| Positive-definite tensors to nonlinear complementarity problems M Che, L Qi, Y Wei Journal of Optimization Theory and Applications 168, 475-487, 2016 | 164 | 2016 |
| Randomized algorithms for the approximations of Tucker and the tensor train decompositions M Che, Y Wei Advances in Computational Mathematics 45 (1), 395-428, 2019 | 136 | 2019 |
| Neural networks based approach solving multi-linear systems with M-tensors X Wang, M Che, Y Wei Neurocomputing 351, 33-42, 2019 | 70 | 2019 |
| Theory and computation of complex tensors and its applications M Che, Y Wei Springer Singapore, 2020 | 55 | 2020 |
| Tensor neural network models for tensor singular value decompositions X Wang, M Che, Y Wei Computational optimization and applications 75, 753-777, 2020 | 55 | 2020 |
| Neural networks for computing best rank-one approximations of tensors and its applications M Che, A Cichocki, Y Wei Neurocomputing 267, 114-133, 2017 | 55 | 2017 |
| Neural network approach for solving nonsingular multi-linear tensor systems X Wang, M Che, Y Wei Journal of Computational and Applied Mathematics 368, 112569, 2020 | 44 | 2020 |
| The computation of low multilinear rank approximations of tensors via power scheme and random projection M Che, Y Wei, H Yan SIAM Journal on Matrix Analysis and Applications 41 (2), 605-636, 2020 | 43 | 2020 |
| Randomized algorithms for the low multilinear rank approximations of tensors M Che, Y Wei, H Yan Journal of Computational and Applied Mathematics 390, 113380, 2021 | 37 | 2021 |
| Stochastic tensors to stochastic tensor complementarity problems M Che, L Qi, Y Wei Optimization Letters 13 (2), 261-279, 2019 | 36 | 2019 |
| Modified gradient dynamic approach to the tensor complementarity problem X Wang, M Che, L Qi, Y Wei Optimization Methods and Software 35 (2), 394-415, 2020 | 34 | 2020 |
| Solving the system of nonsingular tensor equations via randomized Kaczmarz-like method X Wang, M Che, C Mo, Y Wei Journal of Computational and Applied Mathematics 421, 114856, 2023 | 28 | 2023 |
| An efficient randomized algorithm for computing the approximate Tucker decomposition M Che, Y Wei, H Yan Journal of Scientific Computing 88 (2), 32, 2021 | 27 | 2021 |
| Existence and uniqueness of positive solution for H+-tensor equations X Wang, M Che, Y Wei Applied Mathematics Letters 98, 191-198, 2019 | 27 | 2019 |
| An efficient algorithm for computing the approximate t-URV and its applications M Che, Y Wei Journal of Scientific Computing 92 (3), 93, 2022 | 26 | 2022 |
| Randomized Kaczmarz methods for tensor complementarity problems X Wang, M Che, Y Wei Computational Optimization and Applications 82 (3), 595-615, 2022 | 26 | 2022 |
| Global uniqueness and solvability of tensor complementarity problems for -tensors X Wang, M Che, Y Wei Numerical Algorithms 84 (2), 567-590, 2020 | 26 | 2020 |
| Fast randomized tensor singular value thresholding for low‐rank tensor optimization M Che, X Wang, Y Wei, X Zhao Numerical Linear Algebra with Applications 29 (6), e2444, 2022 | 23 | 2022 |
| Stochastic structured tensors to stochastic complementarity problems S Du, M Che, Y Wei Computational Optimization and Applications 75 (3), 649-668, 2020 | 22 | 2020 |
| The generalized order tensor complementarity problems M Che, L Qi, Y Wei Numer. Math. Theor. Meth. Appl 13 (1), 131-149, 2020 | 21 | 2020 |
Yimin WeiFudan University在 fudan.edu.cn 的电子邮件经过验证
