A new modified extra-gradient method for variational inequality problems. - Deren Han; Hong K. Lo (Neural Parallel Sci. Comput., 2000)

A new stepsize rule in He and Zhou's alternating direction method. - Deren Han; Hong K. Lo (Appl. Math. Lett., 2002)

A new inexact alternating directions method for monotone variational inequalities. - Bingsheng He; Li-Zhi Liao; Deren Han; Hai Yang 003 (Math. Program., 2002)

A New Hybrid Generalized Proximal Point Algorithm for Variational Inequality Problems. - Deren Han (J. Glob. Optim., 2003)

A feasible descent algorithm for solving variational inequality problems. - Deren Han; Hong K. Lo (Math. Methods Oper. Res., 2003)

Solving non-additive traffic assignment problems: A descent method for co-coercive variational inequalities. - Deren Han; Hong K. Lo (Eur. J. Oper. Res., 2004)

Solving Variational Inequality Problems with Linear Constraints by a Proximal Decomposition Algorithm. - Deren Han; Hong K. Lo (J. Glob. Optim., 2004)

Solving linear variational inequality problems by a self-adaptive projection method. - Deren Han (Appl. Math. Comput., 2006)

A new class of projection and contraction methods for solving variational inequality problems. - Deren Han (Comput. Math. Appl., 2006)

An extended alternating direction method for variational inequality problems with linear equality and inequality constraints. - Zhong Zhou; Anthony Chen; Deren Han (Appl. Math. Comput., 2007)

A simple self-adaptive alternating direction method for linear variational inequality problems. - Deren Han; Hong K. Lo; Zhiwei Wang (Comput. Math. Appl., 2007)

A hybrid entropic proximal decomposition method with self-adaptive strategy for solving variational inequality problems. - Deren Han (Comput. Math. Appl., 2008)

On the price of anarchy for non-atomic congestion games under asymmetric cost maps and elastic demands. - Deren Han; Hong K. Lo; Hai Yang 003 (Comput. Math. Appl., 2008)

A self-adaptive projection method with improved step-size for solving variational inequalities. - Xihong Yan; Deren Han; Wenyu Sun (Comput. Math. Appl., 2008)

The toll effect on price of anarchy when costs are nonlinear and asymmetric. - Deren Han; Hong K. Lo; Jie Sun 001; Hai Yang 003 (Eur. J. Oper. Res., 2008)

An operator splitting method for variational inequalities with partially unknown mappings. - Deren Han; Wei Xu; Hai Yang 003 (Numerische Mathematik, 2008)

Extreme diffusion values for non-Gaussian diffusions. - Deren Han; Liqun Qi 001; Ed X. Wu (Optim. Methods Softw., 2008)

Sequential Experimental Approach for Congestion Pricing with Multiple Vehicle Types and Multiple Time Periods. - Wei Xu; Hai Yang; Deren Han (CSO (2), 2009)

A modified projection method with a new direction for solving variational inequalities. - Xihong Yan; Deren Han; Wenyu Sun (Appl. Math. Comput., 2009)

A new alternating direction method for co-coercive variational inequality problems. - Wenxing Zhang; Deren Han (Comput. Math. Appl., 2009)

The efficiency analysis for oligopolistic games when cost functions are non-separable. - Deren Han; Hai Yang 003; Xiaoming Yuan 001 (Int. J. Math. Model. Numer. Optimisation, 2010)

Solving a class of variational inequalities with inexact oracle operators. - Deren Han; Wei Xu; Hai Yang 003 (Math. Methods Oper. Res., 2010)

New ALS Methods With Extrapolating Search Directions and Optimal Step Size for Complex-Valued Tensor Decompositions. - Yannan Chen; Deren Han; Liqun Qi 001 (IEEE Trans. Signal Process., 2011)

An efficient simultaneous method for the constrained multiple-sets split feasibility problem. - Wenxing Zhang; Deren Han; Xiaoming Yuan 001 (Comput. Optim. Appl., 2012)

An improved two-step method for solving generalized Nash equilibrium problems. - Deren Han; Hongchao Zhang; Gang Qian; Lingling Xu (Eur. J. Oper. Res., 2012)

Efficient neural networks for solving variational inequalities. - Suoliang Jiang; Deren Han; Xiaoming Yuan 001 (Neurocomputing, 2012)

Some projection methods with the BB step sizes for variational inequalities. - Hongjin He; Deren Han; Zhibao Li (J. Comput. Appl. Math., 2012)

