Yaoyao Liu's Homepage

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

[Sept. 2021] Our paper about class-incremental learning is accepted to NeurIPS 2021.
[Mar. 2021] Our paper about class-incremental learning is accepted to CVPR 2021.
[Aug. 2020] Our paper about few-shot learning is accepted to IEEE TPAMI.
[July 2020] Our paper about few-shot learning is accepted to ECCV 2020.
[Feb. 2020] Our paper about class-incremental learning is accepted to CVPR 2020.
[Feb. 2020] We will host the ACM Multimedia Asia 2020 conference in Singapore!
[Sept. 2019] Our paper about few-shot learning is accepted to NeurIPS 2019.
[Mar. 2019] Our paper about few-shot learning is accepted to CVPR 2019.

Publications [Google Scholar][DBLP]

NeurIPS

RMM: Reinforced Memory Management for Class-Incremental Learning

Yaoyao Liu, Bernt Schiele, Qianru Sun

Neural Information Processing Systems (NeurIPS), 2021.

PDF Code Project Page BibTex

CVPR

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

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.

PDF Code BibTex

ECCV

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

CVPR

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

NeurIPS

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

Neural Information Processing Systems (NeurIPS), 2019.

PDF Code Project Page BibTex

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.

PDF Code Project Page BibTex
500+ Citations • GitHub Stars • Featured in NUS News