Perturbation bounds for the generalized inverses AT, S(2) with application to constrained linear system. - Naimin Zhang; Yimin Wei 001 (Appl. Math. Comput., 2003)

Recent Developments on Convergence of Online Gradient Methods for Neural Network Training. - Wei Wu 010; Zhengxue Li; Guorui Feng; Naimin Zhang; Dong Nan; Zhiqiong Shao; Jie Yang 007; Liqing Zhang; Yuesheng Xu (ISNN (1), 2004)

Further note on constraint preconditioning for nonsymmetric indefinite matrices. - Yimin Wei 001; Naimin Zhang (Appl. Math. Comput., 2004)

A note on the representation and approximation of the outer inverse AT, S(2) of a matrix A. - Yimin Wei 001; Naimin Zhang (Appl. Math. Comput., 2004)

Solving EP singular linear systems. - Naimin Zhang; Yimin Wei 001 (Int. J. Comput. Math., 2004)

A note on solving EP inconsistent linear systems. - Naimin Zhang; Yimin Wei 001 (Appl. Math. Comput., 2005)

Deterministic Convergence of an Online Gradient Method with Momentum. - Naimin Zhang (ICIC (1), 2006)

Convergence of gradient method with momentum for two-Layer feedforward neural networks. - Naimin Zhang; Wei Wu 010; Gaofeng Zheng (IEEE Trans. Neural Networks, 2006)

Tikhonov regularization for weighted total least squares problems. - Yimin Wei 001; Naimin Zhang; Michael K. Ng 001; Wei Xu (Appl. Math. Lett., 2007)

An online gradient method with momentum for two-layer feedforward neural networks. - Naimin Zhang (Appl. Math. Comput., 2009)

On the convergence of general stationary iterative methods for range-Hermitian singular linear systems. - Naimin Zhang; Yimin Wei 001 (Numer. Linear Algebra Appl., 2010)

A note on block-diagonally preconditioned PIU methods for singular saddle point problems. - Haifeng Ma; Naimin Zhang (Int. J. Comput. Math., 2011)

Convergence of P-regular splitting iterative methods for non-Hermitian positive semidefinite linear systems. - Zhen Chao; Naimin Zhang; Pan Shen (Int. J. Comput. Math., 2013)

Constraint preconditioners for solving singular saddle point problems. - Naimin Zhang; Pan Shen (J. Comput. Appl. Math., 2013)

Semistability of Steepest Descent with Momentum for Quadratic Functions. - Naimin Zhang (Neural Comput., 2013)

A note on the generalization of parameterized inexact Uzawa method for singular saddle point problems. - Yuan Chen; Naimin Zhang (Appl. Math. Comput., 2014)

Semi-convergence analysis of GMSSOR methods for singular saddle point problems. - Lijuan Zhou; Naimin Zhang (Comput. Math. Appl., 2014)

Optimal parameters of the generalized symmetric SOR method for augmented systems. - Zhen Chao; Naimin Zhang; Yunzeng Lu (J. Comput. Appl. Math., 2014)

Semi-convergence analysis of Uzawa methods for singular saddle point problems. - Naimin Zhang; Tzon-Tzer Lu; Yimin Wei 001 (J. Comput. Appl. Math., 2014)

A generalized preconditioned HSS method for singular saddle point problems. - Zhen Chao; Naimin Zhang (Numer. Algorithms, 2014)

On parameter acceleration methods for saddle point problems. - Naimin Zhang (J. Comput. Appl. Math., 2015)

A Study on the Optimal Double Parameters for Steepest Descent with Momentum. - Naimin Zhang (Neural Comput., 2015)

On the optimal parameters of GMSSOR method for saddle point problems. - Yanhui Bi; Naimin Zhang; Lijuan Zhou (Appl. Math. Lett., 2016)

On the Practical Optimal Momentum Parameters. - Naimin Zhang (ISKE, 2019)

A novel predefined-time neurodynamic approach for mixed variational inequality problems and applications. - Jinlan Zheng; Xingxing Ju; Naimin Zhang; Dongpo Xu (Neural Networks, 2024)

An Iterative Algorithm for Quaternion Eigenvalue Problems in Signal Processing. - Qiankun Diao; Jinlan Liu; Naimin Zhang; Dongpo Xu (IEEE Signal Process. Lett., 2024)

Almost sure convergence of stochastic composite objective mirror descent for non-convex non-smooth optimization. - Yuqing Liang; Dongpo Xu; Naimin Zhang; Danilo P. Mandic (Optim. Lett., 2024)

A neurodynamic approach with fixed-time convergence for complex-variable pseudo-monotone variational inequalities. - Jinlan Zheng; Xingxing Ju; Naimin Zhang; Dongpo Xu (Neurocomputing, 2025)

DMAdam: Dual averaging enhanced adaptive gradient method for deep neural networks. - Wenhan Jiang; Jinlan Liu; Naimin Zhang; Dongpo Xu (Knowl. Based Syst., 2025)

A cooperative jamming decision-making method based on multi-agent reinforcement learning. - Bingchen Cai; Haoran Li; Naimin Zhang; Mingyu Cao; Han Yu (Auton. Intell. Syst., 2025)