4 papers · 1 filter
Lightweight Adaptive Feature Composition for Heterogeneous Downstream Adaptation of Wireless Foundation Models
Yuxuan Shi, Tingting Yang, Li Sun +4
Mobile systems increasingly rely on heterogeneous learning-enabled wireless functions, for which separate taskspecific models incur redundant training and model-management overhead…
WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication
Tingting Yang, Ping Zhang, Mengfan Zheng +4
This paper introduces WirelessGPT, a pioneering foundation model specifically designed for multi-task learning in wireless communication and sensing. Specifically, WirelessGPT leve…
Learnable Residual-Based Latent Denoising in Semantic Communication
Mingkai Xu, Yongpeng Wu, Yuxuan Shi +3
A latent denoising semantic communication (SemCom) framework is proposed for robust image transmission over noisy channels. By incorporating a learnable latent denoiser into the re…
Communication-Efficient Framework for Distributed Image Semantic Wireless Transmission
Bingyan Xie, Yongpeng Wu, Yuxuan Shi +2
Multi-node communication, which refers to the interaction among multiple devices, has attracted lots of attention in many Internet-of-Things (IoT) scenarios. However, its huge amou…