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

• Differentiating Sparse Matrix Operations with Reversible Programming.JuliaCN Meetup 2021.