Comparison of Two Kinds of Prediction-Correction Methods for Monotone Variational Inequalities. - Bingsheng He; Xiaoming Yuan 001; Jason J. Z. Zhang (Comput. Optim. Appl., 2004)

A Logarithmic-Quadratic Proximal Prediction-Correction Method for Structured Monotone Variational Inequalities. - Bingsheng He; Ya Xu; Xiao-Ming Yuan 001 (Comput. Optim. Appl., 2006)

Bregman distances and Klee sets. - Heinz H. Bauschke; Xianfu Wang; Jane J. Ye; Xiaoming Yuan 001 (J. Approx. Theory, 2009)

Bregman distances and Chebyshev sets. - Heinz H. Bauschke; Xianfu Wang; Jane J. Ye; Xiaoming Yuan 001 (J. Approx. Theory, 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 Constrained Total-variation Image Restoration and Reconstruction Problems via Alternating Direction Methods. - Michael K. Ng 001; Pierre Weiss; Xiaoming Yuan 001 (SIAM J. Sci. Comput., 2010)

An improved proximal alternating direction method for monotone variational inequalities with separable structure. - Xiaoming Yuan 001 (Comput. Optim. Appl., 2011)

Fast minimization methods for solving constrained total-variation superresolution image reconstruction. - Michael K. Ng 001; Fan Wang; Xiao-Ming Yuan 001 (Multidimens. Syst. Signal Process., 2011)

Alternating Direction Method for Image Inpainting in Wavelet Domains. - Raymond H. Chan; Junfeng Yang; Xiaoming Yuan 001 (SIAM J. Imaging Sci., 2011)

Recovering Low-Rank and Sparse Components of Matrices from Incomplete and Noisy Observations. - Min Tao; Xiaoming Yuan 001 (SIAM J. Optim., 2011)

An LQP-Based Decomposition Method for Solving a Class of Variational Inequalities. - Xiao-Ming Yuan 001; Min Li (SIAM J. Optim., 2011)

Solving Large-Scale Least Squares Semidefinite Programming by Alternating Direction Methods. - Bingsheng He; Minghua Xu 002; Xiaoming Yuan 001 (SIAM J. Matrix Anal. Appl., 2011)

Inexact Alternating Direction Methods for Image Recovery. - Michael K. Ng 001; Fan Wang; Xiaoming Yuan 001 (SIAM J. Sci. Comput., 2011)

A Barzilai-Borwein-based heuristic algorithm for locating multiple facilities with regional demand. - Jianlin Jiang; Xiaoming Yuan 001 (Comput. Optim. Appl., 2012)

An inexact parallel splitting augmented Lagrangian method for monotone variational inequalities with separable structures. - Min Tao; Xiaoming Yuan 001 (Comput. Optim. Appl., 2012)

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

A multi-block alternating direction method with parallel splitting for decentralized consensus optimization. - Qing Ling 001; Min Tao; Wotao Yin; Xiaoming Yuan 001 (EURASIP J. Wirel. Commun. Netw., 2012)

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

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

An Accelerated Inexact Proximal Point Algorithm for Convex Minimization. - Bingsheng He; Xiaoming Yuan 001 (J. Optim. Theory Appl., 2012)

Alternating Direction Method for Covariance Selection Models. - Xiaoming Yuan 001 (J. Sci. Comput., 2012)

Convergence Analysis of Primal-Dual Algorithms for a Saddle-Point Problem: From Contraction Perspective. - Bingsheng He; Xiaoming Yuan 001 (SIAM J. Imaging Sci., 2012)

Alternating Direction Method with Gaussian Back Substitution for Separable Convex Programming. - Bingsheng He; Min Tao; Xiaoming Yuan 001 (SIAM J. Optim., 2012)

On the O(1/t) Convergence Rate of Alternating Direction Method with Logarithmic-Quadratic Proximal Regularization. - Min Tao; Xiaoming Yuan 001 (SIAM J. Optim., 2012)

On the O(1/n) Convergence Rate of the Douglas-Rachford Alternating Direction Method. - Bingsheng He; Xiaoming Yuan 001 (SIAM J. Numer. Anal., 2012)

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

A customized proximal point algorithm for convex minimization with linear constraints. - Bingsheng He; Xiaoming Yuan 001; Wenxing Zhang (Comput. Optim. Appl., 2013)

Inexact Alternating Direction Methods of Multipliers with Logarithmic-Quadratic Proximal Regularization. - Min Li; Li-Zhi Liao; Xiao-Ming Yuan 001 (J. Optim. Theory Appl., 2013)

