Hongjin He

发表

A customized Douglas–Rachford splitting algorithm for separable convex minimization with linear constraints

Xiaoming Yuan, Hai Yang, Hongjin He, 2013, Numerische Mathematik.

An LQP-Based Two-Step Method for Structured Variational Inequalities

Deren Han, Xingju Cai, Hongjin He, 2017 .

Splitting methods for split feasibility problems with application to Dantzig selectors

Hong-Kun Xu, Hongjin He, 2017 .

On the convergence rate of scaled gradient projection method

Hongjin He, Kai Wang, Xihong Yan, 2018 .

On projected alternating BB methods for variational inequalities

Y. Liou, Hongjin He, Yunfei Qu, 2020 .

A nonnegativity preserving algorithm for multilinear systems with nonsingular ℳ ${\mathcal M}$ -tensors

Guanglu Zhou, C. Ling, Hongjin He, 2020, Numer. Algorithms.

Further study on tensor absolute value equations

L. Qi, C. Ling, Hongjin He, 2018, Science China Mathematics.

A doubly sparse and low-patch-rank prior model for image restoration

Hongjin He, Lulu Zhao, 2022, Applied Mathematical Modelling.

A Unified Bregman Alternating Minimization Algorithm for Generalized DC Programming with Applications to Image Processing

Hongjin He, Zhiyuan Zhang, 2022, 2209.07323.

"Sparse + Low-Rank'' Tensor Completion Approach for Recovering Images and Videos

C. Ling, Hongjin He, Liqun Qi, 2021, 2110.09298.

Properties of the solution set of generalized polynomial complementarity problems

C. Ling, Hongjin He, Liyun Ling, 2019, 1905.00670.

Tensor Completion via A Generalized Transformed Tensor T-Product Decomposition Without t-SVD

C. Ling, Hongjin He, Wenhui Xie, 2022, Journal of Scientific Computing.

Singular Values of Dual Quaternion Matrices and Their Low-Rank Approximations

C. Ling, Hongjin He, Liqun Qi, 2022, Numerical Functional Analysis and Optimization.

A nonmonotone spectral projected gradient method for tensor eigenvalue complementarity problems

L. Qi, C. Ling, Hongjin He, 2020, Numerical Algebra, Control & Optimization.

A Class of Second-Order Cone Eigenvalue Complementarity Problems for Higher-Order Tensors

C. Ling, Hongjin He, Jiaojiao Hou, 2016, 1603.06413.

Tensor Completion via A Generalized Transformed Tensor T-Product Decomposition Without t-SVD

C. Ling, Hongjin He, Wenhui Xie, 2022, Journal of Scientific Computing.

Transformed singular values and spectral norms of third-order tensors

C. Ling, Hongjin He, Wenhui Xie, 2022, Journal of Industrial and Management Optimization.

A customized Douglas–Rachford splitting algorithm for separable convex minimization with linear constraints

Xiaoming Yuan, Deren Han, Hongjin He, 2013, Numerische Mathematik.

A distributed Douglas-Rachford splitting method for multi-block convex minimization problems

Deren Han, Hongjin He, 2015, Advances in Computational Mathematics.

An efficient symmetric primal-dual algorithmic framework for saddle point problems

Hongjin He, Kai Wang, Jintao Yu, 2022, 2212.07587.

A primal–dual prediction–correction algorithm for saddle point optimization

Hongjin He, J. Desai, Kai Wang, 2016, Journal of Global Optimization.

A partially isochronous splitting algorithm for three-block separable convex minimization problems

Hong-Kun Xu, Hongjin He, L. Hou, 2017, Advances in Computational Mathematics.

A fast splitting method tailored for Dantzig selector

Deren Han, Xingju Cai, Hongjin He, 2015, Computational Optimization and Applications.

A Relaxed Projection Method for Split Variational Inequalities

Hong-Kun Xu, C. Ling, Hongjin He, 2014, Journal of Optimization Theory and Applications.

