1. L.Cui,J.Yao, J.Y. Yuan, A projection method based on discrete normalized dynamical system for computing C-eigenpairs, J. Optim. Theory Appl., 200(2024), 768–793. 2. L.Cui, W. Hu, J. Yuan, Iterative refinement method by higher-order singular value decomposition for solving multi-linear systems, Applied Mathematics Letters, 146,2023,108819. 3. L.Cui, XJ. Zhang, Bounds of H-eigenvalues of interval tensors. Comp. Appl. Math. 42, 280 (2023). 4. P.Wu, X. Zhao, M.Ding, Y. Zheng, L. Cui, T. Huang, Tensor ring decomposition-based model with interpretable gradient factors regularization for tensor completion, Knowledge-Based Systems, 259, 2023,110094. 5. L.Cui, G. Lian, J. Yuan, Existence and uniqueness of positive solution for multilinear systems with generalized strong M-tensor, Applied Mathematics Letters, 133 (2022) 108262. (SCI) 6. L.Cui,Q.Hu,Y. Chen, Y.Song, A Rayleigh quotient-gradient neural network method for computing Z-eigenpairs of general tensors, Numer. Lin. Alg. Appl., 29(3)(2022). (SCI) 7. L.Cui, Y.Fan, Y.Song, S.Wu, The existence and uniqueness of solution for tensor complementarity problem and related systems, J. Optim. Theory Appl., 192(2022), 321-334. (SCI) 8. L.Cui, Y.Fan, Y.Zheng, A general preconditioner accelerated SOR-type iterative method formulti-linear systems with Z-tensors,Computational and Applied Mathematics,41(2022)26. (SCI) 9. L.Cui, Q.Hu, A chord-Zhang neural network model for solving absolute value equations, Pacific Journal of Optimization, 18(2022),77-89.(SCI) 10. L. Cui, C.Li, S.Wu, The relaxation convergence of multisplitting AOR method for linear complementarity problem, Linear and Multilinear Algebra, 69(2021),40-47. (SCI) 11. L.Cui, X. Zhang,Y.Zheng, A preconditioner based on a splitting-type iteration method for solving complex symmetric indefinite linear systems, Japan Journal of Industrial and Applied Mathematics, 38(2021),965-978. (SCI) 12. L.Cui, X. Zhang, S. Wu, A new preconditioner of the tensor splitting iterative method for solving multi-linear systems with M-tensors, Computational and Applied Mathematics (2020) 39:173. (SCI) 13. Y.Liang,R.Ke,W.Li,L.Cui, On the extreme points of slice-stochastic tensors, Linear and Multilinear Algebra, online,2020, doi:10.1080/03081087.2020.1859978. (SCI) 14. L.Cui, M. Li and Y. Song, Preconditioned tensor splitting iterations method for solving multi-linear systems, Applied Mathematics Letters, 96(2019),89-94. (SCI) 15. L.Cui, Y.Song, On the uniqueness of the positive Z-eigenvector for nonnegative tensors, Journal of Computational and Applied Mathematics, 352 (2019) 72–78. (SCI) 16. L. Cui, M.Li, Jordan canonical form of three-way tensor with multilinear rank (4,4,3), Front. Math. China 2019, 14(2), 281-300. (SCI) 17. L. Cui, M.Li, A note on the three-way generalization of the Jordan canonical form, Open Math. 2018; 16: 897–912. (SCI) 18. L.Cui, C. Chen, W.Li and M. Ng, An eigenvalue problem for even order tensors with its applications, Linear and Multilinear Algebra, 64(2016),602-621. ISSN: 0308-1087 (SCI) 19. L.Cui, W.Li and M. Ng, Primitive Tensors and Directed Hypergraphs, Linear Algebra and its Applications, 471(2015), 96-108. ISSN:0024-3795 (SCI) 20. L.Cui, W.Li and M. Ng, Birkhoff-von Neumann Theorem for Multi-Stochastic Tensors, SIAM J. Matrix Anal. Appl.,35(3)(2014), 956–973. ISSN: 0895-4798(SCI) 21. W. Li, L .Cui, M.Ng, On computation of the steady-state probability distribution ofprobabilistic Boolean networks with a gene perturbation, J. Comput. Appl. Math, 236(2012), 4067-4081. (SCI) 22. W.Li, L. Cui and M.Ng, The perturbation bound for the Perron vector of a transition probability tensor, Numer. Lin. Alg. Appl., 20(2013), 985-1000. (SCI) 23. B. Li, W. Li, L.Cui, New bounds for perturbation of the orthogonal projection, Calcolo,50(2013), 69–78 . (SCI) 24. W. Li, L. Jiang, W-K. Ching and L. Cui, On perturbation bounds for the joint stationary distribution of multivariate Markov chain models, East Asian J Appl Math, 3(1)(2013), 1-17. (SCI) (通讯作者) 25. L. Cui, W. Li,W-K. Ching, On Construction of Sparse Probabilistic Boolean Networks from a Prescribed Transition Probability Matrix , Proceedings of The Fourth International Conference on Computational Systems Biology, Lecture Notes in Operations Research 13, 2010, 227-234. (ISTP) |