Scholar
Yuejiang Liu
Google Scholar ID: Xi-B5WIAAAAJ
Postdoc, Stanford
Citations & Impact
Citations
1,660
H-index
12
i10-index
12
Publications
18
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in top international conferences such as CoRL, RSS, ICLR, ICML, CVPR, NeurIPS, ICCV, AAAI, ICRA, etc.
Research Experience
- Served as a postdoc fellow at Stanford University, previously obtained a PhD from EPFL, and has collaborated with several renowned scholars.
Education
- Postdoc fellow at Stanford, advised by Chelsea Finn; PhD from EPFL, advised by Alexandre Alahi; interned with Francesco Locatello, Chris Russell, and Bernhard Schölkopf.
Background
- Research Interests: Designing and prototyping algorithms that enable deep neural networks to generalize or adapt to the unexpected, with applications in robotics. Research areas include: representation learning, data curation, test-time adaptation.
Miscellany
- Long-term goal is to create embodied intelligent agents that can thrive in our ever-evolving world. Believes achieving this requires breakthroughs in the science of scaling, especially in high-quality data acquisition and test-time compute.
