max planck institut
informatik
informatik
I am a Ph.D. candidate in Computer Science at Max Planck Institute for Informatics, working with 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.
RMM: Reinforced Memory Management for Class-Incremental Learning
Yaoyao Liu, Bernt Schiele, Qianru Sun
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), 2021.
[PDF] [Code] [Project Page] [BibTex]
Adaptive Aggregation Networks for Class-Incremental Learning
Yaoyao Liu, Bernt Schiele, Qianru Sun
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[PDF] [Code] [Project Page] [BibTex]
GitHub Stars
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.
[PDF] [IEEE Xplore] [Code] [BibTex]
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
Yaoyao Liu, Bernt Schiele, Qianru Sun
European Conference on Computer Vision (ECCV), 2020.
[PDF] [Code] [Project Page] [BibTex]
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.
[PDF] [Code] [Project Page] [BibTex] Oral Presentation
Learning to Self-Train for Semi-Supervised Few-Shot Classification
Xinzhe Li, Qianru Sun, Yaoyao Liu, Shibao Zheng, Qin Zhou, Tat-Seng Chua, Bernt Schiele
Thirty-third Conference on Neural Information Processing Systems (NeurIPS), 2019.
[PDF] [Code] [Project Page] [BibTex]
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.
[PDF] [Code] [Project Page] [BibTex]
GitHub Stars • 470+ Citations • Media Coverage at NUS