4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CV2025
Adversarial Semantic Augmentation for Training Generative Adversarial Networks under Limited Data
Mengping Yang, Zhe Wang, Ziqiu Chi +2
Generative adversarial networks (GANs) have made remarkable achievements in synthesizing images in recent years. Typically, training GANs requires massive data, and the performance…
cs.LG2022★ 4 cited
Subtype-Former: a deep learning approach for cancer subtype discovery with multi-omics data
Hai Yang, Yuhang Sheng, Yi Jiang +4
Motivation: Cancer is heterogeneous, affecting the precise approach to personalized treatment. Accurate subtyping can lead to better survival rates for cancer patients. High-throug…