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ywangcy AT connect.ust.hk

Yaqing Wang (王雅晴)

Staff Researcher, Baidu Research

I obtained my Ph.D degree in the Department of Computer Science and Engineering (CSE), Hong Kong University of Science and Technology (HKUST), 2019. During my Ph.D study period, I was co-supervised by 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

I am working on the following topics now:

  • Few-shot learning and meta-learning.
  • Natural language processing with knowledge graphs.
  • Biomedical applications.
  • Cold-start recommendation.
  • Sparse and low-rank learning.
Feel free to contact me if you are interested in working with me. We always have positions for highly motivated and talented interns.

Selected Publications

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]

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]

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-MATE for 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]

Working Experience

Selected Awards

Academic Service

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