Hongjin He - RankMe

49 papers Journal 49

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Robust Low-Rank Prior Model for Structured Cartoon-Texture Image Decomposition with Heavy-Tailed Noise. CoRR Weihao Tang, Hongjin He
2026	J	`jnl`	A multi-step inertial Bregman proximal DC algorithm and its application to solving some inverse problems. J. Comput. Appl. Math. Zhixue Wang, Chenjian Pan, Hongjin He
2026	J	`jnl`	Enhancing Tucker Tensor Completion via Laplace-Like Nonconvex Surrogates and Structural Regularization. J. Sci. Comput. Wenhui Xie, Lei-Hong Zhang, Chen Ling, Hongjin He
2025	J	`jnl`	A multi-step inertial extragradient algorithm for nonsmooth and nonconvex composite optimization problems. J. Glob. Optim. Zhixue Wang, Hongjin He
2025	J	`jnl`	An Implementable Proximal Extragradient Method for Structured Fractional Programming. J. Optim. Theory Appl. Jiajun Hao, Hongjin He, Liangshao Hou
2025	J	`jnl`	Practical proximal primal-dual algorithms for structured saddle point problems. J. Glob. Optim. Yunfei Qu, Hongjin He, Tao Zhang, Deren Han
2024	J	`jnl`	"Sparse + Low-Rank" tensor completion approach for recovering images and videos. Signal Process. Image Commun. Chenjian Pan, Chen Ling, Hongjin He, Liqun Qi, Yanwei Xu
2024	J	`jnl`	A Partially Inertial Customized Douglas-Rachford Splitting Method for a Class of Structured Optimization Problems. J. Sci. Comput. Yunfei Qu, Hongjin He, Deren Han
2024	J	`jnl`	A Proximal Alternating Direction Method of Multipliers for DC Programming with Structured Constraints. J. Sci. Comput. Yingxin Zhou, Hongjin He, Linan Zhang
2024	J	`jnl`	A Unified Bregman Alternating Minimization Algorithm for Generalized DC Programs with Application to Imaging. J. Sci. Comput. Hongjin He, Zhiyuan Zhang
2024	J	`jnl`	A low-rank and sparse enhanced Tucker decomposition approach for tensor completion. Appl. Math. Comput. Chenjian Pan, Chen Ling, Hongjin He, Liqun Qi, Yanwei Xu
2024	J	`jnl`	A tensor train approach for internet traffic data completion. Ann. Oper. Res. Zhiyuan Zhang, Chen Ling, Hongjin He, Liqun Qi
2024	J	`jnl`	Robust tensor recovery via a nonconvex approach with ket augmentation and auto-weighted strategy. Numer. Linear Algebra Appl. Wenhui Xie, Chen Ling, Hongjin He, Lei-Hong Zhang
2023	J	`jnl`	A partially inexact generalized primal-dual hybrid gradient method for saddle point problems with bilinear couplings. J. Appl. Math. Comput. Kai Wang, Jintao Yu, Hongjin He
2023	J	`jnl`	Solving saddle point problems: a landscape of primal-dual algorithm with larger stepsizes. J. Glob. Optim. Fan Jiang, Zhiyuan Zhang, Hongjin He
2022	J	`jnl`	A unified Douglas-Rachford algorithm for generalized DC programming. J. Glob. Optim. Chih-Sheng Chuang, Hongjin He, Zhiyuan Zhang
2022	J	`jnl`	An efficient alternating minimization method for fourth degree polynomial optimization. J. Glob. Optim. Haibin Chen, Hongjin He, Yiju Wang, Guanglu Zhou
2022	J	`jnl`	Tensor Completion via A Generalized Transformed Tensor T-Product Decomposition Without t-SVD. J. Sci. Comput. Hongjin He, Chen Ling, Wenhui Xie
2021	J	`jnl`	A DCT-based Tensor Completion Approach for Recovering Color Images and Videos from Highly Undersampled Data. CoRR Chenjian Pan, Chen Ling, Hongjin He, Liqun Qi, Yanwei Xu
2021	J	`jnl`	A customized low-rank prior model for structured cartoon-texture image decomposition. Signal Process. Image Commun. Zhiyuan Zhang, Hongjin He
2021	J	`jnl`	A nonnegativity preserving algorithm for multilinear systems with nonsingular M-tensors. Numer. Algorithms Xueli Bai, Hongjin He, Chen Ling, Guanglu Zhou
2021	J	`jnl`	A partially proximal linearized alternating minimization method for finding Dantzig selectors. Comput. Appl. Math. Xiaoyu Mao, Hongjin He, Hong-Kun Xu
2021	J	`jnl`	An index detecting algorithm for a class of TCP(A, q) equipped with nonsingular M-tensors. J. Comput. Appl. Math. Hongjin He, Xueli Bai, Chen Ling, Guanglu Zhou
