56 citations · 103 across the 14 of their papers we have counts for
15 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…
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…
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…
Fair Rate Maximization for Fluid Antenna Relay (FAR)-assisted Multi-user MISO Communications
Ruopeng Xu, Zhaohui Yang, Ting Zhang +3
In this paper, we investigate the problem of max-min rate maximization in fluid antenna relay (FAR)-assisted multi-user uplink multiple-input single-output (MISO) wireless systems,…
Rate Maximization for Fluid Antenna System Assisted Semantic Communication
Siyun Liang, Chen Zhu, Zhaohui Yang +4
In this paper, we investigate the problem of rate maximization in a fluid antenna system (FAS) assisted semantic communication system. In the considered model, a base station (BS)…
A New Pathway to Integrated Learning and Communication (ILAC): Large AI Model and Hyperdimensional Computing for Communication
Wei Xu, Zhaohui Yang, Derrick Wing Kwan Ng +4
The rapid evolution of forthcoming sixth-generation (6G) wireless networks necessitates the seamless integration of artificial intelligence (AI) with wireless communications to sup…
Efficient Split Federated Learning for Large Language Models over Communication Networks
Kai Zhao, Zhaohui Yang, Ye Hu +3
Fine-tuning pre-trained large language models (LLMs) in a distributed manner poses significant challenges on resource-constrained edge networks. To address this challenge, we propo…
Semantic Communication for Efficient Point Cloud Transmission
Shangzhuo Xie, Qianqian Yang, Yuyi Sun +3
As three-dimensional acquisition technologies like LiDAR cameras advance, the need for efficient transmission of 3D point clouds is becoming increasingly important. In this paper,…
Green Probabilistic Semantic Communication over Wireless Networks
Ruopeng Xu, Zhaohui Yang, Yijie Mao +5
In this paper, we propose a multi-user green semantic communication system facilitated by a probabilistic knowledge graph (PKG). By integrating probability into the knowledge graph…
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…
Unlocking Potentials of Near-Field Propagation: ELAA-Empowered Integrated Sensing and Communication
Zhenyao He, Wei Xu, Zhaohui Yang +5
The exploration of extremely large antenna arrays (ELAAs) using high-frequency spectrum has led to a paradigm shift in electromagnetic radiation field, transitioning from the commo…
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…
Minimizing End-to-End Latency for Joint Source-Channel Coding Systems
Kaiyi Chi, Qianqian Yang, Yuanchao Shu +2
While existing studies have highlighted the advantages of deep learning (DL)-based joint source-channel coding (JSCC) schemes in enhancing transmission efficiency, they often overl…
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…
Adaptive Resource Allocation for Semantic Communication Networks
Lingyi Wang, Wei Wu, Fuhui Zhou +2
Semantic communication, recognized as a promising technology for future intelligent applications, has received widespread research attention. Despite the potential of semantic comm…