2 citations · 2 across the 1 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2021★ 2 cited
Inferential Wasserstein Generative Adversarial Networks
Yao Chen, Qingyi Gao, Xiao Wang
Generative Adversarial Networks (GANs) have been impactful on many problems and applications but suffer from unstable training. The Wasserstein GAN (WGAN) leverages the Wasserstein…
stat.ML2016
Local Region Sparse Learning for Image-on-Scalar Regression
Yao Chen, Xiao Wang, Linglong Kong +1
Identification of regions of interest (ROI) associated with certain disease has a great impact on public health. Imposing sparsity of pixel values and extracting active regions sim…