39 citations · 40 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions
Ayan Chakrabarti, Jingyu Shao, Gregory Shakhnarovich
A single color image can contain many cues informative towards different aspects of local geometric structure. We approach the problem of monocular depth estimation by using a neur…