21 citations · 22 across the 3 of their papers we have counts for
3 papers
cs.CV2024
CCDM: Continuous Conditional Diffusion Models for Image Generation
Xin Ding, Yongwei Wang, Kao Zhang +1
Continuous Conditional Generative Modeling (CCGM) estimates high-dimensional data distributions, such as images, conditioned on scalar continuous variables (aka regression labels).…
cs.LG2022★ 1 cited
SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence
Arvin Tashakori, Wenwen Zhang, Z. Jane Wang +1
Recent advances in wearable devices and Internet-of-Things (IoT) have led to massive growth in sensor data generated in edge devices. Labeling such massive data for classification…
cs.LG2019★ 21 cited
Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss
Xin Ding, Z. Jane Wang, William J. Welch
Filtering out unrealistic images from trained generative adversarial networks (GANs) has attracted considerable attention recently. Two density ratio based subsampling methods---Di…