Linearized augmented Lagrangian and alternating direction methods for nuclear norm minimization. - Junfeng Yang; Xiaoming Yuan 001 (Math. Comput., 2013)

The GUS-property of second-order cone linear complementarity problems. - Wei Hong Yang; Xiaoming Yuan 001 (Math. Program., 2013)

Forward-backward-based descent methods for composite variational inequalities. - Bingsheng He; Xiaoming Yuan 001 (Optim. Methods Softw., 2013)

Constrained Total Variation Deblurring Models and Fast Algorithms Based on Alternating Direction Method of Multipliers. - Raymond H. Chan; Min Tao; Xiaoming Yuan 001 (SIAM J. Imaging Sci., 2013)

Coupled Variational Image Decomposition and Restoration Model for Blurred Cartoon-Plus-Texture Images With Missing Pixels. - Michael K. Ng 001; Xiaoming Yuan 001; Wenxing Zhang (IEEE Trans. Image Process., 2013)

A Lagrangian Dual Approach to the Single-Source Localization Problem. - Houduo Qi; Naihua Xiu; Xiaoming Yuan 001 (IEEE Trans. Signal Process., 2013)

Customized proximal point algorithms for linearly constrained convex minimization and saddle-point problems: a unified approach. - Guoyong Gu; Bingsheng He; Xiaoming Yuan 001 (Comput. Optim. Appl., 2014)

Linearized alternating direction method of multipliers for sparse group and fused LASSO models. - Xinxin Li; Lili Mo; Xiaoming Yuan 001; Jianzhong Zhang (Comput. Stat. Data Anal., 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)

Computing the nearest Euclidean distance matrix with low embedding dimensions. - Houduo Qi; Xiaoming Yuan 001 (Math. Program., 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)

On the Convergence of Primal-Dual Hybrid Gradient Algorithm. - Bingsheng He; Yanfei You; Xiaoming Yuan 001 (SIAM J. Imaging Sci., 2014)

A Generalized Proximal Point Algorithm and Its Convergence Rate. - Etienne Corman; Xiaoming Yuan 001 (SIAM J. Optim., 2014)

A Strictly Contractive Peaceman-Rachford Splitting Method for Convex Programming. - Bingsheng He; Han Liu 001; Zhaoran Wang 001; Xiaoming Yuan 001 (SIAM J. Optim., 2014)

Patterned Fabric Inspection and Visualization by the Method of Image Decomposition. - Michael K. Ng 001; Henry Y. T. Ngan; Xiaoming Yuan 001; Wenxing Zhang (IEEE Trans Autom. Sci. Eng., 2014)

The flare package for high dimensional linear regression and precision matrix estimation in R. - Xingguo Li; Tuo Zhao; Xiaoming Yuan 001; Han Liu 001 (J. Mach. Learn. Res., 2015)

Further Study on the Convergence Rate of Alternating Direction Method of Multipliers with Logarithmic-quadratic Proximal Regularization. - Caihua Chen; Min Li; Xiaoming Yuan 001 (J. Optim. Theory Appl., 2015)

Convergence Analysis of the Generalized Alternating Direction Method of Multipliers with Logarithmic-Quadratic Proximal Regularization. - Min Li; Xinxin Li; Xiaoming Yuan 001 (J. Optim. Theory Appl., 2015)

A Strictly Contractive Peaceman-Rachford Splitting Method with Logarithmic-Quadratic Proximal Regularization for Convex Programming. - Min Li; Xiaoming Yuan 001 (Math. Oper. Res., 2015)

On the convergence rate of Douglas-Rachford operator splitting method. - Bingsheng He; Xiaoming Yuan 001 (Math. Program., 2015)

Generalized alternating direction method of multipliers: new theoretical insights and applications. - Ethan X. Fang; Bingsheng He; Han Liu 001; Xiaoming Yuan 001 (Math. Program. Comput., 2015)

Total variation based tensor decomposition for multi-dimensional data with time dimension. - Chuan Chen 001; Xutao Li; Michael K. Ng 001; Xiaoming Yuan 001 (Numer. Linear Algebra Appl., 2015)

Median filtering-based methods for static background extraction from surveillance video. - Xinxin Li; Michael K. Ng 001; Xiaoming Yuan 001 (Numer. Linear Algebra Appl., 2015)

On non-ergodic convergence rate of Douglas-Rachford alternating direction method of multipliers. - Bingsheng He; Xiaoming Yuan 001 (Numerische Mathematik, 2015)

A Proximal Strictly Contractive Peaceman-Rachford Splitting Method for Convex Programming with Applications to Imaging. - Xinxin Li; Xiaoming Yuan 001 (SIAM J. Imaging Sci., 2015)

