ywangcy AT

Yaqing Wang (王雅晴)

Staff Researcher, Baidu Research

I obtained my PhD degree in the Department of Computer Science and Engineering (CSE), Hong Kong University of Science and Technology (HKUST), 2019. My supervisors are Prof. Lionel M. Ni and Prof. James T. Kwok. Before that, I obtained my Bachelor degree in School of Computer Science and Technology, Shandong University, 2014. Now I am working at Baidu Research.

Research Interests

Recently, I am mainly working on few-shot learning (FSL) and meta-learning methods and their application to diverse application scenarios:

  • Natural language processing
  • Biomedical applications
  • Knowledge graph
  • Cold-start recommendation
  • Query understanding

Our team maintains PaddleFSL, a Python toolkit for FSL built upon PaddlePaddle. PaddleFSL provides various FSL solutions which are applicable to diverse applications. Please see the paper for details.

Recent Publications

* indicates equal contribution, † indicates corresponding author

Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models
Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen,Yaqing Wang, Dejing Dou
Machine Learning (MLJ), 2022

Efficient Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization
Quanming Yao, Yaqing Wang†, Bo Han, James T. Kwok
Journal of Machine Learning Research (JMLR), 2022

RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning
Yaqing Wang*, Tian Xin*, Haoyi Xiong, Yueyang Li, Zeyu Chen, Sheng Guo, Dejing Dou
Findings of North American Chapter of the ACL (NAACL Findings), 2022

Recognizing Medical Search Query Intent by Few-shot Learning
Yaqing Wang*, Song Wang*, Yanyan Li, Dejing Dou
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Long Paper, 2022

Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
Yaqing Wang*, Abulikemu Abuduweili*, Quanming Yao, Dejing Dou
Annual Conference on Neural Information Processing Systems (NeurIPS), Spotlight (< 3%), 2021
[Official Link] [Paper] [Code]

Exploring the Common Principal Subspace of Deep Features in Neural Networks
Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dongrui Wu, Dejing Dou
Machine Learning (MLJ), 2021
[Official Link] [Paper]

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification
Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou
Conference on Empirical Methods in Natural Language Processing (EMNLP), Long Paper, 2021
[Official Link] [Paper] [Code]

A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning
Yaqing Wang, Quanming Yao, James T. Kwok
The Web Conference (WWW), 2021
[Official Link] [Paper]

Generalized Convolutional Sparse Coding with Unknown Noise
Yaqing Wang, James T. Kwok, Lionel M. Ni
IEEE Transactions on Image Processing (TIP), 2020
[Official Link] [Paper]

Generalizing from a Few Examples: A Survey on Few-Shot Learning
Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni
ACM Computing Surveys (CSUR), 2020
[Official Link] [Paper] [FSL Resources]

Online Convolutional Sparse Coding with Sample-Dependent Dictionary
Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni
International Conference on Machine Learning (ICML), 2018
[Official Link] [Paper] [Code]

Scalable Online Convolutional Sparse Coding
Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni
IEEE Transactions on Image Processing (TIP), 2018
[Official Link] [Paper] [Code]

Zero-Shot Learning with a Partial Set of Observed Attributes
Yaqing Wang, James T. Kwok, Quanming Yao, Lionel M. Ni
International Joint Conference on Neural Networks (IJCNN), 2017
[Official Link] [Paper]

Research Interns

We always have positions for highly motivated and talented interns. Please don't hesitate to contact me with your CV if you are interested.

Interns who worked with me for 6 months+:

  • Abulikemu Abuduweili (2020.8 - 2021.8): Master, Peking University -> PhD, Carnegie Mellon University
  • Song Wang (2020.8 - 2021.8): Undergraduate, Tsinghua University -> PhD, University of Virginia
  • Zijing Zhao (2021.3 - 2021.9): Undergraduate, Beihang University -> Master, Peking University
  • Zaifei Yang (2021.5 - Now): Undergraduate, Beihang University -> Master, Chinese Academy of Sciences
  • Linfeng Du (2021.8 - Now): Undergraduate, Beihang University -> Master, University of Toronto
  • Zhenqian Shen (2021.10 - Now): Undergraduate, Tsinghua University
  • Kaixin Zheng (2021.10 - Now): PhD, Beihang University

Working Experience

Selected Awards

Academic Service

  • Senior Program Committee Member (Meta Reviewer): IJCAI 2021, AAAI 2022
  • Conference Reviewer / Program Committee Member: ICML 2019-2022, NeurIPS 2019-2022, ICLR 2020-2022, AAAI 2020-2022, IJCAI 2020-2021, KDD 2022, AISTATS 2019-2022, IJCNN 2020-2022, ACML 2019-2021, ICONIP 2019 etc.
  • Journal Reviewer: TPAMI 2021, TNNLS 2020-2022, TIP 2022, TASLP 2022, PR 2020, MLJ 2019-2021, NN 2020, KAIS 2019-2020 etc.
  • Session Chair: ICMLA 2020