Curriculum Vitae
Education
- M.Phil in Applied Mathematics, Fudan University, 2023
- B.S. in Mathematics and Applied Mathematics, Lanzhou University, 2020
Publications
- Weiyang Ding and Jie Li. Higher order extended dynamic mode decomposition based on the structured total least squares. SIAM Journal on Scientific Computing, 45(2), A985–A1011, 2023.
Internship
- Summer 2022: Research Intern
- Microsoft Research Asia - Machine Learning Group
- AI for Science, Parallel Algorithm Design, Numerical Algorithm, CUDA Implementation
- Supervisor: Lin Huang
- Fall 2019: Research Intern
- AI Research, iFLYTEK
- AI for Education, text mining, novel text similarity measures, attention mechanisms
- Supervisor: Jing Sha
Skills
- Machine Learning, Convex Optimization, Numerical Methods
- Coding & Project Management
- Python (PyTorch, NumPy, Scikit Learn. etc.), C/C++, Matlab, Julia
- LaTeX, Git
Open-Source Projects
- SparseADRules.jl: a Julia package that implements the backward rules for sparse matrix operations.
- PyDMD: a Python package that uses Dynamic Mode Decomposition for a data-driven model.
- MegEngine: a fast, scalable, and user friendly deep learning framework.
Talks
