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Xiaoming Yuan 0001
Person information
- affiliation: University of Hong Kong, Department of Mathematics, China
- affiliation: Hong Kong Baptist University, Department of Mathematics, China
Other persons with the same name
- Xiaoming Yuan (aka: Xiao-Ming Yuan) — disambiguation page
- Xiaoming Yuan 0002 — Northeastern University, Qinhuangdao, China (and 2 more)
- Xiaoming Yuan 0003 — Yanshan University, Hebei Key Laboratory of Heavy Machinery Fluid Power Transmission and Control, Qinhuangdao, China
- Xiaoming Yuan 0004 — Huazhong University of Science and Technology, School of Electrical and Electronic Engineering, Wuhan, China
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2020 – today
- 2024
- [j88]Zimeng Wang, Zhiyang Dou, Rui Xu, Cheng Lin, Yuan Liu, Xiaoxiao Long, Shiqing Xin, Taku Komura, Xiaoming Yuan, Wenping Wang:
Coverage Axis++: Efficient Inner Point Selection for 3D Shape Skeletonization. Comput. Graph. Forum 43(5): i-x (2024) - [j87]Xiaoming Yuan, Pengxiang Zhao, Hanyu Hu, Jintao You, Changpeng Yang, Wen Peng, Yonghong Kang, Kwong Meng Teo:
Huawei Cloud Adopts Operations Research for Live Streaming Services to Save Network Bandwidth Cost: The GSCO System. INFORMS J. Appl. Anal. 54(1): 37-53 (2024) - [j86]Pengxiang Zhao, Jintao You, Xiaoming Yuan:
Circling Reduction Algorithm for Cloud Edge Traffic Allocation Under the 95th Percentile Billing. IEEE/ACM Trans. Netw. 32(5): 4254-4269 (2024) - [i10]Zimeng Wang, Zhiyang Dou, Rui Xu, Cheng Lin, Yuan Liu, Xiaoxiao Long, Shiqing Xin, Lingjie Liu, Taku Komura, Xiaoming Yuan, Wenping Wang:
Coverage Axis++: Efficient Inner Point Selection for 3D Shape Skeletonization. CoRR abs/2401.12946 (2024) - [i9]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 abs/2403.14958 (2024) - [i8]Pengxiang Zhao, Hanyu Hu, Ping Li, Yi Zheng, Zhefeng Wang, Xiaoming Yuan:
A Convex-optimization-based Layer-wise Post-training Pruner for Large Language Models. CoRR abs/2408.03728 (2024) - 2023
- [j85]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): 1633-1663 (2023) - [j84]Boris S. Mordukhovich, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
A globally convergent proximal Newton-type method in nonsmooth convex optimization. Math. Program. 198(1): 899-936 (2023) - [j83]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): 1583-1616 (2023) - [j82]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): 38-57 (2023) - 2022
- [j81]Bingsheng He, Shengjie Xu, Xiaoming Yuan:
On Convergence of the Arrow-Hurwicz Method for Saddle Point Problems. J. Math. Imaging Vis. 64(6): 662-671 (2022) - [j80]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): 1157-1183 (2022) - [j79]Roland Glowinski, Yongcun Song, Xiaoming Yuan, Hangrui Yue:
Bilinear Optimal Control of an Advection-Reaction-Diffusion System. SIAM Rev. 64(2): 392-421 (2022) - [j78]Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
Task-Oriented Convex Bilevel Optimization With Latent Feasibility. IEEE Trans. Image Process. 31: 1190-1203 (2022) - [i7]Changpeng Yang, Jintao You, Xiaoming Yuan, Pengxiang Zhao:
Network Bandwidth Allocation Problem For Cloud Computing. CoRR abs/2203.06725 (2022) - 2021
- [c2]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: 6882-6892 - [i6]Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization. CoRR abs/2102.07976 (2021) - [i5]WenYi Tian, Xiaoming Yuan, Hangrui Yue:
An ADMM-Newton-CNN Numerical Approach to a TV Model for Identifying Discontinuous Diffusion Coefficients in Elliptic Equations: Convex Case with Gradient Observations. CoRR abs/2103.11176 (2021) - [i4]Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization. CoRR abs/2106.07991 (2021) - 2020
- [j77]Bingsheng He, Feng Ma, Xiaoming Yuan:
Optimally linearizing the alternating direction method of multipliers for convex programming. Comput. Optim. Appl. 75(2): 361-388 (2020) - [j76]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: 83:1-83:75 (2020) - [j75]Roland Glowinski, Yongcun Song, Xiaoming Yuan:
An ADMM numerical approach to linear parabolic state constrained optimal control problems. Numerische Mathematik 144(4): 931-966 (2020) - [c1]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: 6305-6315 - [i3]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 abs/2006.04045 (2020) - [i2]Xingguo Li, Tuo Zhao, Xiaoming Yuan, Han Liu:
The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R. CoRR abs/2006.15419 (2020)
2010 – 2019
- 2019
- [j74]WenYi Tian, Xiaoming Yuan:
An alternating direction method of multipliers with a worst-case O(1/n2) convergence rate. Math. Comput. 88(318): 1685-1713 (2019) - [i1]Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
Bilevel Integrative Optimization for Ill-posed Inverse Problems. CoRR abs/1907.03083 (2019) - 2018
- [j73]Min Tao, Xiaoming Yuan:
Convergence analysis of the direct extension of ADMM for multiple-block separable convex minimization. Adv. Comput. Math. 44(3): 773-813 (2018) - [j72]Bingsheng He, Xiaoming Yuan:
A class of ADMM-based algorithms for three-block separable convex programming. Comput. Optim. Appl. 70(3): 791-826 (2018) - [j71]Min Tao, Xiaoming Yuan:
The generalized proximal point algorithm with step size 2 is not necessarily convergent. Comput. Optim. Appl. 70(3): 827-839 (2018) - [j70]Xiangfeng Wang, Wenjie Zhang, Junchi Yan, Xiaoming Yuan, Hongyuan Zha:
On the flexibility of block coordinate descent for large-scale optimization. Neurocomputing 272: 471-480 (2018) - [j69]Min Tao, Xiaoming Yuan:
On Glowinski's Open Question on the Alternating Direction Method of Multipliers. J. Optim. Theory Appl. 179(1): 163-196 (2018) - [j68]Min Tao, Xiaoming Yuan:
On the Optimal Linear Convergence Rate of a Generalized Proximal Point Algorithm. J. Sci. Comput. 74(2): 826-850 (2018) - [j67]WenYi Tian, Xiaoming Yuan:
Convergence Analysis of Primal-Dual Based Methods for Total Variation Minimization with Finite Element Approximation. J. Sci. Comput. 76(1): 243-274 (2018) - [j66]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): 2095-2123 (2018) - [j65]Hangrui Yue, Qingzhi Yang, Xiangfeng Wang, Xiaoming Yuan:
Implementing the Alternating Direction Method of Multipliers for Big Datasets: A Case Study of Least Absolute Shrinkage and Selection Operator. SIAM J. Sci. Comput. 40(5): A3121-A3156 (2018) - 2017
- [j64]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): 39-73 (2017) - [j63]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): 279-293 (2017) - [j62]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): 914-928 (2017) - [j61]Min Tao, Xiaoming Yuan:
Accelerated Uzawa methods for convex optimization. Math. Comput. 86(306): 1821-1845 (2017) - [j60]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): 662-691 (2017) - [j59]Yongchao Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
Primal-dual hybrid gradient method for distributionally robust optimization problems. Oper. Res. Lett. 45(6): 625-630 (2017) - [j58]Michael K. Ng, Henry Y. T. Ngan, Xiaoming Yuan, Wenxing Zhang:
Lattice-Based Patterned Fabric Inspection by Using Total Variation with Sparsity and Low-Rank Representations. SIAM J. Imaging Sci. 10(4): 2140-2164 (2017) - 2016
- [j57]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): 1204-1217 (2016) - [j56]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): 57-79 (2016) - [j55]Bingsheng He, Feng Ma, Xiaoming Yuan:
Convergence Study on the Symmetric Version of ADMM with Larger Step Sizes. SIAM J. Imaging Sci. 9(3): 1467-1501 (2016) - 2015
- [j54]Xingguo Li, Tuo Zhao, Xiaoming Yuan, Han Liu:
The flare package for high dimensional linear regression and precision matrix estimation in R. J. Mach. Learn. Res. 16: 553-557 (2015) - [j53]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): 218-233 (2015) - [j52]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): 906-929 (2015) - [j51]Min Li, Xiaoming Yuan:
A Strictly Contractive Peaceman-Rachford Splitting Method with Logarithmic-Quadratic Proximal Regularization for Convex Programming. Math. Oper. Res. 40(4): 842-858 (2015) - [j50]Bingsheng He, Xiaoming Yuan:
On the convergence rate of Douglas-Rachford operator splitting method. Math. Program. 153(2): 715-722 (2015) - [j49]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): 149-187 (2015) - [j48]Xinxin Li, Michael K. Ng, Xiaoming Yuan:
Median filtering-based methods for static background extraction from surveillance video. Numer. Linear Algebra Appl. 22(5): 845-865 (2015) - [j47]Chuan Chen, Xutao Li, Michael K. Ng, Xiaoming Yuan:
Total variation based tensor decomposition for multi-dimensional data with time dimension. Numer. Linear Algebra Appl. 22(6): 999-1019 (2015) - [j46]Bingsheng He, Xiaoming Yuan:
On non-ergodic convergence rate of Douglas-Rachford alternating direction method of multipliers. Numerische Mathematik 130(3): 567-577 (2015) - [j45]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): 1332-1365 (2015) - [j44]Bingsheng He, Liusheng Hou, Xiaoming Yuan:
On Full Jacobian Decomposition of the Augmented Lagrangian Method for Separable Convex Programming. SIAM J. Optim. 25(4): 2274-2312 (2015) - 2014
- [j43]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): 135-161 (2014) - [j42]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: 203-221 (2014) - [j41]Deren Han, Xiaoming Yuan, Wenxing Zhang:
An augmented Lagrangian based parallel splitting method for separable convex minimization with applications to image processing. Math. Comput. 83(289): 2263-2291 (2014) - [j40]Houduo Qi, Xiaoming Yuan:
Computing the nearest Euclidean distance matrix with low embedding dimensions. Math. Program. 147(1-2): 351-389 (2014) - [j39]Deren Han, Hongjin He, Hai Yang, Xiaoming Yuan:
A customized Douglas-Rachford splitting algorithm for separable convex minimization with linear constraints. Numerische Mathematik 127(1): 167-200 (2014) - [j38]Bingsheng He, Yanfei You, Xiaoming Yuan:
On the Convergence of Primal-Dual Hybrid Gradient Algorithm. SIAM J. Imaging Sci. 7(4): 2526-2537 (2014) - [j37]Bingsheng He, Han Liu, Zhaoran Wang, Xiaoming Yuan:
A Strictly Contractive Peaceman-Rachford Splitting Method for Convex Programming. SIAM J. Optim. 24(3): 1011-1040 (2014) - [j36]Etienne Corman, Xiaoming Yuan:
A Generalized Proximal Point Algorithm and Its Convergence Rate. SIAM J. Optim. 24(4): 1614-1638 (2014) - [j35]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): 943-947 (2014) - 2013
- [j34]Deren Han, Xiaoming Yuan, Wenxing Zhang, Xingju Cai:
An ADM-based splitting method for separable convex programming. Comput. Optim. Appl. 54(2): 343-369 (2013) - [j33]Bingsheng He, Xiaoming Yuan, Wenxing Zhang:
A customized proximal point algorithm for convex minimization with linear constraints. Comput. Optim. Appl. 56(3): 559-572 (2013) - [j32]Min Li, Li-Zhi Liao, Xiao-Ming Yuan:
Inexact Alternating Direction Methods of Multipliers with Logarithmic-Quadratic Proximal Regularization. J. Optim. Theory Appl. 159(2): 412-436 (2013) - [j31]Junfeng Yang, Xiaoming Yuan:
Linearized augmented Lagrangian and alternating direction methods for nuclear norm minimization. Math. Comput. 82(281): 301-329 (2013) - [j30]Wei Hong Yang, Xiaoming Yuan:
The GUS-property of second-order cone linear complementarity problems. Math. Program. 141(1-2): 295-317 (2013) - [j29]Bingsheng He, Xiaoming Yuan:
Forward-backward-based descent methods for composite variational inequalities. Optim. Methods Softw. 28(4): 706-724 (2013) - [j28]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): 680-697 (2013) - [j27]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): 2233-2246 (2013) - [j26]Houduo Qi, Naihua Xiu, Xiaoming Yuan:
A Lagrangian Dual Approach to the Single-Source Localization Problem. IEEE Trans. Signal Process. 61(15): 3815-3826 (2013) - 2012
- [j25]Jianlin Jiang, Xiaoming Yuan:
