Yaqing Wang, HKUST

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), 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

My current research topics include:

Few-shot learning.
Sparse and low-rank learning.
Sample-dependent representation learning.
Natural language processing with knowledge graphs.
Biomedical applications.

Recent Publications

[ResearchGate]

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

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] [Git Repo for FSL Papers]

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), 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

Researcher, Baidu Research, October 2019 - Now

Research Intern, 4Paradigm, January 2019 - September 2019

Research Assistant of Prof. Francis Y. L. Chin, The University of Hong Kong, July 2013 - September 2013

Selected Awards

ICML Travel Award, 2018
Hong Kong PhD Fellowship, 2014-2017
IEEE CIS Outstanding Student-Paper Travel Grants, 2017
Google Excellence Scholarship, 2013
The CCF Outstanding Undergraduate Award, 2013
President Scholarship, Shandong University (top 1 in major), 2013
National Scholarship, Shandong University (top 1 in major), 2011-2013
Outstanding winner of the National English Competition for College Students in the finals, 2013

Academic Service

Senior Program Committee Member: IJCAI 2021

Conference Reviewer / Program Committee Member: AAAI 2020-2021, ACML 2019-2021, AISTATS 2019-2021, ICML 2019, ICONIP 2019, NeurIPS 2019-2020, ICLR 2020-2021, IJCAI 2020-2021, IJCNN 2020-2021

Journal Reviewer: IEEE Transactions on Neural Networks and Learning Systems 2020-2021, Pattern Recognition 2020, Machine Learning Journal 2019-2020, Neural Networks 2020, ACML Journal Track 2019-2020, Applied Mathematical Modelling 2020, IEEE Computational Intelligence Magazine 2019, International Journal of Data Science and Analytics 2019-2020, Knowledge and Information Systems 2019-2020,

Session Chair: ICMLA 2020