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20232026
most citedResource Optimization for Semantic-Aware Networks with Task Offloading

40 citations · 40 across the 11 of their papers we have counts for

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6 papers · 1 filter

eess.SP2026

Object-Attribute-Relation Model Driven Adaptive Hierarchical Transmission for Multimodal Semantic Communication

Chenxing Li, Yiping Duan, Han Jiao +3

Traditional video coding (VVC, HEVC) prioritizes human visual perception, transmitting substantial texture redundancy that severely hinders machine decision-making under constraine…

eess.SP2025

Joint Semantic-Channel Coding and Modulation for Token Communications

Jingkai Ying, Zhijin Qin, Yulong Feng +2

In recent years, the Transformer architecture has achieved outstanding performance across a wide range of tasks and modalities. Token is the unified input and output representation…

eess.SP2025

Timeliness-Aware Joint Source and Channel Coding for Adaptive Image Transmission

Xiaolei Yang, Zijing Wang, Zhijin Qin +1

Accurate and timely image transmission is critical for emerging time-sensitive applications such as remote sensing in satellite-assisted Internet of Things. However, the bandwidth…

eess.SP2024

Towards Intelligent Communications: Large Model Empowered Semantic Communications

Huiqiang Xie, Zhijin Qin, Xiaoming Tao +1

Deep learning enabled semantic communications have shown great potential to significantly improve transmission efficiency and alleviate spectrum scarcity, by effectively exchanging…

eess.SP2024

A Robust Semantic Communication System for Image

Xiang Peng, Zhijin Qin, Xiaoming Tao +2

Semantic communications have gained significant attention as a promising approach to address the transmission bottleneck, especially with the continuous development of 6G technique…

eess.SP2023★ 40 cited

Resource Optimization for Semantic-Aware Networks with Task Offloading

Zelin Ji, Zhijin Qin, Xiaoming Tao +1

The limited capabilities of user equipment restrict the local implementation of computation-intensive applications. Edge computing, especially the edge intelligence system, enables…