Yun-Hai Xiao

Most-cited papers

1. A conjugate gradient method to solve convex constrained monotone equations with applications in compressive sensing

   Yun-Hai Xiao, Hong Zhu

   2013270 citations Open access

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2. Non-smooth equations based method for l 1 -norm problems with applications to compressed sensing

   Yun-Hai Xiao, Qiuyu Wang, Qingjie Hu

   2011199 citations

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3. Spectral gradient projection method for monotone nonlinear equations with convex constraints

   Zhen-Sheng Yu, Ji Lin, Jing Sun, Yun-Hai Xiao +2 more

   2009165 citations

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4. A limited memory BFGS-type method for large-scale unconstrained optimization

   Yun-Hai Xiao, Zeng-Xin Wei, Zhi-Guo Wang

   2008Computers and Mathematics with Applications89 citations Open access

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5. A class of conjugate gradient methods for convex constrained monotone equations

   Yan-Yun Ding, Yun-Hai Xiao, Jianwei Li

   201762 citations

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6. An Inexact Alternating Directions Algorithm for Constrained Total Variation Regularized Compressive Sensing Problems

   Yun-Hai Xiao, Huina Song

   2012Journal of Mathematical Imaging and Vision52 citations

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7. Nonlinear Conjugate Gradient Methods with Sufficient Descent Condition for Large-Scale Unconstrained Optimization

   Jian-Guo Zhang, Yun-Hai Xiao, Zeng-Xin Wei

   200952 citations Open access

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8. Alternating algorithms for total variation image reconstruction from random projections

   Yun-Hai Xiao, Junfeng Yang, Xiao-Ming Yuan

   201250 citations Open access

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9. Primal and dual alternating direction algorithms for ℓ1-ℓ1-norm minimization problems in compressive sensing

   Yun-Hai Xiao, Hong Zhu, Soon-Yi Wu

   2013Computational optimization and applications39 citations

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10. A generalized alternating direction method of multipliers with semi-proximal terms for convex composite conic programming

    Yun-Hai Xiao, Liang Chen, Dong-Hui Li

    2015Mathematical Programming Computation38 citations Open access

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11. Notes on the Dai-Yuan-Yuan modified spectral gradient method

    Yun-Hai Xiao, Qiuyu Wang, Dong Wang

    2010Journal of Computational and Applied Mathematics33 citations Open access

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12. Large sparse signal recovery by conjugate gradient algorithm based on smoothing technique

    Hong Zhu, Yun-Hai Xiao, Soon-Yi Wu

    2013Computers and Mathematics with Applications26 citations Open access

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13. A family of derivative-free conjugate gradient methods for large-scale nonlinear systems of equations

    Wan-You Cheng, Yun-Hai Xiao, Qingjie Hu

    200925 citations Open access

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14. An alternating direction method for linear‐constrained matrix nuclear norm minimization

    Yun-Hai Xiao, Zheng-Fen Jin

    2012Numerical Linear Algebra with Applications23 citations

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15. Nonmonotone Barzilai–Borwein Gradient Algorithm for ℓ1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\ell _{1}$$\end{

    Yun-Hai Xiao, Soon-Yi Wu, L. Qi

    2012Journal of Scientific Computing21 citations Open access

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16. Subspace Barzilai-Borwein Gradient Method for Large-Scale Bound Constrained Optimization

    Yun-Hai Xiao, Qingjie Hu

    200819 citations

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17. Norm descent conjugate gradient methods for solving symmetric nonlinear equations

    Yun-Hai Xiao, Chunjie Wu, Soon-Yi Wu

    2014Journal of Global Optimization18 citations

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18. A Fast Algorithm for Total Variation Image Reconstruction from Random Projections

    Yun-Hai Xiao, Junfeng Yang

    201018 citations

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19. An efficient algorithm for sparse inverse covariance matrix estimation based on dual formulation

    Pei-Li Li, Yun-Hai Xiao

    2018Computational Statistics & Data Analysis17 citations

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20. Splitting and linearizing augmented Lagrangian algorithm for subspace recovery from corrupted observations

    Yun-Hai Xiao, Soon-Yi Wu, Dong-Hui Li

    2011Advances in Computational Mathematics15 citations

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21. A globally convergent BFGS method with nonmonotone line search for non-convex minimization

    Yun-Hai Xiao, Hui-Juan Sun, Zhi-Guo Wang

    200915 citations Open access

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22. A new subspace limited memory BFGS algorithm for large-scale bound constrained optimization

    Yun-Hai Xiao, Zeng-Xin Wei

    2007Applied Mathematics and Computation15 citations

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23. Linearized alternating directions method for ℓ1-norm inequality constrained ℓ1-norm minimization

    Shu-Han Cao, Yun-Hai Xiao, Hong Zhu

    201414 citations

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24. Primal and dual alternating direction algorithms for ℓ1-ℓ1-norm minimization problems in compressive sensing

    Yun-Hai Xiao, Hong Zhu, Soon-Yi Wu

    2012Computational optimization and applications14 citations

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25. A proximal alternating direction method for $\ell_{2,1}$-norm least squares problem in multi-taskfeature learning

    Yun-Hai Xiao, Soon-Yi Wu, B. He

    201213 citations Open access

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26. An active set limited memory BFGS algorithm for large-scale bound constrained optimization

    Yun-Hai Xiao, Dong-Hui Li

    2008Math. Methods Oper. Res.13 citations

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27. Global convergence of a modified limited memory BFGS method for non-convex minimization

