The submatrix constraint problem of matrix equation AXB+CYD=E. - Jiao-Fen Li; Xi-Yan Hu; Lei Zhang 010 (Appl. Math. Comput., 2009)

Numerical solutions of AXB = C for mirrorsymmetric matrix X under a specified submatrix constraint. - Jiao-Fen Li; Xi-Yan Hu; Xue-Feng Duan; Lei Zhang 010 (Computing, 2010)

New symmetry preserving method for optimal correction of damping and stiffness matrices using measured modes. - Jiao-Fen Li; Xi-Yan Hu; Lei Zhang 010 (J. Comput. Appl. Math., 2010)

The nearness problems for symmetric centrosymmetric with a special submatrix constraint. - Jiao-Fen Li; Xi-Yan Hu; Lei Zhang 010 (Numer. Algorithms, 2010)

Dykstra's algorithm for constrained least-squares doubly symmetric matrix problems. - Jiao-Fen Li; Xi-Yan Hu; Lei Zhang 010 (Theor. Comput. Sci., 2010)

Generalized inverse problems for part symmetric matrices on a subspace in structural dynamic model updating. - Xian-xia Liu; Jiao-Fen Li; Xi-Yan Hu (Math. Comput. Model., 2011)

Numerical solutions of AXB = C for centrosymmetric matrix X under a specified submatrix constraint. - Jiao-Fen Li; Xi-Yan Hu; Lei Zhang 010 (Numer. Linear Algebra Appl., 2011)

Low rank approximation of the symmetric positive semidefinite matrix. - Xuefeng Duan; Jiao-Fen Li; Qingwen Wang 001; Xinjun Zhang (J. Comput. Appl. Math., 2014)

An efficient method for solving a matrix least squares problem over a matrix inequality constraint. - Jiao-Fen Li; Wen Li 006; Ru Huang 003 (Comput. Optim. Appl., 2016)

On the low rank solution of the Q-weighted nearest correlation matrix problem. - Xue-Feng Duan; Jianchao Bai; Jiao-Fen Li; Jing-Jing Peng (Numer. Linear Algebra Appl., 2016)

Numerical methods for solving some matrix feasibility problems. - Xue-Feng Duan; Chunmei Li; Jiao-Fen Li; Yong Ding 005 (Numer. Algorithms, 2017)

General parameterized proximal point algorithm with applications in statistical learning. - Jianchao Bai; Jicheng Li; Pingfan Dai; Jiaofen Li (Int. J. Comput. Math., 2019)

Semisupervised Discriminant Multimanifold Analysis for Action Recognition. - Zengmin Xu; Ruimin Hu; Jun Chen 001; Chen Chen 001; Junjun Jiang; Jiaofen Li; Hongyang Li (IEEE Trans. Neural Networks Learn. Syst., 2019)

A Riemannian Optimization Approach for Solving the Generalized Eigenvalue Problem for Nonsquare Matrix Pencils. - Jiao-Fen Li; Wen Li 006; Seak-Weng Vong; Qilun Luo; MingQing Xiao 001 (J. Sci. Comput., 2020)

Newton's method for the parameterized generalized eigenvalue problem with nonsquare matrix pencils. - Jiao-Fen Li; Wen Li 006; Xue-Feng Duan; Mingqing Xiao 001 (Adv. Comput. Math., 2021)

An efficient algorithm for solving the nonnegative tensor least squares problem. - Xue-Feng Duan; Shan-Qi Duan; Juan Li; Jiao-Fen Li; Qing-Wen Wang 001 (Numer. Linear Algebra Appl., 2021)

A trust-region method for the parameterized generalized eigenvalue problem with nonsquare matrix pencils. - Jiao-Fen Li; Kai Wang; Yue-yuan Liu; Xue-Feng Duan; Xue-lin Zhou (Numer. Linear Algebra Appl., 2021)

Riemannian conjugate gradient method for low-rank tensor completion. - Shan-Qi Duan; Xue-Feng Duan; Chunmei Li; Jiao-Fen Li (Adv. Comput. Math., 2023)

Riemannian Conjugate Gradient Algorithms for Solving λ $$ boldsymbol{ lambda} $$ -Approximation of Stochastic Tensors and Applications. - Dongdong Liu; Wen Li 006; Seak-Weng Vong; Jiaofen Li; Yannan Chen (Numer. Linear Algebra Appl., 2025)