研究方向： 随机微分方程、随机动力系统、复杂网络的随机动力学
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个人经历
| 时间 |
单位 |
职称/职务/学历学位 |
| 2023.07-至今 |
乐竞官网数学科学乐竞官网 |
讲师 |
| 2017.09-2023.06 |
山东大学 |
博士 |
| 2021.07-2023.04 |
塞维利亚大学 |
联合培养博士 |
| 2013.09-2017.06 |
河北师范大学 |
学士 |
个人成果
论文
1. Z. Chen, D. Yang, S. Zhong, Wasserstein convergence rate of invariant measures for stochastic Schrodinger delay lattice systems, J. Differ. Equ., 415 (2025) 52-90.
2.Z. Chen and D. Yang, Invariant measures and stochastic Liouville type theorem for non-autonomous stochastic reaction-diffusion equations, J. Differ. Equ., 353 (2023) 225-267.
3.T. Caraballo, Z. Chen and D. Yang, Stochastic 3D globally modified Navier-Stokes equations: weak Attractors, invariant measures and large deviations, Appl. Math. Optim., 88 (2023) 1-46.
4.T. Caraballo, Z. Chen and D. Yang, Random dynamics and limiting behaviors for 3D globally modified Navier-Stokes equations driven by colored noise, Stud. Appl. Math., 151 (2023) 247-284.
5.T. Caraballo, Z. Chen and D. Yang, G-mean random attractors for complex Ginzburg-Landau equations with probability-uncertain initial data, Commun. Math. Sci., 21 (2023) 709-730.
6.Z. Chen, D. Yang and S. Zhong, Hopfield neural networks with delays driven by colored noise, IEEE Trans. Neural Netw. Learn. Syst., 34 (2023) 4308-4320.
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