    Yun-Hai Xiao, Ting Li, Zeng-Xin Wei

    201312 citations

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28. Sufficient descent directions in unconstrained optimization

    Xiaomin An, Dong-Hui Li, Yun-Hai Xiao

    2011Computational optimization and applications12 citations

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29. A Binary Characterization Method for Shape Convexity and Applications

    Shou-Sheng Luo, Jinfeng Chen, Yun-Hai Xiao, Xuecheng Tai

    2022Applied Mathematical Modelling10 citations Open access

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30. A limited memory BFGS algorithm for non-convex minimization with applications in matrix largest eigenvalue problem

    Zhan-Wen Shi, Guan-Yu Yang, Yun-Hai Xiao

    2015Mathematical Methods of Operations Research10 citations

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31. Modified subspace limited memory BFGS algorithm for large-scale bound constrained optimization

    Yun-Hai Xiao, Hong-Chuan Zhang

    200810 citations Open access

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32. A penalty decomposition method for rank minimization problem with affine constraints

    Zheng-Fen Jin, Z. Wan, Xiao-Ke Zhao, Yun-Hai Xiao

    20159 citations Open access

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33. Symmetric Gauss–Seidel Technique-Based Alternating Direction Methods of Multipliers for Transform Invariant Low-Rank Textures Problem

    Yan-Yun Ding, Yun-Hai Xiao

    2017Journal of Mathematical Imaging and Vision8 citations Open access

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34. A modified conjugate gradient algorithm with cyclic Barzilai-Borwein steplength for unconstrained optimization

    Yun-Hai Xiao, Huina Song, Zhi-Guo Wang

    2012Journal of Computational and Applied Mathematics8 citations Open access

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35. An efficient semismooth Newton method for adaptive sparse signal recovery problems

    Yan-Yun Ding, Haibin Zhang, Pei-Heng Li, Yun-Hai Xiao

    2021Optim. Methods Softw.7 citations Open access

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36. Efficient dual ADMMs for sparse compressive sensing MRI reconstruction

    Yan-Yun Ding, Pei-Heng Li, Yun-Hai Xiao, Haibin Zhang

    2021Mathematical Methods of Operations Research6 citations Open access

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37. An efficient algorithm for batch images alignment with adaptive rank-correction term

    Shuangyue Wang, Yun-Hai Xiao, Zheng-Fen Jin

    2019Journal of Computational and Applied Mathematics6 citations Open access

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38. Modified active set projected spectral gradient method for bound constrained optimization

    Yun-Hai Xiao, Qingjie Hu, Zeng-Xin Wei

    20116 citations Open access

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39. Nonlinear Conjugate Gradient Method for 1 l -norm Regularization Problems in Compressive Sensing

    Ke Yin, Yun-Hai Xiao, Ming-Liang Zhang

    20115 citations

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40. Sparse Estimation of High-Dimensional Inverse Covariance Matrices with Explicit Eigenvalue Constraints

    Yun-Hai Xiao, Pei-Li Li, Shan Lu

    2021Journal of the Operations Research Society of China4 citations

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41. Linear convergence rate analysis of proximal generalized ADMM for convex composite programming

    Han Wang, Yun-Hai Xiao

    2022Optimization Letters3 citations Open access

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42. A Simple Sufficient Descent Method for Unconstrained Optimization

    Ming-Liang Zhang, Yun-Hai Xiao, Dan Zhou

    20103 citations Open access

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43. Robust Fused Lasso Penalized Huber Regression with Nonasymptotic Property and Implementation Studies

    Xin Xin, Bo-Yi Xie, Yun-Hai Xiao

    20222 citations

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44. Semismooth Newton augmented Lagrangian algorithm for adaptive lasso penalized least squares in semiparametric regression

    Pei-Li Li, Yun-Hai Xiao, Meixia Yang, Han-Bing Zhu

    2021Annals of Mathematical Sciences and Applications2 citations

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45. On the linear convergence rate of generalized ADMM for convex composite programming

    Han Wang, Pei-Li Li, Yun-Hai Xiao

    2022Journal of Applied and Numerical Optimization1 citations Open access

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46. A Majorized-Generalized Alternating Direction Method of Multipliers for Convex Composite Programming

    Pei-Li Li, Congying Qin, Yun-Hai Xiao

    2021Asia-Pacific Journal of Operational Research1 citations

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47. Semi-proximal augmented Lagrangian method for sparse estimation of high-dimensional inverse covariance matrices

    Can Wu, Yun-Hai Xiao, Pei-Li Li

    2020Journal of Applied and Numerical Optimization1 citations Open access

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48. Applications of Spectral Gradient Algorithm for Solving Matrix ℓ2,1-Norm Minimization Problems in Machine Learning

    Yun-Hai Xiao, Qiuyu Wang, Lihong Liu

    2016PLoS ONE1 citations Open access

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49. On the Convergence of a Generalized Alternating Direction Method of Multipliers with Semi-Proximal Terms

    Yun-Hai Xiao, Liang Chen, Dong-Hui Li

    20151 citations

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50. Iterative reweighted framework based algorithms for sparse linear regression with generalized elastic-net penalty

    Yan-Yun Ding, Pei-Li Li, Yun-Hai Xiao, Zheng-Hua Yao

    2027Journal of Computational and Applied Mathematics0 citations Open access

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