CV

English version (PDF)

Chinese version (PDF)

Education

• MSc, Applied Computational Science and Engineering, Imperial College London (2024-2025)
  Department of Earth Sciences and Engineering | Distinction
  Key Courses: Computational Mathematics (A*), Machine Learning (A*), Fluid Dynamics (A*), Deep Learning (A*)

• BSc, Applied Mathematics, Taiyuan University of Technology (2020-2024)
  Department of Mathematics | GPA: 4.5/5.0 (2/40)
  Key Courses: Mathematical Analysis (97), Advanced Algebra (98), Numerical Analysis (94)
  Awards: Academic Outstanding Individual (2020-2024)

Publications

How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models?

On Stability and Robustness of Diffusion Posterior Sampling for Bayesian Inverse Problems

How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models?

Information Shapes Koopman Representation

Physics-guided multistage neural network: A physically guided network for step initial values and dispersive shock wave phenomena

MSTCN-VAE: An unsupervised learning method for micro gesture recognition based on skeleton modality

Physics-informed Neural Network method for the Modified Nonlinear Schrödinger equation