On Full Jacobian Decomposition of the Augmented Lagrangian Method for Separable Convex Programming. - Bingsheng He; Liusheng Hou; Xiaoming Yuan 001 (SIAM J. Optim., 2015)

On the Proximal Jacobian Decomposition of ALM for Multiple-Block Separable Convex Minimization Problems and Its Relationship to ADMM. - Bingsheng He; Hong-Kun Xu; Xiaoming Yuan 001 (J. Sci. Comput., 2016)

The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent. - Caihua Chen; Bingsheng He; Yinyu Ye 001; Xiaoming Yuan 001 (Math. Program., 2016)

Convergence Study on the Symmetric Version of ADMM with Larger Step Sizes. - Bingsheng He; Feng Ma; Xiaoming Yuan 001 (SIAM J. Imaging Sci., 2016)

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)

An Algorithmic Framework of Generalized Primal-Dual Hybrid Gradient Methods for Saddle Point Problems. - Bingsheng He; Feng Ma; Xiaoming Yuan 001 (J. Math. Imaging Vis., 2017)

On the Iteration Complexity of Some Projection Methods for Monotone Linear Variational Inequalities. - Caihua Chen; Xiaoling Fu; Bingsheng He; Xiaoming Yuan 001 (J. Optim. Theory Appl., 2017)

Accelerated Uzawa methods for convex optimization. - Min Tao; Xiaoming Yuan 001 (Math. Comput., 2017)

Convergence Rate Analysis for the Alternating Direction Method of Multipliers with a Substitution Procedure for Separable Convex Programming. - Bingsheng He; Min Tao; Xiaoming Yuan 001 (Math. Oper. Res., 2017)

Primal-dual hybrid gradient method for distributionally robust optimization problems. - Yongchao Liu; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (Oper. Res. Lett., 2017)

Lattice-Based Patterned Fabric Inspection by Using Total Variation with Sparsity and Low-Rank Representations. - Michael K. Ng 001; Henry Y. T. Ngan; Xiaoming Yuan 001; Wenxing Zhang (SIAM J. Imaging Sci., 2017)

Convergence analysis of the direct extension of ADMM for multiple-block separable convex minimization. - Min Tao; Xiaoming Yuan 001 (Adv. Comput. Math., 2018)

A class of ADMM-based algorithms for three-block separable convex programming. - Bingsheng He; Xiaoming Yuan 001 (Comput. Optim. Appl., 2018)

The generalized proximal point algorithm with step size 2 is not necessarily convergent. - Min Tao; Xiaoming Yuan 001 (Comput. Optim. Appl., 2018)

On the flexibility of block coordinate descent for large-scale optimization. - Xiangfeng Wang; Wenjie Zhang; Junchi Yan; Xiaoming Yuan 001; Hongyuan Zha (Neurocomputing, 2018)

On Glowinski's Open Question on the Alternating Direction Method of Multipliers. - Min Tao; Xiaoming Yuan 001 (J. Optim. Theory Appl., 2018)

On the Optimal Linear Convergence Rate of a Generalized Proximal Point Algorithm. - Min Tao; Xiaoming Yuan 001 (J. Sci. Comput., 2018)

Convergence Analysis of Primal-Dual Based Methods for Total Variation Minimization with Finite Element Approximation. - WenYi Tian; Xiaoming Yuan 001 (J. Sci. Comput., 2018)

Partial Error Bound Conditions and the Linear Convergence Rate of the Alternating Direction Method of Multipliers. - Yongchao Liu; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (SIAM J. Numer. Anal., 2018)

Implementing the Alternating Direction Method of Multipliers for Big Datasets: A Case Study of Least Absolute Shrinkage and Selection Operator. - Hangrui Yue; Qingzhi Yang; Xiangfeng Wang; Xiaoming Yuan 001 (SIAM J. Sci. Comput., 2018)

Bilevel Integrative Optimization for Ill-posed Inverse Problems. - Risheng Liu; Long Ma 002; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (CoRR, 2019)

An alternating direction method of multipliers with a worst-case O(1/n2) convergence rate. - WenYi Tian; Xiaoming Yuan 001 (Math. Comput., 2019)

A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton. - Risheng Liu; Pan Mu; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (ICML, 2020)

Optimally linearizing the alternating direction method of multipliers for convex programming. - Bingsheng He; Feng Ma; Xiaoming Yuan 001 (Comput. Optim. Appl., 2020)

Discerning the Linear Convergence of ADMM for Structured Convex Optimization through the Lens of Variational Analysis. - Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (J. Mach. Learn. Res., 2020)

