Hongjin He, Chen Ling, Liqun Qi, and Guanglu Zhou, A globally and quadratically convergent algorithm for solving multilinear systems with M-tensors, Journal of Scientific Computing, 2018，76：1718--1741.
Hongjin He, Liusheng Hou, and Hong-Kun Xu, A partially isochronous splitting algorithm for three-block separable convex minimization problems, Advances in Computational Mathematics, 2018，44：1091--1115.
Xihong Yan, Kai Wang, and Hongjin He*, On the convergence rate of scaled gradient projection method, Optimization, 2018，67：1365-1376.
Wen Yu, Chen Ling, Hongjin He*, On the properties of tensor complementarity problems, Pacific Journal of Optimization, 2018，14：675--691.
Peipei Chen, Hongjin He, Yeong-Cheng Liou, and Chi-Feng Wen, Convergence rate of the CQ algorithm for split feasibility problems, Journal of Nonlinear and Convex Analysis, 2018, 19:381--395.
Liyun Ling, Hongjin He*, and Chen Ling, On error bounds of polynomial complementarity problems with structured tensors, Optimization, 2018, 67:341—358.
Chen Ling, Hongjin He*, and Liqun Qi, Improved approximation results on standard quartic polynomial optimization, Optimization Letters, 2017, 11:1767—1782.
Hongjin He, Kai Wang, Xingju Cai, and Deren Han, An LQP-based two-step method for structured variational inequalities, Journal of the Operations Research Society of China, 2017, 5: 301—317.
Jiaojiao Hou, Chen Ling, and Hongjin He*, A class of second-order cone eigenvalue complementarity problems for higher-order tensors, Journal of the Operations Research Society of China, 2017, 5: 45—64.
Hongjin He and Hong-Kun Xu, Splitting methods for split feasibility problems with application to Dantzig selectors, Inverse Problems, 2017, 33: 055005(28pp).
Hongjin He and Hong-Kun Xu, Perturbation resilience and superiorization methodology of averaged mappings, Inverse Problems, 2017, 33:044007(11pp).
Kai Wang, Jitamitra Desai, and Hongjin He, A proximal partially-parallel splitting method for separable convex programs, Optimization Methods and Software, 2017, 32:39-68.
Hongjin He, Jitamitra Desai, and Kai Wang, A primal-dual prediction-correction algorithm for saddle point optimization, Journal of Global Optimization, 2016, 66:573—583.
Hongjin He and Deren Han, A distributed Douglas-Rachford splitting method for multi-block convex minimization problems, Advances in Computational Mathematics, 2016,42: 27--53.
Hongjin He, Chen Ling and Hong-Kun Xu, An implementable splitting algorithm for the L1-norm regularized split feasibility problem, Journal of Scientific Computing, 2016, 67: 281--298.
Chen Ling, Hongjin He, and Liqun Qi, Higher-degree eigenvalue complementarity problem for tensors, Computational Optimization and Applications,2016, 64: 149--176.
Chen Ling, Hongjin He, and Liqun Qi, On the cone eigenvalue complementarity problem for higher-order tensors, Computational Optimization and Applications, 2016, 63: 143--168.
Liusheng Hou, Hongjin He, and Junfeng Yang, A partially parallel splitting method for multiple-block separable convex programming with applications to robust PCA, Computational Optimization and Applications, 2016, 63:273--303.
Hongjin He, Xingju Cai, and Deren Han, A fast splitting method tailored for Dantzig selector, Computational Optimization and Applications, 2015, 62: 347--372.
Hongjin He, Chen Ling, and Hong-Kun Xu, A relaxed projection method for split variational inequalities, Journal of Optimization Theory and Applications, 2015, 166: 213--233.
Hongjin He, Xingju Cai, and Deren Han, A class of nonlinear proximal point algorithms for variational inequality problems, International Journal of Computer Mathematics, 2015, 92: 1385--1401.
Hongjin He and Hong-Kun Xu, A projection-based splitting method for structured variational inequality problems, Journal of Nonlinear and Convex Analysis, 2015, 16: 1539--1556.
Kai Wang, Jitamitra Desai, and Hongjin He, A note on augmented Lagrangian based parallel splitting method, Optimization Letters, 2015, 9: 1199--1212.
Deren Han, Hongjin He, Hai Yang, and Xiaoming Yuan, A customized Douglas Rachford splitting algorithm for separable convex minimization with linear constraints, Numerische Mathematik, 2014,127: 167--200.
Deren Han, Hongjin He, and Lingling Xu, A proximal parallel splitting method for minimizing sum of convex functions with linear constraints, Journal of Computational and Applied Mathematics, 2014,256:36--51.
Chen Ling, Guifeng Wang, and Hongjin He, A new Levenberg-Marquardt type algorithm for solving nonsmooth constrained equations, Applied Mathematics and Computation, 2014,229:107--122.
Hongjin He, Deren Han, Wenyu Sun, and Yannan Chen, A hybrid splitting method for variational inequality problems with separable structure, Optimization Methods and Software, 2013, 28: 725--742.
Gang Qian, Hongjin He, and Deren Han, A progressive equilibration algorithm for general market equilibrium problems under constraints, Asia-Pacific Journal of Operational Research, 2013, 30(3):1--17.
Hongjin He, Deren Han, and Zhibao Li, Some projection methods with the BB step sizes for variational inequalities, Journal of Computational and Applied Mathematics, 2012, 236(9): 2590-2604.
Gang Qian, Deren Han, and Hongjin He, Congestion control with pricing in the absence of demand and cost functions: An improved trial and error method, Journal of Industrial and Management Optimization, 2010, 6: 103-121.