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2020 – today
- 2024
[j27]Xuezhong Wang, Shuai Hou, Kai Wang:
Two-sided randomized algorithms for approximate K-term t-SVD. Appl. Math. Lett. 157: 109198 (2024)- 2023
- [j26]Ping Wei, Xuezhong Wang, Yimin Wei:
Neural network models for time-varying tensor complementarity problems. Neurocomputing 523: 18-32 (2023) - [j25]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: 114856 (2023) - [j24]Xuezhong Wang, Ping Wei, Yimin Wei:
A Fixed Point Iterative Method for Third-order Tensor Linear Complementarity Problems. J. Optim. Theory Appl. 197(1): 334-357 (2023) - 2022
- [j23]Xuezhong Wang, Maolin Che, Yimin Wei:
Randomized Kaczmarz methods for tensor complementarity problems. Comput. Optim. Appl. 82(3): 595-615 (2022) - [j22]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: 68-84 (2022) - [j21]Maolin Che, Xuezhong Wang, Yimin Wei, Xile Zhao:
Fast randomized tensor singular value thresholding for low-rank tensor optimization. Numer. Linear Algebra Appl. 29(6) (2022) - 2021
- [j20]Xuezhong Wang, Changxin Mo, Maolin Che, Yimin Wei:
Accelerated dynamical approaches for finding the unique positive solution of KS-tensor equations. Numer. Algorithms 88(4): 1787-1810 (2021) - 2020
- [j19]Xuezhong Wang, Maolin Che, Yimin Wei:
Tensor neural network models for tensor singular value decompositions. Comput. Optim. Appl. 75(3): 753-777 (2020) - [j18]Changxin Mo, Xuezhong Wang, Yimin Wei:
Time-varying generalized tensor eigenanalysis via Zhang neural networks. Neurocomputing 407: 465-479 (2020) - [j17]Xuezhong Wang, Maolin Che, Yimin Wei:
Neural network approach for solving nonsingular multi-linear tensor systems. J. Comput. Appl. Math. 368 (2020) - [j16]Xuezhong Wang, Maolin Che, Yimin Wei:
Global uniqueness and solvability of tensor complementarity problems for ℋ+-tensors. Numer. Algorithms 84(2): 567-590 (2020) - [j15]Xuezhong Wang, Maolin Che, Yimin Wei:
Preconditioned tensor splitting AOR iterative methods for ℋℋ ℋ -tensor equations. Numer. Linear Algebra Appl. 27(6) (2020) - [j14]Maolin Che, Xuezhong Wang, Yimin Wei:
A Unified Self-Stabilizing Neural Network Algorithm for Principal Takagi Component Extraction. Neural Process. Lett. 51(1): 591-610 (2020) - [j13]Xuezhong Wang, Maolin Che, Liqun Qi, Yimin Wei:
Modified gradient dynamic approach to the tensor complementarity problem. Optim. Methods Softw. 35(2): 394-415 (2020)
2010 – 2019
- 2019
- [j12]Xuezhong Wang, Maolin Che, Yimin Wei:
Existence and uniqueness of positive solution for H+-tensor equations. Appl. Math. Lett. 98: 191-198 (2019) - [j11]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) - [j10]Xuezhong Wang, Maolin Che, Yimin Wei:
Neural networks based approach solving multi-linear systems with M-tensors. Neurocomputing 351: 33-42 (2019) - 2018
- [j9]Xuezhong Wang, Predrag S. Stanimirovic, Yimin Wei:
Complex ZFs for computing time-varying complex outer inverses. Neurocomputing 275: 983-1001 (2018) - [j8]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: 56-71 (2018) - 2017
- [j7]Xuezhong Wang, Haifeng Ma, Predrag S. Stanimirovic:
Recurrent neural network for computing the W-weighted Drazin inverse. Appl. Math. Comput. 300: 1-20 (2017) - [j6]Xuezhong Wang, Maolin Che, Yimin Wei:
Complex-valued neural networks for the Takagi vector of complex symmetric matrices. Neurocomputing 223: 77-85 (2017) - [j5]Xuezhong Wang, Haifeng Ma, Predrag S. Stanimirovic:
Nonlinearly Activated Recurrent Neural Network for Computing the Drazin Inverse. Neural Process. Lett. 46(1): 195-217 (2017) - 2016
- [j4]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: 230-241 (2016) - [j3]Xuezhong Wang, Cui-Xia Li:
A note on the parallel GSAOR method for block diagonally dominant matrices. J. Num. Math. 24(1): 35-44 (2016) - [j2]Xuezhong Wang, Yimin Wei, Predrag S. Stanimirovic:
Complex Neural Network Models for Time-Varying Drazin Inverse. Neural Comput. 28(12): 2790-2824 (2016) - 2014
- [r1]Xuezhong Wang, Brent Winslow:
Eye Tracking in Virtual Environments. Handbook of Virtual Environments, 2nd ed. 2014: 197-210 - 2011
- [j1]Xuezhong Wang, Simon M. Hsiang:
Modeling trade-off between time-optimal and minimum energy in saccade main sequence. Biol. Cybern. 104(1-2): 65-73 (2011)
2000 – 2009
- 2006
- [c1]David B. Kaber, Xuezhong Wang, Sang-Hwan Kim:
Computational Cognitive Modeling of Operator Behavior in Telerover Navigation. SMC 2006: 3210-3215
Coauthor Index
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