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Leyu Hu
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All published works
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Title
Year
Authors
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A distributed Douglas-Rachford splitting method for solving linear constrained multi-block weakly convex problems
2024
Leyu Hu
Jiaxin Xie
Xingju Cai
Deren Han
+
PDF
Chat
A distributed Douglas-Rachford splitting method for solving linear constrained multi-block weakly convex problems
2024
Leyu Hu
Jiaxin Xie
Xingju Cai
Deren Han
+
PDF
Chat
Convergence of a randomized Douglas-Rachford method for linear system
2020
Leyu Hu
Xingju Cai
Common Coauthors
Coauthor
Papers Together
Xingju Cai
3
Jiaxin Xie
2
Deren Han
1
Deren Han
1
Commonly Cited References
Action
Title
Year
Authors
# of times referenced
+
Finite-Dimensional Variational Inequalities and Complementarity Problems
2004
Francisco Facchinei
Jong‐Shi Pang
1
+
Proximal-Point Algorithm Using a Linear Proximal Term
2009
Bing He
Xinghe Fu
Zhikai Jiang
1
+
PDF
Chat
An augmented Lagrangian based parallel splitting method for separable convex minimization with applications to image processing
2014
Deren Han
Xiaoming Yuan
Wenxing Zhang
1
+
PDF
Chat
On the numerical solution of heat conduction problems in two and three space variables
1956
Jim Douglas
H.H. Rachford
1
+
Alternating Direction Method with Gaussian Back Substitution for Separable Convex Programming
2012
Bingsheng He
Min Tao
Xiaoming Yuan
1
+
Block-iterative methods for consistent and inconsistent linear equations
1980
Tommy Elfving
1
+
PDF
Chat
<formula formulatype="inline"><tex Notation="TeX">$L_{1/2}$</tex> </formula> Regularization: Convergence of Iterative Half Thresholding Algorithm
2014
Jinshan Zeng
Shaobo Lin
Yao Wang
Zongben Xu
1
+
A coordinate gradient descent method for nonsmooth separable minimization
2007
Paul Tseng
Sangwoon Yun
1
+
An Algorithm for Restricted Least Squares Regression
1983
Richard L. Dykstra
1
+
On the convergence of von Neumann's alternating projection algorithm for two sets
1993
Heinz H. Bauschke
Jonathan M. Borwein
1
+
<formula formulatype="inline"> <tex Notation="TeX">$L_{1/2}$</tex></formula> Regularization: A Thresholding Representation Theory and a Fast Solver
2012
Zongben Xu
Xiangyu Chang
Fengmin Xu
Hai Zhang
1
+
Multiplier and gradient methods
1969
Magnus R. Hestenes
1
+
A proximal-based decomposition method for convex minimization problems
1994
Gong Chen
Marc Teboulle
1
+
Recovering Low-Rank and Sparse Components of Matrices from Incomplete and Noisy Observations
2011
Min Tao
Xiaoming Yuan
1
+
PDF
Chat
On the Linear Convergence of Descent Methods for Convex Essentially Smooth Minimization
1992
Zhi‐Quan Luo
Paul Tseng
1
+
A proximal parallel splitting method for minimizing sum of convex functions with linear constraints
2013
Deren Han
Hongjin He
Lingling Xu
1
+
Error bounds and convergence analysis of feasible descent methods: a general approach
1993
Zhi-Quan Luo
Paul Tseng
1
+
Bregman operator splitting with variable stepsize for total variation image reconstruction
2012
Yunmei Chen
William W. Hager
Maryam Yashtini
Xiaojing Ye
Hongchao Zhang
1
+
A distributed Douglas-Rachford splitting method for multi-block convex minimization problems
2015
Hongjin He
Deren Han
1
+
On Full Jacobian Decomposition of the Augmented Lagrangian Method for Separable Convex Programming
2015
Bingsheng He
Liusheng Hou
Xiaoming Yuan
1
+
PDF
Chat
Parallel Multi-Block ADMM with o(1 / k) Convergence
2016
Wei Deng
Ming‐Jun Lai
Zhimin Peng
Wotao Yin
1
+
Convergence Analysis of Douglas--Rachford Splitting Method for “Strongly + Weakly” Convex Programming
2017
Ke Guo
Deren Han
Xiaoming Yuan
1
+
On Greedy Randomized Kaczmarz Method for Solving Large Sparse Linear Systems
2018
Zhong‐Zhi Bai
Wen-Ting Wu
1
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A note on the Douglas–Rachford splitting method for optimization problems involving hypoconvex functions
2018
Ke Guo
Deren Han
1
+
Convergence Rates for Greedy Kaczmarz Algorithms, and Faster Randomized Kaczmarz Rules Using the Orthogonality Graph
2016
Julie Nutini
Behrooz Sepehry
Issam Laradji
Mark Schmidt
Hoyt Koepke
Alim Virani
1
+
Convergence Analysis of the Generalized Splitting Methods for a Class of Nonconvex Optimization Problems
2019
Min Li
Zhongming Wu
1
+
PDF
Chat
Convergence of multi-block Bregman ADMM for nonconvex composite problems
2018
Fenghui Wang
Wenfei Cao
Zongben Xu
1
+
PDF
Chat
Alternating Direction Method of Multipliers for a Class of Nonconvex and Nonsmooth Problems with Applications to Background/Foreground Extraction
2017
Lei Yang
Ting Kei Pong
Xiaojun Chen
1
+
PDF
Chat
Douglas–Rachford splitting for nonconvex optimization with application to nonconvex feasibility problems
2015
Guoyin Li
Ting Kei Pong
1
+
PDF
Chat
A Cyclic Douglas–Rachford Iteration Scheme
2013
Jonathan M. Borwein
Matthew K. Tam
1
+
PDF
Chat
Douglas--Rachford Splitting and ADMM for Nonconvex Optimization: Tight Convergence Results
2020
Andreas Themelis
Panagiotis Patrinos
1
+
PDF
Chat
STAR: A Structure and Texture Aware Retinex Model
2020
Jun Xu
Yingkun Hou
Dongwei Ren
Li Liu
Fan Zhu
Mengyang Yu
Haoqian Wang
Ling Shao
1
+
PDF
Chat
Global Convergence of Splitting Methods for Nonconvex Composite Optimization
2015
Guoyin Li
Ting Kei Pong
1
+
Local Linear Convergence of the Alternating Direction Method of Multipliers for Nonconvex Separable Optimization Problems
2021
Zehui Jia
Xue Gao
Xingju Cai
Deren Han
1
+
PDF
Chat
Multi-block Nonconvex Nonsmooth Proximal ADMM: Convergence and Rates Under Kurdyka–Łojasiewicz Property
2021
Maryam Yashtini
1
+
Variational Analysis
1998
R. T. Rockafellar
Roger J.‐B. Wets
1
+
An efficient partial parallel method with scaling step size strategy for three-block convex optimization problems
2022
Yaning Jiang
Deren Han
Xingju Cai
1