Vincent Liu
Scholar

Vincent Liu

Google Scholar ID: TY0sFqgAAAAJ
Stanford University
Deep Learning
Citations & Impact
All-time
Citations
177
 
H-index
4
 
i10-index
3
 
Publications
8
 
Co-authors
0
 
Publications
8 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published two papers: 'EgoZero: Robot Learning from Smart Glasses' and 'Feel the Force: Contact-Driven Learning from Humans'; featured in Tesla's 2021 AI Day event; lectured on GANs for Stanford's CS 236G course.
Research Experience
  • Contributed to the training and scaling of CSM's Implicit Shape Foundation Model and Neural Radiance Field Foundation Model; trained and shipped models for Tesla Full Self-Driving releases; trained and shipped lightweight speech vocoders for NVIDIA NeMo.
Education
  • BA in Mathematics from Stanford University; MS in Computer Science from Stanford University.
Background
  • Research interests span theoretical and applied topics in 3D world models, self-driving, speech generation, multi-task learning, self-supervised learning, computer vision, reinforcement learning, and natural language processing. Worked at Tesla Autopilot’s AI Team, developed generative speech models at NVIDIA, and co-created a PhD-level class on GANs at Stanford.
Miscellany
  • Cofounder of Mecha.
Co-authors
0 total
Co-authors: 0 (list not available)