Yaoyao Liu is an Assistant Professor in the School of Information Sciences and the Coordinated Science Laboratory at the University of Illinois Urbana-Champaign. He is also affiliated with the Siebel School of Computing and Data Science (formerly the Department of Computer Science), the Department of Electrical and Computer Engineering, the National Center for Supercomputing Applications, and the Illinois Informatics Institute. His research lies at the intersection of computer vision and machine learning, with a particular focus on developing continual and data-efficient intelligent visual systems. His research interests include continual learning, few-shot learning, semi-supervised learning, generative models, 3D geometry modeling, and medical imaging. He is a recipient of the 2024 ECVA PhD Award, and has been selected for the CVPR 2023 Doctoral Consortium, the WACV 2024 Doctoral Consortium, and the AAAI-26 New Faculty Highlights Program.
Yaoyao received his Ph.D. in Computer Science from the Department of Computer Vision and Machine Learning at the Max Planck Institute for Informatics, where he was advised by Prof. Bernt Schiele and Prof. Qianru Sun. As part of the European Laboratory for Learning and Intelligent Systems (ELLIS) Ph.D. Program, he was co-supervised by Prof. Christian Rupprecht and Prof. Andrea Vedaldi in the Visual Geometry Group (VGG) at the University of Oxford. He obtained his B.S. in Electronic Information Engineering from Tianjin University. He was a Postdoctoral Fellow in the Computational Cognition, Vision, and Learning (CCVL) Group at Johns Hopkins University, working with Prof. Alan L. Yuille. He was also a Research Intern in the NExT Research Centre at the National University of Singapore, working with Prof. Tat-Seng Chua and Prof. Qianru Sun.