Areas of Focus
- Mathematical/Computational Optimization
- Linear and Nonlinear Programming
- Convex Programming
- Matrix Optimization
- Statistical Optimization
- Operations Research
Work Experience
- 2017-02-01—2017-08-31, National University of Singapore, Research Fellow
- 2017-09-01—2019-08-31, Hong Kong Polytechnic University, Postdoctoral Fellow
- 2023-02-01—2023-08-31, Hong Kong Polytechnic University, Research Fellow
Academic Background & Achievements
- 2005-09-01—2009-06-18, Bachelor of Science: Hunan University, School of Mathematics and Econometrics
- 2009-09-01—2016-12-27, Doctor of Science: Hunan University, School of Mathematics and Econometrics
- 2013-08-01—2015-07-31, Joint PhD Student: National University of Singapore, Department of Mathematics
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
Awards
- 2015.12, Second Prize: Hunan Province Computational Mathematics and Application Software Society Young Outstanding Paper
- 2020.12, First Prize: Hunan Province Computational Mathematics and Application Software Society Young Outstanding Paper
- 2021.6, Outstanding Undergraduate Thesis Advisor: Hunan University
- 2023.4, First Prize: Hunan Province Computational Mathematics and Application Software Society Young Outstanding Paper
