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Yaoyao Liu

Postdoctoral Fellow
Johns Hopkins University
yyliu (at) cs.jhu.edu
yliu538 (at) jhu.edu


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

Publications [Google Scholar][DBLP]

  1. ICLR
    Wufei Ma*, Qihao Liu*, Jiahao Wang*, Xiaoding Yuan, Angtian Wang, 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.

  2. WACV
    Yaoyao Liu, Yingying Li, Bernt Schiele, and Qianru Sun
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.

  3. 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.

  4. CVPR
    Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, Christian Rupprecht
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

  5. CVPR
    Zilin Luo, Yaoyao Liu, Bernt Schiele, Qianru Sun
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

  6. AAAI
    Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun
    AAAI Conference on Artificial Intelligence (AAAI), 2023.

  7. 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.

  8. NeurIPS
    Yaoyao Liu, Bernt Schiele, Qianru Sun
    Neural Information Processing Systems (NeurIPS), 2021.

  9. CVPR
    Yaoyao Liu, Bernt Schiele, Qianru Sun
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

  10. CVIU
    Xinzhe Li, Jianqiang Huang, Yaoyao Liu, Qin Zhou, Shibao Zheng, Bernt Schiele, Qianru Sun
    Computer Vision and Image Understanding (CVIU), Volume 212, 2021.

  11. 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.

  12. ECCV
    Yaoyao Liu, Bernt Schiele, Qianru Sun
    European Conference on Computer Vision (ECCV), 2020.

  13. CVPR
    Yaoyao Liu, Yuting Su, An-An Liu, Bernt Schiele, Qianru Sun
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  14. NeurIPS
    Xinzhe Li, Qianru Sun, Yaoyao Liu, Shibao Zheng, Qin Zhou, Tat-Seng Chua, Bernt Schiele
    Neural Information Processing Systems (NeurIPS), 2019.

  15. 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.

Meta-transfer Learning for Few-shot Learning.

Learning to Self-train for Semi-supervised Few-shot Classification.

Multi-class Incremental Learning.

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



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