Short Bio
I am currently a postdoctoral fellow in the Department of Computer Science at Johns Hopkins University. I am fortunate to work with Prof. Alan L. Yuille. I received my Ph.D. in Computer Science at Max Planck Institute for Informatics, where I was fortunate to be advised by Prof. Bernt Schiele and Prof. Qianru Sun. As part of the European Laboratory for Learning and Intelligent Systems (ELLIS) Ph.D. Program, I was also co-supervised by Prof. Christian Rupprecht and Prof. Andrea Vedaldi in the Visual Geometry Group (VGG) at the University of Oxford. From 2018 to 2019, I was a research intern at the National University of Singapore, working with Prof. Tat-Seng Chua and Prof. Qianru Sun. Prior to this, I obtained my bachelor’s degree from Tianjin University.
My 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. My research interests include continual learning, few-shot learning, semi-supervised learning, generative models, 3D geometry models, and medical imaging.
I am currently on the 2023-2024 academic job market, looking for faculty positions in CS, CSE, ECE, IEOR, etc., related to Artificial Intelligence, Computer Vision, and Machine Learning. Please feel free to contact me if you are interested. I am also happy to give talks on my research in related seminars.
News
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Preprint
Wufei Ma*, Qihao Liu*, Jiahao Wang*, Angtian Wang, Yaoyao Liu#, Adam Kortylewski, Alan Yuille (#Corresponding author)
Under review.
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MICCAI
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.
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CVPR
Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, Christian Rupprecht
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
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CVPR
Zilin Luo, Yaoyao Liu, Bernt Schiele, Qianru Sun
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
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AAAI
Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun
AAAI Conference on Artificial Intelligence (AAAI), 2023.
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TPAMI
Qianru Sun*, Yaoyao Liu*, Zhaozheng Chen, Tat-Seng Chua, Bernt Schiele (*Equal contribution)
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Volume 44, Number 3, 2022.
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NeurIPS
Yaoyao Liu, Bernt Schiele, Qianru Sun
Neural Information Processing Systems (NeurIPS), 2021.
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CVPR
Yaoyao Liu, Bernt Schiele, Qianru Sun
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
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CVIU
Xinzhe Li, Jianqiang Huang, Yaoyao Liu, Qin Zhou, Shibao Zheng, Bernt Schiele, Qianru Sun
Computer Vision and Image Understanding (CVIU), Volume 212, 2021.
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TNNLS
Yaoyao Liu, Qianru Sun, Xiangnan He, An-An Liu, Yuting Su, Tat-Seng Chua
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Volume 32, Number 6, 2021.
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ECCV
Yaoyao Liu, Bernt Schiele, Qianru Sun
European Conference on Computer Vision (ECCV), 2020.
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CVPR
Yaoyao Liu, Yuting Su, An-An Liu, Bernt Schiele, Qianru Sun
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
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NeurIPS
Xinzhe Li, Qianru Sun, Yaoyao Liu, Shibao Zheng, Qin Zhou, Tat-Seng Chua, Bernt Schiele
Neural Information Processing Systems (NeurIPS), 2019.
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CVPR
Qianru Sun*, Yaoyao Liu*, Tat-Seng Chua, Bernt Schiele (*Equal contribution)
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Teaching
Invited Talks
Learning from Imperfect Data: Incremental Learning and Few-shot Learning.
- Computational Imaging Seminar, Purdue University, August 2023.
- Vision and Graphics Seminar, Massachusetts Institute of Technology, April 2023.
- External Speaker Series, University of Illinois Urbana-Champaign, April 2023.
- VIGR Seminar, Columbia University, March 2023.
- Computational Cognition, Vision, and Learning Lab, Johns Hopkins University, January 2023.
- Visual Geometry Group (VGG), University of Oxford, November 2022.
- Fudan Vision and Learning Laboratory, Fudan University, September 2022.
- NExT++ Research Center, National University of Singapore, Singapore, April 2022.
- Singapore Management University, Singapore, September 2020.
Meta-transfer Learning for Few-shot Learning.
- École Polytechnique Fédérale de Lausann (EPFL), March 2023.
Learning to Self-train for Semi-supervised Few-shot Classification.
- NeurIPS Official Meetups, Beijing, December 2019.
Multi-class Incremental Learning.
- Nanyang Technological University, Singapore, July 2019.
Services
Organization Committee
Area Chairs
Senior Program Committee
Conference Reviewers
Journal Reviewers
Contact
Address: 3400 N. Charles St., Baltimore, MD 21218-2625
Office Location: Malone Hall 248
Email: yliu538 (at) jhu.edu
Phone: (857) 209-8688