A Note on the Alternating Direction Method of Multipliers. - Deren Han; Xiaoming Yuan 001 (J. Optim. Theory Appl., 2012)

A New Decomposition Method for Variational Inequalities with Linear Constraints. - Min Zhang; Deren Han; Gang Qian; Xihong Yan (J. Optim. Theory Appl., 2012)

A new partial splitting augmented Lagrangian method for minimizing the sum of three convex functions. - Cuixia Cao; Deren Han; Lingling Xu (Appl. Math. Comput., 2013)

A Progressive equilibration Algorithm for General Market equilibrium Problems under Constraints. - Gang Qian; Hongjin He; Deren Han (Asia Pac. J. Oper. Res., 2013)

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)

A Parallel Splitting Method for Separable Convex Programs. - Kai Wang; Deren Han; Lingling Xu (J. Optim. Theory Appl., 2013)

A hybrid splitting method for variational inequality problems with separable structure. - Hongjin He; Deren Han; Wenyu Sun; Yannan Chen (Optim. Methods Softw., 2013)

Positive Semidefinite Generalized Diffusion Tensor Imaging via Quadratic Semidefinite Programming. - Yannan Chen; Yuhong Dai; Deren Han; Wenyu Sun (SIAM J. Imaging Sci., 2013)

Local Linear Convergence of the Alternating Direction Method of Multipliers for Quadratic Programs. - Deren Han; Xiaoming Yuan (SIAM J. Numer. Anal., 2013)

A proximal parallel splitting method for minimizing sum of convex functions with linear constraints. - Deren Han; Hongjin He; Lingling Xu (J. Comput. Appl. Math., 2014)

An augmented Lagrangian based parallel splitting method for separable convex minimization with applications to image processing. - Deren Han; Xiaoming Yuan 001; Wenxing Zhang (Math. Comput., 2014)

A customized Douglas-Rachford splitting algorithm for separable convex minimization with linear constraints. - Deren Han; Hongjin He; Hai Yang 003; Xiaoming Yuan 001 (Numerische Mathematik, 2014)

Cross-Hill: A heuristic method for global optimization. - Tingting Wu 001; Deren Han; Yi Xu (Appl. Math. Comput., 2015)

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)

A Partial Splitting Augmented Lagrangian Method for Low Patch-Rank Image Decomposition. - Deren Han; Weiwei Kong; Wenxing Zhang (J. Math. Imaging Vis., 2015)

A distributed Douglas-Rachford splitting method for multi-block convex minimization problems. - Hongjin He; Deren Han (Adv. Comput. Math., 2016)

Fiber Orientation Distribution Estimation Using a Peaceman-Rachford Splitting Method. - Yannan Chen; Yuhong Dai; Deren Han (SIAM J. Imaging Sci., 2016)

Linear Convergence of the Alternating Direction Method of Multipliers for a Class of Convex Optimization Problems. - Wei Hong Yang; Deren Han (SIAM J. Numer. Anal., 2016)

A Symmetric Alternating Direction Method of Multipliers for Separable Nonconvex Minimization Problems. - Zhongming Wu; Min Li; David Z. W. Wang; Deren Han (Asia Pac. J. Oper. Res., 2017)

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)

Convergence of alternating direction method for minimizing sum of two nonconvex functions with linear constraints. - Ke Guo; Deren Han; Tingting Wu 001 (Int. J. Comput. Math., 2017)

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

A sequential updating scheme of the Lagrange multiplier for separable convex programming. - Yuhong Dai; Deren Han; Xiaoming Yuan; Wenxing Zhang (Math. Comput., 2017)

Convergence Analysis of Douglas-Rachford Splitting Method for "Strongly + Weakly" Convex Programming. - Ke Guo; Deren Han; Xiaoming Yuan (SIAM J. Numer. Anal., 2017)

Alternating Direction Method of Multipliers for Sparse and Low-Rank Decomposition Based on Nonconvex Nonsmooth Weighted Nuclear Norm. - Zhenzhen Yang; Zhen Yang 001; Deren Han (IEEE Access, 2018)

A note on the Douglas-Rachford splitting method for optimization problems involving hypoconvex functions. - Ke Guo; Deren Han (J. Glob. Optim., 2018)

An Accelerated Three-Term Conjugate Gradient Method with Sufficient Descent Condition and Conjugacy Condition. - XiaoLiang Dong; Deren Han; Zhifeng Dai; Lixiang Li 001; Jianguang Zhu (J. Optim. Theory Appl., 2018)

