Xuezhong Wang

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 26

Top Topics

Randomized Algorithm

Top Venues

J. Comput. Appl. Math.

Numer. Algorithms

Comput. Optim. Appl.

Publications

Xuezhong Wang, Shuai Hou, Kai Wang
Two-sided randomized algorithms for approximate K-term t-SVD. Appl. Math. Lett. 157 (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)
Xuezhong Wang, Ping Wei, Yiming Wei
A Fixed Point Iterative Method for Third-order Tensor Linear Complementarity Problems. J. Optim. Theory Appl. 197 (1) (2023)
Ping Wei, Xuezhong Wang, Yiming Wei
Neural network models for time-varying tensor complementarity problems. Neurocomputing 523 (2023)
Xuezhong Wang, Maolin Che, Yimin Wei
Randomized Kaczmarz methods for tensor complementarity problems. Comput. Optim. Appl. 82 (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, Sanzheng Qiao, Yimin Wei
Predefined-time convergent neural networks for solving the time-varying nonsingular multi-linear tensor equations. Neurocomputing 472 (2022)
Xuezhong Wang, Changxin Mo, Maolin Che, Yimin Wei
-tensor equations. Numer. Algorithms 88 (4) (2021)
Xuezhong Wang, Maolin Che, Yimin Wei
Neural network approach for solving nonsingular multi-linear tensor systems. J. Comput. Appl. Math. 368 (2020)
Changxin Mo, Xuezhong Wang, Yimin Wei
Time-varying generalized tensor eigenanalysis via Zhang neural networks. Neurocomputing 407 (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)
Xuezhong Wang, Maolin Che, Yimin Wei
Tensor neural network models for tensor singular value decompositions. Comput. Optim. Appl. 75 (3) (2020)
Xuezhong Wang, Maolin Che, Yimin Wei
-tensors. Numer. Algorithms 84 (2) (2020)
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)
Changxin Mo, Chaoqian Li, Xuezhong Wang, Yimin Wei
Z-eigenvalues based structured tensors: $$\mathcal {M}_z$$-tensors and strong $$\mathcal {M}_z$$-tensors. Comput. Appl. Math. 38 (4) (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)
Xuezhong Wang, Predrag S. Stanimirovic, Yimin Wei
Complex ZFs for computing time-varying complex outer inverses. Neurocomputing 275 (2018)
Xuezhong Wang, Maolin Che, Yimin Wei
Complex-valued neural networks for the Takagi vector of complex symmetric matrices. Neurocomputing 223 (2017)
Xuezhong Wang, Haifeng Ma, Predrag S. Stanimirovic
Recurrent neural network for computing the W-weighted Drazin inverse. Appl. Math. Comput. 300 (2017)
Xuezhong Wang, Haifeng Ma, Predrag S. Stanimirovic
Nonlinearly Activated Recurrent Neural Network for Computing the Drazin Inverse. Neural Process. Lett. 46 (1) (2017)
Xuezhong Wang, Cui-Xia Li
A note on the parallel GSAOR method for block diagonally dominant matrices. J. Num. Math. 24 (1) (2016)
Xuezhong Wang, Yimin Wei, Predrag S. Stanimirovic
Complex Neural Network Models for Time-Varying Drazin Inverse. Neural Comput. 28 (12) (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)
Xuezhong Wang, Simon M. Hsiang
Modeling trade-off between time-optimal and minimum energy in saccade main sequence. Biol. Cybern. 104 (1-2) (2011)
David B. Kaber, Xuezhong Wang, Sang-Hwan Kim
Computational Cognitive Modeling of Operator Behavior in Telerover Navigation. SMC (2006)