Xiaoming Yuan - RankMe

99 papers A* 4Journal 95

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FASP: Fast and Accurate Structured Pruning of Large Language Models. CoRR Hanyu Hu, Pengxiang Zhao, Ping Li, Yi Zheng, Zhefeng Wang, Xiaoming Yuan
2025	A*	`conf`	FISTAPruner: Layer-wise Post-training Pruning for Large Language Models. EMNLP Pengxiang Zhao, Hanyu Hu, Ping Li, Yi Zheng, Zhefeng Wang, Xiaoming Yuan
2025	A*	`conf`	GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models. ICML Pengxiang Zhao, Xiaoming Yuan
2024	J	`jnl`	A Convex-optimization-based Layer-wise Post-training Pruner for Large Language Models. CoRR Pengxiang Zhao, Hanyu Hu, Ping Li, Yi Zheng, Zhefeng Wang, Xiaoming Yuan
2024	J	`jnl`	Adapprox: Adaptive Approximation in Adam Optimization via Randomized Low-Rank Matrices. CoRR Pengxiang Zhao, Ping Li, Yingjie Gu, Yi Zheng, Stephan Ludger Kölker, Zhefeng Wang, Xiaoming Yuan
2024	J	`jnl`	Circling Reduction Algorithm for Cloud Edge Traffic Allocation Under the 95th Percentile Billing. IEEE/ACM Trans. Netw. Pengxiang Zhao, Jintao You, Xiaoming Yuan
2024	J	`jnl`	Coverage Axis++: Efficient Inner Point Selection for 3D Shape Skeletonization. Comput. Graph. Forum Zimeng Wang, Zhiyang Dou, Rui Xu, Cheng Lin, Yuan Liu, Xiaoxiao Long, Shiqing Xin, Taku Komura, Xiaoming Yuan, Wenping Wang
2024	J	`jnl`	Coverage Axis++: Efficient Inner Point Selection for 3D Shape Skeletonization. CoRR Zimeng Wang, Zhiyang Dou, Rui Xu, Cheng Lin, Yuan Liu, Xiaoxiao Long, Shiqing Xin, Lingjie Liu, Taku Komura, Xiaoming Yuan, Wenping Wang
2024	J	`jnl`	Huawei Cloud Adopts Operations Research for Live Streaming Services to Save Network Bandwidth Cost: The INFORMS J. Appl. Anal. Xiaoming Yuan, Pengxiang Zhao, Hanyu Hu, Jintao You, Changpeng Yang, Wen Peng, Yonghong Kang, Kwong Meng Teo
2023	J	`jnl`	A General Descent Aggregation Framework for Gradient-Based Bi-Level Optimization. IEEE Trans. Pattern Anal. Mach. Intell. Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2023	J	`jnl`	A globally convergent proximal Newton-type method in nonsmooth convex optimization. Math. Program. Boris S. Mordukhovich, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2023	J	`jnl`	A rank-two relaxed parallel splitting version of the augmented Lagrangian method with step size in (0,2) for separable convex programming. Math. Comput. Bingsheng He, Feng Ma, Shengjie Xu, Xiaoming Yuan
2023	J	`jnl`	Difference of convex algorithms for bilevel programs with applications in hyperparameter selection. Math. Program. Jane J. Ye, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2022	J	`jnl`	A Generalized Primal-Dual Algorithm with Improved Convergence Condition for Saddle Point Problems. SIAM J. Imaging Sci. Bingsheng He, Feng Ma, Shengjie Xu, Xiaoming Yuan
2022	J	`jnl`	Bilinear Optimal Control of an Advection-Reaction-Diffusion System. SIAM Rev. Roland Glowinski, Yongcun Song, Xiaoming Yuan, Hangrui Yue
2022	J	`jnl`	Network Bandwidth Allocation Problem For Cloud Computing. CoRR Changpeng Yang, Jintao You, Xiaoming Yuan, Pengxiang Zhao
2022	J	`jnl`	On Convergence of the Arrow-Hurwicz Method for Saddle Point Problems. J. Math. Imaging Vis. Bingsheng He, Shengjie Xu, Xiaoming Yuan
2022	J	`jnl`	Task-Oriented Convex Bilevel Optimization With Latent Feasibility. IEEE Trans. Image Process. Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2021	J	`jnl`	A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization. CoRR Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2021	A*	`conf`	A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization. ICML Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2021	J	`jnl`	A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization. CoRR Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2021	J	`jnl`	An ADMM-Newton-CNN Numerical Approach to a TV Model for Identifying Discontinuous Diffusion Coefficients in Elliptic Equations: Convex Case with Gradient Observations. CoRR Wenyi Tian, Xiaoming Yuan, Hangrui Yue
