•  华南理工大学数学学院

卢裕滨

发布时间:2026-09-04文章来源:华南理工大学数学学院浏览次数:2681



工作经历

  • 2026.02 - 至今     华南理工大学数学学院 助理教授
  • 2022.07 - 2025.12 Illinois Institute of Technology 博士后

教育背景

  • 2017.09 - 2022.06 华中科技大学 统计学 理学博士
  • 2013.09 - 2017.06 华中科技大学 统计学 理学学士


随机动力系统、AI for Science、数据驱动建模、科学机器学习

代表论文

  [1] Y. Lu*, X. Li, C. Liu, Q. Tang, and Y. Wang. “Structure-aware variational learning of a class of generalized diffusions”, arXiv preprint arXiv:2604.20188, 2026.

  [2] Y. Lu, X. Li, C. Liu, Q. Tang, and Y. Wang. “Learning generalized diffusions using an energetic variational approach”, Communications in Computational Physics, 2026, 40(2): 389-412.

  [3] Q. Zhang and Y. Lu*. “Entropy production rate and time-reversibility for general jump diffusions on R^n”, Chaos, 2025, 35(10): 103104.

  [4] Y. Lu, Z. Wang, and G. Bal. “Mathematical analysis of singularities in the diffusion model under the submanifold assumption”, East Asian Journal on Applied Mathematics, 2025, 15(4): 669-700.

[5] Y. Lu, C. Chen, X. Li, and C. Liu. “Finite difference approximation with ADI scheme for two-dimensional Keller-Segel equations”, Communications in Computational Physics, 2024, 35(5): 1352-1386. 

  [6] C. Fang, Y. Lu*, T. Gao, and J. Duan. “Reservoir computing with error correction: Long-term behaviors of stochastic dynamical systems”, Physica D, 2023, 456: 133919. 

[7] Y. Lu, R. Maulik, T. Gao, F. Dietrich, I. G. Kevrekidis, and J. Duan. “Learning the temporal evolution of multivariate densities via normalizing flows”, Chaos, 2022, 32(3): 033121. 


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