About Me

🎓 Education

🔬 Research

My personal interest is to explore market rules in a quantitative way.

During my time at Tsinghua University, my research interests focused on Deep Learning for solving partial differential equations, with additional work in:

• Convex Optimization
• Deep Learning Applications
• Numerical Solutions for PDEs
• Quantitative Trading

My main research goal was to leverage deep learning to accelerate traditional numerical methods for solving partial differential equations.

📚 Academic Background

Undergraduate Courses

Mathematics Foundation: Mathematical Analysis, Algebra, Linear Algebra, Real Analysis, Differential Equations, Complex Analysis, Functional Analysis, Modern Algebra

Applied Mathematics: Data Structure & Database, Combinatorics, Probability Theory, Mathematical Statistics, Stochastic Process, Numerical Algebra, Operations Research

Interdisciplinary: Management Science, Economics

All mathematics courses achieved top grades

Ph.D. Courses

Algorithm Analysis and Design • Advanced Numerical Analysis • Big Data and Computing • Fundamentals of Machine Learning • Finite Element Methods • Modern Optimization Methods • Difference Methods • Inverse Problem Theory and Applications • Deep Learning

📝 Publications

4. Chang Y, Yang D, He X. A deep learning operator-based numerical scheme method for solving 1-D wave equations[J]. Journal of Geophysics and Engineering, 2024: gxae062.

3. Yunfan Chang, Dinghui Yang, and Xijun He. “A robust numerical method based on deep learning operator for solving the 2D acoustic wave equation,” GEOPHYSICS 2024, 89(4): T195-T205.

2. Jiandong Huang, Dinghui Yang, Xijun He, and Yunfan Chang. “Wavefield simulation with the discontinuous Galerkin method for poroelastic wave equation in triple-porosity media”. GEOPHYSICS 2023 88:3, T121-T135.

1. HE XiJun, YANG DingHui, QIU ChuJun, ZHOU YanJie, CHANG YunFan. 2021. A parallel weighted Runge-Kutta discontinuous galerkin method for solving acousitc wave equations in 3D D’Alembert media on unstructured meshes. Chinese Journal of Geophysics (in Chinese), 64(3): 876-895.

🏆 Honors and Awards