Deren Han - RankMe

135 papers A* 2Journal 132Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Bregman ADMM for Robust Fused Lasso Estimation with Doubly Nonconvex Regularizers. J. Glob. Optim. Yibao Fan, Zheng-Fen Jin, Youlin Shang, Deren Han
2026	J	`jnl`	Absolute value inequalities. Optim. Lett. Yongxin Chen, Deren Han
2026	J	`jnl`	An extended matrix splitting iteration method for solving the generalized absolute value equation with its applications. J. Appl. Math. Comput. Dongmei Yu, Yifei Yuan, Cairong Chen, Xuehua Li, Deren Han
2026	J	`jnl`	On pseudoinverse-free randomized methods for linear systems: unified framework and acceleration. Optim. Methods Softw. Deren Han, Jiaxin Xie
2026	A*	`conf`	Parallelizable Riemannian Alternating Direction Method of Multipliers for Non-convex Pose Graph Optimization. AAAI Xin Chen, Chunfeng Cui, Deren Han, Liqun Qi
2026	J	`jnl`	Predefined-time robust gradient neural network for solving absolute value equations. J. Comput. Appl. Math. Dongmei Yu, Tiange Ma, Gehao Zhang, Cairong Chen, Deren Han
2026	J	`jnl`	Revisit Iterative Complexity of Some Projection-type Methods for Monotone Linear Variational Inequality Problems. J. Optim. Theory Appl. Yongxin Chen, Xingju Cai, Deren Han
2026	J	`jnl`	Semi-proximal ADMM for fused Lasso penalized least absolute deviation in partially linear model. Comput. Stat. Fanke Kong, Zheng-Fen Jin, Youlin Shang, Yunhai Xiao, Deren Han
2026	J	`jnl`	Stochastic dual coordinate descent with adaptive heavy ball momentum for linearly constrained convex optimization. Numerische Mathematik Yun Zeng, Deren Han, Yansheng Su, Jiaxin Xie
2025	J	`jnl`	A Single-loop Proximal Subgradient Algorithm for A Class Structured Fractional Programs. J. Sci. Comput. Deren Han, Min Tao, Zihao Xia
2025	J	`jnl`	A Two-step Krasnosel'skii-Mann Algorithm with Adaptive Momentum and Its Applications to Image Denoising and Matrix Completion. CoRR Yongxin He, Jingyuan Li, Yizun Lin, Deren Han
2025	J	`jnl`	A fixed-time stable dynamical model for solving EVLCPs. CoRR Yufei Wei, Shiping Lin, Cairong Chen, Dongmei Yu, Deren Han
2025	J	`jnl`	An Accelerated Alternating Partial Bregman Algorithm for ReLU-based Matrix Decomposition. CoRR Qingsong Wang, Yunfei Qu, Chunfeng Cui, Deren Han
2025	J	`jnl`	An Accelerated Alternating Partial Bregman Algorithm for ReLU-based Matrix Decomposition. J. Sci. Comput. Qingsong Wang, Yunfei Qu, Chunfeng Cui, Deren Han
2025	J	`jnl`	An inverse-free fixed-time stable dynamical system and its forward-Euler discretization for solving generalized absolute value equations. CoRR Xuehua Li, Linjie Chen, Dongmei Yu, Cairong Chen, Deren Han
2025	J	`jnl`	Connecting randomized iterative methods with Krylov subspaces. CoRR Yonghan Sun, Deren Han, Jiaxin Xie
2025	J	`jnl`	Convergence of Three-Block ADMM for Weakly Convex Optimization Problems. SIAM J. Imaging Sci. Xin Chen, Chunfeng Cui, Deren Han
2025	J	`jnl`	Convergence rate of inexact augmented Lagrangian method with practical relative error criterion for composite convex programming. Comput. Optim. Appl. Yunfei Qu, Xingju Cai, Hongying Liu, Deren Han
2025	J	`jnl`	Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum. CoRR Liqi Guo, Ruike Xiang, Deren Han, Jiaxin Xie
2025	J	`jnl`	Flexible Operator Splitting Methods for Solving Absolute Value Equations. J. Sci. Comput. Yongxin Chen, Deren Han
2025	J	`jnl`	Non-convex Pose Graph Optimization in SLAM via Proximal Linearized Riemannian ADMM. J. Optim. Theory Appl. Xin Chen, Chunfeng Cui, Deren Han, Liqun Qi
2025	J	`jnl`	Practical proximal primal-dual algorithms for structured saddle point problems. J. Glob. Optim. Yunfei Qu, Hongjin He, Tao Zhang, Deren Han
