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Author

Xiao-Dong Xu

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#graph neural networks Nov 2026

Distributed Intelligence Enabled Multi-Vehicle Collaborative Perception: Latency-Accuracy-Stability Trade-Offs

Multi-vehicle collaborative perception (MvCP) is a promising paradigm to enhance the capability of autonomous driving (AD). However, meeting the low latency and high accuracy requirements in a distributed, dynamic, and heterogeneous vehicular network is challenging. In this paper, we formulate a distributed framework e...

Wen-Zhao Zhang, Shu-Jun Han, Xiao-Dong Xu et al. · 0 citations
2026

Robust Image Semantic Communication Based on Atrous Semantic Convolution and Adaptive Masking

Typical wireless image transmission systems and deep joint source-channel coding frameworks often suffer from the “cliff effect” and feature homogeneity under adverse channel conditions. To address these limitations, we propose a robust image semantic communication system with semantic awareness and adaptive masking. S...

Xu-Chao Teng, Zhi-Quan Bai, Jia-Xin Yang et al. · 0 citations
2026

Adaptive Task-Oriented Semantic Communication for UAVs With Joint Trajectory and Resource Optimization

The transmission of large-volume sensed images during uncrewed aerial vehicle (UAV) inspections poses significant challenges due to the UAV’s limited bandwidth and energy constraints. This paper proposes a UAV-adaptive task-oriented semantic communication (UA-TSC) framework for low-altitude inspection tasks, which extr...

An-Ning Zhao, Meng-Ying Sun, Xiao-Dong Xu et al. · 0 citations
Open access Sep 2026

Multi-Stream Spatiotemporal Channel Coding for MIMO Systems: Transmission Scheme Design and Achievable Rate Optimization

A multi-stream over multi-subchannel STCC (STCC-MSC) under full channel state information assumption is proposed and optimizes its achievable rate in the finite blocklength regime and a penalized alternating convex approximation (PACA) algorithm is proposed to solve this problem.

Liang Jin, Xiao-Dong Xu, Shu-Jun Han et al. · 0 citations
Open access Aug 2026

Towards Semantic Internet of Everything in the Age of Agentic AI

The results demonstrate the feasibility of decoupling service objectives from fixed communication implementations and also highlight key open challenges, including semantic SLA design, capability interoperability, scalable planning, and trustworthy execution.

Da-Yu Fan, Rui Meng, Yun-Fei Liu et al. · 0 citations

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