Recurrent neural network for computation of generalized eigenvalue problem with real diagonalizable matrix pair and its applications. - Xuezhong Wang; Maolin Che; Yimin Wei 001 (Neurocomputing, 2016)

Positive-Definite Tensors to Nonlinear Complementarity Problems. - Maolin Che; Liqun Qi 001; Yimin Wei 001 (J. Optim. Theory Appl., 2016)

Neural networks for computing best rank-one approximations of tensors and its applications. - Maolin Che; Andrzej Cichocki; Yimin Wei 001 (Neurocomputing, 2017)

Complex-valued neural networks for the Takagi vector of complex symmetric matrices. - Xuezhong Wang; Maolin Che; Yimin Wei 001 (Neurocomputing, 2017)

Iterative algorithms for computing US- and U-eigenpairs of complex tensors. - Maolin Che; Liqun Qi 001; Yimin Wei 001 (J. Comput. Appl. Math., 2017)

Adaptive algorithms for computing the principal Takagi vector of a complex symmetric matrix. - Maolin Che; Sanzheng Qiao; Yimin Wei 001 (Neurocomputing, 2018)

Geometric measures of entanglement in multipartite pure states via complex-valued neural networks. - Maolin Che; Liqun Qi 001; Yimin Wei 001; Guofeng Zhang 003 (Neurocomputing, 2018)

Partial orthogonal rank-one decomposition of complex symmetric tensors based on the Takagi factorization. - Xuezhong Wang; Maolin Che; Yimin Wei 001 (J. Comput. Appl. Math., 2018)

Randomized algorithms for the approximations of Tucker and the tensor train decompositions. - Maolin Che; Yimin Wei 001 (Adv. Comput. Math., 2019)

Existence and uniqueness of positive solution for H+-tensor equations. - Xuezhong Wang; Maolin Che; Yimin Wei 001 (Appl. Math. Lett., 2019)

Neural networks based approach solving multi-linear systems with M-tensors. - Xuezhong Wang; Maolin Che; Yimin Wei 001 (Neurocomputing, 2019)

Stochastic $$R_0$$ R 0 tensors to stochastic tensor complementarity problems. - Maolin Che; Liqun Qi 001; Yimin Wei 001 (Optim. Lett., 2019)

Stochastic structured tensors to stochastic complementarity problems. - Shouqiang Du; Maolin Che; Yimin Wei 001 (Comput. Optim. Appl., 2020)

Tensor neural network models for tensor singular value decompositions. - Xuezhong Wang; Maolin Che; Yimin Wei 001 (Comput. Optim. Appl., 2020)

Neural network approach for solving nonsingular multi-linear tensor systems. - Xuezhong Wang; Maolin Che; Yimin Wei 001 (J. Comput. Appl. Math., 2020)

Multiplicative Algorithms for Symmetric Nonnegative Tensor Factorizations and Its Applications. - Maolin Che; Yimin Wei 001 (J. Sci. Comput., 2020)

Global uniqueness and solvability of tensor complementarity problems for ℋ+-tensors. - Xuezhong Wang; Maolin Che; Yimin Wei 001 (Numer. Algorithms, 2020)

Preconditioned tensor splitting AOR iterative methods for ℋℋ ℋ -tensor equations. - Xuezhong Wang; Maolin Che; Yimin Wei 001 (Numer. Linear Algebra Appl., 2020)

A Unified Self-Stabilizing Neural Network Algorithm for Principal Takagi Component Extraction. - Maolin Che; Xuezhong Wang; Yimin Wei 001 (Neural Process. Lett., 2020)

Modified gradient dynamic approach to the tensor complementarity problem. - Xuezhong Wang; Maolin Che; Liqun Qi 001; Yimin Wei 001 (Optim. Methods Softw., 2020)

The Computation of Low Multilinear Rank Approximations of Tensors via Power Scheme and Random Projection. - Maolin Che; Yimin Wei 001; Hong Yan 001 (SIAM J. Matrix Anal. Appl., 2020)

