I am a postdoctoral researcher at the Institut für Geometrie und Praktische Mathematik, RWTH Aachen University, working with Prof. Dr. Markus Bachmayr and Prof. Dr. Wolfgang Dahmen.
Previously, I obtained my Ph.D. from the School of Mathematics and Statistics at Wuhan University, where I was advised by Prof. Jerry Zhijian Yang and Prof. Yuling Jiao. I also earned my Bachelor’s degree in Mathematics from Wuhan University.
My research lies at the intersection of computational mathematics, statistics, and machine learning, with a focus on scientific machine learning, generative models, inverse problems, and learning theory. I welcome opportunities for collaboration and discussion.
Research interests
- Scientific machine learning
- Generative models and sampling
- Inverse problems
- Statistical learning and deep learning theory
Publications
Authors are listed alphabetically in all publications. See Google Scholar for the complete list.
Ongoing work
Selected publications
Nonlinear Assimilation via Score-based Sequential Langevin Sampling
IEEE Transactions on Information Theory (2026)
Semi-Supervised Deep Sobolev Regression: Estimation and Variable Selection by ReQU Neural Network
IEEE Transactions on Information Theory (2025)
Award: 18th East Asia Section of SIAM Student Paper Prize, Second Prize
Recovering the Source Term in Elliptic Equation via Deep Learning: Method and Convergence Analysis
East Asian Journal on Applied Mathematics (2024)
Current Density Impedance Imaging with PINNs
Journal of Computational and Applied Mathematics (2024)
Deep Ritz Methods for Laplace Equations with Dirichlet Boundary Condition
CSIAM Transactions on Applied Mathematics (2022)
Convergence Rate Analysis for Deep Ritz Method
Communications in Computational Physics (2022)