79 citations · 139 across the 6 of their papers we have counts for
6 papers
Attention-based Adversarial Robust Distillation in Radio Signal Classifications for Low-Power IoT Devices
Lu Zhang, Sangarapillai Lambotharan, Gan Zheng +3
Due to great success of transformers in many applications such as natural language processing and computer vision, transformers have been successfully applied in automatic modulati…
A Hybrid Training-time and Run-time Defense Against Adversarial Attacks in Modulation Classification
Lu Zhang, Sangarapillai Lambotharan, Gan Zheng +3
Motivated by the superior performance of deep learning in many applications including computer vision and natural language processing, several recent studies have focused on applyi…
Hyper-Parameter Auto-Tuning for Sparse Bayesian Learning
Dawei Gao, Qinghua Guo, Ming Jin +2
Choosing the values of hyper-parameters in sparse Bayesian learning (SBL) can significantly impact performance. However, the hyper-parameters are normally tuned manually, which is…
Signal Detection in MIMO Systems with Hardware Imperfections: Message Passing on Neural Networks
Dawei Gao, Qinghua Guo, Guisheng Liao +4
In this paper, we investigate signal detection in multiple-input-multiple-output (MIMO) communication systems with hardware impairments, such as power amplifier nonlinearity and in…
Model-aided Deep Neural Network for Source Number Detection
Yuwen Yang, Feifei Gao, Cheng Qian +1
Source number detection is a critical problem in array signal processing. Conventional model-driven methods e.g., Akaikes information criterion (AIC) and minimum description length…
Robust OFDM integrated radar and communications waveform design based on information theory
Yongjun Liu, Guisheng Liao, Zhiwei Yang
An integrated radar and communications system (IRCS) where a monostatic radar transceiver is employed for target classification while simultaneously used as a communications transm…