Xiaoming Yuan

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 27

Top Topics

Proximal Point Algorithm

Minimization Problems

Convergence Rate

Convex Programming

Top Venues

SIAM J. Imaging Sci.

Comput. Optim. Appl.

Publications

Xiaoming Yuan, Pengxiang Zhao, Hanyu Hu, Jintao You, Changpeng Yang, Wen Peng, Yonghong Kang, Kwong Meng Teo
System. INFORMS J. Appl. Anal. 54 (1) (2024)
Pengxiang Zhao, Ping Li, Yingjie Gu, Yi Zheng, Stephan Ludger Kölker, Zhefeng Wang, Xiaoming Yuan
Adapprox: Adaptive Approximation in Adam Optimization via Randomized Low-Rank Matrices. CoRR (2024)
Boris S. Mordukhovich, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
A globally convergent proximal Newton-type method in nonsmooth convex optimization. Math. Program. 198 (1) (2023)
Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
A General Descent Aggregation Framework for Gradient-Based Bi-Level Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Jane J. Ye, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
Difference of convex algorithms for bilevel programs with applications in hyperparameter selection. Math. Program. 198 (2) (2023)
Bingsheng He, Feng Ma, Shengjie Xu, Xiaoming Yuan
A rank-two relaxed parallel splitting version of the augmented Lagrangian method with step size in (0,2) for separable convex programming. Math. Comput. 92 (342) (2023)
Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
Task-Oriented Convex Bilevel Optimization With Latent Feasibility. IEEE Trans. Image Process. 31 (2022)
Bingsheng He, Feng Ma, Shengjie Xu, Xiaoming Yuan
A Generalized Primal-Dual Algorithm with Improved Convergence Condition for Saddle Point Problems. SIAM J. Imaging Sci. 15 (3) (2022)
Bingsheng He, Shengjie Xu, Xiaoming Yuan
On Convergence of the Arrow-Hurwicz Method for Saddle Point Problems. J. Math. Imaging Vis. 64 (6) (2022)
Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization. CoRR (2021)
Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization. CoRR (2021)
Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization. ICML (2021)
Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
Discerning the Linear Convergence of ADMM for Structured Convex Optimization through the Lens of Variational Analysis. J. Mach. Learn. Res. 21 (2020)
Bingsheng He, Feng Ma, Xiaoming Yuan
Optimally linearizing the alternating direction method of multipliers for convex programming. Comput. Optim. Appl. 75 (2) (2020)
Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton. CoRR (2020)
Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton. ICML (2020)
Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
Bilevel Integrative Optimization for Ill-posed Inverse Problems. CoRR (2019)
Bingsheng He, Xiaoming Yuan
A class of ADMM-based algorithms for three-block separable convex programming. Comput. Optim. Appl. 70 (3) (2018)
Yongchao Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
Partial Error Bound Conditions and the Linear Convergence Rate of the Alternating Direction Method of Multipliers. SIAM J. Numer. Anal. 56 (4) (2018)
Caihua Chen, Xiaoling Fu, Bingsheng He, Xiaoming Yuan
On the Iteration Complexity of Some Projection Methods for Monotone Linear Variational Inequalities. J. Optim. Theory Appl. 172 (3) (2017)
Yongchao Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
Primal-dual hybrid gradient method for distributionally robust optimization problems. Oper. Res. Lett. 45 (6) (2017)
Bingsheng He, Feng Ma, Xiaoming Yuan