An ADMM numerical approach to linear parabolic state constrained optimal control problems. - Roland Glowinski; Yongcun Song; Xiaoming Yuan 001 (Numerische Mathematik, 2020)

A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization. - Risheng Liu; Xuan Liu; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (ICML, 2021)

A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization. - Risheng Liu; Pan Mu; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (CoRR, 2021)

An ADMM-Newton-CNN Numerical Approach to a TV Model for Identifying Discontinuous Diffusion Coefficients in Elliptic Equations: Convex Case with Gradient Observations. - WenYi Tian; Xiaoming Yuan 001; Hangrui Yue (CoRR, 2021)

Network Bandwidth Allocation Problem For Cloud Computing. - Changpeng Yang; Jintao You; Xiaoming Yuan 001; Pengxiang Zhao (CoRR, 2022)

On Convergence of the Arrow-Hurwicz Method for Saddle Point Problems. - Bingsheng He; Shengjie Xu; Xiaoming Yuan 001 (J. Math. Imaging Vis., 2022)

Bilinear Optimal Control of an Advection-Reaction-Diffusion System. - Roland Glowinski; Yongcun Song; Xiaoming Yuan 001; Hangrui Yue (SIAM Rev., 2022)

Task-Oriented Convex Bilevel Optimization With Latent Feasibility. - Risheng Liu; Long Ma 002; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (IEEE Trans. Image Process., 2022)

A Generalized Primal-Dual Algorithm with Improved Convergence Condition for Saddle Point Problems. - Bingsheng He; Feng Ma; Shengjie Xu; Xiaoming Yuan 001 (SIAM J. Imaging Sci., 2022)

A General Descent Aggregation Framework for Gradient-Based Bi-Level Optimization. - Risheng Liu; Pan Mu; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A rank-two relaxed parallel splitting version of the augmented Lagrangian method with step size in (0,2) for separable convex programming. - Bingsheng He; Feng Ma; Shengjie Xu; Xiaoming Yuan 001 (Math. Comput., 2023)

A globally convergent proximal Newton-type method in nonsmooth convex optimization. - Boris S. Mordukhovich; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (Math. Program., 2023)

Difference of convex algorithms for bilevel programs with applications in hyperparameter selection. - Jane J. Ye; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (Math. Program., 2023)

Coverage Axis++: Efficient Inner Point Selection for 3D Shape Skeletonization. - Zimeng Wang; Zhiyang Dou; Rui Xu 016; Cheng Lin 001; Yuan Liu 025; Xiaoxiao Long; Shiqing Xin; Lingjie Liu; Taku Komura; Xiaoming Yuan 001; Wenping Wang 001 (CoRR, 2024)

Adapprox: Adaptive Approximation in Adam Optimization via Randomized Low-Rank Matrices. - Pengxiang Zhao; Ping Li; Yingjie Gu; Yi Zheng; Stephan Ludger Kölker; Zhefeng Wang; Xiaoming Yuan 001 (CoRR, 2024)

A Convex-optimization-based Layer-wise Post-training Pruner for Large Language Models. - Pengxiang Zhao; Hanyu Hu; Ping Li; Yi Zheng; Zhefeng Wang; Xiaoming Yuan 001 (CoRR, 2024)

Huawei Cloud Adopts Operations Research for Live Streaming Services to Save Network Bandwidth Cost: The GSCO System. - Xiaoming Yuan 001; Pengxiang Zhao; Hanyu Hu; Jintao You; Changpeng Yang; Wen Peng; Yonghong Kang; Kwong Meng Teo (INFORMS J. Appl. Anal., 2024)

Coverage Axis++: Efficient Inner Point Selection for 3D Shape Skeletonization. - Zimeng Wang; Zhiyang Dou; Rui Xu 016; Cheng Lin 001; Yuan Liu 025; Xiaoxiao Long; Shiqing Xin; Taku Komura; Xiaoming Yuan 001; Wenping Wang 001 (Comput. Graph. Forum, 2024)

Circling Reduction Algorithm for Cloud Edge Traffic Allocation Under the 95th Percentile Billing. - Pengxiang Zhao; Jintao You; Xiaoming Yuan 001 (IEEE/ACM Trans. Netw., 2024)

FASP: Fast and Accurate Structured Pruning of Large Language Models. - Hanyu Hu; Pengxiang Zhao; Ping Li; Yi Zheng; Zhefeng Wang; Xiaoming Yuan 001 (CoRR, 2025)

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models. - Pengxiang Zhao; Xiao-Ming Yuan 001 (CoRR, 2025)