A note on the convergence of alternating proximal gradient method. - Miantao Chao; Caozong Cheng (Appl. Math. Comput., 2014)

On proximal gradient method for the convex problems regularized with the group reproducing kernel norm. - Haibin Zhang; Juan Wei; Meixia Li; Jie Zhou; Miantao Chao (J. Glob. Optim., 2014)

A Linearized Alternating Direction Method of Multipliers with Substitution Procedure. - Miantao Chao; Caozong Cheng; Haibin Zhang (Asia Pac. J. Oper. Res., 2015)

Convergence of Linear Bregman ADMM for Nonconvex and Nonsmooth Problems with Nonseparable Structure. - Miantao Chao; Zhao Deng; Jinbao Jian (Complex., 2020)

A QCQP-based splitting SQP algorithm for two-block nonconvex constrained optimization problems with application. - Jinbao Jian; Pengjie Liu; Jianghua Yin; Chen Zhang; Miantao Chao (J. Comput. Appl. Math., 2021)

An inertial Bregman generalized alternating direction method of multipliers for nonconvex optimization. - Jiawei Xu; Miantao Chao (J. Appl. Math. Comput., 2022)

An inertial alternating minimization with Bregman distance for a class of nonconvex and nonsmooth problems. - Miantao Chao; Feifan Nong; Meiyu Zhao (J. Appl. Math. Comput., 2023)

A Method of Inertial Regularized ADMM for Separable Nonconvex Optimization Problems. - Miantao Chao; Yueqi Geng; Yongxin Zhao (Soft Comput., 2023)

Generalized Newton Method with Positive Definite Regularization for Nonsmooth Optimization Problems with Nonisolated Solutions. - Zijian Shi; Miantao Chao (J. Optim. Theory Appl., 2024)

An efficient regularized PR splitting type algorithm for two-block nonconvex linear constrained programs in ℓ1/2 regularized compressed sensing problems. - Miantao Chao; Yongzi Lu; Jinbao Jian; Xiao Xu (J. Comput. Appl. Math., 2025)

An implementable descent method for nonsmooth multiobjective optimization on Riemannian manifolds. - Chunming Tang 002; Hao He; Jinbao Jian; Miantao Chao (Optim. Methods Softw., 2025)