1 citations · 1 across the 10 of their papers we have counts for
6 papers · 1 filter
Reading Radio from Camera: Visually-Grounded, Lightweight, and Interpretable RSSI Prediction
Sen Yan, Tianyu Hu, Brahim Mefgouda +2
Accurate, real-time wireless signal prediction is essential for next-generation networks. However, existing vision-based frameworks often rely on computationally intensive models a…
RF-GPT: Teaching AI to See the Wireless World
Hang Zou, Yu Tian, Bohao Wang +4
Large language models (LLMs) and multimodal models have become powerful general-purpose reasoning systems. However, radio-frequency (RF) signals, which underpin wireless systems, a…
Seeing Radio: From Zero RF Priors to Explainable Modulation Recognition with Vision Language Models
Hang Zou, Bohao Wang, Yu Tian +4
Current RF machine-learning pipelines rely on task-specific deep networks for modulation classification and related tasks, but these models require custom architectures and labeled…
Advancing THz Radio Map Construction and Obstacle Sensing: An Integrated Generative Framework in ISAC
Tianyu Hu, Shuai Wang, Yunhang Xie +7
Integrated sensing and communication (ISAC) in the terahertz (THz) band enables obstacle detection, which in turn facilitates efficient beam management to mitigate THz signal block…
Generative AI for RF Sensing in IoT systems
Li Wang, Chao Zhang, Qiyang Zhao +5
The development of wireless sensing technologies, using signals such as Wi-Fi, infrared, and RF to gather environmental data, has significantly advanced within Internet of Things (…
Goal-oriented compression for -norm-type goal functions: Application to power consumption scheduling
Yifei Sun, Hang Zou, Chao Zhang +2
Conventional data compression schemes aim at implementing a trade-off between the rate required to represent the compressed data and the resulting distortion between the original a…