Maolin Che
Orcid: 0000-0001-9956-062X
According to our database1,
Maolin Che
authored at least 36 papers
between 2016 and 2024.
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Bibliography
2024
A Fast Algorithm for Rank-(L, M, N) Block Term Decomposition of Multi-Dimensional Data.
J. Sci. Comput., October, 2024
Sketch-based multiplicative updating algorithms for symmetric nonnegative tensor factorizations with applications to face image clustering.
J. Glob. Optim., August, 2024
Randomized block Krylov subspace algorithms for low-rank quaternion matrix approximations.
Numer. Algorithms, June, 2024
Fixed-precision randomized quaternion singular value decomposition algorithm for low-rank quaternion matrix approximations.
Neurocomputing, 2024
Randomized algorithms for computing the tensor train approximation and their applications.
CoRR, 2024
2023
Randomized algorithms for the computation of multilinear rank-(μ <sub>1,μ</sub> <sub>2,μ</sub> <sub>3)</sub> approximations.
J. Glob. Optim., November, 2023
Solving the system of nonsingular tensor equations via randomized Kaczmarz-like method.
J. Comput. Appl. Math., 2023
CoRR, 2023
2022
Numer. Linear Algebra Appl., 2022
J. Sci. Comput., 2022
J. Optim. Theory Appl., 2022
Comput. Optim. Appl., 2022
2021
Accelerated dynamical approaches for finding the unique positive solution of <i>K</i><i>S</i>-tensor equations.
Numer. Algorithms, 2021
An Efficient Randomized Algorithm for Computing the Approximate Tucker Decomposition.
J. Sci. Comput., 2021
J. Comput. Appl. Math., 2021
2020
The Computation of Low Multilinear Rank Approximations of Tensors via Power Scheme and Random Projection.
SIAM J. Matrix Anal. Appl., 2020
Optim. Methods Softw., 2020
A Unified Self-Stabilizing Neural Network Algorithm for Principal Takagi Component Extraction.
Neural Process. Lett., 2020
Numer. Linear Algebra Appl., 2020
Global uniqueness and solvability of tensor complementarity problems for ℋ<sub>+</sub>-tensors.
Numer. Algorithms, 2020
Multiplicative Algorithms for Symmetric Nonnegative Tensor Factorizations and Its Applications.
J. Sci. Comput., 2020
J. Comput. Appl. Math., 2020
Comput. Optim. Appl., 2020
Comput. Optim. Appl., 2020
2019
Optim. Lett., 2019
Neurocomputing, 2019
Appl. Math. Lett., 2019
Randomized algorithms for the approximations of Tucker and the tensor train decompositions.
Adv. Comput. Math., 2019
2018
Partial orthogonal rank-one decomposition of complex symmetric tensors based on the Takagi factorization.
J. Comput. Appl. Math., 2018
Geometric measures of entanglement in multipartite pure states via complex-valued neural networks.
Neurocomputing, 2018
Adaptive algorithms for computing the principal Takagi vector of a complex symmetric matrix.
Neurocomputing, 2018
2017
J. Comput. Appl. Math., 2017
Neurocomputing, 2017
Neural networks for computing best rank-one approximations of tensors and its applications.
Neurocomputing, 2017
2016
J. Optim. Theory Appl., 2016
Recurrent neural network for computation of generalized eigenvalue problem with real diagonalizable matrix pair and its applications.
Neurocomputing, 2016