3 papers
cs.LG2020
ErGAN: Generative Adversarial Networks for Entity Resolution
Jingyu Shao, Qing Wang, Asiri Wijesinghe +1
Entity resolution targets at identifying records that represent the same real-world entity from one or more datasets. A major challenge in learning-based entity resolution is how t…
cs.LG2019
Learning to Sample: an Active Learning Framework
Jingyu Shao, Qing Wang, Fangbing Liu
Meta-learning algorithms for active learning are emerging as a promising paradigm for learning the ``best'' active learning strategy. However, current learning-based active learnin…
cs.DB2018
Skyblocking for Entity Resolution
Jingyu Shao, Qing Wang, Yu Lin
In this paper, for the first time, we introduce the concept of skyblocking, which aims to efficiently identify the "most preferred" blocking scheme in terms of a given set of selec…