Beidi Chen is an Assistant Professor at Carnegie Mellon University. Previously, she was a visiting 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:
9 December 2024
We will present Sequoia(Spotlight), Sirius, S2FT, and Learn To be Efficient(Spotlight), SpecExec, Megalodon, Mini-Seq, Nearest Neighbor SpecDec, Who Needs Features?, Found in the Middle led by collaborators at NeurIPS 2024.
7 October 2024
We will present TriForce and GRIFFIN at COLM 2024.
11 August 2024
We will present Layer Skip at ACL 2024.
21 July 2024
We will present LESS, LoCoCo, and Galore(Oral), HexGen, Compress, then prompt, and KIVI led by collaborators at ICML 2024.
