Xuezhong Wang

According to our database1, Xuezhong Wang authored at least 29 papers between 2006 and 2024.

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Bibliography

2024
Two-sided randomized algorithms for approximate K-term t-SVD.
Appl. Math. Lett., 2024

2023
A Fixed Point Iterative Method for Third-order Tensor Linear Complementarity Problems.
J. Optim. Theory Appl., April, 2023

Solving the system of nonsingular tensor equations via randomized Kaczmarz-like method.
J. Comput. Appl. Math., 2023

Neural network models for time-varying tensor complementarity problems.
Neurocomputing, 2023

2022
Fast randomized tensor singular value thresholding for low-rank tensor optimization.
Numer. Linear Algebra Appl., 2022

Predefined-time convergent neural networks for solving the time-varying nonsingular multi-linear tensor equations.
Neurocomputing, 2022

Randomized Kaczmarz methods for tensor complementarity problems.
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

2020
Modified gradient dynamic approach to the tensor complementarity problem.
Optim. Methods Softw., 2020

A Unified Self-Stabilizing Neural Network Algorithm for Principal Takagi Component Extraction.
Neural Process. Lett., 2020

Preconditioned tensor splitting AOR iterative methods for ℋℋ ℋ -tensor equations.
Numer. Linear Algebra Appl., 2020

Global uniqueness and solvability of tensor complementarity problems for ℋ<sub>+</sub>-tensors.
Numer. Algorithms, 2020

Neural network approach for solving nonsingular multi-linear tensor systems.
J. Comput. Appl. Math., 2020

Time-varying generalized tensor eigenanalysis via Zhang neural networks.
Neurocomputing, 2020

Tensor neural network models for tensor singular value decompositions.
Comput. Optim. Appl., 2020

2019
Neural networks based approach solving multi-linear systems with M-tensors.
Neurocomputing, 2019

Z-eigenvalues based structured tensors: $$\mathcal {M}_z$$-tensors and strong $$\mathcal {M}_z$$-tensors.
Comput. Appl. Math., 2019

Existence and uniqueness of positive solution for H+-tensor equations.
Appl. Math. Lett., 2019

2018
Partial orthogonal rank-one decomposition of complex symmetric tensors based on the Takagi factorization.
J. Comput. Appl. Math., 2018

Complex ZFs for computing time-varying complex outer inverses.
Neurocomputing, 2018

2017
Nonlinearly Activated Recurrent Neural Network for Computing the Drazin Inverse.
Neural Process. Lett., 2017

Complex-valued neural networks for the Takagi vector of complex symmetric matrices.
Neurocomputing, 2017

Recurrent neural network for computing the W-weighted Drazin inverse.
Appl. Math. Comput., 2017

2016
Complex Neural Network Models for Time-Varying Drazin Inverse.
Neural Comput., 2016

A note on the parallel GSAOR method for block diagonally dominant matrices.
J. Num. Math., 2016

Recurrent neural network for computation of generalized eigenvalue problem with real diagonalizable matrix pair and its applications.
Neurocomputing, 2016

2014
Eye Tracking in Virtual Environments.
Proceedings of the Handbook of Virtual Environments, 2014

2011
Modeling trade-off between time-optimal and minimum energy in saccade main sequence.
Biol. Cybern., 2011

2006
Computational Cognitive Modeling of Operator Behavior in Telerover Navigation.
Proceedings of the IEEE International Conference on Systems, 2006


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