Lei Li is an Assistant Professor in the Language Technologies Institute of the School of Computer Science at Carnegie Mellon University. His research interests include Natural Language Processing, Machine Learning, and Drug Discovery. He earned his B.S. from Shanghai Jiao Tong University and completed his Ph.D. at Carnegie Mellon University, focusing on fast algorithms for mining co-evolving time series. His dissertation work was recognized with the ACM KDD Dissertation Award (runner-up). He was also awarded the second-class Wu Wen-tsün AI Prize in 2017 and the ACL 2021 Paper Award. Li's team claimed top positions in the language translation direction corpus filtering challenge at WMT 2020. He has held roles as a postdoctoral researcher in the EECS department at UC Berkeley and as a principal researcher at Baidu's Institute of Deep Learning, as well as founding director of the AI Lab at ByteDance. Li has contributed significantly to the field as an Associate Editor for TPAMI and has served as an area chair and senior program committee member for numerous prominent conferences such as ACL, EMNLP, ICML, ICLR, and NeurIPS. He has delivered tutorials at international conferences and has lectured on Probabilistic Programming and Advancing Machine Learning.
UC Berkeley, EECS Department • Berkeley, CA
Worked on research projects in the EECS department.
Baidu's Institute of Deep Learning • Silicon Valley, CA
Conducted research in deep learning.
ByteDance AI Lab • Silicon Valley, CA
Led AI initiatives and systems.
Carnegie Mellon University • Pittsburgh, PA
Teaching and conducting research in Language Technologies.