Rui Deng

Rui Deng

Master in Computational Mathematical Engineering

Stanford University

About Me

I am a master student in ICME at Stanford University. Before that, I graduated from UCLA with major in Mathematics of Computation. I have a general interest in Machine Learning, Graph Neural Network, and Computer Vision. My current research focuses on developing efficient and scalable training paradigm for large-scale neural network. Meanwhile, I am also interested in general pretraining algorithms that provide rich representations and fundamental knowledge.

  • General ML framework (Self-Supervised Learning)
  • GNN and Information Retrieval
  • Model Scalability
  • M.S. in Computational Mathematical Engineering

    Stanford University (2022 - 2024)

  • B.S. in Math of Computation (GPA 3.98/4.0)

    University of California, Los Angeles (2018 - 2022)


Research Assistant
Sep 2022 – Present Stanford, California
Working on designing efficient large-scale graph training framework.
Research Assistant
Oct 2021 – May 2022 Los Angeles, California
Worked on gradient-boosting hashing for information retrieval and recommender systems.
Research Internship
Jul 2021 – Oct 2021 Beijing, China
Investigated self-supervised pretrain for general image representations and mining relational patterns for defective images.