Chenfeng Xu
Scholar

Chenfeng Xu

Google Scholar ID: RpqvaTUAAAAJ
UC Berkeley
Efficient Generative AIEfficient Machine LearningEfficient ComputationAI SystemsRobotics
Citations & Impact
All-time
Citations
5,809
 
H-index
25
 
i10-index
35
 
Publications
20
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • Received Qualcomm Innovation Fellowship 2024.
Research Experience
  • Currently, a senior AI Researcher in Together AI. Incoming tenure-track assistant professor at UT Austin CS Department starting from Fall 2026.
Education
  • Ph.D. degree at UC Berkeley in 2025, advised by Prof. Masayoshi Tomizuka (ME department) and Prof. Kurt Keutzer (EECS department).
Background
  • Research interests: Efficient Machine Learning and AI Systems. Aim to build data-and computational-efficient intelligent systems (running faster and learning faster with less data). My work applies broadly to physical embodiments, including mobile devices, robotics, and autonomous driving etc.
Miscellany
  • Personal interest: Likes tennis, invites everyone to have fun together!