| ♥ 代表作 |
| ① M. Foondun, W. Liu and M. Omaba, Moment bounds for a class of fractional stochastic heat equations，Annals of Probability, 2017, 45(4), 2131-2153. |
| ② W. Liu, W. Mao, X. Mao and J. Zhou, Stabilization of hybrid systems by event-triggered control based on discrete-time state observations, SIAM Journal on Control and Optimization, 2025, 63(5), 3501-3525. |
| ③ X. Li, W. Liu, Q. Luo and X. Mao, Stabilisation in Distribution of Hybrid Stochastic Differential Equations by Feedback Control based on Discrete-Time State Observations, Automatica, 2022, 140, 110210. |
| ④ C.-S. Deng and W. Liu, Semi-implicit Euler-Maruyama method for non-linear time-changed stochastic differential equations, BIT Numerical Mathematics, 2020, 60(4), 1133-1151. |
| ⑤ M. Foondun, W. Liu and E. Nane, Some non-existence results for a class of stochastic partial differential equations, Journal of Differential Equations, 2019, 266(5), 2575-2596. |
⑥ W. Liu and X. Mao, Almost sure stability of the Euler–Maruyama method with random variable stepsize for stochastic differential equations，Numerical Algorithms，2017，74(2), 573-592. |
⑦ W. Liu, X. Mao and Y. Wu, The backward Euler-Maruyama method for invariant measures of stochastic differential equations with super-linear coefficients, Applied Numerical Mathematics, 2023, 184, 137-150. |
| ⑧ Q. Guo, W. Liu, X. Mao and R. Yue, The partially truncated Euler–Maruyama method and its stability and boundedness，Applied Numerical Mathematics，2017，115, 235-251. |
| ⑨ W. Liu and X. Mao, Numerical stationary distribution and its convergence for nonlinear stochastic differential equations，Journal of Computational and Applied Mathematics，2015，276, 16-29. |
| ⑩ W. Liu and X. Mao, Strong convergence of the stopped Euler–Maruyama method for nonlinear stochastic differential equations, Applied Mathematics and Computation, 2013, 223, 389-400. |
| 全部论文列表→ |
| 更全面的论文信息请见各类数据库：（1）ResearcherID （2）ORCiD （3）Scopus （4）MR Author ID |