A new spectral conjugate gradient method for large-scale unconstrained optimization. - Jinbao Jian; Qian Chen; Xianzhen Jiang; You-Fang Zeng; Jianghua Yin (Optim. Methods Softw., 2017)

Improved Fletcher-Reeves and Dai-Yuan conjugate gradient methods with the strong Wolfe line search. - Xianzhen Jiang; Jinbao Jian (J. Comput. Appl. Math., 2019)

A New Conjugate Gradient Projection Method for Convex Constrained Nonlinear Equations. - Pengjie Liu; Jinbao Jian; Xianzhen Jiang (Complex., 2020)

An improved Polak-Ribière-Polyak conjugate gradient method with an efficient restart direction. - Xianzhen Jiang; Jinbao Jian; Dan Song; Pengjie Liu (Comput. Appl. Math., 2021)

A generalized hybrid CGPM-based algorithm for solving large-scale convex constrained equations with applications to image restoration. - Jianghua Yin; Jin-bao Jian; Xianzhen Jiang (J. Comput. Appl. Math., 2021)

A hybrid three-term conjugate gradient projection method for constrained nonlinear monotone equations with applications. - Jianghua Yin; Jinbao Jian; Xianzhen Jiang; Meixing Liu; Lingzhi Wang (Numer. Algorithms, 2021)

A new family of hybrid three-term conjugate gradient methods with applications in image restoration. - Xianzhen Jiang; Wei Liao; Jianghua Yin; Jinbao Jian (Numer. Algorithms, 2022)

A three-term conjugate gradient method with accelerated subspace quadratic optimization. - Jinbao Jian; Wenrui Chen; Xianzhen Jiang; Pengjie Liu (J. Appl. Math. Comput., 2022)

Two classes of spectral conjugate gradient methods for unconstrained optimizations. - Jinbao Jian; Pengjie Liu; Xianzhen Jiang; Chen Zhang (J. Appl. Math. Comput., 2022)

A family of inertial-relaxed DFPM-based algorithms for solving large-scale monotone nonlinear equations with application to sparse signal restoration. - Jianghua Yin; Jinbao Jian; Xianzhen Jiang; Xiaodi Wu 002 (J. Comput. Appl. Math., 2023)

A three-term conjugate gradient algorithm with restart procedure to solve image restoration problems. - Xianzhen Jiang; Huihui Yang; Jianghua Yin; Wei Liao (J. Comput. Appl. Math., 2023)

Two families of hybrid conjugate gradient methods with restart procedures and their applications. - Xianzhen Jiang; Huihui Yang; Jinbao Jian; Xiaodi Wu 002 (Optim. Methods Softw., 2023)

A family of hybrid conjugate gradient method with restart procedure for unconstrained optimizations and image restorations. - Xianzhen Jiang; Xiaomin Ye; Zefeng Huang; Meixing Liu (Comput. Oper. Res., 2023)

An accelerated relaxed-inertial strategy based CGP algorithm with restart technique for constrained nonlinear pseudo-monotone equations to image de-blurring problems. - Xianzhen Jiang; Zefeng Huang (J. Comput. Appl. Math., 2024)

A family of spectral conjugate gradient methods with strong convergence and its applications in image restoration and machine learning. - Xianzhen Jiang; Ligang Pan; Meixing Liu; Jinbao Jian (J. Frankl. Inst., 2024)

A conjugate gradient projection method with restart procedure for solving constraint equations and image restorations. - Xianzhen Jiang; Zefeng Huang; Huihui Yang (J. Appl. Math. Comput., 2024)

Convergence analysis of the largest and smallest H-eigenvalues for a class of tensor sequences. - Zhaofeng Lan; Jianxun Liu; Xianzhen Jiang (J. Appl. Math. Comput., 2024)