Computational Cognitive Modeling of Operator Behavior in Telerover Navigation. - David B. Kaber; Xuezhong Wang; Sang-Hwan Kim (SMC, 2006)

Modeling trade-off between time-optimal and minimum energy in saccade main sequence. - Xuezhong Wang; Simon M. Hsiang (Biol. Cybern., 2011)

Eye Tracking in Virtual Environments. - Xuezhong Wang; Brent Winslow (Handbook of Virtual Environments, 2nd ed., 2014)

Recurrent neural network for computation of generalized eigenvalue problem with real diagonalizable matrix pair and its applications. - Xuezhong Wang; Maolin Che; Yimin Wei 001 (Neurocomputing, 2016)

A note on the parallel GSAOR method for block diagonally dominant matrices. - Xuezhong Wang; Cui-Xia Li (J. Num. Math., 2016)

Complex Neural Network Models for Time-Varying Drazin Inverse. - Xuezhong Wang; Yimin Wei 001; Predrag S. Stanimirovic (Neural Comput., 2016)

Recurrent neural network for computing the W-weighted Drazin inverse. - Xuezhong Wang; Haifeng Ma; Predrag S. Stanimirovic (Appl. Math. Comput., 2017)

Complex-valued neural networks for the Takagi vector of complex symmetric matrices. - Xuezhong Wang; Maolin Che; Yimin Wei 001 (Neurocomputing, 2017)

Nonlinearly Activated Recurrent Neural Network for Computing the Drazin Inverse. - Xuezhong Wang; Haifeng Ma; Predrag S. Stanimirovic (Neural Process. Lett., 2017)

Complex ZFs for computing time-varying complex outer inverses. - Xuezhong Wang; Predrag S. Stanimirovic; Yimin Wei 001 (Neurocomputing, 2018)

Partial orthogonal rank-one decomposition of complex symmetric tensors based on the Takagi factorization. - Xuezhong Wang; Maolin Che; Yimin Wei 001 (J. Comput. Appl. Math., 2018)

Existence and uniqueness of positive solution for H+-tensor equations. - Xuezhong Wang; Maolin Che; Yimin Wei 001 (Appl. Math. Lett., 2019)

Z-eigenvalues based structured tensors: $$ mathcal {M}_z$$-tensors and strong $$ mathcal {M}_z$$-tensors. - Changxin Mo; Chaoqian Li; Xuezhong Wang; Yimin Wei 001 (Comput. Appl. Math., 2019)

Neural networks based approach solving multi-linear systems with M-tensors. - Xuezhong Wang; Maolin Che; Yimin Wei 001 (Neurocomputing, 2019)

Tensor neural network models for tensor singular value decompositions. - Xuezhong Wang; Maolin Che; Yimin Wei 001 (Comput. Optim. Appl., 2020)

Time-varying generalized tensor eigenanalysis via Zhang neural networks. - Changxin Mo; Xuezhong Wang; Yimin Wei 001 (Neurocomputing, 2020)

Neural network approach for solving nonsingular multi-linear tensor systems. - Xuezhong Wang; Maolin Che; Yimin Wei 001 (J. Comput. Appl. Math., 2020)

Global uniqueness and solvability of tensor complementarity problems for ℋ+-tensors. - Xuezhong Wang; Maolin Che; Yimin Wei 001 (Numer. Algorithms, 2020)

Preconditioned tensor splitting AOR iterative methods for ℋℋ ℋ -tensor equations. - Xuezhong Wang; Maolin Che; Yimin Wei 001 (Numer. Linear Algebra Appl., 2020)

A Unified Self-Stabilizing Neural Network Algorithm for Principal Takagi Component Extraction. - Maolin Che; Xuezhong Wang; Yimin Wei 001 (Neural Process. Lett., 2020)

Modified gradient dynamic approach to the tensor complementarity problem. - Xuezhong Wang; Maolin Che; Liqun Qi 001; Yimin Wei 001 (Optim. Methods Softw., 2020)

Accelerated dynamical approaches for finding the unique positive solution of KS-tensor equations. - Xuezhong Wang; Changxin Mo; Maolin Che; Yimin Wei 001 (Numer. Algorithms, 2021)

Randomized Kaczmarz methods for tensor complementarity problems. - Xuezhong Wang; Maolin Che; Yimin Wei 001 (Comput. Optim. Appl., 2022)

Predefined-time convergent neural networks for solving the time-varying nonsingular multi-linear tensor equations. - Xuezhong Wang; Changxin Mo; Sanzheng Qiao; Yimin Wei 001 (Neurocomputing, 2022)

Fast randomized tensor singular value thresholding for low-rank tensor optimization. - Maolin Che; Xuezhong Wang; Yimin Wei 001; Xile Zhao (Numer. Linear Algebra Appl., 2022)

Neural network models for time-varying tensor complementarity problems. - Ping Wei; Xuezhong Wang; Yimin Wei 001 (Neurocomputing, 2023)

Solving the system of nonsingular tensor equations via randomized Kaczmarz-like method. - Xuezhong Wang; Maolin Che; Changxin Mo; Yimin Wei 001 (J. Comput. Appl. Math., 2023)

A Fixed Point Iterative Method for Third-order Tensor Linear Complementarity Problems. - Xuezhong Wang; Ping Wei; Yimin Wei 001 (J. Optim. Theory Appl., 2023)

Two-sided randomized algorithms for approximate K-term t-SVD. - Xuezhong Wang; Shuai Hou; Kai Wang (Appl. Math. Lett., 2024)

Dynamic Approaches for Finding Least Squares Solution of Time-Varying Multi-Linear Systems. - Xuezhong Wang; Predrag S. Stanimirovic; Yimin Wei 001 (IEEE Trans Autom. Sci. Eng., 2025)

Neural networks for total least squares solution of the time-varying linear systems. - Xuezhong Wang; Jiali Shan; Yimin Wei 001 (Comput. Appl. Math., 2025)

Neural networks for solving least squares solution of polynomial systems with time-varying tensors. - Jianhua Li; Xuezhong Wang; Kai Wang; Yimin Wei 001 (J. Comput. Appl. Math., 2026)

Subspace-orbit randomized algorithms for low rank approximations of third-order tensors in t-product format. - Xuezhong Wang; Kai Wang; Changxin Mo (Pattern Recognit., 2026)