Generalized AOR methods for linear complementarity problem. - Yaotang Li; Pingfan Dai (Appl. Math. Comput., 2007)

The Diagonally Dominant Degree and Disc Separation for the Schur Complement of Ostrowski Matrix. - Jianxing Zhao; Feng Wang; Yaotang Li (J. Appl. Math., 2013)

Some new preconditioned generalized AOR methods for generalized least-squares problems. - Jianxing Zhao; Chaoqian Li; Feng Wang; Yaotang Li (Int. J. Comput. Math., 2014)

A New Upper Bound on the Infinity Norm of the Inverse of Nekrasov Matrices. - Lei Gao; Chaoqian Li; Yaotang Li (J. Appl. Math., 2014)

Criterions for the positive definiteness of real supersymmetric tensors. - Chaoqian Li; Feng Wang; Jianxing Zhao; Yan Zhu; Yaotang Li (J. Comput. Appl. Math., 2014)

New eigenvalue inclusion sets for tensors. - Chaoqian Li; Yaotang Li; Xu Kong (Numer. Linear Algebra Appl., 2014)

Deep Neural Networks with Relativity Learning for facial expression recognition. - Yanan Guo 003; Dapeng Tao; Jun Yu 002; Hao Xiong 001; Yaotang Li; Dacheng Tao (ICME Workshops, 2016)

Deep Similarity Feature Learning for Person Re-identification. - Yanan Guo 003; Dapeng Tao; Jun Yu 002; Yaotang Li (PCM (1), 2016)

Note on error bounds for linear complementarity problems for B-matrices. - Chaoqian Li; Yaotang Li (Appl. Math. Lett., 2016)

Minimal Geršgorin tensor eigenvalue inclusion set and its approximation. - Chaoqian Li; Chengyi Zhang; Yaotang Li (J. Comput. Appl. Math., 2016)

Weakly chained diagonally dominant B-matrices and error bounds for linear complementarity problems. - Chaoqian Li; Yaotang Li (Numer. Algorithms, 2016)

Improvements on the infinity norm bound for the inverse of Nekrasov matrices. - Chaoqian Li; Hui Pei; Aning Gao; Yaotang Li (Numer. Algorithms, 2016)

Person Re-Identification by Dual-Regularized KISS Metric Learning. - Dapeng Tao; Yanan Guo 003; Mingli Song; Yaotang Li; Zhengtao Yu 001; Yuan Yan Tang (IEEE Trans. Image Process., 2016)

Tensor Manifold Discriminant Projections for Acceleration-Based Human Activity Recognition. - Yanan Guo 003; Dapeng Tao; Jun Cheng 002; Alan William Dougherty; Yaotang Li; Kun Yue; Bob Zhang 001 (IEEE Trans. Multim., 2016)

New error bounds for linear complementarity problems of Nekrasov matrices and B-Nekrasov matrices. - Chaoqian Li; Pingfan Dai; Yaotang Li (Numer. Algorithms, 2017)

Programmable criteria for strong ℋ-tensors. - Yaotang Li; Qilong Liu; Liqun Qi 001 (Numer. Algorithms, 2017)

Error bounds for linear complementarity problems of S-Nekrasov matrices and B-S-Nekrasov matrices. - Lei Gao; Yaqiang Wang; Chaoqian Li; Yaotang Li (J. Comput. Appl. Math., 2018)

Tensor Rank Preserving Discriminant Analysis for Facial Recognition. - Dapeng Tao; Yanan Guo 003; Yaotang Li; Xinbo Gao 001 (IEEE Trans. Image Process., 2018)

C-eigenvalues intervals for piezoelectric-type tensors. - Chaoqian Li; Yajun Liu; Yaotang Li (Appl. Math. Comput., 2019)

M-eigenvalue inclusion intervals for a fourth-order partially symmetric tensor. - Suhua Li; Chaoqian Li; Yaotang Li (J. Comput. Appl. Math., 2019)

An iterative algorithm based on strong H-tensors for identifying positive definiteness of irreducible homogeneous polynomial forms. - Qilong Liu; Jianxing Zhao; Chaoqian Li; Yaotang Li (J. Comput. Appl. Math., 2020)

Note on error bounds for linear complementarity problems of Nekrasov matrices. - Chaoqian Li; Shaorong Yang; Hui Huang; Yaotang Li; Yimin Wei 001 (Numer. Algorithms, 2020)

Programmable sufficient conditions for the strong ellipticity of partially symmetric tensors. - Suhua Li; Yaotang Li (Appl. Math. Comput., 2021)

A Fast Tensor Completion Method Based on Tensor QR Decomposition and Tensor Nuclear Norm Minimization. - Fengsheng Wu; Yaotang Li; Chaoqian Li; Ying Wu (IEEE Trans. Computational Imaging, 2021)

Asymmetric strategy setup solve the Prisoner's Dilemma of the evolution of mutualism. - Lei Gao; Yaotang Li; Zhen Wang 004; Rui-Wu Wang (Appl. Math. Comput., 2022)

Manifold Regularization Nonnegative Triple Decomposition of Tensor Sets for Image Compression and Representation. - Fengsheng Wu; Chaoqian Li; Yaotang Li (J. Optim. Theory Appl., 2022)

Robust low-rank tensor completion via new regularized model with approximate SVD. - Fengsheng Wu; Chaoqian Li; Yaotang Li; Niansheng Tang (Inf. Sci., 2023)

Elements discriminative non-negative matrix factorization for data clustering. - Jie Li 079; Xuzhu Shen; Chaoqian Li; Yaotang Li (Eng. Appl. Artif. Intell., 2025)

Complex Representation Matrix of Third-Order Quaternion Tensors with Application to Video Inpainting. - Fengsheng Wu; Chaoqian Li; Yaotang Li; Niansheng Tang (J. Optim. Theory Appl., 2025)