Linear Rate Convergence of the Alternating Direction Method of Multipliers for Convex Composite Programming. - Deren Han; Defeng Sun; Liwei Zhang (Math. Oper. Res., 2018)

An operator splitting method for monotone variational inequalities with a new perturbation strategy. - Zhili Ge; Deren Han; Qin Ni; David Z. W. Wang (Optim. Lett., 2018)

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)

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)

Optimal parameter for the SOR-like iteration method for solving the system of absolute value equations. - Cairong Chen; Dongmei Yu; Deren Han (CoRR, 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)

Randomized mechanism design for decentralized network scheduling. - Jian Sun 022; Dachuan Xu; Deren Han; Wenjing Hou; Xiaoyan Zhang 001 (Optim. Methods Softw., 2020)

An inexact Douglas-Rachford splitting method for solving absolute value equations. - Cairong Chen; Dongmei Yu; Deren Han (CoRR, 2021)

A class of inexact modified Newton-type iteration methods for solving the generalized absolute value equations. - Dongmei Yu; Cairong Chen; Deren Han (CoRR, 2021)

Convergence on a symmetric accelerated stochastic ADMM with larger stepsizes. - Jianchao Bai; Deren Han; Hao Sun; Hongchao Zhang (CoRR, 2021)

A non-monotone smoothing Newton algorithm for solving the system of generalized absolute value equations. - Cairong Chen; Dongmei Yu; Deren Han; Changfeng Ma (CoRR, 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)

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)

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)

The linear convergence of the greedy randomized Kaczmarz method is deterministic. - Yansheng Su; Deren Han; Yun Zeng; Jiaxin Xie (CoRR, 2023)

Fast stochastic dual coordinate descent algorithms for linearly constrained convex optimization. - Zeng Yun; Deren Han; Yansheng Su; Jiaxin Xie (CoRR, 2023)

On greedy multi-step inertial randomized Kaczmarz method for solving linear systems. - Yansheng Su; Deren Han; Yun Zeng; Jiaxin Xie (CoRR, 2023)

Inertial accelerated SGD algorithms for solving large-scale lower-rank tensor CP decomposition problems. - Qingsong Wang; Zehui Liu; Chunfeng Cui; Deren Han (J. Comput. Appl. Math., 2023)

Accelerated Doubly Stochastic Gradient Descent for Tensor CP Decomposition. - Qingsong Wang; Chunfeng Cui; Deren Han (J. Optim. Theory Appl., 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)

A Bregman stochastic method for nonconvex nonsmooth problem beyond global Lipschitz gradient continuity. - Qingsong Wang; Deren Han (Optim. Methods Softw., 2023)

An indefinite proximal subgradient-based algorithm for nonsmooth composite optimization. - Rui Liu; Deren Han; Yong Xia 002 (J. Glob. Optim., 2023)

A maximum hypergraph 3-cut problem with limited unbalance: approximation and analysis. - Jian Sun 022; Zan-Bo Zhang; Yannan Chen; Deren Han; Donglei Du; Xiaoyan Zhang 001 (J. Glob. Optim., 2023)

Randomized Kaczmarz method with adaptive stepsizes for inconsistent linear systems. - Yun Zeng; Deren Han; Yansheng Su; Jiaxin Xie (Numer. Algorithms, 2023)

On finite termination of the generalized Newton method for solving absolute value equations. - Jia Tang; Wenli Zheng; Cairong Chen; Dongmei Yu; Deren Han (Comput. Appl. Math., 2023)

A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems. - Qingsong Wang; Zehui Liu; Chunfeng Cui; Deren Han (AAAI, 2024)

A class of maximum-based iteration methods for the generalized absolute value equation. - Shiliang Wu; Deren Han; Cuixia Li (Appl. Math. Lett., 2024)

On adaptive stochastic extended iterative methods for solving least squares. - Yun Zeng; Deren Han; Yansheng Su; Jiaxin Xie (CoRR, 2024)

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

An accelerated preconditioned proximal gradient algorithm with a generalized Nesterov momentum for PET image reconstruction. - Yizun Lin; Yongxin He; Charles Ross Schmidtlein; Deren Han (CoRR, 2024)

A simple linear convergence analysis of the reshuffling Kaczmarz method. - Deren Han; Jiaxin Xie (CoRR, 2024)

Fair Primal Dual Splitting Method for Image Inverse Problems. - Yunfei Qu; Deren Han (CoRR, 2024)

