11 citations · 12 across the 18 of their papers we have counts for
18 papers
Selective Depthwise Separable Convolution for Lightweight Joint Source-Channel Coding in Wireless Image Transmission
Ming Ye, Kui Cai, Cunhua Pan +3
Depthwise separable convolutional (DSConv) layers have been successfully applied to deep learning (DL)-based joint source-channel coding (JSCC) schemes to reduce computational comp…
U-Net-Based Generative Joint Source-Channel Coding for Wireless Image Transmission
Ming Ye, Kui Cai, Cunhua Pan +4
Deep learning (DL)-based joint source-channel coding (JSCC) methods have achieved remarkable success in wireless image transmission. However, these methods either focus on conventi…
Enhancing Mega-Satellite Networks with Generative Semantic Communication: A Networking Perspective
Binquan Guo, Wanting Yang, Zehui Xiong +5
The advance of direct satellite-to-device communication has positioned mega-satellite constellations as a cornerstone of 6G wireless communication, enabling seamless global connect…
Edge-Assisted Collaborative Fine-Tuning for Multi-User Personalized Artificial Intelligence Generated Content (AIGC)
Nan Li, Wanting Yang, Marie Siew +4
Diffusion models (DMs) have emerged as powerful tools for high-quality content generation, yet their intensive computational requirements for inference pose challenges for resource…
Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access
Jiayi Lu, Wanting Yang, Zehui Xiong +4
With the booming development of generative artificial intelligence (GAI), semantic communication (SemCom) has emerged as a new paradigm for reliable and efficient communication. Th…
Channel-adaptive Cross-modal Generative Semantic Communication for Point Cloud Transmission
Wanting Yang, Zehui Xiong, Qianqian Yang +3
With the rapid development of autonomous driving and extended reality, efficient transmission of point clouds (PCs) has become increasingly important. In this context, we propose a…
Efficient Multi-user Offloading of Personalized Diffusion Models: A DRL-Convex Hybrid Solution
Wanting Yang, Zehui Xiong, Song Guo +3
With the impressive generative capabilities of diffusion models, personalized content synthesis has emerged as the most highly anticipated. However, the large model sizes and itera…
Generative AI-Enhanced Multi-Modal Semantic Communication in Internet of Vehicles: System Design and Methodologies
Jiayi Lu, Wanting Yang, Zehui Xiong +4
Vehicle-to-everything (V2X) communication supports numerous tasks, from driving safety to entertainment services. To achieve a holistic view, vehicles are typically equipped with m…
Rethinking Generative Semantic Communication for Multi-User Systems with Large Language Models
Wanting Yang, Zehui Xiong, Shiwen Mao +4
The surge in connected devices in 6G with typical complex tasks requiring multi-user cooperation, such as smart agriculture and smart cities, poses significant challenges to unsust…
FAST: Flexible and Adaptive Semantic Transmission for Resource-constrained Multi-user Generative Semantic Communication
Yiru Wang, Wanting Yang, Fangli Mou +4
The rapid advancement of generative artificial intelligence has spurred innovative approaches to semantic communication, giving rise to a new paradigm known as generative semantic…
Harnessing the Power of AI-Generated Content for Semantic Communication
Yiru Wang, Wanting Yang, Zehui Xiong +3
Semantic Communication (SemCom) is envisaged as the next-generation paradigm to address challenges stemming from the conflicts between the increasing volume of transmission data an…
Streamlined Transmission: A Semantic-Aware XR Deployment Framework Enhanced by Generative AI
Wanting Yang, Zehui Xiong, Tony Q. S. Quek +1
In the era of 6G, featuring compelling visions of digital twins and metaverses, Extended Reality (XR) has emerged as a vital conduit connecting the digital and physical realms, gar…
Agent-driven Generative Semantic Communication with Cross-Modality and Prediction
Wanting Yang, Zehui Xiong, Yanli Yuan +3
In the era of 6G, with compelling visions of intelligent transportation systems and digital twins, remote surveillance is poised to become a ubiquitous practice. Substantial data v…
Semantic Change Driven Generative Semantic Communication Framework
Wanting Yang, Zehui Xiong, Hongyang Du +2
The burgeoning generative artificial intelligence technology offers novel insights into the development of semantic communication (SemCom) frameworks. These frameworks hold the pot…
Task-driven Semantic-aware Green Cooperative Transmission Strategy for Vehicular Networks
Wanting Yang, Xuefen Chi, Linlin Zhao +2
Considering the infrastructure deployment cost and energy consumption, it is unrealistic to provide seamless coverage of the vehicular network. The presence of uncovered areas tend…
STAR-RIS-Assisted Privacy Protection in Semantic Communication System
Yiru Wang, Wanting Yang, Pengxin Guan +2
Semantic communication (SemCom) has emerged as a promising architecture in the realm of intelligent communication paradigms. SemCom involves extracting and compressing the core inf…
Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges
Wanting Yang, Hongyang Du, Ziqin Liew +6
With the increasing demand for intelligent services, the sixth-generation (6G) wireless networks will shift from a traditional architecture that focuses solely on high transmission…
Semantic Communication Meets Edge Intelligence
Wanting Yang, Zi Qin Liew, Wei Yang Bryan Lim +5
The development of emerging applications, such as autonomous transportation systems, are expected to result in an explosive growth in mobile data traffic. As the available spectrum…