2025	J	`jnl`	Randomized Iterative Methods for Generalized Absolute Value Equations: Solvability and Error Bounds. SIAM J. Optim. Jiaxin Xie, Hou-Duo Qi, Deren Han
2025	J	`jnl`	The Condition Number in Phase Retrieval from Intensity Measurements. CoRR Haiyang Peng, Deren Han, Meng Huang
2025	J	`jnl`	The error bounds of linear and tensor complementarity problems. Optim. Methods Softw. Jun He, Shiliang Wu, Deren Han
2024	A*	`conf`	A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems. AAAI Qingsong Wang, Zehui Liu, Chunfeng Cui, Deren Han
2024	J	`jnl`	A Momentum Accelerated Algorithm for ReLU-Based Nonlinear Matrix Decomposition. IEEE Signal Process. Lett. Qingsong Wang, Chunfeng Cui, Deren Han
2024	J	`jnl`	A Momentum Accelerated Algorithm for ReLU-based Nonlinear Matrix Decomposition. CoRR Qingsong Wang, Chunfeng Cui, Deren Han
2024	J	`jnl`	A Partially Inertial Customized Douglas-Rachford Splitting Method for a Class of Structured Optimization Problems. J. Sci. Comput. Yunfei Qu, Hongjin He, Deren Han
2024	J	`jnl`	A class of maximum-based iteration methods for the generalized absolute value equation. Appl. Math. Lett. Shiliang Wu, Deren Han, Cuixia Li
2024	J	`jnl`	A class of maximum-based iteration methods for the generalized absolute value equation. CoRR Shiliang Wu, Deren Han, Cuixia Li
2024	J	`jnl`	A simple linear convergence analysis of the reshuffling Kaczmarz method. CoRR Deren Han, Jiaxin Xie
2024	J	`jnl`	An accelerated preconditioned proximal gradient algorithm with a generalized Nesterov momentum for PET image reconstruction. CoRR Yizun Lin, Yongxin He, Charles Ross Schmidtlein, Deren Han
2024	J	`jnl`	Correction to: Stochastic Gauss-Seidel type inertial proximal alternating linearized minimization and its application to proximal neural networks. Math. Methods Oper. Res. Qingsong Wang, Deren Han
2024	J	`jnl`	Fair Primal Dual Splitting Method for Image Inverse Problems. CoRR Yunfei Qu, Deren Han
2024	J	`jnl`	Multi-step inertial strictly contractive PRSM algorithms for convex programming problems with applications. J. Comput. Appl. Math. Zhao Deng, Deren Han
2024	J	`jnl`	Non-convex Pose Graph Optimization in SLAM via Proximal Linearized Riemannian ADMM. CoRR Xin Chen, Chunfeng Cui, Deren Han, Liqun Qi
2024	J	`jnl`	Novel clustered federated learning based on local loss. CoRR Endong Gu, Yongxin Chen, Hao Wen, Xingju Cai, Deren Han
2024	J	`jnl`	On Adaptive Stochastic Heavy Ball Momentum for Solving Linear Systems. SIAM J. Matrix Anal. Appl. Yun Zeng, Deren Han, Yansheng Su, Jiaxin Xie
2024	J	`jnl`	On adaptive stochastic extended iterative methods for solving least squares. CoRR Yun Zeng, Deren Han, Yansheng Su, Jiaxin Xie
2024	J	`jnl`	Optimal parameter of the SOR-like iteration method for solving absolute value equations. Numer. Algorithms Cairong Chen, Bo Huang, Dongmei Yu, Deren Han
2024	J	`jnl`	Randomized Douglas-Rachford Methods for Linear Systems: Improved Accuracy and Efficiency. SIAM J. Optim. Deren Han, Yansheng Su, Jiaxin Xie
2024	J	`jnl`	Randomized iterative methods for generalized absolute value equations: Solvability and error bounds. CoRR Jiaxin Xie, Houduo Qi, Deren Han
2024	J	`jnl`	SOR-like iteration and FPI are consistent when they are equipped with certain optimal iterative parameters. CoRR Jiayu Liu, Tingting Luo, Cairong Chen, Deren Han
2024	J	`jnl`	Scalable Relaxation Two-Sweep Modulus-Based Matrix Splitting Methods for Vertical LCP. J. Optim. Theory Appl. Dongmei Yu, Huiling Wei, Cairong Chen, Deren Han
2024	J	`jnl`	Stochastic Gauss-Seidel type inertial proximal alternating linearized minimization and its application to proximal neural networks. Math. Methods Oper. Res. Qingsong Wang, Deren Han
