2 citations · 3 across the 15 of their papers we have counts for
16 papers
Near-Field Beamforming Design for Multi-IRS Wireless Beam Routing
Tao Wang, Changsheng You, Changchuan Yin
This letter investigates efficient near-field beamforming designs for wireless communication systems aided by multiple extremely large-scale intelligent reflecting surfaces (Multi-…
Communication-Efficient Digital-Twin Coordination for Heterogeneous LLM Embodied Agents over Computing Power Networks
Nuocheng Yang, Sihua Wang, Zihan Chen +2
Embodied agent teams powered by heterogeneous large language models (LLMs) are being widely deployed in physical artificial intelligence such as smart factories, warehouses, and se…
A Query-Driven Communication-Efficient Digital Twins Design for Autonomous Driving
Nuocheng Yang, Longyu Zhou, Sihua Wang +2
Digital twins (DTs) have become a potential technology to perform risk-free simulation of physical entities for deterministic and high-reliability services in diverse scenarios suc…
Priority-Aware Learning-Unlearning Correction for Dynamic Decentralized LoRA Fine-Tuning
Nuocheng Yang, Yechen He, Sihua Wang +3
As large language models (LLMs) are increasingly deployed at the network edge to provide pervasive generative AI services, decentralized federated learning (DFL) provides a vital m…
Recursive Vision Transformer with Dynamic Depth and Width Adjustment for Resource-Efficient Image Semantic Communication
Zhilong Zhang, Xinhui Zhang, Gongyu Jin +3
Image semantic communication is a critical component in next-generation wireless communication systems. However, such systems typically suffer from large memory footprints and high…
Wireless Federated Multi-Task LLM Fine-Tuning via Sparse-and-Orthogonal LoRA
Nuocheng Yang, Sihua Wang, Ouwen Huan +3
Decentralized federated learning (DFL) based on low-rank adaptation (LoRA) enables mobile devices with multi-task datasets to collaboratively fine-tune a large language model (LLM)…
A Secure and Private Distributed Bayesian Federated Learning Design
Nuocheng Yang, Sihua Wang, Zhaohui Yang +3
Distributed Federated Learning (DFL) enables decentralized model training across large-scale systems without a central parameter server. However, DFL faces three critical challenge…
A Secure Semantic Communication System Based on Knowledge Graph
Qin Guo, Haonan Tong, Sihua Wang +3
This study proposes a novel approach to ensure the security of textual data transmission in a semantic communication system. In the proposed system, a sender transmits textual info…
Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication
Zehao Chen, Xinfeng Wei, Haonan Tong +2
Semantic communication is proposed and expected to improve the efficiency of massive data transmission over sixth generation (6G) networks. However, existing image semantic communi…
Continual Reinforcement Learning for Digital Twin Synchronization Optimization
Haonan Tong, Mingzhe Chen, Jun Zhao +4
This article investigates the adaptive resource allocation scheme for digital twin (DT) synchronization optimization over dynamic wireless networks. In our considered model, a base…
Multimodal Semantic Communication for Generative Audio-Driven Video Conferencing
Haonan Tong, Haopeng Li, Hongyang Du +3
This paper studies an efficient multimodal data communication scheme for video conferencing. In our considered system, a speaker gives a talk to the audiences, with talking head vi…
Language-oriented Semantic Communication for Image Transmission with Fine-Tuned Diffusion Model
Xinfeng Wei, Haonan Tong, Nuocheng Yang +1
Ubiquitous image transmission in emerging applications brings huge overheads to limited wireless resources. Since that text has the characteristic of conveying a large amount of in…
Video Semantic Communication with Major Object Extraction and Contextual Video Encoding
Haopeng Li, Haonan Tong, Sihua Wang +3
This paper studies an end-to-end video semantic communication system for massive communication. In the considered system, the transmitter must continuously send the video to the re…
Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking
Yujiao Zhu, Mingzhe Chen, Sihua Wang +3
In this paper, the problem of using one active unmanned aerial vehicle (UAV) and four passive UAVs to localize a 3D target UAV in real time is investigated. In the considered model…
Importance-Aware Image Segmentation-based Semantic Communication for Autonomous Driving
Jie Lv, Haonan Tong, Qiang Pan +4
This article studies the problem of image segmentation-based semantic communication in autonomous driving. In real traffic scenes, detecting the key objects (e.g., vehicles, pedest…
Attention-based UNet enabled Lightweight Image Semantic Communication System over Internet of Things
Guoxin Ma, Haonan Tong, Nuocheng Yang +1
This paper studies the problem of the lightweight image semantic communication system that is deployed on Internet of Things (IoT) devices. In the considered system model, devices…