2020	A*	`conf`	A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton. ICML Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2020	J	`jnl`	A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton. CoRR Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2020	J	`jnl`	An ADMM numerical approach to linear parabolic state constrained optimal control problems. Numerische Mathematik Roland Glowinski, Yongcun Song, Xiaoming Yuan
2020	J	`jnl`	Discerning the Linear Convergence of ADMM for Structured Convex Optimization through the Lens of Variational Analysis. J. Mach. Learn. Res. Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2020	J	`jnl`	Optimally linearizing the alternating direction method of multipliers for convex programming. Comput. Optim. Appl. Bingsheng He, Feng Ma, Xiaoming Yuan
2020	J	`jnl`	The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R. CoRR Xingguo Li, Tuo Zhao, Xiaoming Yuan, Han Liu
2019	J	`jnl`	An alternating direction method of multipliers with a worst-case O(1/n Math. Comput. Wenyi Tian, Xiaoming Yuan
2019	J	`jnl`	Bilevel Integrative Optimization for Ill-posed Inverse Problems. CoRR Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2018	J	`jnl`	A class of ADMM-based algorithms for three-block separable convex programming. Comput. Optim. Appl. Bingsheng He, Xiaoming Yuan
2018	J	`jnl`	Convergence Analysis of Primal-Dual Based Methods for Total Variation Minimization with Finite Element Approximation. J. Sci. Comput. Wenyi Tian, Xiaoming Yuan
2018	J	`jnl`	Convergence analysis of the direct extension of ADMM for multiple-block separable convex minimization. Adv. Comput. Math. Min Tao, Xiaoming Yuan
2018	J	`jnl`	Implementing the Alternating Direction Method of Multipliers for Big Datasets: A Case Study of Least Absolute Shrinkage and Selection Operator. SIAM J. Sci. Comput. Hangrui Yue, Qingzhi Yang, Xiangfeng Wang, Xiaoming Yuan
2018	J	`jnl`	On Glowinski's Open Question on the Alternating Direction Method of Multipliers. J. Optim. Theory Appl. Min Tao, Xiaoming Yuan
2018	J	`jnl`	On the Optimal Linear Convergence Rate of a Generalized Proximal Point Algorithm. J. Sci. Comput. Min Tao, Xiaoming Yuan
2018	J	`jnl`	On the flexibility of block coordinate descent for large-scale optimization. Neurocomputing Xiangfeng Wang, Wenjie Zhang, Junchi Yan, Xiaoming Yuan, Hongyuan Zha
2018	J	`jnl`	Partial Error Bound Conditions and the Linear Convergence Rate of the Alternating Direction Method of Multipliers. SIAM J. Numer. Anal. Yongchao Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2018	J	`jnl`	The generalized proximal point algorithm with step size 2 is not necessarily convergent. Comput. Optim. Appl. Min Tao, Xiaoming Yuan
2017	J	`jnl`	Accelerated Uzawa methods for convex optimization. Math. Comput. Min Tao, Xiaoming Yuan
2017	J	`jnl`	An Algorithmic Framework of Generalized Primal-Dual Hybrid Gradient Methods for Saddle Point Problems. J. Math. Imaging Vis. Bingsheng He, Feng Ma, Xiaoming Yuan
2017	J	`jnl`	Convergence Rate Analysis for the Alternating Direction Method of Multipliers with a Substitution Procedure for Separable Convex Programming. Math. Oper. Res. Bingsheng He, Min Tao, Xiaoming Yuan
2017	J	`jnl`	Lattice-Based Patterned Fabric Inspection by Using Total Variation with Sparsity and Low-Rank Representations. SIAM J. Imaging Sci. Michael K. Ng, Henry Y. T. Ngan, Xiaoming Yuan, Wenxing Zhang
2017	J	`jnl`	On the Iteration Complexity of Some Projection Methods for Monotone Linear Variational Inequalities. J. Optim. Theory Appl. Caihua Chen, Xiaoling Fu, Bingsheng He, Xiaoming Yuan
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
2017	J	`jnl`	Primal-dual hybrid gradient method for distributionally robust optimization problems. Oper. Res. Lett. Yongchao Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2016	J	`jnl`	Convergence Study on the Symmetric Version of ADMM with Larger Step Sizes. SIAM J. Imaging Sci. Bingsheng He, Feng Ma, Xiaoming Yuan