2024	J	`jnl`	Stochastic alternating structure-adapted proximal gradient descent method with variance reduction for nonconvex nonsmooth optimization. Math. Comput. Zehui Jia, Wenxing Zhang, Xingju Cai, Deren Han
2024	J	`jnl`	The neural network models with delays for solving absolute value equations. Neurocomputing Dongmei Yu, Gehao Zhang, Cairong Chen, Deren Han
2023	J	`jnl`	A Bregman stochastic method for nonconvex nonsmooth problem beyond global Lipschitz gradient continuity. Optim. Methods Softw. Qingsong Wang, Deren Han
2023	J	`jnl`	A maximum hypergraph 3-cut problem with limited unbalance: approximation and analysis. J. Glob. Optim. Jian Sun, Zan-Bo Zhang, Yannan Chen, Deren Han, Donglei Du, Xiaoyan Zhang
2023	J	`jnl`	Accelerated Doubly Stochastic Gradient Descent for Tensor CP Decomposition. J. Optim. Theory Appl. Qingsong Wang, Chunfeng Cui, Deren Han
2023	J	`jnl`	An alternating structure-adapted Bregman proximal gradient descent algorithm for constrained nonconvex nonsmooth optimization problems and its inertial variant. J. Glob. Optim. Xue Gao, Xingju Cai, Xiangfeng Wang, Deren Han
2023	J	`jnl`	An indefinite proximal subgradient-based algorithm for nonsmooth composite optimization. J. Glob. Optim. Rui Liu, Deren Han, Yong Xia
2023	J	`jnl`	Fast stochastic dual coordinate descent algorithms for linearly constrained convex optimization. CoRR Zeng Yun, Deren Han, Yansheng Su, Jiaxin Xie
2023	J	`jnl`	Inertial accelerated SGD algorithms for solving large-scale lower-rank tensor CP decomposition problems. J. Comput. Appl. Math. Qingsong Wang, Zehui Liu, Chunfeng Cui, Deren Han
2023	J	`jnl`	Inexact asymmetric forward-backward-adjoint splitting algorithms for saddle point problems. Numer. Algorithms Fan Jiang, Xingju Cai, Deren Han
2023	J	`jnl`	On finite termination of the generalized Newton method for solving absolute value equations. Comput. Appl. Math. Jia Tang, Wenli Zheng, Cairong Chen, Dongmei Yu, Deren Han
2023	J	`jnl`	On greedy multi-step inertial randomized Kaczmarz method for solving linear systems. CoRR Yansheng Su, Deren Han, Yun Zeng, Jiaxin Xie
2023	J	`jnl`	Randomized Kaczmarz method with adaptive stepsizes for inconsistent linear systems. CoRR Yun Zeng, Deren Han, Yansheng Su, Jiaxin Xie
2023	J	`jnl`	Randomized Kaczmarz method with adaptive stepsizes for inconsistent linear systems. Numer. Algorithms Yun Zeng, Deren Han, Yansheng Su, Jiaxin Xie
2023	J	`jnl`	The linear convergence of the greedy randomized Kaczmarz method is deterministic. CoRR Yansheng Su, Deren Han, Yun Zeng, Jiaxin Xie
2023	J	`jnl`	The neural network models with delays for solving absolute value equations. CoRR Dongmei Yu, Gehao Zhang, Cairong Chen, Deren Han
2022	J	`jnl`	An efficient partial parallel method with scaling step size strategy for three-block convex optimization problems. Math. Methods Oper. Res. Yaning Jiang, Deren Han, Xingju Cai
2022	J	`jnl`	On finite termination of the generalized Newton method for solving absolute value equations. CoRR Jia Tang, Wenli Zheng, Cairong Chen, Dongmei Yu, Deren Han
2021	J	`jnl`	A class of inexact modified Newton-type iteration methods for solving the generalized absolute value equations. CoRR Dongmei Yu, Cairong Chen, Deren Han
2021	J	`jnl`	A non-monotone smoothing Newton algorithm for solving the system of generalized absolute value equations. CoRR Cairong Chen, Dongmei Yu, Deren Han, Changfeng Ma
2021	J	`jnl`	An extended proximal ADMM algorithm for three-block nonconvex optimization problems. J. Comput. Appl. Math. Chun Zhang, Yongzhong Song, Xingju Cai, Deren Han
