陈小丽，中国地质大学（武汉）特任教授，入选湖北省高层次人才计划(2024年)，地大学者青年拔尖人才（A类）。主要从事随机动力系统、机器学习、微分方程数值解以及相关交叉应用研究。

研究方向

随机动力系统、人工智能、科学计算、统计建模、微分方程数值解

工作与教育经历

2024年3月-至今 中国地质大学（武汉），数学与物理学院，特任教授

2021年3月-2024年3月 新加坡国立大学，数学系/I-FIM，博士后 指导导师：Li Qianxiao

2018年9月-2020年9月 布朗大学，应用数学，联合培养 指导导师：George Karniadakis

2015年9月-2020年8月 华中科技大学，统计学，理学博士  指导导师：段金桥、李东方

主持项目

2026年1月-2028年12月 主持国家自然科学基金青年科学基金项目（C类）

2025年6月-2028年5月 主持重庆市自然科学基金面上项目

2025年6月-2027年6月 主持武汉市自然科学基金探索计划（晨光计划）

2025年5月-2027年4月 主持广东省重点实验室开放课题项目

2025年3月-2027年2月 主持湖北省青年基金项目

2026年1月-2028年12月 主持深圳市面上项目

2026年1月-2028年12月 主持广东省优秀青年项目

2026年1月-2027年12月 主持粤港澳应用数学中心青年启动项目

2016年9月-2019年9月 主持华中科技大学技术创新基金项目

发表文章

[1]Xiaoli Chen#, Beatrice W. Soh#, Zi-En Ooi, Eleonore Vissol-Gaudin, Haijun Yu, Kostya S. Novoselov*, Kedar Hippalgaonkar*, and Qianxiao Li*. Constructing custom thermodynamics using deep learning. Nature Computational Science, 4(1): 66-85 (2024).

[2]Xiaoli Chen, Phoebus Rosakis*, Zhizhang Wu, and Zhiwen Zhang*. Solving nonconvex energy minimization problems in martensitic phase transitions with a mesh-free deep learning approach. Computer Methods in Applied Mechanics and Engineering 416: 116384 (2023).

[3]Xiaoli Chen*, Liu Yang, Jinqiao Duan, George Em Karniadakis, Solving inverse stochastic problems from discrete particle observations using the Fokker-Planck equation and physics-informed neural networks, SIAM Journal on Scientific Computing, 43(3): B811-B830 (2021).

[4]Jiangyan Liu, Ming Yi, Ting Gao, Xiaoli Chen*. Analysis of influencing factors and the most probable transition pathway in the narrow escape problem for molecular systems based on deep learning method. Chaos, 35(9) (2025).

[5]Jiangyan Liu , jiaqian Zhao, Ming Yi, Jinqiao Duan, Xiaoli Chen*. Data driven discovery of escape phenomena in stochastic systems. Chaos, 35(5) ( 2025).

[6]Xiaoge Guo, Xiaoli Chen, Yan Li,Xiuting Li. Data-driven discovery of slow–fast stochastic differential equations with data binning and sparse bayesian strategy. Stochastics and Dynamics, 2550020 (2025).

[7]Xiaoli Chen*, Jinqiao Duan, George Em Karniadakis. Learning and Meta-Learning of stochastic Advection-Diffusion-Reaction systems from sparse measurements, European Journal of Applied Mathematics, 32(3):397-420 (2021).

[8]Xiaoli Chen, Hui Wang*, Jinqiao Duan. Detecting stochastic governing laws with observation on stationary distributions. Physica D: Nonlinear Phenomena, 448, 133691 (2023).

[9]Jian Ren, Xiaoli Chen*. Identifying stochastic governing equations from data of the most probable transition trajectories. Stochastics and Dynamics, 2340010 (2023).

[10]Xiaoli Chen, Jinqiao Duan*. Nonlocal dynamics for non-Gaussian systems arising in biophysical modeling, Communications on Applied Mathematics and Computation, 2(2): 201-213 (2020).

[11]Xiaoli Chen, Fengyan Wu*, Jinqiao Duan, Jürgen Kurths, Xiaofan Li. Most probable dynamics of a genetic regulatory network under stable Lévy noise, Applied Mathematics and Computation, 348: 425-436 (2019).

[12]Fengyan Wu, Xiaoli Chen*, Yayun Zheng, Jinqiao Duan, Jürgen Kurths, Xiaofan Li. Lévy noise-induced transition and enhanced stability in a gene regulatory network. Chaos, 28(7): 075510 (2018).

[13]Hui Wang, Xiaoli Chen, Jinqiao Duan*. A Stochastic Pitchfork Bifurcation in Most Probable Phase Portraits. International Journal of Bifurcation & Chaos, 28(1): 1850017 (2018).

[14]Xiaoli Chen, Jinqiao Duan, Jianyu Hu*, Dongfang Li. Data-driven method to learn the most probable transition pathway and stochastic differential equation, Physica D: Nonlinear Phenomena, 443, 133559 (2023).

[15]Jianyu Hu, Xiaoli Chen*, Jinqiao Duan. An Onsager-Machlup approach to the most probable transition pathway for a genetic regulatory network, Chaos, 32, 041103 (2022).

[16]Wei Wei, Ting Gao, Xiaoli Chen*, Jinqiao Duan. An optimal control method to compute the most likely transition path for stochastic dynamical systems with jumps, Chaos,32, 051102 (2022).

[17]Xiaoli Chen, Yana Di, Jinqiao Duan, Dongfang Li*. Linearized compact ADI schemes for nonlinear time-fractional Schrödinger equations. Applied Mathematics Letters, 84: 160-167 (2018).

[18]Xiaoli Chen, Jinqiao Duan, Dongfang Li*. A Newton linearized compact finite difference scheme for one class of Sobolev equations. Numerical methods for partial differential equations, 34(3): 1093-1112 (2018).

[19]Boya Zhou, Xiaoli Chen, Dongfang Li*. Nonuniform Alikhanov linearized Galerkin finite element methods for nonlinear time-fractional parabolic equations, Journal of Scientific Computing, 85(2): 1-20 (2020).

[20]Lili Li, Dan Zhao, Mianfu She, Xiaoli Chen*. On high order numerical scheme for the nonlinear fractional differential equations by block-by-block approach, Applied Mathematics and Computation, 425, 127098 (2022).

[21]Rui Cai, Xiaoli Chen*, Jinqiao Duan, Jürgen Kurths, Xiaofan Li. Lévy noise-induced escape in an excitable system. Journal of Statistical Mechanics: Theory and Experiment, 6(6): 063503 (2017).

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