SOR-like iteration and FPI are consistent when they are equipped with certain optimal iterative parameters. - Jiayu Liu; Tingting Luo; Cairong Chen; Deren Han (CoRR, 2024)

The neural network models with delays for solving absolute value equations. - Dongmei Yu; Gehao Zhang; Cairong Chen; Deren Han (Neurocomputing, 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)

On Adaptive Stochastic Heavy Ball Momentum for Solving Linear Systems. - Yun Zeng; Deren Han; Yansheng Su; Jiaxin Xie (SIAM J. Matrix Anal. Appl., 2024)

A Momentum Accelerated Algorithm for ReLU-Based Nonlinear Matrix Decomposition. - Qingsong Wang; Chunfeng Cui; Deren Han (IEEE Signal Process. Lett., 2024)

A Partially Inertial Customized Douglas-Rachford Splitting Method for a Class of Structured Optimization Problems. - Yunfei Qu; Hongjin He; Deren Han (J. Sci. Comput., 2024)

Multi-step inertial strictly contractive PRSM algorithms for convex programming problems with applications. - Zhao Deng; Deren Han (J. Comput. Appl. Math., 2024)

Randomized Douglas-Rachford Methods for Linear Systems: Improved Accuracy and Efficiency. - Deren Han; Yansheng Su; Jiaxin Xie (SIAM J. Optim., 2024)

Stochastic Gauss-Seidel type inertial proximal alternating linearized minimization and its application to proximal neural networks. - Qingsong Wang; Deren Han (Math. Methods Oper. Res., 2024)

Correction to: Stochastic Gauss-Seidel type inertial proximal alternating linearized minimization and its application to proximal neural networks. - Qingsong Wang; Deren Han (Math. Methods Oper. Res., 2024)

Optimal parameter of the SOR-like iteration method for solving absolute value equations. - Cairong Chen; Bo Huang 015; Dongmei Yu; Deren Han (Numer. Algorithms, 2024)

Scalable Relaxation Two-Sweep Modulus-Based Matrix Splitting Methods for Vertical LCP. - Dongmei Yu; Huiling Wei; Cairong Chen; Deren Han (J. Optim. Theory Appl., 2024)

Convergence of Three-Block ADMM for Weakly Convex Optimization Problems. - Xin Chen 093; Chunfeng Cui; Deren Han (SIAM J. Imaging Sci., 2025)

Randomized Iterative Methods for Generalized Absolute Value Equations: Solvability and Error Bounds. - Jiaxin Xie; Hou-Duo Qi; Deren Han (SIAM J. Optim., 2025)

An Accelerated Alternating Partial Bregman Algorithm for ReLU-based Matrix Decomposition. - Qingsong Wang; Yunfei Qu; Chunfeng Cui; Deren Han (CoRR, 2025)

Flexible Operator Splitting Methods for Solving Absolute Value Equations. - Yongxin Chen; Deren Han (J. Sci. Comput., 2025)

Connecting randomized iterative methods with Krylov subspaces. - Yonghan Sun; Deren Han; Jiaxin Xie (CoRR, 2025)

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum. - Liqi Guo; Ruike Xiang; Deren Han; Jiaxin Xie (CoRR, 2025)

The Condition Number in Phase Retrieval from Intensity Measurements. - Haiyang Peng; Deren Han; Meng Huang (CoRR, 2025)

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)

An inverse-free fixed-time stable dynamical system and its forward-Euler discretization for solving generalized absolute value equations. - Xuehua Li; Linjie Chen; Dongmei Yu; Cairong Chen; Deren Han (CoRR, 2025)

A fixed-time stable dynamical model for solving EVLCPs. - Yufei Wei; Shiping Lin; Cairong Chen; Dongmei Yu; Deren Han (CoRR, 2025)

Non-convex Pose Graph Optimization in SLAM via Proximal Linearized Riemannian ADMM. - Xin Chen 093; Chunfeng Cui; Deren Han; Liqun Qi 001 (J. Optim. Theory Appl., 2025)

A Single-loop Proximal Subgradient Algorithm for A Class Structured Fractional Programs. - Deren Han; Min Tao; Zihao Xia (J. Sci. Comput., 2025)

Predefined-time robust gradient neural network for solving absolute value equations. - Dongmei Yu; Tiange Ma; Gehao Zhang; Cairong Chen; Deren Han (J. Comput. Appl. Math., 2026)