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ywangcy AT connect.ust.hk

Yaqing Wang (王雅晴)

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). 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. I am now working at Baidu Research.

Research Interests

My current research topics include:

  • Online learning algorithms.
  • Few-shot learning and zero-shot learning.
  • Scalable convolutional sparse representation learning.
  • Sample-dependent representation learning.
  • Sparse and low-rank learning.
  • Automated machine learning.
  • Spatial temporal data mining.

Recent Publications

[ResearchGate]

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

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 [Link]

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 [Link] [PDF] [Code]

Scalable Online Convolutional Sparse Coding
Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni, IEEE Transactions on Image Processing (TIP), 27(10): 4850-4859, October 2018 [Link] [PDF] [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 [Link] [PDF]

Working Experience

  • Research Intern, 4Paradigm, January 2019 - September 2019

Selected Awards

Academic Service

  • PC Member: AAAI 2020, ICONIP 2019, ACML 2019

  • Conference Reviewer: AISTATS 2019-2020, ICML 2019, NeurIPS 2019, ICLR 2020, IJCAI 2020, IJCNN 2020

  • Journal Reviewer: Machine Learning Journal 2019, International Journal of Data Science and Analytics 2019-2020, Knowledge and Information Systems 2019-2020, IEEE Computational Intelligence Magazine 2019, IEEE Transactions on Neural Networks and Learning Systems 2020