Scholar
Felix Xinnan Yu
Google Scholar ID: lYvF6cUAAAAJ
Principal Scientist, Engineering Director, Google DeepMind
Citations & Impact
Citations
21,702
H-index
41
i10-index
61
Publications
20
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Research Experience
- Before DeepMind, worked on deep retrieval, efficient LLMs and their intersections at Google. The deep retrieval algorithms and models developed by his team are widely used across Google Search, Ads, YouTube, Play, and the new GenAI experience.
Education
- Received Ph.D. from the Department of Electrical Engineering at Columbia University in 2015, and B.S. from the Department of Electronic Engineering at Tsinghua University in 2010.
Background
- A Principal Scientist, Director at Google DeepMind, New York. Works on improving Gemini's fundamental capabilities of memorizing and retrieving information, and applying the capabilities in Ads, memory/personalization, long-context and more.
Co-authors