ywangcy AT

Yaqing Wang (王雅晴)

PhD candidate, CSE, HKUST, Hong Kong

I am currently a fourth-year PhD candidate in the Department of Computer Science and Engineering (CSE), Hong Kong University of Science and Technology (HKUST). I am 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.

Research Interests

My current research topics include:

  • Online learning algorithms.
  • Scalable convolutional sparse coding.
  • Sample-dependent representation learning.
  • Few-shot learning and zero-shot learning.

Recent Publications

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

Selected Awards

Academic Service

  • Reviewer: AISTATS 2019, ICML 2019