A unified Douglas–Rachford algorithm for generalized DC programming

Hongjin He, Chih-Sheng Chuang, Zhiyuan Zhang, 2021, Journal of Global Optimization.

A note on augmented Lagrangian-based parallel splitting method

Hongjin He, J. Desai, Kai Wang, 2014, Optimization Letters.

Improved approximation results on standard quartic polynomial optimization

C. Ling, Hongjin He, Liqun Qi, 2016, Optimization Letters.

Error analysis of approximation algorithm for standard bi-quadratic programming

L. Qi, C. Ling, Hongjin He, 2015, 1501.02871.

An efficient alternating minimization method for fourth degree polynomial optimization

Yiju Wang, Guanglu Zhou, Haibin Chen, 2021, Journal of Global Optimization.

Solving saddle point problems: a landscape of primal-dual algorithm with larger stepsizes

Hongjin He, Fan Jiang, Zhiyuan Zhang, 2022, Journal of Global Optimization.

An Implementable Splitting Algorithm for the 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{document}

Chen Ling, Hongjin He, Hong-Kun Xu, 2015, Journal of Scientific Computing.

A proximal parallel splitting method for minimizing sum of convex functions with linear constraints

Hongjin He, Deren Han, Lingling Xu, 2014, J. Comput. Appl. Math..

Integrable discretizations and numerical simulation for a modified coupled integrable dispersionless equation

Guo-Fu Yu, Ying-Nan Zhang, Hong-Qian He, 2020, Appl. Math. Comput..

A DCT-based Tensor Completion Approach for Recovering Color Images and Videos from Highly Undersampled Data pdf

Chen Ling, Hongjin He, Liqun Qi, 2021, ArXiv.

A customized low-rank prior model for structured cartoon-texture image decomposition

Hongjin He, Zhiyuan Zhang, Hongjin He, 2021, Signal Process. Image Commun..

Convergence analysis of positive-indefinite proximal ADMM with a Glowinski’s relaxation factor

Hongjin He, Yibing Lv, Yiyun Wang, 2019, Numerical Algorithms.

A proximal partially parallel splitting method for separable convex programs

Kai Wang, Hongjin He, Jitamitra Desai, 2017, Optim. Methods Softw..

Computational Optimization and Applications an International Journal a Partially Parallel Splitting Method for Multiple-block Separable Convex Programming with Applications to Robust Pca a Partially Parallel Splitting Method for Multiple-block Separable Convex Programming with Applications to Robust

Junfeng Yang, Hongjin He, L. Hou, 2022 .

A partially proximal linearized alternating minimization method for finding Dantzig selectors

Hongjin He, Hong-Kun Xu, Xiaoyu Mao, 2021, Computational and Applied Mathematics.

A partially isochronous splitting algorithm for three-block separable convex minimization problems

Hongjin He, Hong-Kun Xu, Liusheng Hou, 2018, Adv. Comput. Math..

A distributed Douglas-Rachford splitting method for multi-block convex minimization problems

Hongjin He, Deren Han, Deren Han, 2016, Adv. Comput. Math..

Higher-degree eigenvalue complementarity problems for tensors

Chen Ling, Hongjin He, Liqun Qi, 2015, Comput. Optim. Appl..

A fast splitting method tailored for Dantzig selector

Hongjin He, Deren Han, Xingju Cai, 2015, Comput. Optim. Appl..

A note on augmented Lagrangian-based parallel splitting method

Kai Wang, Hongjin He, Jitamitra Desai, 2015, Optim. Lett..

A class of nonlinear proximal point algorithms for variational inequality problems

Hongjin He, Deren Han, Xingju Cai, 2015, Int. J. Comput. Math..

A structured trust region method for nonconvex programming with separable structure

Hongjin He, Wenyu Sun, Dan Xue, 2013 .

Centers and invariant straight lines of planar real polynomial vector fields and its configurations

Hongjin He, Dongmei Xiao, Changjian Liu, 2023, 2303.14403.

