9 citations · 15 across the 5 of their papers we have counts for
4 papers
ASGNN: Graph Neural Networks with Adaptive Structure
Zepeng Zhang, Songtao Lu, Zengfeng Huang +1
The graph neural network (GNN) models have presented impressive achievements in numerous machine learning tasks. However, many existing GNN models are shown to be vulnerable to adv…
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition
Yihong Dong, Ying Peng, Muqiao Yang +2
Deep neural networks have been shown as a class of useful tools for addressing signal recognition issues in recent years, especially for identifying the nonlinear feature structure…
Robust Beamforming Design for Covert Communications
Shuai Ma, Yunqi Zhang, Hang Li +4
In this paper, we consider a common unicast beamforming network where Alice utilizes the communication to Carol as a cover and covertly transmits a message to Bob without being rec…
Federated Acoustic Modeling For Automatic Speech Recognition
Xiaodong Cui, Songtao Lu, Brian Kingsbury
Data privacy and protection is a crucial issue for any automatic speech recognition (ASR) service provider when dealing with clients. In this paper, we investigate federated acoust…