Illumination variation-resistant network for heart rate measurement by exploring RGB and MSR spaces
Remote photoplethysmography (rPPG) is an essential way of monitoring the physiological indicator heart rate (HR), which has important guiding significance for preventing […]
Semantic Revolution from Communications to Orchestration for 6G: Challenges, Enablers, and Research Directions
In the context of emerging 6G services, the realization of everything-to-everything interactions involving a myriad of physical and digital entities presents a […]
Semantics Alignment Via Split Learning for Resilient Multi-User Semantic Communication
Recent studies on semantic communication commonly rely on neural network (NN) based transceivers such as deep joint source and channel coding (DeepJSCC). […]
Computation Offloading and Quantization Schemes for Federated Satellite-Ground Graph Networks
Satellite-Ground integrated networks (SGINs) are regarded as promising network architecture, which can provide global coverage, large broadband and mega access services for […]
Computation and Privacy Protection for Satellite-Ground Digital Twin Networks
Satellite-ground integrated heterogeneous networks can relieve network congestion, release network resources and provide ubiquitous intelligence services for terrestrial users. Furthermore, digital twin […]
Computation and Privacy Protection for Satellite-Ground Digital Twin Networks
Satellite-ground integrated heterogeneous networks can relieve network congestion, release network resources and provide ubiquitous intelligence services for terrestrial users. Furthermore, digital twin […]
Collaborative Cross System AI
The emerging industrial verticals set new challenges for 5G and beyond systems. Indeed, the heterogeneity of the underlying technologies and the challenging […]
Net-in-AI
Along with the unprecedented development of artificial intelligence (AI), a considerable number of intelligent applications are universally recognized to significantly facilitate the […]
Revealing the Invisible With Model and Data Shrinking for Composite-Database Micro-Expression Recognition
Composite-database micro-expression recognition is attracting increasing attention as it is more practical for real-world applications. Though the composite database provides more sample […]
Intelligent Edge
In this work, we propose a new deep imitation learning (DIL)-driven edge-cloud computation offloading framework for MEC networks. A key objective for […]