Structured model selection via $\ell_1-\ell_2$ optimization

Hongjin He, Linan Zhang, Xiaofan Lu, 2023, 2305.17467.

On the cone eigenvalue complementarity problem for higher-order tensors

Chen Ling, Hongjin He, Liqun Qi, 2015, Comput. Optim. Appl..

An efficient nonnegativity preserving algorithm for multilinear systems with nonsingular M-tensors

Chen Ling, Hongjin He, Guanglu Zhou, 2018, 1811.09917.

A nonnegativity preserving algorithm for multilinear systems with nonsingular ℳ ${\mathcal M}$ -tensors

Chen Ling, Hongjin He, Guanglu Zhou, 2018, Numer. Algorithms.

Generalized tensor equations with leading structured tensors

Chen Ling, Hongjin He, Weijie Yan, 2018, Appl. Math. Comput..

A Globally and Quadratically Convergent Algorithm for Solving Multilinear Systems with $${{\mathcal {M}}}$$M-tensors

Chen Ling, Hongjin He, Liqun Qi, 2018, J. Sci. Comput..

A Globally and Quadratically Convergent Algorithm for Solving Multilinear Systems with M -tensors

Chen Ling, Hongjin He, Liqun Qi, 2017 .

Perturbation resilience and superiorization methodology of averaged mappings

Hongjin He, Hong-Kun Xu, Hong-Kun Xu, 2017 .

von Neumann type trace inequality for dual quaternion matrices

C. Ling, Hongjin He, Ting-ting Feng, 2022, 2204.09214.

An efficient symmetric primal-dual algorithmic framework for saddle point problems

Hongjin He, Kai Wang, Jintao Yu, 2022, 2212.07587.

A Double Extrapolation Primal-Dual Algorithm for Saddle Point Problems

Hongjin He, Kai Wang, Hongjin He, 2020, Journal of Scientific Computing.

A primal–dual prediction–correction algorithm for saddle point optimization

Kai Wang, Hongjin He, Jitamitra Desai, 2016, Journal of Global Optimization.

A partially parallel splitting method for multiple-block separable convex programming with applications to robust PCA

Junfeng Yang, Hongjin He, Liusheng Hou, 2015, Computational Optimization and Applications.

On error bounds of polynomial complementarity problems with structured tensors

Chen Ling, Hongjin He, Liyun Ling, 2018 .

A partially inexact generalized primal-dual hybrid gradient method for saddle point problems with bilinear couplings

Hongjin He, Kai Wang, Jintao Yu, 2023, Journal of Applied Mathematics and Computing.

A hybrid splitting method for variational inequality problems with separable structure

Hongjin He, Wenyu Sun, Deren Han, 2013, Optim. Methods Softw..

Some projection methods with the BB step sizes for variational inequalities

Hongjin He, Deren Han, Zhibao Li, 2012, J. Comput. Appl. Math..

A new Levenberg-Marquardt type algorithm for solving nonsmooth constrained equations

Chen Ling, Hongjin He, Guifeng Wang, 2014, Appl. Math. Comput..

On the properties of tensor complementarity problems

Chen Ling, Hongjin He, C. Ling, 2016, 1608.01735.

The number of limit cycles bifurcating from the period annulus of quasi-homogeneous Hamiltonian systems at any order

Hongjin He, Dongmei Xiao, Jean-Pierre Françoise, 2021, Journal of Differential Equations.

A Relaxed Projection Method for Split Variational Inequalities

Chen Ling, Hongjin He, Hong-Kun Xu, 2014, Journal of Optimization Theory and Applications.

An efficient symmetric primal-dual algorithmic framework for saddle point problems

Hongjin He, Kai Wang, Jintao Yu, 2022, 2212.07587.

A fast splitting method tailored for Dantzig selector

Deren Han, Xingju Cai, Hongjin He, 2015, Computational Optimization and Applications.

A Progressive equilibration Algorithm for General Market equilibrium Problems under Constraints

Gang Qian, Hongjin He, Deren Han, 2013, Asia Pac. J. Oper. Res..