Scholar
Yutong Bai
Google Scholar ID: N1-l4GsAAAAJ
Postdoc, UC Berkeley
Citations & Impact
Citations
2,541
H-index
18
i10-index
25
Publications
20
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- Selected as 2023 Apple Scholar and MIT EECS Rising Star; awarded EECS Rising Star in MIT in 2024; Machine Learning Rising Star in UMD in 2023; EECS Rising Star in Georgia Tech in 2023; Apple Fellowship in 2023; CVPR Best Paper Finalist in 2022. Published papers such as 'Whole-Body Conditioned Egocentric Video Prediction' (NeurIPS, 2025).
Research Experience
- Interned at Meta AI (FAIR Labs) and Google Brain. Currently a Postdoc Researcher at the Berkeley Artificial Intelligence Research lab.
Education
- Obtained a CS PhD degree from Johns Hopkins University, advised by Prof. Alan Yuille; currently a Postdoc Researcher at UC Berkeley, advised by Prof. Alexei (Alyosha) Efros, Prof. Jitendra Malik, and Prof. Trevor Darrell.
Background
- Research interests include building intelligent systems from first principles, exploring how intelligence emerges from behaviorally rich and understructured environments. Focuses on understanding what makes behavior intelligent, designing systems that learn internal structure from raw behavioral input, and creating conditions where models discover abstraction and reasoning through learning.
Miscellany
- Personal interests not specifically mentioned.
