max planck institut
informatik
MPII Max Planck Society
avatar

Yaoyao Liu

Ph.D. Candidate
Max Planck Institute for Informatics
yaoyao.liu (at) mpi-inf.mpg.de


About Me

I am currently a Ph.D. candidate in Computer Science at Max Planck Institute for Informatics, advised by Prof. Dr. Bernt Schiele and Prof. Qianru Sun. 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. 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 few-shot learning, class-incremental learning, semi-supervised learning, and image generation.

News

Publications [Google Scholar][DBLP]

  1. NeurIPS
    RMM: Reinforced Memory Management for Class-Incremental Learning
    Neural Information Processing Systems (NeurIPS), 2021.

  2. CVPR
    Adaptive Aggregation Networks for Class-Incremental Learning
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

  3. TPAMI
    Meta-Transfer Learning through Hard Tasks
    Qianru Sun,* Yaoyao Liu,* Zhaozheng Chen, Tat-Seng Chua, Bernt Schiele (*=Equal contribution)
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.

  4. ECCV
    An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
    European Conference on Computer Vision (ECCV), 2020.

  5. CVPR
    Mnemonics Training: Multi-Class Incremental Learning without Forgetting
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  6. NeurIPS
    Learning to Self-Train for Semi-Supervised Few-Shot Classification
    Neural Information Processing Systems (NeurIPS), 2019.

  7. CVPR
    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.

Teaching

Services

Organization Committee

Senior Program Committee

Conference Reviewers

Journal Reviewers



Feel free to use my website's source code.