Chenliang Xu -- Short Bio
Current as of September 2026

Chenliang Xu is an Associate Professor of Computer Science at the University of Rochester. He received his Ph.D. in Computer Science and Engineering from the University of Michigan in 2016. His research advances multimodal AI that integrates vision, sound, and language to understand and reason about dynamic scenes, with a focus on video understanding, audio-visual learning and generation, and reliable multimodal reasoning. He has coauthored 150 publications, including papers at CVPR, NeurIPS, ICCV, ECCV, ICLR, and ICML. His research has attracted support from major federal agencies—including DARPA, ARPA-H, NIH, NSF, NNSA, and NIST—and industry partners including Meta, Sony, Cisco, Adobe, and Corning. His Ph.D. graduates have gone on to faculty and research positions at institutions including UT Dallas, Meta, Microsoft AI, Adobe, Tencent, and ByteDance.

Xu’s honors include Rochester’s 2025 Edmund A. Hajim Outstanding Faculty Award for excellence in teaching, research, and service; the James P. Wilmot Distinguished Professorship (2021–2023); a Best Demo Award Runner-Up at AAAI 2026; a Best Paper Honorable Mention at ACCV 2024; and Best Paper Awards at ACM SIGGRAPH VRCAI 2019 and the Sound and Music Computing Conference 2017. He has served as an area chair for CVPR and ACM Multimedia and as an associate editor of IEEE Transactions on Multimedia. He will serve as a Program Chair for WACV 2028.