2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
FragmGAN: Generative Adversarial Nets for Fragmentary Data Imputation and Prediction
Fang Fang, Shenliao Bao
Modern scientific research and applications very often encounter "fragmentary data" which brings big challenges to imputation and prediction. By leveraging the structure of respons…
stat.ML2021
Optimal Model Averaging of Support Vector Machines in Diverging Model Spaces
Chaoxia Yuan, Chao Ying, Zhou Yu +1
Support vector machine (SVM) is a powerful classification method that has achieved great success in many fields. Since its performance can be seriously impaired by redundant covari…
cs.CV2021
SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse Learning
Ali Syed Saqlain, Li-Yun Wang, Fang Fang
In this paper, we introduce an end-to-end generative adversarial network (GAN) based on sparse learning for single image blind motion deblurring, which we called SL-CycleGAN. For t…