An Algorithmic Framework of Generalized Primal-Dual Hybrid Gradient Methods for Saddle Point Problems. J. Math. Imaging Vis. 58 (2) (2017)
Bingsheng He, Min Tao, Xiaoming Yuan
Convergence Rate Analysis for the Alternating Direction Method of Multipliers with a Substitution Procedure for Separable Convex Programming. Math. Oper. Res. 42 (3) (2017)
Xingju Cai, Deren Han, Xiaoming Yuan
On the convergence of the direct extension of ADMM for three-block separable convex minimization models with one strongly convex function. Comput. Optim. Appl. 66 (1) (2017)
Bingsheng He, Hong-Kun Xu, Xiaoming Yuan
On the Proximal Jacobian Decomposition of ALM for Multiple-Block Separable Convex Minimization Problems and Its Relationship to ADMM. J. Sci. Comput. 66 (3) (2016)
Caihua Chen, Bingsheng He, Yinyu Ye, Xiaoming Yuan
The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent. Math. Program. 155 (1-2) (2016)
Bingsheng He, Feng Ma, Xiaoming Yuan
Convergence Study on the Symmetric Version of ADMM with Larger Step Sizes. SIAM J. Imaging Sci. 9 (3) (2016)
Xinxin Li, Xiaoming Yuan
A Proximal Strictly Contractive Peaceman-Rachford Splitting Method for Convex Programming with Applications to Imaging. SIAM J. Imaging Sci. 8 (2) (2015)
Caihua Chen, Min Li, Xiaoming Yuan
Further Study on the Convergence Rate of Alternating Direction Method of Multipliers with Logarithmic-quadratic Proximal Regularization. J. Optim. Theory Appl. 166 (3) (2015)
Bingsheng He, Liusheng Hou, Xiaoming Yuan
On Full Jacobian Decomposition of the Augmented Lagrangian Method for Separable Convex Programming. SIAM J. Optim. 25 (4) (2015)
Bingsheng He, Xiaoming Yuan
On non-ergodic convergence rate of Douglas-Rachford alternating direction method of multipliers. Numerische Mathematik 130 (3) (2015)
Bingsheng He, Xiaoming Yuan
On the convergence rate of Douglas-Rachford operator splitting method. Math. Program. 153 (2) (2015)
Ethan X. Fang, Bingsheng He, Han Liu, Xiaoming Yuan
Generalized alternating direction method of multipliers: new theoretical insights and applications. Math. Program. Comput. 7 (2) (2015)
Min Li, Xinxin Li, Xiaoming Yuan
Convergence Analysis of the Generalized Alternating Direction Method of Multipliers with Logarithmic-Quadratic Proximal Regularization. J. Optim. Theory Appl. 164 (1) (2015)
Houduo Qi, Xiaoming Yuan
Computing the nearest Euclidean distance matrix with low embedding dimensions. Math. Program. 147 (1-2) (2014)
Bingsheng He, Yanfei You, Xiaoming Yuan
On the Convergence of Primal-Dual Hybrid Gradient Algorithm. SIAM J. Imaging Sci. 7 (4) (2014)
Etienne Corman, Xiaoming Yuan
A Generalized Proximal Point Algorithm and Its Convergence Rate. SIAM J. Optim. 24 (4) (2014)
Bingsheng He, Han Liu, Zhaoran Wang, Xiaoming Yuan
A Strictly Contractive Peaceman-Rachford Splitting Method for Convex Programming. SIAM J. Optim. 24 (3) (2014)
Guoyong Gu, Bingsheng He, Xiaoming Yuan
Customized proximal point algorithms for linearly constrained convex minimization and saddle-point problems: a unified approach. Comput. Optim. Appl. 59 (1-2) (2014)
Michael K. Ng, Henry Y. T. Ngan, Xiaoming Yuan, Wenxing Zhang
Patterned Fabric Inspection and Visualization by the Method of Image Decomposition. IEEE Trans Autom. Sci. Eng. 11 (3) (2014)
Xinxin Li, Lili Mo, Xiaoming Yuan, Jianzhong Zhang
Linearized alternating direction method of multipliers for sparse group and fused LASSO models. Comput. Stat. Data Anal. 79 (2014)
Bingsheng He, Xiaoming Yuan
Forward-backward-based descent methods for composite variational inequalities. Optim. Methods Softw. 28 (4) (2013)
