Maolin Che

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 36

Top Topics

Randomized Algorithm

Singular Value Decomposition

Complementarity Problems

Top Venues

J. Comput. Appl. Math.

Numer. Algorithms

Publications

Chaoqian Li, Yonghe Liu, Fengsheng Wu, Maolin Che
Randomized block Krylov subspace algorithms for low-rank quaternion matrix approximations. Numer. Algorithms 96 (2) (2024)
Maolin Che, Yimin Wei, Hong Yan
Randomized algorithms for computing the tensor train approximation and their applications. CoRR (2024)
Yonghe Liu, Fengsheng Wu, Maolin Che, Chaoqian Li
Fixed-precision randomized quaternion singular value decomposition algorithm for low-rank quaternion matrix approximations. Neurocomputing 580 (2024)
Maolin Che, Yimin Wei, Hong Yan
Sketch-based multiplicative updating algorithms for symmetric nonnegative tensor factorizations with applications to face image clustering. J. Glob. Optim. 89 (4) (2024)
Xuezhong Wang, Maolin Che, Changxin Mo, Yimin Wei
Solving the system of nonsingular tensor equations via randomized Kaczmarz-like method. J. Comput. Appl. Math. 421 (2023)
Maolin Che, Yimin Wei, Hong Yan
Efficient algorithms for Tucker decomposition via approximate matrix multiplication. CoRR (2023)
Maolin Che, Yiming Wei, Yanwei Xu
approximations. J. Glob. Optim. 87 (2) (2023)
Xuezhong Wang, Maolin Che, Yimin Wei
Randomized Kaczmarz methods for tensor complementarity problems. Comput. Optim. Appl. 82 (3) (2022)
Maolin Che, Yimin Wei
An Efficient Algorithm for Computing the Approximate t-URV and its Applications. J. Sci. Comput. 92 (3) (2022)
Maolin Che, Juefei Chen, Yimin Wei
Perturbations of the Tcur Decomposition for Tensor Valued Data in the Tucker Format. J. Optim. Theory Appl. 194 (3) (2022)
Maolin Che, Xuezhong Wang, Yiming Wei, Xile Zhao
Fast randomized tensor singular value thresholding for low-rank tensor optimization. Numer. Linear Algebra Appl. 29 (6) (2022)
Xuezhong Wang, Changxin Mo, Maolin Che, Yimin Wei
-tensor equations. Numer. Algorithms 88 (4) (2021)
Maolin Che, Yimin Wei, Hong Yan
Randomized algorithms for the low multilinear rank approximations of tensors. J. Comput. Appl. Math. 390 (2021)
Maolin Che, Yimin Wei, Hong Yan
An Efficient Randomized Algorithm for Computing the Approximate Tucker Decomposition. J. Sci. Comput. 88 (1) (2021)
Xuezhong Wang, Maolin Che, Yimin Wei
Neural network approach for solving nonsingular multi-linear tensor systems. J. Comput. Appl. Math. 368 (2020)
Maolin Che, Yimin Wei
Multiplicative Algorithms for Symmetric Nonnegative Tensor Factorizations and Its Applications. J. Sci. Comput. 83 (3) (2020)
Maolin Che, Xuezhong Wang, Yimin Wei
A Unified Self-Stabilizing Neural Network Algorithm for Principal Takagi Component Extraction. Neural Process. Lett. 51 (1) (2020)
Xuezhong Wang, Maolin Che, Liqun Qi, Yimin Wei
Modified gradient dynamic approach to the tensor complementarity problem. Optim. Methods Softw. 35 (2) (2020)
Xuezhong Wang, Maolin Che, Yimin Wei
Preconditioned tensor splitting AOR iterative methods for ℋℋ ℋ -tensor equations. Numer. Linear Algebra Appl. 27 (6) (2020)
Maolin Che, Yimin Wei, Hong Yan
The Computation of Low Multilinear Rank Approximations of Tensors via Power Scheme and Random Projection. SIAM J. Matrix Anal. Appl. 41 (2) (2020)
Xuezhong Wang, Maolin Che, Yimin Wei
Tensor neural network models for tensor singular value decompositions. Comput. Optim. Appl. 75 (3) (2020)
Shouqiang Du, Maolin Che, Yimin Wei
Stochastic structured tensors to stochastic complementarity problems. Comput. Optim. Appl. 75 (3) (2020)
Xuezhong Wang, Maolin Che, Yimin Wei
-tensors. Numer. Algorithms 84 (2) (2020)
Maolin Che, Liqun Qi, Yimin Wei
Stochastic $$R_0$$ R 0 tensors to stochastic tensor complementarity problems. Optim. Lett. 13 (2) (2019)
Maolin Che, Yimin Wei, Hong Yan
Randomized algorithms for the low multilinear rank approximations of tensors. CoRR (2019)
Xuezhong Wang, Maolin Che, Yimin Wei
Neural networks based approach solving multi-linear systems with M-tensors. Neurocomputing 351 (2019)
Xuezhong Wang, Maolin Che, Yimin Wei
Existence and uniqueness of positive solution for H+-tensor equations. Appl. Math. Lett. 98 (2019)
Maolin Che, Yimin Wei
Randomized algorithms for the approximations of Tucker and the tensor train decompositions. Adv. Comput. Math. 45 (1) (2019)
Xuezhong Wang, Maolin Che, Yimin Wei
Partial orthogonal rank-one decomposition of complex symmetric tensors based on the Takagi factorization. J. Comput. Appl. Math. 332 (2018)
Maolin Che, Liqun Qi, Yimin Wei, Guofeng Zhang
Geometric measures of entanglement in multipartite pure states via complex-valued neural networks. Neurocomputing 313 (2018)
Maolin Che, Sanzheng Qiao, Yimin Wei
Adaptive algorithms for computing the principal Takagi vector of a complex symmetric matrix. Neurocomputing 317 (2018)
Maolin Che, Liqun Qi, Yimin Wei
Iterative algorithms for computing US- and U-eigenpairs of complex tensors. J. Comput. Appl. Math. 317 (2017)
Maolin Che, Andrzej Cichocki, Yimin Wei
Neural networks for computing best rank-one approximations of tensors and its applications. Neurocomputing 267 (2017)
Xuezhong Wang, Maolin Che, Yimin Wei
Complex-valued neural networks for the Takagi vector of complex symmetric matrices. Neurocomputing 223 (2017)
Maolin Che, Liqun Qi, Yimin Wei
Positive-Definite Tensors to Nonlinear Complementarity Problems. J. Optim. Theory Appl. 168 (2) (2016)
Xuezhong Wang, Maolin Che, Yimin Wei
Recurrent neural network for computation of generalized eigenvalue problem with real diagonalizable matrix pair and its applications. Neurocomputing 216 (2016)