19 citations · 31 across the 4 of their papers we have counts for
4 papers
CKGAN: Training Generative Adversarial Networks Using Characteristic Kernel Integral Probability Metrics
Kuntian Zhang, Simin Yu, Yaoshu Wang +2
In this paper, we propose CKGAN, a novel generative adversarial network (GAN) variant based on an integral probability metrics framework with characteristic kernel (CKIPM). CKIPM,…
BClean: A Bayesian Data Cleaning System
Jianbin Qin, Sifan Huang, Yaoshu Wang +6
There is a considerable body of work on data cleaning which employs various principles to rectify erroneous data and transform a dirty dataset into a cleaner one. One of prevalent…
Consistent and Flexible Selectivity Estimation for High-Dimensional Data
Yaoshu Wang, Chuan Xiao, Jianbin Qin +5
Selectivity estimation aims at estimating the number of database objects that satisfy a selection criterion. Answering this problem accurately and efficiently is essential to many…
Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach
Yaoshu Wang, Chuan Xiao, Jianbin Qin +4
Due to the outstanding capability of capturing underlying data distributions, deep learning techniques have been recently utilized for a series of traditional database problems. In…