2016	J	`jnl`	On the Proximal Jacobian Decomposition of ALM for Multiple-Block Separable Convex Minimization Problems and Its Relationship to ADMM. J. Sci. Comput. Bingsheng He, Hong-Kun Xu, Xiaoming Yuan
2016	J	`jnl`	The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent. Math. Program. Caihua Chen, Bingsheng He, Yinyu Ye, Xiaoming Yuan
2015	J	`jnl`	A Proximal Strictly Contractive Peaceman-Rachford Splitting Method for Convex Programming with Applications to Imaging. SIAM J. Imaging Sci. Xinxin Li, Xiaoming Yuan
2015	J	`jnl`	A Strictly Contractive Peaceman-Rachford Splitting Method with Logarithmic-Quadratic Proximal Regularization for Convex Programming. Math. Oper. Res. Min Li, Xiaoming Yuan
2015	J	`jnl`	Convergence Analysis of the Generalized Alternating Direction Method of Multipliers with Logarithmic-Quadratic Proximal Regularization. J. Optim. Theory Appl. Min Li, Xinxin Li, Xiaoming Yuan
2015	J	`jnl`	Further Study on the Convergence Rate of Alternating Direction Method of Multipliers with Logarithmic-quadratic Proximal Regularization. J. Optim. Theory Appl. Caihua Chen, Min Li, Xiaoming Yuan
2015	J	`jnl`	Generalized alternating direction method of multipliers: new theoretical insights and applications. Math. Program. Comput. Ethan X. Fang, Bingsheng He, Han Liu, Xiaoming Yuan
2015	J	`jnl`	Median filtering-based methods for static background extraction from surveillance video. Numer. Linear Algebra Appl. Xinxin Li, Michael K. Ng, Xiaoming Yuan
2015	J	`jnl`	On Full Jacobian Decomposition of the Augmented Lagrangian Method for Separable Convex Programming. SIAM J. Optim. Bingsheng He, Liusheng Hou, Xiaoming Yuan
2015	J	`jnl`	On non-ergodic convergence rate of Douglas-Rachford alternating direction method of multipliers. Numerische Mathematik Bingsheng He, Xiaoming Yuan
2015	J	`jnl`	On the convergence rate of Douglas-Rachford operator splitting method. Math. Program. Bingsheng He, Xiaoming Yuan
2015	J	`jnl`	The flare package for high dimensional linear regression and precision matrix estimation in R. J. Mach. Learn. Res. Xingguo Li, Tuo Zhao, Xiaoming Yuan, Han Liu
2015	J	`jnl`	Total variation based tensor decomposition for multi-dimensional data with time dimension. Numer. Linear Algebra Appl. Chuan Chen, Xutao Li, Michael K. Ng, Xiaoming Yuan
2014	J	`jnl`	A Generalized Proximal Point Algorithm and Its Convergence Rate. SIAM J. Optim. Etienne Corman, Xiaoming Yuan
2014	J	`jnl`	A Strictly Contractive Peaceman-Rachford Splitting Method for Convex Programming. SIAM J. Optim. Bingsheng He, Han Liu, Zhaoran Wang, Xiaoming Yuan
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`	An augmented Lagrangian based parallel splitting method for separable convex minimization with applications to image processing. Math. Comput. Deren Han, Xiaoming Yuan, Wenxing Zhang
2014	J	`jnl`	Computing the nearest Euclidean distance matrix with low embedding dimensions. Math. Program. Houduo Qi, Xiaoming Yuan
2014	J	`jnl`	Customized proximal point algorithms for linearly constrained convex minimization and saddle-point problems: a unified approach. Comput. Optim. Appl. Guoyong Gu, Bingsheng He, Xiaoming Yuan
2014	J	`jnl`	Linearized alternating direction method of multipliers for sparse group and fused LASSO models. Comput. Stat. Data Anal. Xinxin Li, Lili Mo, Xiaoming Yuan, Jianzhong Zhang
2014	J	`jnl`	On the Convergence of Primal-Dual Hybrid Gradient Algorithm. SIAM J. Imaging Sci. Bingsheng He, Yanfei You, Xiaoming Yuan
2014	J	`jnl`	Patterned Fabric Inspection and Visualization by the Method of Image Decomposition. IEEE Trans Autom. Sci. Eng. Michael K. Ng, Henry Y. T. Ngan, Xiaoming Yuan, Wenxing Zhang
2013	J	`jnl`	A Lagrangian Dual Approach to the Single-Source Localization Problem. IEEE Trans. Signal Process. Houduo Qi, Naihua Xiu, Xiaoming Yuan
2013	J	`jnl`	A customized proximal point algorithm for convex minimization with linear constraints. Comput. Optim. Appl. Bingsheng He, Xiaoming Yuan, Wenxing Zhang
