Yaoyao Liu

Assistant Professor
School of Information Sciences
Siebel School of Computing and Data Science (Affiliate)

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Short Biography

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, the Department of Electrical and Computer Engineering, and the National Center for Supercomputing Applications. Before joining Illinois, he obtained his Ph.D. in Computer Science at the Max Planck Institute for Informatics and his B.S. in Electronic Information Engineering at Tianjin University. He also spent time at Johns Hopkins, Oxford VGG, and the National University of Singapore. His full biography is here.

His research lies at the intersection of computer vision and machine learning, with a special focus on building intelligent visual systems that are continual and data-efficient. His research interests include continual learning, few-shot learning, generative models, 3D geometry models, and medical image analysis.

Selected Publications

The full publication list is available on my personal website and Google Scholar.

• FreeOrbit4D: Training-Free Arbitrary Camera Redirection for Monocular Videos via Foreground-Complete 4D Reconstruction
  Wei Cao, Hao Zhang, Fengrui Tian, Yulun Wu, Yingying Li, Shenlong Wang, Ning Yu, Yaoyao Liu
  ACM SIGGRAPH Conference Papers, 2026
  Paper Code Project Page Best Paper Award at CVPR 2026 GCV Workshop
• How to Teach Large Multimodal Models New Skills
  Zhen Zhu, Yiming Gong, Yao Xiao, Yaoyao Liu, Derek Hoiem
  European Conference on Computer Vision (ECCV), 2026
  Paper Code Spotlight
• Generating Images with 3D Annotations Using Diffusion Models
  Wufei Ma, Qihao Liu, Jiahao Wang, Angtian Wang, Xiaoding Yuan, Yi Zhang, Zihao Xiao, Guofeng Zhang, Beijia Lu, Ruxiao Duan, Yongrui Qi, Adam Kortylewski, Yaoyao Liu*, Alan Yuille (* corresponding author)
  International Conference on Learning Representations (ICLR), 2024
  Paper Code Project Page Spotlight
• Continual Learning for Abdominal Multi-Organ and Tumor Segmentation
  Yixiao Zhang, Xinyi Li, Huimiao Chen, Alan Yuille, Yaoyao Liu*, Zongwei Zhou* (* corresponding authors)
  International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
  Paper Code Early Accept
• Continual Detection Transformer for Incremental Object Detection
  Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, Christian Rupprecht
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
  Paper Code Project Page
• Adaptive Aggregation Networks for Class-Incremental Learning
  Yaoyao Liu, Bernt Schiele, Qianru Sun
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  Paper Code Project Page
• Mnemonics Training: Multi-Class Incremental Learning without Forgetting
  Yaoyao Liu, Yuting Su, An-An Liu, Bernt Schiele, Qianru Sun
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
  Paper Code Project Page Oral Presentation
• Meta-Transfer Learning for Few-Shot Learning
  Qianru Sun*, Yaoyao Liu*, Tat-Seng Chua, Bernt Schiele (* equal contribution)
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
  Paper Code Project Page

Contact

• Mailing Address: 614 E Daniel St MC-314, Champaign, IL 61820-7999
• Office Locations: Room 5125, 614 E Daniel St  /  Room 321, CSL
• Phone: (217) 300-0910