2021	J	`jnl`	An inexact Douglas-Rachford splitting method for solving absolute value equations. CoRR Cairong Chen, Dongmei Yu, Deren Han
2021	J	`jnl`	Approximate first-order primal-dual algorithms for saddle point problems. Math. Comput. Fan Jiang, Xingju Cai, Zhongming Wu, Deren Han
2021	J	`jnl`	Convergence on a symmetric accelerated stochastic ADMM with larger stepsizes. CoRR Jianchao Bai, Deren Han, Hao Sun, Hongchao Zhang
2021	J	`jnl`	Local Linear Convergence of the Alternating Direction Method of Multipliers for Nonconvex Separable Optimization Problems. J. Optim. Theory Appl. Zehui Jia, Xue Gao, Xingju Cai, Deren Han
2020	J	`jnl`	A Gauss-Seidel type inertial proximal alternating linearized minimization for a class of nonconvex optimization problems. J. Glob. Optim. Xue Gao, Xingju Cai, Deren Han
2020	J	`jnl`	Optimal parameter for the SOR-like iteration method for solving the system of absolute value equations. CoRR Cairong Chen, Dongmei Yu, Deren Han
2020	J	`jnl`	Randomized mechanism design for decentralized network scheduling. Optim. Methods Softw. Jian Sun, Dachuan Xu, Deren Han, Wenjing Hou, Xiaoyan Zhang
2020	J	`jnl`	Solving a Class of Variational Inequality Problems with a New Inexact Strategy. Asia Pac. J. Oper. Res. Xiaomei Dong, Xingju Cai, Deren Han, Zhili Ge
2020	J	`jnl`	Solving policy design problems: Alternating direction method of multipliers-based methods for structured inverse variational inequalities. Eur. J. Oper. Res. Yaning Jiang, Xingju Cai, Deren Han
2019	J	`jnl`	A tri-level optimization model for a private road competition problem with traffic equilibrium constraints. Eur. J. Oper. Res. Yan Gu, Xingju Cai, Deren Han, David Z. W. Wang
2018	J	`jnl`	A note on the Douglas-Rachford splitting method for optimization problems involving hypoconvex functions. J. Glob. Optim. Ke Guo, Deren Han
2018	J	`jnl`	Alternating Direction Method of Multipliers for Sparse and Low-Rank Decomposition Based on Nonconvex Nonsmooth Weighted Nuclear Norm. IEEE Access Zhenzhen Yang, Zhen Yang, Deren Han
2018	J	`jnl`	An Accelerated Three-Term Conjugate Gradient Method with Sufficient Descent Condition and Conjugacy Condition. J. Optim. Theory Appl. Xiaoliang Dong, Deren Han, Zhifeng Dai, Lixiang Li, Jianguang Zhu
2018	J	`jnl`	An operator splitting method for monotone variational inequalities with a new perturbation strategy. Optim. Lett. Zhili Ge, Deren Han, Qin Ni, David Z. W. Wang
2018	J	`jnl`	Linear Rate Convergence of the Alternating Direction Method of Multipliers for Convex Composite Programming. Math. Oper. Res. Deren Han, Defeng Sun, Liwei Zhang
2017	J	`jnl`	A Symmetric Alternating Direction Method of Multipliers for Separable Nonconvex Minimization Problems. Asia Pac. J. Oper. Res. Zhongming Wu, Min Li, David Z. W. Wang, Deren Han
2017	J	`jnl`	A sequential updating scheme of the Lagrange multiplier for separable convex programming. Math. Comput. Yuhong Dai, Deren Han, Xiaoming Yuan, Wenxing Zhang
2017	J	`jnl`	Comparison of several fast algorithms for projection onto an ellipsoid. J. Comput. Appl. Math. Zehui Jia, Xingju Cai, Deren Han
2017	J	`jnl`	Convergence Analysis of Douglas-Rachford Splitting Method for "Strongly + Weakly" Convex Programming. SIAM J. Numer. Anal. Ke Guo, Deren Han, Xiaoming Yuan
2017	J	`jnl`	Convergence of alternating direction method for minimizing sum of two nonconvex functions with linear constraints. Int. J. Comput. Math. Ke Guo, Deren Han, Tingting Wu
2017	J	`jnl`	On the convergence of the direct extension of ADMM for three-block separable convex minimization models with one strongly convex function. Comput. Optim. Appl. Xingju Cai, Deren Han, Xiaoming Yuan
