64 citations · 232 across the 12 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2019★ 3 cited
Semi-supervised Learning using Adversarial Training with Good and Bad Samples
Wenyuan Li, Zichen Wang, Yuguang Yue +4
In this work, we investigate semi-supervised learning (SSL) for image classification using adversarial training. Previous results have illustrated that generative adversarial netwo…
cs.LG2019★ 16 cited
Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach
Wenyuan Li, Zichen Wang, Jiayun Li +3
Recently, semi-supervised learning methods based on generative adversarial networks (GANs) have received much attention. Among them, two distinct approaches have achieved competiti…
cs.LG2018★ 17 cited
Semi-supervised Rare Disease Detection Using Generative Adversarial Network
Wenyuan Li, Yunlong Wang, Yong Cai +3
Rare diseases affect a relatively small number of people, which limits investment in research for treatments and cures. Developing an efficient method for rare disease detection is…