Beidi Chen is an Assistant Professor at Carnegie Mellon University and a Research Scientist at FAIR. Before that, she was a postdoctoral scholar at Stanford University. She received her Ph.D. from Rice University.
Her research focuses on efficient AI; specifically, she designs and optimizes algorithms on current hardware to accelerate large machine learning systems. Her work has won best paper runner-up at ICML 2022 and she was selected as a Rising Star in EECS by MIT and UIUC.
InfiniAI lab’s research focuses on developing efficient and scalable AI algorithms and systems. Our key areas of focus include:
11 August 2024
We will present Layer Skip at ACL 2024.
21 July 2024
We will present five papers Galore, LESS, LoCoCo, HexGen, and KIVI at ICML 2024.
12 May 2024
We will present Q-Hitter at MLSys 2024.
7 May 2024
We will present StreamingLLM and JoMA at ICLR 2024.
