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Hongjin He
Hongjin He
School of Mathematics and Statistics, Ningbo University
Verified email at nbu.edu.cn
Title
Cited by
Cited by
Year
A Globally and Quadratically Convergent Algorithm for Solving Multilinear Systems with -tensors
H He, C Ling, L Qi, G Zhou
Journal of Scientific Computing 76 (3), 1718-1741, 2018
542018
On the cone eigenvalue complementarity problem for higher-order tensors
C Ling, H He, L Qi
Computational Optimization and Applications 63, 143-168, 2016
542016
A customized Douglas–Rachford splitting algorithm for separable convex minimization with linear constraints
D Han, H He, H Yang, X Yuan
Numerische Mathematik 127, 167--200, 2014
392014
A relaxed projection method for split variational inequalities
H He, C Ling, HK Xu
Journal of Optimization Theory and Applications 166, 213-233, 2015
372015
On error bounds of polynomial complementarity problems with structured tensors
L Ling, H He, C Ling
Optimization 67 (2), 341-358, 2018
362018
A partially parallel splitting method for multiple-block separable convex programming with applications to robust PCA
L Hou, H He, J Yang
Computational Optimization and Applications 63, 273-303, 2016
322016
Higher-degree eigenvalue complementarity problems for tensors
C Ling, H He, L Qi
Computational Optimization and Applications 64, 149-176, 2016
272016
A customized low-rank prior model for structured cartoon–texture image decomposition
Z Zhang, H He
Signal Processing: Image Communication 96, 116308, 2021
262021
On the properties of tensor complementarity problems
W Yu, C Ling, H He
Pacific Journal of Optimization 14, 675--691, 2018
262018
Some projection methods with the BB step sizes for variational inequalities
H He, D Han, Z Li
Journal of Computational and Applied Mathematics 236 (9), 2590-2604, 2012
252012
An Implementable Splitting Algorithm for the ℓ 1-norm Regularized Split Feasibility Problem
H He, C Ling, HK Xu
Journal of Scientific Computing 67 (1), 281-298, 2016
242016
A distributed Douglas-Rachford splitting method for multi-block convex minimization problems
H He, D Han
Advances in Computational Mathematics 42, 27-53, 2016
242016
Perturbation resilience and superiorization methodology of averaged mappings
H He, HK Xu
Inverse Problems 33 (4), 044007, 2017
222017
Singular values of dual quaternion matrices and their low-rank approximations
C Ling, H He, L Qi
Numerical Functional Analysis and Optimization 43 (12), 1423-1458, 2022
192022
Generalized tensor equations with leading structured tensors
W Yan, C Ling, L Ling, H He
Applied Mathematics and Computation 361, 311-324, 2019
172019
A proximal parallel splitting method for minimizing sum of convex functions with linear constraints
D Han, H He, L Xu
Journal of Computational and Applied Mathematics 256, 36--51, 2014
162014
Convergence analysis of positive-indefinite proximal ADMM with a Glowinski’s relaxation factor
J Chen, Y Wang, H He, Y Lv
Numerical Algorithms 83, 1415-1440, 2020
152020
Further study on tensor absolute value equations
C Ling, W Yan, H He, L Qi
Science China Mathematics 63, 2137-2156, 2020
142020
Properties of the solution set of generalized polynomial complementarity problems
L Ling, C Ling, H He
Pacific Journal of Optimization 16, 155--174, 2020
142020
A proximal partially parallel splitting method for separable convex programs
K Wang, J Desai, H He
Optimization Methods and Software 32 (1), 39-68, 2017
142017
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