2016	J	`jnl`	A distributed Douglas-Rachford splitting method for multi-block convex minimization problems. Adv. Comput. Math. Hongjin He, Deren Han
2016	J	`jnl`	Fiber Orientation Distribution Estimation Using a Peaceman-Rachford Splitting Method. SIAM J. Imaging Sci. Yannan Chen, Yuhong Dai, Deren Han
2016	J	`jnl`	Linear Convergence of the Alternating Direction Method of Multipliers for a Class of Convex Optimization Problems. SIAM J. Numer. Anal. Wei Hong Yang, Deren Han
2015	J	`jnl`	A Partial Splitting Augmented Lagrangian Method for Low Patch-Rank Image Decomposition. J. Math. Imaging Vis. Deren Han, Weiwei Kong, Wenxing Zhang
2015	J	`jnl`	A class of nonlinear proximal point algorithms for variational inequality problems. Int. J. Comput. Math. Hongjin He, Xingju Cai, Deren Han
2015	J	`jnl`	A fast splitting method tailored for Dantzig selector. Comput. Optim. Appl. Hongjin He, Xingju Cai, Deren Han
2015	J	`jnl`	Cross-Hill: A heuristic method for global optimization. Appl. Math. Comput. Tingting Wu, Deren Han, Yi Xu
2014	J	`jnl`	A customized Douglas-Rachford splitting algorithm for separable convex minimization with linear constraints. Numerische Mathematik Deren Han, Hongjin He, Hai Yang, Xiaoming Yuan
2014	J	`jnl`	A proximal parallel splitting method for minimizing sum of convex functions with linear constraints. J. Comput. Appl. Math. Deren Han, Hongjin He, Lingling Xu
2014	J	`jnl`	An augmented Lagrangian based parallel splitting method for separable convex minimization with applications to image processing. Math. Comput. Deren Han, Xiaoming Yuan, Wenxing Zhang
2013	J	`jnl`	A Parallel Splitting Method for Separable Convex Programs. J. Optim. Theory Appl. Kai Wang, Deren Han, Lingling Xu
2013	J	`jnl`	A Progressive equilibration Algorithm for General Market equilibrium Problems under Constraints. Asia Pac. J. Oper. Res. Gang Qian, Hongjin He, Deren Han
2013	J	`jnl`	A hybrid splitting method for variational inequality problems with separable structure. Optim. Methods Softw. Hongjin He, Deren Han, Wenyu Sun, Yannan Chen
2013	J	`jnl`	A new partial splitting augmented Lagrangian method for minimizing the sum of three convex functions. Appl. Math. Comput. Cuixia Cao, Deren Han, Lingling Xu
2013	J	`jnl`	An ADM-based splitting method for separable convex programming. Comput. Optim. Appl. Deren Han, Xiaoming Yuan, Wenxing Zhang, Xingju Cai
2013	J	`jnl`	An improved first-order primal-dual algorithm with a new correction step. J. Glob. Optim. Xingju Cai, Deren Han, Lingling Xu
2013	J	`jnl`	Local Linear Convergence of the Alternating Direction Method of Multipliers for Quadratic Programs. SIAM J. Numer. Anal. Deren Han, Xiaoming Yuan
2013	J	`jnl`	Positive Semidefinite Generalized Diffusion Tensor Imaging via Quadratic Semidefinite Programming. SIAM J. Imaging Sci. Yannan Chen, Yuhong Dai, Deren Han, Wenyu Sun
2012	J	`jnl`	A New Decomposition Method for Variational Inequalities with Linear Constraints. J. Optim. Theory Appl. Min Zhang, Deren Han, Gang Qian, Xihong Yan
2012	J	`jnl`	A Note on the Alternating Direction Method of Multipliers. J. Optim. Theory Appl. Deren Han, Xiaoming Yuan
2012	J	`jnl`	An efficient simultaneous method for the constrained multiple-sets split feasibility problem. Comput. Optim. Appl. Wenxing Zhang, Deren Han, Xiaoming Yuan
2012	J	`jnl`	An improved two-step method for solving generalized Nash equilibrium problems. Eur. J. Oper. Res. Deren Han, Hongchao Zhang, Gang Qian, Lingling Xu
2012	J	`jnl`	Efficient neural networks for solving variational inequalities. Neurocomputing Suoliang Jiang, Deren Han, Xiaoming Yuan
