
Faculty	Mathematical Sciences
Academic Background & Achievements	2005-2009: Bachelor of Science, Hunan University 2009-2016: PhD in Science, Hunan University 2013-2015: Joint PhD training, National University of Singapore
Work Experience	2017-02 to 2017-08: Research Fellow, National University of Singapore 2017-09 to 2019-08: Postdoctoral Fellow, Hong Kong Polytechnic University 2023-02 to 2023-08: Research Fellow, Hong Kong Polytechnic University
Awards	2015: Second Prize, Young Excellent Paper, Hunan Province 2020: First Prize, Young Excellent Paper, Hunan Province 2021: Outstanding Undergraduate Thesis Advisor, Hunan University 2023: First Prize, Young Excellent Paper, Hunan Province

University/Lab Affiliation and Title

Hunan University

Faculty

Mathematical Sciences

Academic Background & Achievements

2005-2009: Bachelor of Science, Hunan University
2009-2016: PhD in Science, Hunan University
2013-2015: Joint PhD training, National University of Singapore

Work Experience

2017-02 to 2017-08: Research Fellow, National University of Singapore
2017-09 to 2019-08: Postdoctoral Fellow, Hong Kong Polytechnic University
2023-02 to 2023-08: Research Fellow, Hong Kong Polytechnic University

Awards

2015: Second Prize, Young Excellent Paper, Hunan Province
2020: First Prize, Young Excellent Paper, Hunan Province
2021: Outstanding Undergraduate Thesis Advisor, Hunan University
2023: First Prize, Young Excellent Paper, Hunan Province

Areas of Focus	Mathematical/Computational Optimization Linear and Nonlinear Programming Convex Programming Matrix Optimization Statistical Optimization Operations Research
Publications	An efficient inexact symmetric Gauss-Seidel based majorized ADMM for high-dimensional convex composite conic programming, Liang Chen, Defeng Sun, and Kim-Chuan Toh, 2017 A note on the convergence of ADMM for linearly constrained convex optimization problems, Liang Chen, Defeng Sun, and Kim-Chuan Toh, 2017 A generalized alternating direction method of multipliers with semi-proximal terms for convex composite conic programming, Yunhai Xiao, Liang Chen, and Donghui Li, 2018 Some problems on the Gauss-Seidel iteration method in degenerate cases, Liang Chen, Defeng Sun, and Kim-Chuan Toh, 2019 A unified algorithmic framework of symmetric Gauss-Seidel decomposition based proximal ADMMs for convex composite programming, Liang Chen, Defeng Sun, Kim-Chuan Toh, and Ning Zhang, 2019 The linear and asymptotically superlinear convergence rates of the augmented Lagrangian method with a practical relative error criterion, Xin-Yuan Zhao, Liang Chen, 2020 A three-operator splitting perspective of a three-block ADMM for convex quadratic semidefinite programming and beyond, Liang Chen, Xiaokai Chang, and Sanyang Liu, 2020 On the convergence properties of a second-order augmented Lagrangian method for nonlinear programming problems with inequality constraints, Liang Chen, Anping Liao, 2020 On the equivalence of inexact proximal ALM and ADMM for a class of convex composite programming, Liang Chen, Xudong Li, Defeng Sun, and Kim-Chuan Toh, 2021 A modified exchange algorithm for distributional robust optimization and applications in risk management, Hailin Sun, Dali Zhang, Soon-Yi Wu, and Liang Chen, 2022 Unified convergence analysis of a second-order method of multipliers for nonlinear conic programming, Liang Chen, Junyuan Zhu, and Xinyuan Zhao, 2022 High-resolution short angle weight algorithm in sonar systems, Haoran Ji, Lei Wang, Cong Peng, Liang Chen, Shuhao Zhang, and Qian Zhou, 2023 Stochastic domain decomposition based on variable-separation method, Liang Chen, Yaru Chen, Qiuqi Li, and Zhiwen Zhang, 2024

Areas of Focus

Mathematical/Computational Optimization
Linear and Nonlinear Programming
Convex Programming
Matrix Optimization
Statistical Optimization
Operations Research

Publications

An efficient inexact symmetric Gauss-Seidel based majorized ADMM for high-dimensional convex composite conic programming, Liang Chen, Defeng Sun, and Kim-Chuan Toh, 2017
A note on the convergence of ADMM for linearly constrained convex optimization problems, Liang Chen, Defeng Sun, and Kim-Chuan Toh, 2017
A generalized alternating direction method of multipliers with semi-proximal terms for convex composite conic programming, Yunhai Xiao, Liang Chen, and Donghui Li, 2018
Some problems on the Gauss-Seidel iteration method in degenerate cases, Liang Chen, Defeng Sun, and Kim-Chuan Toh, 2019
A unified algorithmic framework of symmetric Gauss-Seidel decomposition based proximal ADMMs for convex composite programming, Liang Chen, Defeng Sun, Kim-Chuan Toh, and Ning Zhang, 2019
The linear and asymptotically superlinear convergence rates of the augmented Lagrangian method with a practical relative error criterion, Xin-Yuan Zhao, Liang Chen, 2020
A three-operator splitting perspective of a three-block ADMM for convex quadratic semidefinite programming and beyond, Liang Chen, Xiaokai Chang, and Sanyang Liu, 2020
On the convergence properties of a second-order augmented Lagrangian method for nonlinear programming problems with inequality constraints, Liang Chen, Anping Liao, 2020
On the equivalence of inexact proximal ALM and ADMM for a class of convex composite programming, Liang Chen, Xudong Li, Defeng Sun, and Kim-Chuan Toh, 2021
A modified exchange algorithm for distributional robust optimization and applications in risk management, Hailin Sun, Dali Zhang, Soon-Yi Wu, and Liang Chen, 2022
Unified convergence analysis of a second-order method of multipliers for nonlinear conic programming, Liang Chen, Junyuan Zhu, and Xinyuan Zhao, 2022
High-resolution short angle weight algorithm in sonar systems, Haoran Ji, Lei Wang, Cong Peng, Liang Chen, Shuhao Zhang, and Qian Zhou, 2023
Stochastic domain decomposition based on variable-separation method, Liang Chen, Yaru Chen, Qiuqi Li, and Zhiwen Zhang, 2024

Optimization Computational Linear Nonlinear Convex Matrix Statistical Operations Research Programming

Jiansheng Yang - Peking University

Cheng Zhang - Peking University

Hu Xinqi - Wuhan University

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