56 citations · 225 across the 20 of their papers we have counts for
22 papers
Beyond Token Accuracy: Prioritizing What Matters for Visual Reconstruction
Zhicheng Liu, Zhouxiang Zhao, Chenliang Wu +2
Tokens have become a unified interface for multimodal foundation models, making visual-token communication a natural paradigm for efficient image delivery. However, existing method…
Joint Movement and Compression Ratio Design for Mobile Embodied AI Networks (MEAN)
Yahao Ding, Jiaxiang Wang, Zhouxiang Zhao +3
Mobile embodied AI networks (MEAN) enable embodied agents to perceive, reason, communicate, and act in wireless environments. In such networks, agent mobility can improve channel c…
Federated Unlearning Over Wireless Networks
Yixuan Chen, Zhouxiang Zhao, Wei Xu +2
To comply with stringent data privacy regulations, federated unlearning (FU) has emerged as a critical paradigm. However, its implementation over wireless networks introduces sever…
Joint Communication and Computation Design for Mobile Embodied AI Network (MEAN)
Chenliang Wu, Zhouxiang Zhao, Jiaxiang Wang +4
This letter investigates the problem of energy efficient collaborative strategy for mobile embodied artificial intelligence network (MEAN) over wireless communication. In the consi…
Digital Twin Synchronization Over Mobile Embodied AI Network With Agentic Intelligence
Zhouxiang Zhao, Jiaxiang Wang, Yahao Ding +6
Efficient digital twin (DT) synchronization relies on maintaining high-fidelity virtual representations with minimal age of information (AoI). However, the synergistic potential of…
Split and Aggregation Learning for Foundation Models Over Mobile Embodied AI Network (MEAN): A Comprehensive Survey
Qianzhou Chen, Siqi Sun, Minrui Xu +6
The rapid advancements in foundation models and sixth-generation (6G) wireless communication systems necessitate the development of efficient, scalable, and privacy-preserving mach…
Semantic Feature Multiple Access Empowered Integrated Learning and Communication Networks
Jiaxiang Wang, Zhouxiang Zhao, Yahao Ding +4
Integrated learning and communication (ILAC) unifies learned transceivers with radio resource management, where semantic feature multiple access (SFMA) enables paired users to supe…
Agentic AI-Empowered Wireless Agent Networks With Semantic-Aware Collaboration via ILAC
Zhouxiang Zhao, Jiaxiang Wang, Zhaohui Yang +4
The rapid development of agentic artificial intelligence (AI) is driving future wireless networks to evolve from passive data pipes into intelligent collaborative ecosystems under…
Energy-Efficient Probabilistic Semantic Communication Over Visible Light Networks With Rate Splitting
Zhouxiang Zhao, Zhaohui Yang, Chen Zhu +2
Visible light communication (VLC) is emerging as a key technology for future wireless communication systems due to its unique physical-layer advantages over traditional radio-frequ…
Agentic AI for Low-Altitude Semantic Wireless Networks: An Energy Efficient Design
Zhouxiang Zhao, Ran Yi, Yihan Cang +5
This letter addresses the energy efficiency issue in unmanned aerial vehicle (UAV)-assisted autonomous systems. We propose a framework for an agentic artificial intelligence (AI)-p…
Scene Graph-Aided Probabilistic Semantic Communication for Image Transmission
Chen Zhu, Siyun Liang, Zhouxiang Zhao +4
Semantic communication emphasizes the transmission of meaning rather than raw symbols. It offers a promising solution to alleviate network congestion and improve transmission effic…
Semantic-Aware Visual Information Transmission With Key Information Extraction Over Wireless Networks
Chen Zhu, Kang Liang, Jianrong Bao +4
The advent of 6G networks demands unprecedented levels of intelligence, adaptability, and efficiency to address challenges such as ultra-high-speed data transmission, ultra-low lat…
Fair Resource Allocation for Probabilistic Semantic Communication in IIoT
Siyun Liang, Zhouxiang Zhao, Chen Zhu +4
In this paper, the problem of minimum rate maximization for probabilistic semantic communication (PSCom) in industrial Internet of Things (IIoT) is investigated. In the considered…
Energy-Efficient Probabilistic Semantic Communication over Space-Air-Ground Integrated Networks
Zhouxiang Zhao, Zhaohui Yang, Mingzhe Chen +3
Space-air-ground integrated networks (SAGINs) are emerging as a pivotal element in the evolution of future wireless networks. Despite their potential, the joint design of communica…
A Joint Communication and Computation Design for Distributed RISs Assisted Probabilistic Semantic Communication in IIoT
Zhouxiang Zhao, Zhaohui Yang, Chongwen Huang +5
In this paper, the problem of spectral-efficient communication and computation resource allocation for distributed reconfigurable intelligent surfaces (RISs) assisted probabilistic…
Resource Allocation for Green Probabilistic Semantic Communication with Rate Splitting
Ruopeng Xu, Zhaohui Yang, Zhouxiang Zhao +2
In this paper, the energy efficient design for probabilistic semantic communication (PSC) system with rate splitting multiple access (RSMA) is investigated. Basic principles are fi…
Probabilistic Semantic Communication over Wireless Networks with Rate Splitting
Zhouxiang Zhao, Zhaohui Yang, Ye Hu +3
In this paper, the problem of joint transmission and computation resource allocation for probabilistic semantic communication (PSC) system with rate splitting multiple access (RSMA…
A Joint Communication and Computation Design for Probabilistic Semantic Communications
Zhouxiang Zhao, Zhaohui Yang, Mingzhe Chen +2
In this paper, the problem of joint transmission and computation resource allocation for a multi-user probabilistic semantic communication (PSC) network is investigated. In the con…
A Joint Communication and Computation Design for Semantic Wireless Communication with Probability Graph
Zhouxiang Zhao, Zhaohui Yang, Xu Gan +4
In this paper, we delve into the challenge of optimizing joint communication and computation for semantic communication over wireless networks using a probability graph framework.…
Robust Target Detection of Intelligent Integrated Optical Camera and mmWave Radar System
Chen Zhu, Zhouxiang Zhao, Zejing Shan +4
Target detection is pivotal for modern urban computing applications. While image-based techniques are widely adopted, they falter under challenging environmental conditions such as…
Semantic Communication with Probability Graph: A Joint Communication and Computation Design
Zhouxiang Zhao, Zhaohui Yang, Quoc-Viet Pham +2
In this paper, we present a probability graph-based semantic information compression system for scenarios where the base station (BS) and the user share common background knowledge…
Semantic Information Extraction for Text Data with Probability Graph
Zhouxiang Zhao, Zhaohui Yang, Ye Hu +2
In this paper, the problem of semantic information extraction for resource constrained text data transmission is studied. In the considered model, a sequence of text data need to b…