Randomized algorithms for the low multilinear rank approximations of tensors. - Maolin Che; Yimin Wei 001; Hong Yan 001 (J. Comput. Appl. Math., 2021)

An Efficient Randomized Algorithm for Computing the Approximate Tucker Decomposition. - Maolin Che; Yimin Wei 001; Hong Yan 001 (J. Sci. Comput., 2021)

Accelerated dynamical approaches for finding the unique positive solution of KS-tensor equations. - Xuezhong Wang; Changxin Mo; Maolin Che; Yimin Wei 001 (Numer. Algorithms, 2021)

Randomized Kaczmarz methods for tensor complementarity problems. - Xuezhong Wang; Maolin Che; Yimin Wei 001 (Comput. Optim. Appl., 2022)

Perturbations of the Tcur Decomposition for Tensor Valued Data in the Tucker Format. - Maolin Che; Juefei Chen; Yimin Wei 001 (J. Optim. Theory Appl., 2022)

An Efficient Algorithm for Computing the Approximate t-URV and its Applications. - Maolin Che; Yimin Wei 001 (J. Sci. Comput., 2022)

Fast randomized tensor singular value thresholding for low-rank tensor optimization. - Maolin Che; Xuezhong Wang; Yimin Wei 001; Xile Zhao (Numer. Linear Algebra Appl., 2022)

Solving the system of nonsingular tensor equations via randomized Kaczmarz-like method. - Xuezhong Wang; Maolin Che; Changxin Mo; Yimin Wei 001 (J. Comput. Appl. Math., 2023)

Randomized algorithms for the computation of multilinear rank-(μ 1,μ 2,μ 3) approximations. - Maolin Che; Yimin Wei 001; Yanwei Xu (J. Glob. Optim., 2023)

Randomized algorithms for computing the tensor train approximation and their applications. - Maolin Che; Yimin Wei 001; Hong Yan 001 (CoRR, 2024)

Fixed-precision randomized quaternion singular value decomposition algorithm for low-rank quaternion matrix approximations. - Yonghe Liu; Fengsheng Wu; Maolin Che; Chaoqian Li (Neurocomputing, 2024)

Randomized block Krylov subspace algorithms for low-rank quaternion matrix approximations. - Chaoqian Li; Yonghe Liu; Fengsheng Wu; Maolin Che (Numer. Algorithms, 2024)

Sketch-based multiplicative updating algorithms for symmetric nonnegative tensor factorizations with applications to face image clustering. - Maolin Che; Yimin Wei 001; Hong Yan 001 (J. Glob. Optim., 2024)

A Fast Algorithm for Rank-(L, M, N) Block Term Decomposition of Multi-Dimensional Data. - Hao Zhang 103; Ting-Zhu Huang; Xi-Le Zhao; Maolin Che (J. Sci. Comput., 2024)

Gradient neural network models for approximate Tucker decomposition of time-dependent tensors. - Maolin Che; Yimin Wei 001; Hong Yan 001 (Neurocomputing, 2025)

Efficient Randomized Algorithms for Fixed Precision Problem of Approximate Tucker Decomposition. - Maolin Che; Yimin Wei 001; Hong Yan 001 (SIAM J. Matrix Anal. Appl., 2025)

Effective algorithms for tensor train decomposition via the UTV framework. - Yuchao Wang; Maolin Che; Yimin Wei 001 (CoRR, 2025)

Efficient algorithms for Tucker decomposition via approximate matrix multiplication. - Maolin Che; Yimin Wei 001; Hong Yan 001 (Adv. Comput. Math., 2025)

Efficient randomized algorithms for the fixed Tucker-rank problem of Tucker decomposition with adaptive shifts. - Maolin Che; Yimin Wei 001; Chong Wu; Hong Yan 001 (CoRR, 2025)

sparseGeoHOPCA: A Geometric Solution to Sparse Higher-Order PCA Without Covariance Estimation. - Renjie Xu; Chong Wu; Maolin Che; Zhuoheng Ran; Yimin Wei 001; Hong Yan 001 (CoRR, 2025)