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`	Constrained Total Variation Deblurring Models and Fast Algorithms Based on Alternating Direction Method of Multipliers. SIAM J. Imaging Sci. Raymond H. Chan, Min Tao, Xiaoming Yuan
2013	J	`jnl`	Coupled Variational Image Decomposition and Restoration Model for Blurred Cartoon-Plus-Texture Images With Missing Pixels. IEEE Trans. Image Process. Michael K. Ng, Xiaoming Yuan, Wenxing Zhang
2013	J	`jnl`	Forward-backward-based descent methods for composite variational inequalities. Optim. Methods Softw. Bingsheng He, Xiaoming Yuan
2013	J	`jnl`	Linearized augmented Lagrangian and alternating direction methods for nuclear norm minimization. Math. Comput. Junfeng Yang, Xiaoming Yuan
2013	J	`jnl`	The GUS-property of second-order cone linear complementarity problems. Math. Program. Wei Hong Yang, Xiaoming Yuan
2012	J	`jnl`	A Barzilai-Borwein-based heuristic algorithm for locating multiple facilities with regional demand. Comput. Optim. Appl. Jianlin Jiang, Xiaoming Yuan
2012	J	`jnl`	A Note on the Alternating Direction Method of Multipliers. J. Optim. Theory Appl. Deren Han, Xiaoming Yuan
2012	J	`jnl`	A multi-block alternating direction method with parallel splitting for decentralized consensus optimization. EURASIP J. Wirel. Commun. Netw. Qing Ling, Min Tao, Wotao Yin, Xiaoming Yuan
2012	J	`jnl`	Alternating Direction Method for Covariance Selection Models. J. Sci. Comput. Xiaoming Yuan
2012	J	`jnl`	Alternating Direction Method with Gaussian Back Substitution for Separable Convex Programming. SIAM J. Optim. Bingsheng He, Min Tao, Xiaoming Yuan
2012	J	`jnl`	An Accelerated Inexact Proximal Point Algorithm for Convex Minimization. J. Optim. Theory Appl. Bingsheng He, 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 inexact parallel splitting augmented Lagrangian method for monotone variational inequalities with separable structures. Comput. Optim. Appl. Min Tao, Xiaoming Yuan
2012	J	`jnl`	Convergence Analysis of Primal-Dual Algorithms for a Saddle-Point Problem: From Contraction Perspective. SIAM J. Imaging Sci. Bingsheng He, Xiaoming Yuan
2012	J	`jnl`	Efficient neural networks for solving variational inequalities. Neurocomputing Suoliang Jiang, Deren Han, Xiaoming Yuan
2012	J	`jnl`	On the O(1/n) Convergence Rate of the Douglas-Rachford Alternating Direction Method. SIAM J. Numer. Anal. Bingsheng He, Xiaoming Yuan
2012	J	`jnl`	On the O(1/t) Convergence Rate of Alternating Direction Method with Logarithmic-Quadratic Proximal Regularization. SIAM J. Optim. Min Tao, Xiaoming Yuan
2011	J	`jnl`	Alternating Direction Method for Image Inpainting in Wavelet Domains. SIAM J. Imaging Sci. Raymond H. Chan, Junfeng Yang, Xiaoming Yuan
2011	J	`jnl`	An improved proximal alternating direction method for monotone variational inequalities with separable structure. Comput. Optim. Appl. Xiaoming Yuan
2011	J	`jnl`	Inexact Alternating Direction Methods for Image Recovery. SIAM J. Sci. Comput. Michael K. Ng, Fan Wang, Xiaoming Yuan
2011	J	`jnl`	Recovering Low-Rank and Sparse Components of Matrices from Incomplete and Noisy Observations. SIAM J. Optim. Min Tao, Xiaoming Yuan
2011	J	`jnl`	Solving Large-Scale Least Squares Semidefinite Programming by Alternating Direction Methods. SIAM J. Matrix Anal. Appl. Bingsheng He, Minghua Xu, Xiaoming Yuan
2010	J	`jnl`	Solving Constrained Total-variation Image Restoration and Reconstruction Problems via Alternating Direction Methods. SIAM J. Sci. Comput. Michael K. Ng, Pierre Weiss, Xiaoming Yuan
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`	Bregman distances and Chebyshev sets. J. Approx. Theory Heinz H. Bauschke, Xianfu Wang, Jane J. Ye, Xiaoming Yuan
2009	J	`jnl`	Bregman distances and Klee sets. J. Approx. Theory Heinz H. Bauschke, Xianfu Wang, Jane J. Ye, Xiaoming Yuan
2004	J	`jnl`	Comparison of Two Kinds of Prediction-Correction Methods for Monotone Variational Inequalities. Comput. Optim. Appl. Bingsheng He, Xiaoming Yuan, Jason J. Z. Zhang