Chenliang Xu -- Short Bio
Current as of April 2026

Chenliang Xu is a tenured Associate Professor of Computer Science at the University of Rochester. He received his Ph.D. in Computer Science from the University of Michigan in 2016, an M.S. in Computer Science from the University at Buffalo in 2012, and a B.S. in Information and Computing Science from Nanjing University of Aeronautics and Astronautics, China, in 2010. His research lies at the intersection of computer vision, audio-visual learning, and trustworthy AI, with a focus on teaching machines to understand the world through video, sound, and language. He has authored over 130 peer-reviewed papers at premier venues including CVPR, NeurIPS, ICCV, ECCV, ICLR, and ICML, and his research has been supported by DARPA, ARPA-H, NIH, NSF, DOE, Meta, and Sony. His PhD graduates hold tenure-track faculty positions and research roles at top industry labs including Meta, Tencent, Microsoft AI, and Adobe.

Xu is a recipient of the 2025 Edmund A. Hajim Outstanding Faculty Award from the Hajim School of Engineering & Applied Sciences, the James P. Wilmot Distinguished Professorship (2021), the University of Rochester Research Award (2021), the Best Paper Award Runner-Up at ACCV 2024, the Best Paper Award at ACM SIGGRAPH VRCAI 2019, and the Best Paper Award at the Sound and Music Computing Conference 2017. He has served as area chair for major international conferences in computer vision and machine learning.