Yaoyao Liu's Homepage

About Me

I am currently a final-year Ph.D. candidate in Computer Science at Max Planck Institute for Informatics, where I am fortunate to be advised by Prof. Bernt Schiele and Prof. Qianru Sun. As part of the ELLIS Ph.D. Program, I am co-supervised by Dr. 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. 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, and image generation.

News

[Nov. 2022] Our paper about class-incremental learning is accepted to AAAI 2023.
[Oct. 2022] I am recognized as a top reviewer for NeurIPS 2022.
[Aug. 2022] I will serve as an area chair of AISTATS 2023.
[June 2022] I will serve as a student mentor of the CVPR Academy at CVPR 2022.
[June 2022] I will serve as a website chair of BMVC 2022.
[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.
[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]

AAAI

Online Hyperparameter Optimization for Class-Incremental Learning

Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun

AAAI Conference on Artificial Intelligence (AAAI), 2023.

PDF Project Page BibTex

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), Volume 44, Number 3, 2022.

PDF Code BibTex

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

CVIU

Learning to Teach and Learn for Semi-supervised Few-shot Image Classification

Xinzhe Li, Jianqiang Huang, Yaoyao Liu, Qin Zhou, Shibao Zheng, Bernt Schiele, Qianru Sun

Computer Vision and Image Understanding (CVIU), Volume 212, 2021.

PDF Code BibTex

TNNLS

Generating Face Images with Attributes for Free

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.

PDF 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
800+ Citations • GitHub Stars • Featured in NUS News
Top 200 Most Cited CVPR Paper over the Last Five Years