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.
I am working on the following topics now:
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]
