most citedExplainable Semantic Federated Learning Enabled Industrial Edge Network for Fire Surveillance

7 citations · 7 across the 3 of their papers we have counts for

collaborators

8 papers

cs.NI2025

A Unified Cloud-Edge-Terminal Framework for Multimodal Integrated Sensing and Communication

Yubo Peng, Luping Xiang, Kun Yang +3

The transition to 6G calls for tightly integrated sensing and communication to support mission-critical services such as autonomous driving, embodied AI, and high-precision telemed…

eess.SP2025

Large Language Model-Driven Distributed Integrated Multimodal Sensing and Semantic Communications

Yubo Peng, Luping Xiang, Bingxin Zhang +1

Traditional single-modal sensing systems-based solely on either radio frequency (RF) or visual data-struggle to cope with the demands of complex and dynamic environments. Furthermo…

cs.LG2025

SIMAC: A Semantic-Driven Integrated Multimodal Sensing And Communication Framework

Yubo Peng, Luping Xiang, Kun Yang +3

Traditional single-modality sensing faces limitations in accuracy and capability, and its decoupled implementation with communication systems increases latency in bandwidth-constra…

cs.CV2025

Semantic Communications with Computer Vision Sensing for Edge Video Transmission

Yubo Peng, Luping Xiang, Kun Yang +2

Despite the widespread adoption of vision sensors in edge applications, such as surveillance, the transmission of video data consumes substantial spectrum resources. Semantic commu…

eess.SP2025

Attention-based UAV Trajectory Optimization for Wireless Power Transfer-assisted IoT Systems

Li Dong, Feibo Jiang, Yubo Peng

Unmanned Aerial Vehicles (UAVs) in Wireless Power Transfer (WPT)-assisted Internet of Things (IoT) systems face the following challenges: limited resources and suboptimal trajector…

cs.LG20247 cited

Explainable Semantic Federated Learning Enabled Industrial Edge Network for Fire Surveillance

Li Dong, Yubo Peng, Feibo Jiang +2

In fire surveillance, Industrial Internet of Things (IIoT) devices require transmitting large monitoring data frequently, which leads to huge consumption of spectrum resources. Hen…