Raymond H. Chan, Min Tao, Xiaoming Yuan
Constrained Total Variation Deblurring Models and Fast Algorithms Based on Alternating Direction Method of Multipliers. SIAM J. Imaging Sci. 6 (1) (2013)
Deren Han, Xiaoming Yuan, Wenxing Zhang, Xingju Cai
An ADM-based splitting method for separable convex programming. Comput. Optim. Appl. 54 (2) (2013)
Houduo Qi, Naihua Xiu, Xiaoming Yuan
A Lagrangian Dual Approach to the Single-Source Localization Problem. IEEE Trans. Signal Process. 61 (15) (2013)
Bingsheng He, Xiaoming Yuan, Wenxing Zhang
A customized proximal point algorithm for convex minimization with linear constraints. Comput. Optim. Appl. 56 (3) (2013)
Michael K. Ng, Xiaoming Yuan, Wenxing Zhang
Coupled Variational Image Decomposition and Restoration Model for Blurred Cartoon-Plus-Texture Images With Missing Pixels. IEEE Trans. Image Process. 22 (6) (2013)
Junfeng Yang, Xiaoming Yuan
Linearized augmented Lagrangian and alternating direction methods for nuclear norm minimization. Math. Comput. 82 (281) (2013)
Bingsheng He, Xiaoming Yuan
Convergence Analysis of Primal-Dual Algorithms for a Saddle-Point Problem: From Contraction Perspective. SIAM J. Imaging Sci. 5 (1) (2012)
Bingsheng He, Xiaoming Yuan
On the O(1/n) Convergence Rate of the Douglas-Rachford Alternating Direction Method. SIAM J. Numer. Anal. 50 (2) (2012)
Jianlin Jiang, Xiaoming Yuan
A Barzilai-Borwein-based heuristic algorithm for locating multiple facilities with regional demand. Comput. Optim. Appl. 51 (3) (2012)
Min Tao, Xiaoming Yuan
An inexact parallel splitting augmented Lagrangian method for monotone variational inequalities with separable structures. Comput. Optim. Appl. 52 (2) (2012)
Suoliang Jiang, Deren Han, Xiaoming Yuan
Efficient neural networks for solving variational inequalities. Neurocomputing 86 (2012)
Bingsheng He, Min Tao, Xiaoming Yuan
Alternating Direction Method with Gaussian Back Substitution for Separable Convex Programming. SIAM J. Optim. 22 (2) (2012)
Xiaoming Yuan
Alternating Direction Method for Covariance Selection Models. J. Sci. Comput. 51 (2) (2012)
Bingsheng He, Xiaoming Yuan
An Accelerated Inexact Proximal Point Algorithm for Convex Minimization. J. Optim. Theory Appl. 154 (2) (2012)
Bingsheng He, Minghua Xu, Xiaoming Yuan
Solving Large-Scale Least Squares Semidefinite Programming by Alternating Direction Methods. SIAM J. Matrix Anal. Appl. 32 (1) (2011)
Min Tao, Xiaoming Yuan
Recovering Low-Rank and Sparse Components of Matrices from Incomplete and Noisy Observations. SIAM J. Optim. 21 (1) (2011)
Michael K. Ng, Fan Wang, Xiaoming Yuan
Inexact Alternating Direction Methods for Image Recovery. SIAM J. Sci. Comput. 33 (4) (2011)
Xiaoming Yuan
An improved proximal alternating direction method for monotone variational inequalities with separable structure. Comput. Optim. Appl. 49 (1) (2011)
Raymond H. Chan, Junfeng Yang, Xiaoming Yuan
Alternating Direction Method for Image Inpainting in Wavelet Domains. SIAM J. Imaging Sci. 4 (3) (2011)
Deren Han, Hai Yang, Xiaoming Yuan
The efficiency analysis for oligopolistic games when cost functions are non-separable. Int. J. Math. Model. Numer. Optimisation 1 (3) (2010)
Michael K. Ng, Pierre Weiss, Xiaoming Yuan
Solving Constrained Total-variation Image Restoration and Reconstruction Problems via Alternating Direction Methods. SIAM J. Sci. Comput. 32 (5) (2010)
Bingsheng He, Xiaoming Yuan, Jason J. Z. Zhang
Comparison of Two Kinds of Prediction-Correction Methods for Monotone Variational Inequalities. Comput. Optim. Appl. 27 (3) (2004)