Portrait photo of Feiyang Ma

Feiyang Ma

Machine Learning Researcher, Efficient Accelerationist

I am a Master student in the Department of Computer Science and Engineering at the University of California, San Diego. I finished my undergraduate study at University of California, Irvine majoring in Computer Science with a specialization in intelligence systems. My research interests are in the field of computer vision and machine learning. My goal is to build spatial intelligence systems that can operate in the real world and generalize to unseen scenarios. My research interests include:

  1. Self-supervised learning in 3D vision
  2. Geometric deep learning for building strong priors

I'm currently learning about group representation theory including SE(3) equivalence and how it could benefit learning. In my spare time, I enjoy reading books, going to gym, playing video games and soccer. In fact, I might join the volunteering group of FIFA World Cup in Los Angeles in June 2026! If you are part of the soccer world you should try to sign up for the tryout! This is the La Copa de la Vida! Let's see if Argentina wins the World Cup again!


Selected Publications (full list)


Experience

  • Developed novel architectures for processing point cloud data using SE(3) equivariant networks
  • Researched applications of geometric deep learning and Lie groups in computer vision
  • Prepared manuscripts for publication in top-tier conferences (CVPR, ICML)
  • Collaborated with industry partners on autonomous driving perception systems
  • Built and deployed 3D reconstruction pipelines processing millions of images daily
  • Optimized model inference speed by 40% through quantization and pruning techniques
  • Collaborated with cross-functional teams to integrate ML models into production systems

If you have any questions, please feel free to contact me.