1 citations · 3 across the 21 of their papers we have counts for
22 papers
LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design
Wen Wang, Yaping Sun, Yejun He +5
Vision-radar fusion is central to robust autonomous driving, combining dense visual semantics with precise range and velocity measurements from radar. However, real-world fusion qu…
SIDMA: Semantic Interleave Division Multiple Access Communication System
Yunlu Wang, Chen Dong, Sen Wang +4
Multiple Access (MA) technology has consistently served as the core driving force behind the evolution of mobile communications. As a promising paradigm for next-generation communi…
Evolving Intelligent Complex Systems via Intellicise Networks: Architecture, Technologies, and Pathways
Ping Zhang, Rui Meng, Xiaodong Xu +23
Future engineering infrastructures are evolving into large-scale, open, heterogeneous, and wirelessly interconnected complex systems. These systems present significant challenges i…
SA-RA-JSCC: SNR-Adaptive and Semantic-Rate-Aware Joint Source-Channel Coding
Shitong Zhang, Yaping Sun, Hao Chen +4
In joint source-channel coding (JSCC)-based semantic communication systems, achieving stable and reliable image semantic transmission under channel constraints remains a key challe…
-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference
Rui Bao, Yaping Sun, Zhiyong Chen +4
Edge deployments of generative inference increasingly face two practical realities: per-device per-model performance is often unknown at deployment time, and it is non-stationary d…
Unlocking High-Fidelity Analog Joint Source-Channel Coding on Standard Digital Transceivers
Shumin Yao, Hao Chen, Yaping Sun +4
Analog joint source-channel coding (JSCC) has demonstrated superior performance for semantic communications through graceful degradation across channel conditions. However, a funda…
Zero-Shot Knowledge Base Resizing for Rate-Adaptive Digital Semantic Communication
Shumin Yao, Hui Du, Lifeng Xie +4
Digital semantic communication systems, which often leverage the Vector Quantized Variational Autoencoder (VQ-VAE) framework, are pivotal for future wireless networks. In a VQ-VAE-…
SCDM: Score-Based Channel Denoising Model for Digital Semantic Communications
Hao Mo, Yaping Sun, Shumin Yao +6
Score-based diffusion models represent a significant variant within the diffusion model family and have seen extensive application in the increasingly popular domain of generative…
Generative Semantic Communication: Architectures, Technologies, and Applications
Jinke Ren, Yaping Sun, Hongyang Du +7
This paper delves into the applications of generative artificial intelligence (GAI) in semantic communication (SemCom) and presents a thorough study. Three popular SemCom systems e…
WDMoE: Wireless Distributed Mixture of Experts for Large Language Models
Nan Xue, Yaping Sun, Zhiyong Chen +6
Large Language Models (LLMs) have achieved significant success in various natural language processing tasks, but the role of wireless networks in supporting LLMs has not been thoro…
Cooperative Semantic Knowledge Base Update Policy for Multiple Semantic Communication Pairs
Shuling Li, Yaping Sun, Jinbei Zhang +4
Semantic communication has emerged as a promising communication paradigm and there have been extensive research focusing on its applications in the increasingly prevalent multi-use…
MambaJSCC: Adaptive Deep Joint Source-Channel Coding with Generalized State Space Model
Tong Wu, Zhiyong Chen, Meixia Tao +4
Lightweight and efficient neural network models for deep joint source-channel coding (JSCC) are crucial for semantic communications. In this paper, we propose a novel JSCC architec…
End-to-End Generative Semantic Communication Powered by Shared Semantic Knowledge Base
Shuling Li, Yaping Sun, Jinbei Zhang +3
Semantic communication has drawn substantial attention as a promising paradigm to achieve effective and intelligent communications. However, efficient image semantic communication…
WDMoE: Wireless Distributed Large Language Models with Mixture of Experts
Nan Xue, Yaping Sun, Zhiyong Chen +5
Large Language Models (LLMs) have achieved significant success in various natural language processing tasks, but how wireless communications can support LLMs has not been extensive…
Codebook-enabled Generative End-to-end Semantic Communication Powered by Transformer
Peigen Ye, Yaping Sun, Shumin Yao +3
Codebook-based generative semantic communication attracts increasing attention, since only indices are required to be transmitted when the codebook is shared between transmitter an…
MMW-Carry: Enhancing Carry Object Detection through Millimeter-Wave Radar-Camera Fusion
Xiangyu Gao, Youchen Luo, Ali Alansari +1
This paper introduces MMW-Carry, a system designed to predict the probability of individuals carrying various objects using millimeter-wave radar signals, complemented by camera in…
Deep Joint Source-Channel Coding for Efficient and Reliable Cross-Technology Communication
Shumin Yao, Xiaodong Xu, Hao Chen +2
Cross-technology communication (CTC) is a promising technique that enables direct communications among incompatible wireless technologies without needing hardware modification. How…
MOC-RVQ: Multilevel Codebook-Assisted Digital Generative Semantic Communication
Yingbin Zhou, Yaping Sun, Guanying Chen +5
Vector quantization-based image semantic communication systems have successfully boosted transmission efficiency, but face challenges with conflicting requirements between codebook…
Learning for Semantic Knowledge Base-Guided Online Feature Transmission in Dynamic Channels
Xiangyu Gao, Yaping Sun, Dongyu Wei +4
With the proliferation of edge computing, efficient AI inference on edge devices has become essential for intelligent applications such as autonomous vehicles and VR/AR. In this co…
Knowledge Base Enabled Semantic Communication: A Generative Perspective
Jinke Ren, Zezhong Zhang, Jie Xu +4
Semantic communication is widely touted as a key technology for propelling the sixth-generation (6G) wireless networks. However, providing effective semantic representation is quit…
Joint Computing, Pushing, and Caching Optimization for Mobile Edge Computing Networks via Soft Actor-Critic Learning
Xiangyu Gao, Yaping Sun, Hao Chen +2
Mobile edge computing (MEC) networks bring computing and storage capabilities closer to edge devices, which reduces latency and improves network performance. However, to further re…
Zero-shot Multi-level Feature Transmission Policy Powered by Semantic Knowledge Base
Yaping Sun, Hao Chen, Xiaodong Xu +2
Remote zero-shot object recognition, i.e., offloading zero-shot object recognition task from one mobile device to remote mobile edge computing (MEC) server or another mobile device…