A note on the convergence of ADMM for linearly constrained convex optimization problems. - Liang Chen 006; Defeng Sun; Kim-Chuan Toh (Comput. Optim. Appl., 2017)

An efficient inexact symmetric Gauss-Seidel based majorized ADMM for high-dimensional convex composite conic programming. - Liang Chen 006; Defeng Sun; Kim-Chuan Toh (Math. Program., 2017)

A generalized alternating direction method of multipliers with semi-proximal terms for convex composite conic programming. - Yunhai Xiao; Liang Chen 006; Donghui Li (Math. Program. Comput., 2018)

A Three-Operator Splitting Perspective of a Three-Block ADMM for Convex Quadratic Semidefinite Programming and Beyond. - Liang Chen 006; Xiaokai Chang; Sanyang Liu (Asia Pac. J. Oper. Res., 2020)

The Linear and Asymptotically Superlinear Convergence Rates of the Augmented Lagrangian Method with a Practical Relative Error Criterion. - Xin-Yuan Zhao; Liang Chen 006 (Asia Pac. J. Oper. Res., 2020)

On the Convergence Properties of a Second-Order Augmented Lagrangian Method for Nonlinear Programming Problems with Inequality Constraints. - Liang Chen 006; Anping Liao (J. Optim. Theory Appl., 2020)

On the equivalence of inexact proximal ALM and ADMM for a class of convex composite programming. - Liang Chen 006; Xudong Li 004; Defeng Sun; Kim-Chuan Toh (Math. Program., 2021)

Aubin Property and Strong Regularity Are Equivalent for Nonlinear Second-Order Cone Programming. - Liang Chen 006; Ruoning Chen; Defeng Sun; Junyuan Zhu (SIAM J. Optim., 2025)