Maolin Che

According to our database, Maolin Che authored at least 32 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Randomized algorithms for the computation of multilinear rank-(μ _1,μ _2,μ ₃₎ approximations.

Maolin Che, Yiming Wei, Yanwei Xu

J. Glob. Optim., November, 2023

Solving the system of nonsingular tensor equations via randomized Kaczmarz-like method.

Xuezhong Wang, Maolin Che, Changxin Mo, Yiming Wei

J. Comput. Appl. Math., 2023

Efficient algorithms for Tucker decomposition via approximate matrix multiplication.

Maolin Che, Yimin Wei, Hong Yan

CoRR, 2023

2022

Fast randomized tensor singular value thresholding for low-rank tensor optimization.

Maolin Che, Xuezhong Wang, Yiming Wei, Xile Zhao

Numer. Linear Algebra Appl., 2022

An Efficient Algorithm for Computing the Approximate t-URV and its Applications.

Maolin Che, Yiming Wei

J. Sci. Comput., 2022

Perturbations of the Tcur Decomposition for Tensor Valued Data in the Tucker Format.

Maolin Che, Juefei Chen, Yiming Wei

J. Optim. Theory Appl., 2022

Randomized Kaczmarz methods for tensor complementarity problems.

Xuezhong Wang, Maolin Che, Yiming Wei

Comput. Optim. Appl., 2022

2021

Accelerated dynamical approaches for finding the unique positive solution of <i>K</i><i>S</i>-tensor equations.

Xuezhong Wang, Changxin Mo, Maolin Che, Yiming Wei

Numer. Algorithms, 2021

An Efficient Randomized Algorithm for Computing the Approximate Tucker Decomposition.

Maolin Che, Yiming Wei, Hong Yan

J. Sci. Comput., 2021

Randomized algorithms for the low multilinear rank approximations of tensors.

Maolin Che, Yiming Wei, Hong Yan

J. Comput. Appl. Math., 2021

2020

The Computation of Low Multilinear Rank Approximations of Tensors via Power Scheme and Random Projection.

Maolin Che, Yiming Wei, Hong Yan

SIAM J. Matrix Anal. Appl., 2020

Modified gradient dynamic approach to the tensor complementarity problem.

Xuezhong Wang, Maolin Che, Liqun Qi, Yiming Wei

Optim. Methods Softw., 2020

A Unified Self-Stabilizing Neural Network Algorithm for Principal Takagi Component Extraction.

Maolin Che, Xuezhong Wang, Yiming Wei

Neural Process. Lett., 2020

Preconditioned tensor splitting AOR iterative methods for ℋℋ ℋ -tensor equations.

Xuezhong Wang, Maolin Che, Yiming Wei

Numer. Linear Algebra Appl., 2020

Global uniqueness and solvability of tensor complementarity problems for ℋ₊-tensors.

Xuezhong Wang, Maolin Che, Yiming Wei

Numer. Algorithms, 2020

Multiplicative Algorithms for Symmetric Nonnegative Tensor Factorizations and Its Applications.

Maolin Che, Yiming Wei

J. Sci. Comput., 2020

Neural network approach for solving nonsingular multi-linear tensor systems.

Xuezhong Wang, Maolin Che, Yiming Wei

J. Comput. Appl. Math., 2020

Tensor neural network models for tensor singular value decompositions.

Xuezhong Wang, Maolin Che, Yiming Wei

Comput. Optim. Appl., 2020

Stochastic structured tensors to stochastic complementarity problems.

Shouqiang Du, Maolin Che, Yiming Wei

Comput. Optim. Appl., 2020

2019

Stochastic $$R_0$$ R 0 tensors to stochastic tensor complementarity problems.

Maolin Che, Liqun Qi, Yiming Wei

Optim. Lett., 2019

Neural networks based approach solving multi-linear systems with M-tensors.

Xuezhong Wang, Maolin Che, Yiming Wei

Neurocomputing, 2019

Randomized algorithms for the low multilinear rank approximations of tensors.

Maolin Che, Yimin Wei, Hong Yan

CoRR, 2019

Existence and uniqueness of positive solution for H+-tensor equations.

Xuezhong Wang, Maolin Che, Yiming Wei

Appl. Math. Lett., 2019

Randomized algorithms for the approximations of Tucker and the tensor train decompositions.

Maolin Che, Yiming Wei

Adv. Comput. Math., 2019

2018

Partial orthogonal rank-one decomposition of complex symmetric tensors based on the Takagi factorization.

Xuezhong Wang, Maolin Che, Yiming Wei

J. Comput. Appl. Math., 2018

Geometric measures of entanglement in multipartite pure states via complex-valued neural networks.

Maolin Che, Liqun Qi, Yiming Wei, Guofeng Zhang

Neurocomputing, 2018

Adaptive algorithms for computing the principal Takagi vector of a complex symmetric matrix.

Maolin Che, Sanzheng Qiao, Yiming Wei

Neurocomputing, 2018

2017

Iterative algorithms for computing US- and U-eigenpairs of complex tensors.

Maolin Che, Liqun Qi, Yiming Wei

J. Comput. Appl. Math., 2017

Complex-valued neural networks for the Takagi vector of complex symmetric matrices.

Xuezhong Wang, Maolin Che, Yiming Wei

Neurocomputing, 2017

Neural networks for computing best rank-one approximations of tensors and its applications.

Maolin Che, Andrzej Cichocki, Yiming Wei

Neurocomputing, 2017

2016

Positive-Definite Tensors to Nonlinear Complementarity Problems.

Maolin Che, Liqun Qi, Yiming Wei

J. Optim. Theory Appl., 2016

Recurrent neural network for computation of generalized eigenvalue problem with real diagonalizable matrix pair and its applications.

Xuezhong Wang, Maolin Che, Yiming Wei

Neurocomputing, 2016