A Barzilai-Borwein-based heuristic algorithm for locating multiple facilities with regional demand. Comput. Optim. Appl. 51(3): 1275-1295 (2012) - [j24]Min Tao, Xiaoming Yuan:
An inexact parallel splitting augmented Lagrangian method for monotone variational inequalities with separable structures. Comput. Optim. Appl. 52(2): 439-461 (2012) - [j23]Wenxing Zhang, Deren Han, Xiaoming Yuan:
An efficient simultaneous method for the constrained multiple-sets split feasibility problem. Comput. Optim. Appl. 52(3): 825-843 (2012) - [j22]Qing Ling, Min Tao, Wotao Yin, Xiaoming Yuan:
A multi-block alternating direction method with parallel splitting for decentralized consensus optimization. EURASIP J. Wirel. Commun. Netw. 2012: 338 (2012) - [j21]Suoliang Jiang, Deren Han, Xiaoming Yuan:
Efficient neural networks for solving variational inequalities. Neurocomputing 86: 97-106 (2012) - [j20]Bingsheng He, Xiaoming Yuan:
An Accelerated Inexact Proximal Point Algorithm for Convex Minimization. J. Optim. Theory Appl. 154(2): 536-548 (2012) - [j19]Deren Han, Xiaoming Yuan:
A Note on the Alternating Direction Method of Multipliers. J. Optim. Theory Appl. 155(1): 227-238 (2012) - [j18]Xiaoming Yuan:
Alternating Direction Method for Covariance Selection Models. J. Sci. Comput. 51(2): 261-273 (2012) - [j17]Bingsheng He, Xiaoming Yuan:
Convergence Analysis of Primal-Dual Algorithms for a Saddle-Point Problem: From Contraction Perspective. SIAM J. Imaging Sci. 5(1): 119-149 (2012) - [j16]Bingsheng He, Min Tao, Xiaoming Yuan:
Alternating Direction Method with Gaussian Back Substitution for Separable Convex Programming. SIAM J. Optim. 22(2): 313-340 (2012) - [j15]Min Tao, Xiaoming Yuan:
On the O(1/t) Convergence Rate of Alternating Direction Method with Logarithmic-Quadratic Proximal Regularization. SIAM J. Optim. 22(4): 1431-1448 (2012) - [j14]Bingsheng He, Xiaoming Yuan:
On the O(1/n) Convergence Rate of the Douglas-Rachford Alternating Direction Method. SIAM J. Numer. Anal. 50(2): 700-709 (2012) - 2011
- [j13]Xiaoming Yuan:
An improved proximal alternating direction method for monotone variational inequalities with separable structure. Comput. Optim. Appl. 49(1): 17-29 (2011) - [j12]Michael K. Ng, Fan Wang, Xiao-Ming Yuan:
Fast minimization methods for solving constrained total-variation superresolution image reconstruction. Multidimens. Syst. Signal Process. 22(1-3): 259-286 (2011) - [j11]Raymond H. Chan, Junfeng Yang, Xiaoming Yuan:
Alternating Direction Method for Image Inpainting in Wavelet Domains. SIAM J. Imaging Sci. 4(3): 807-826 (2011) - [j10]Min Tao, Xiaoming Yuan:
Recovering Low-Rank and Sparse Components of Matrices from Incomplete and Noisy Observations. SIAM J. Optim. 21(1): 57-81 (2011) - [j9]Xiao-Ming Yuan, Min Li:
An LQP-Based Decomposition Method for Solving a Class of Variational Inequalities. SIAM J. Optim. 21(4): 1309-1318 (2011) - [j8]Bingsheng He, Minghua Xu, Xiaoming Yuan:
Solving Large-Scale Least Squares Semidefinite Programming by Alternating Direction Methods. SIAM J. Matrix Anal. Appl. 32(1): 136-152 (2011) - [j7]Michael K. Ng, Fan Wang, Xiaoming Yuan:
Inexact Alternating Direction Methods for Image Recovery. SIAM J. Sci. Comput. 33(4): 1643-1668 (2011) - 2010
- [j6]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): 237-257 (2010) - [j5]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): 2710-2736 (2010)
2000 – 2009
- 2009
- [j4]Heinz H. Bauschke, Xianfu Wang, Jane J. Ye, Xiaoming Yuan:
Bregman distances and Klee sets. J. Approx. Theory 158(2): 170-183 (2009) - [j3]Heinz H. Bauschke, Xianfu Wang, Jane J. Ye, Xiaoming Yuan:
Bregman distances and Chebyshev sets. J. Approx. Theory 159(1): 3-25 (2009) - 2006
- [j2]Bingsheng He, Ya Xu, Xiao-Ming Yuan:
A Logarithmic-Quadratic Proximal Prediction-Correction Method for Structured Monotone Variational Inequalities. Comput. Optim. Appl. 35(1): 19-46 (2006) - 2004
- [j1]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): 247-267 (2004)
Coauthor Index
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