1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.SP2025
ModFus-DM: Explore the Representation in Modulated Signal Diffusion Generated Models
Haoyue Tan, Yu Li, Zhenxi Zhang +2
Automatic modulation classification (AMC) is essential for wireless communication systems in both military and civilian applications. However, existing deep learning-based AMC meth…
cs.CV2024
Towards Satellite Image Road Graph Extraction: A Global-Scale Dataset and A Novel Method
Pan Yin, Kaiyu Li, Xiangyong Cao +5
Recently, road graph extraction has garnered increasing attention due to its crucial role in autonomous driving, navigation, etc. However, accurately and efficiently extracting roa…
cs.LG2021★ 1 cited
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer
Shiye Lei, Zhuozhuo Tu, Leszek Rutkowski +4
Bayesian neural networks (BNNs) have become a principal approach to alleviate overconfident predictions in deep learning, but they often suffer from scaling issues due to a large n…