35 citations · 73 across the 14 of their papers we have counts for
4 papers · 1 filter
Synesthesia of Machines (SoM)-Empowered Wireless Image Transmission over Complex Dynamic Channel
Haozhen Li, Ruide Zhang, Rongqing Zhang +1
Wireless image transmission underpins diverse networked intelligent services and becomes an increasingly critical issue. Existing works have shown that deep learning-based joint so…
Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception
Ensong Liu, Rongqing Zhang, Xiang Cheng +1
Collaborative perception enables more accurate and comprehensive scene understanding by learning how to share information between agents, with LiDAR point clouds providing essentia…
Synesthesia of Machines (SoM)-Based Task-Driven MIMO System for Image Transmission
Sijiang Li, Rongqing Zhang, Xiang Cheng +1
To support cooperative perception (CP) of networked mobile agents in dynamic scenarios, the efficient and robust transmission of sensory data is a critical challenge. Deep learning…
Multi-Modal Fusion-Based Multi-Task Semantic Communication System
Zengle Zhu, Rongqing Zhang, Xiang Cheng +1
In recent years, there has been significant progress in semantic communication systems empowered by deep learning techniques. It has greatly improved the efficiency of information…