2020	J	`jnl`	A Double Extrapolation Primal-Dual Algorithm for Saddle Point Problems. J. Sci. Comput. Kai Wang, Hongjin He
2020	J	`jnl`	Convergence analysis of positive-indefinite proximal ADMM with a Glowinski's relaxation factor. Numer. Algorithms Jiawei Chen, Yiyun Wang, Hongjin He, Yibing Lv
2020	J	`jnl`	Generalized Tensor Complementarity Problems Over a Polyhedral Cone. Asia Pac. J. Oper. Res. Liyun Ling, Chen Ling, Hongjin He
2020	J	`jnl`	Low-Rank and Sparse Enhanced Tucker Decomposition for Tensor Completion. CoRR Chenjian Pan, Chen Ling, Hongjin He, Liqun Qi, Yanwei Xu
2019	J	`jnl`	Generalized tensor equations with leading structured tensors. Appl. Math. Comput. Weijie Yan, Chen Ling, Liyun Ling, Hongjin He
2018	J	`jnl`	A Globally and Quadratically Convergent Algorithm for Solving Multilinear Systems with ℳ-tensors. J. Sci. Comput. Hongjin He, Chen Ling, Liqun Qi, Guanglu Zhou
2018	J	`jnl`	A partially isochronous splitting algorithm for three-block separable convex minimization problems. Adv. Comput. Math. Hongjin He, Liusheng Hou, Hong-Kun Xu
2018	J	`jnl`	Correction to: A partially isochronous splitting algorithm for three-block separable convex minimization problems. Adv. Comput. Math. Hongjin He, Liusheng Hou, Hong-Kun Xu
2017	J	`jnl`	A proximal partially parallel splitting method for separable convex programs. Optim. Methods Softw. Kai Wang, Jitamitra Desai, Hongjin He
2017	J	`jnl`	Improved approximation results on standard quartic polynomial optimization. Optim. Lett. Chen Ling, Hongjin He, Liqun Qi
2016	J	`jnl`	A distributed Douglas-Rachford splitting method for multi-block convex minimization problems. Adv. Comput. Math. Hongjin He, Deren Han
2016	J	`jnl`	A partially parallel splitting method for multiple-block separable convex programming with applications to robust PCA. Comput. Optim. Appl. Liusheng Hou, Hongjin He, Junfeng Yang
2016	J	`jnl`	A primal-dual prediction-correction algorithm for saddle point optimization. J. Glob. Optim. Hongjin He, Jitamitra Desai, Kai Wang
2016	J	`jnl`	An Implementable Splitting Algorithm for the ℓ J. Sci. Comput. Hongjin He, Chen Ling, Hong-Kun Xu
2016	J	`jnl`	Higher-degree eigenvalue complementarity problems for tensors. Comput. Optim. Appl. Chen Ling, Hongjin He, Liqun Qi
2016	J	`jnl`	On the cone eigenvalue complementarity problem for higher-order tensors. Comput. Optim. Appl. Chen Ling, Hongjin He, Liqun Qi
2015	J	`jnl`	A Relaxed Projection Method for Split Variational Inequalities. J. Optim. Theory Appl. Hongjin He, Chen Ling, Hong-Kun Xu
2015	J	`jnl`	A class of nonlinear proximal point algorithms for variational inequality problems. Int. J. Comput. Math. Hongjin He, Xingju Cai, Deren Han
2015	J	`jnl`	A fast splitting method tailored for Dantzig selector. Comput. Optim. Appl. Hongjin He, Xingju Cai, Deren Han
2015	J	`jnl`	A note on augmented Lagrangian-based parallel splitting method. Optim. Lett. Kai Wang, Jitamitra Desai, Hongjin He
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`	A new Levenberg-Marquardt type algorithm for solving nonsmooth constrained equations. Appl. Math. Comput. Chen Ling, Guifeng Wang, Hongjin He
2014	J	`jnl`	A proximal parallel splitting method for minimizing sum of convex functions with linear constraints. J. Comput. Appl. Math. Deren Han, Hongjin He, Lingling Xu
2013	J	`jnl`	A Progressive equilibration Algorithm for General Market equilibrium Problems under Constraints. Asia Pac. J. Oper. Res. Gang Qian, Hongjin He, Deren Han
2013	J	`jnl`	A hybrid splitting method for variational inequality problems with separable structure. Optim. Methods Softw. Hongjin He, Deren Han, Wenyu Sun, Yannan Chen
2012	J	`jnl`	Some projection methods with the BB step sizes for variational inequalities. J. Comput. Appl. Math. Hongjin He, Deren Han, Zhibao Li