21 citations · 71 across the 37 of their papers we have counts for
10 papers · 1 filter
Task-Oriented Communication for Human Action Understanding via Edge-Cloud Co-Inference
Jingyi Liu, Cheng Yuan, Lijun He +2
The expanding application of smart sensing has created a growing demand for the accurate understanding of human action at the network edge. Traditional approaches require massive v…
WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks
Jingwen Tong, Wei Guo, Jiawei Shao +4
The rapid evolution of wireless networks presents unprecedented challenges in managing complex and dynamic systems. Existing methods are increasingly facing fundamental limitations…
Task-Oriented Feature Compression for Multimodal Understanding via Device-Edge Co-Inference
Cheng Yuan, Zhening Liu, Jiashu Lv +4
With the rapid development of large multimodal models (LMMs), multimodal understanding applications are emerging. As most LMM inference requests originate from edge devices with li…
AI Flow at the Network Edge
Jiawei Shao, Xuelong Li
Recent advancements in large language models (LLMs) and their multimodal variants have led to remarkable progress across various domains, demonstrating impressive capabilities and…
Task-Oriented Communication for Vehicle-to-Infrastructure Cooperative Perception
Jiawei Shao, Teng Li, Jun Zhang
Vehicle-to-infrastructure (V2I) cooperative perception plays a crucial role in autonomous driving scenarios. Despite its potential to improve perception accuracy and robustness, th…
Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck
Hongru Li, Jiawei Shao, Hengtao He +3
Task-oriented communication aims to extract and transmit task-relevant information to significantly reduce the communication overhead and transmission latency. However, the unpredi…
Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework
Hongru Li, Wentao Yu, Hengtao He +4
Task-oriented communication is an emerging paradigm for next-generation communication networks, which extracts and transmits task-relevant information, instead of raw data, for dow…
Task-Oriented Communication for Edge Video Analytics
Jiawei Shao, Xinjie Zhang, Jun Zhang
With the development of artificial intelligence (AI) techniques and the increasing popularity of camera-equipped devices, many edge video analytics applications are emerging, calli…
Task-Oriented Communication for Multi-Device Cooperative Edge Inference
Jiawei Shao, Yuyi Mao, Jun Zhang
This paper investigates task-oriented communication for multi-device cooperative edge inference, where a group of distributed low-end edge devices transmit the extracted features o…
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach
Jiawei Shao, Yuyi Mao, Jun Zhang
This paper investigates task-oriented communication for edge inference, where a low-end edge device transmits the extracted feature vector of a local data sample to a powerful edge…