3 citations · 3 across the 6 of their papers we have counts for
9 papers
SoM-MTM: Synesthesia of Machines (SoM)-Driven Masked Token Model for Cooperative Perception over Packet Loss Channel
Haozhen Li, Rongqing Zhang, Xiang Cheng
To support the large-scale and heterogeneous visual cooperative perception (CP) demands in next-generation mobile networks, intelligent and efficient sensory data transmission is a…
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…
AirFogSim: A Light-Weight and Modular Simulator for UAV-Integrated Vehicular Fog Computing
Zhiwei Wei, Chenran Huang, Bing Li +4
Vehicular Fog Computing (VFC) is significantly enhancing the efficiency, safety, and computational capabilities of Intelligent Transportation Systems (ITS), and the integration of…
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…