An ADM-based splitting method for separable convex programming. - Deren Han; Xiaoming Yuan 001; Wenxing Zhang; Xingju Cai (Comput. Optim. Appl., 2013)

An improved first-order primal-dual algorithm with a new correction step. - Xingju Cai; Deren Han; Lingling Xu (J. Glob. Optim., 2013)

On the O(1/t) convergence rate of the projection and contraction methods for variational inequalities with Lipschitz continuous monotone operators. - Xingju Cai; Guoyong Gu; Bingsheng He (Comput. Optim. Appl., 2014)

A fast splitting method tailored for Dantzig selector. - Hongjin He; Xingju Cai; Deren Han (Comput. Optim. Appl., 2015)

A class of nonlinear proximal point algorithms for variational inequality problems. - Hongjin He; Xingju Cai; Deren Han (Int. J. Comput. Math., 2015)

On the convergence of the direct extension of ADMM for three-block separable convex minimization models with one strongly convex function. - Xingju Cai; Deren Han; Xiaoming Yuan 001 (Comput. Optim. Appl., 2017)

Comparison of several fast algorithms for projection onto an ellipsoid. - Zehui Jia; Xingju Cai; Deren Han (J. Comput. Appl. Math., 2017)

A tri-level optimization model for a private road competition problem with traffic equilibrium constraints. - Yan Gu; Xingju Cai; Deren Han; David Z. W. Wang (Eur. J. Oper. Res., 2019)

A proximal point algorithm with asymmetric linear term. - Xingju Cai (Optim. Lett., 2019)

Solving a Class of Variational Inequality Problems with a New Inexact Strategy. - Xiaomei Dong; Xingju Cai; Deren Han; Zhili Ge (Asia Pac. J. Oper. Res., 2020)

Solving policy design problems: Alternating direction method of multipliers-based methods for structured inverse variational inequalities. - Yaning Jiang; Xingju Cai; Deren Han (Eur. J. Oper. Res., 2020)

A Gauss-Seidel type inertial proximal alternating linearized minimization for a class of nonconvex optimization problems. - Xue Gao; Xingju Cai; Deren Han (J. Glob. Optim., 2020)

Preface. - Xingju Cai; Min Li 028; Guanghui Wang; Dachuan Xu (Asia Pac. J. Oper. Res., 2021)

An extended proximal ADMM algorithm for three-block nonconvex optimization problems. - Chun Zhang; Yongzhong Song; Xingju Cai; Deren Han (J. Comput. Appl. Math., 2021)

Proximal-like incremental aggregated gradient method with Bregman distance in weakly convex optimization problems. - Zehui Jia; Jieru Huang; Xingju Cai (J. Glob. Optim., 2021)

Local Linear Convergence of the Alternating Direction Method of Multipliers for Nonconvex Separable Optimization Problems. - Zehui Jia; Xue Gao; Xingju Cai; Deren Han (J. Optim. Theory Appl., 2021)

Approximate first-order primal-dual algorithms for saddle point problems. - Fan Jiang; Xingju Cai; Zhongming Wu; Deren Han (Math. Comput., 2021)

A first-order inexact primal-dual algorithm for a class of convex-concave saddle point problems. - Fan Jiang; Zhongming Wu; Xingju Cai; Hongchao Zhang (Numer. Algorithms, 2021)

Self-Adaptive Inertial Projection and Contraction Algorithm for Monotone Variational Inequality. - Xue Gao; Xingju Cai; Xueye Wang (Asia Pac. J. Oper. Res., 2022)

Optimal mixed charging schemes for traffic congestion management with subsidy to new energy vehicle users. - Zhongming Wu; Xingju Cai; Min Li; Leyu Hu (Int. Trans. Oper. Res., 2022)

An efficient partial parallel method with scaling step size strategy for three-block convex optimization problems. - Yaning Jiang; Deren Han; Xingju Cai (Math. Methods Oper. Res., 2022)

Unified linear convergence of first-order primal-dual algorithms for saddle point problems. - Fan Jiang; Zhongming Wu; Xingju Cai; Hongchao Zhang (Optim. Lett., 2022)

Majorized iPADMM for Nonseparable Convex Minimization Models with Quadratic Coupling Terms. - Yumin Ma; Ting Li; Yongzhong Song; Xingju Cai (Asia Pac. J. Oper. Res., 2023)

An alternating structure-adapted Bregman proximal gradient descent algorithm for constrained nonconvex nonsmooth optimization problems and its inertial variant. - Xue Gao; Xingju Cai; Xiangfeng Wang; Deren Han (J. Glob. Optim., 2023)

Inexact asymmetric forward-backward-adjoint splitting algorithms for saddle point problems. - Fan Jiang; Xingju Cai; Deren Han (Numer. Algorithms, 2023)

Improved variance reduction extragradient method with line search for stochastic variational inequalities. - Ting Li; Xingju Cai; Yongzhong Song; Yumin Ma (J. Glob. Optim., 2023)

Novel clustered federated learning based on local loss. - Endong Gu; Yongxin Chen; Hao Wen; Xingju Cai; Deren Han (CoRR, 2024)

Stochastic alternating structure-adapted proximal gradient descent method with variance reduction for nonconvex nonsmooth optimization. - Zehui Jia; Wenxing Zhang; Xingju Cai; Deren Han (Math. Comput., 2024)

Improved Accelerated Gradient Algorithms with Line Search for Smooth Convex Optimization Problems. - Ting Li; Yongzhong Song; Xingju Cai (Asia Pac. J. Oper. Res., 2024)

Convergence rate of inexact augmented Lagrangian method with practical relative error criterion for composite convex programming. - Yunfei Qu; Xingju Cai; Hongying Liu; Deren Han (Comput. Optim. Appl., 2025)

Quasi-Newton type proximal gradient method for nonconvex nonsmooth composite optimization problems. - Tanxing Wang; Yaning Jiang; Xingju Cai (J. Glob. Optim., 2025)