2012	J	`jnl`	Some projection methods with the BB step sizes for variational inequalities. J. Comput. Appl. Math. Hongjin He, Deren Han, Zhibao Li
2011	J	`jnl`	New ALS Methods With Extrapolating Search Directions and Optimal Step Size for Complex-Valued Tensor Decompositions. IEEE Trans. Signal Process. Yannan Chen, Deren Han, Liqun Qi
2010	J	`jnl`	Solving a class of variational inequalities with inexact oracle operators. Math. Methods Oper. Res. Deren Han, Wei Xu, Hai Yang
2010	J	`jnl`	The efficiency analysis for oligopolistic games when cost functions are non-separable. Int. J. Math. Model. Numer. Optimisation Deren Han, Hai Yang, Xiaoming Yuan
2009	J	`jnl`	A modified projection method with a new direction for solving variational inequalities. Appl. Math. Comput. Xihong Yan, Deren Han, Wenyu Sun
2009	J	`jnl`	A new alternating direction method for co-coercive variational inequality problems. Comput. Math. Appl. Wenxing Zhang, Deren Han
2009	—	`conf`	Sequential Experimental Approach for Congestion Pricing with Multiple Vehicle Types and Multiple Time Periods. CSO (2) Wei Xu, Hai Yang, Deren Han
2008	J	`jnl`	A hybrid entropic proximal decomposition method with self-adaptive strategy for solving variational inequality problems. Comput. Math. Appl. Deren Han
2008	J	`jnl`	A self-adaptive projection method with improved step-size for solving variational inequalities. Comput. Math. Appl. Xihong Yan, Deren Han, Wenyu Sun
2008	J	`jnl`	An operator splitting method for variational inequalities with partially unknown mappings. Numerische Mathematik Deren Han, Wei Xu, Hai Yang
2008	J	`jnl`	Extreme diffusion values for non-Gaussian diffusions. Optim. Methods Softw. Deren Han, Liqun Qi, Ed X. Wu
2008	J	`jnl`	On the price of anarchy for non-atomic congestion games under asymmetric cost maps and elastic demands. Comput. Math. Appl. Deren Han, Hong K. Lo, Hai Yang
2008	J	`jnl`	The toll effect on price of anarchy when costs are nonlinear and asymmetric. Eur. J. Oper. Res. Deren Han, Hong K. Lo, Jie Sun, Hai Yang
2007	J	`jnl`	A simple self-adaptive alternating direction method for linear variational inequality problems. Comput. Math. Appl. Deren Han, Hong K. Lo, Zhiwei Wang
2007	J	`jnl`	An extended alternating direction method for variational inequality problems with linear equality and inequality constraints. Appl. Math. Comput. Zhong Zhou, Anthony Chen, Deren Han
2006	J	`jnl`	A new class of projection and contraction methods for solving variational inequality problems. Comput. Math. Appl. Deren Han
2006	J	`jnl`	Solving linear variational inequality problems by a self-adaptive projection method. Appl. Math. Comput. Deren Han
2004	J	`jnl`	Solving Variational Inequality Problems with Linear Constraints by a Proximal Decomposition Algorithm. J. Glob. Optim. Deren Han, Hong K. Lo
2004	J	`jnl`	Solving non-additive traffic assignment problems: A descent method for co-coercive variational inequalities. Eur. J. Oper. Res. Deren Han, Hong K. Lo
2003	J	`jnl`	A New Hybrid Generalized Proximal Point Algorithm for Variational Inequality Problems. J. Glob. Optim. Deren Han
2003	J	`jnl`	A feasible descent algorithm for solving variational inequality problems. Math. Methods Oper. Res. Deren Han, Hong K. Lo
2002	J	`jnl`	A new inexact alternating directions method for monotone variational inequalities. Math. Program. Bingsheng He, Li-Zhi Liao, Deren Han, Hai Yang
2002	J	`jnl`	A new stepsize rule in He and Zhou's alternating direction method. Appl. Math. Lett. Deren Han, Hong K. Lo
2000	J	`jnl`	A new modified extra-gradient method for variational inequality problems. Neural Parallel Sci. Comput. Deren Han, Hong K. Lo