1 citations · 3 across the 18 of their papers we have counts for
18 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…
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…
STCC: A Unified Source-Channel Semantic Token Coding Framework for Semantic Communications
Zhicheng Bao, Chen Dong, Sen Wang +6
Deep Joint Source-Channel Coding (JSCC) has emerged as a promising paradigm for overcoming the ``cliff effect" in wireless communications. However, existing Deep JSCC frameworks op…
Operator structure of power corrections and anomalous scaling in energy correlators
Hao Chen, Yibei Li
Energy correlators offer a clean probe of quantum chromodynamics, serving as an ideal laboratory to rigorously investigate non-perturbative power corrections. The recent discovery…
Generative Channel Knowledge Base With Environmental Information for Joint Source-Channel Coding in Semantic Communications
Xudong Long, Hao Chen, Dan Wang +4
Semantic knowledge bases are regarded as a promising technology for upcoming 6G communications. However, existing studies mainly focus on source-side semantic modeling while overlo…
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-…
VQ-VAE Based Digital Semantic Communication with Importance-Aware OFDM Transmission
Ming Lyu, Hao Chen, Dan Wang +4
Semantic communication (SemCom) significantly reduces redundant data and improves transmission efficiency by extracting the latent features of information. However, most of the con…
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…
Reference Signal-Based Waveform Design for Integrated Sensing and Communications System
Ming Lyu, Hao Chen, Dan Wang +3
Integrated sensing and communications (ISAC) as one of the key technologies is capable of supporting high-speed communication and high-precision sensing for the upcoming 6G. This p…
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…
Semantic Model Component Implementation for Model-driven Semantic Communications
Haotai Liang, Mengran Shi, Chen Dong +3
The key feature of model-driven semantic communication is the propagation of the model. The semantic model component (SMC) is designed to drive the intelligent model to transmit in…
Receiver Selection and Transmit Beamforming for Multi-static Integrated Sensing and Communications
Dan Wang, Yuanming Tian, Chuan Huang +3
Next-generation wireless networks are expected to develop a novel paradigm of integrated sensing and communications (ISAC) to enable both the high-accuracy sensing and high-speed c…
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…
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…
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…