Student Page
University of Washington
Research
Shangbin Feng works on model collaboration, where multiple models collaborate and compose through diverse protocols to advance collaborative development and compositional intelligence. His research powers modular and participatory AI systems for a bottom-up and collaborative AI future.
Bio
Shangbin Feng is a PhD student at the University of Washington, advised by Yulia Tsvetkov. His research has won the best paper award at ACL 2023, the outstanding paper award at ACL 2024, the 2024 IBM PhD Fellowship, the 2025 Jane Street Graduate Research Fellowship, the 2026 NVIDIA Graduate Fellowship, and was covered by the Washington Post and MIT Technology Review.
Hometown
Yichang, China