4 papers
CSPMNet: Pareto-Efficient Automatic Modulation Classification With Learnable Complex Subband Phase Motion
Ruixiang Zhang, Zinan Zhou, Yezhuo Zhang +2
Automatic modulation classification (AMC) is an essential technique for noncooperative spectrum monitoring and intelligent wireless receivers. However, practical AMC models must id…
SEI-SHIELD: Robust Specific Emitter Identification Under Label Noise Via Self-Supervised Filtering and Iterative Rescue
Ruixiang Zhang, Zinan Zhou, Yezhuo Zhang +2
Specific Emitter Identification (SEI) provides physical-layer device authentication for wireless communications and Internet of Things (IoT) systems. While deep learning (DL) has s…
Factorized Disentangled Representation Learning for Interpretable Radio Frequency Fingerprint
Yezhuo Zhang, Zinan Zhou, Guangyu Li +1
In response to the rapid growth of Internet of Things (IoT) devices and rising security risks, Radio Frequency Fingerprint (RFF) has become key for device identification and authen…
Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware
Chaoqun Liu, Xuanpeng Li, Chen Gong +1
Traffic prediction is an indispensable component of urban planning and traffic management. Achieving accurate traffic prediction hinges on the ability to capture the potential spat…