64 citations · 85 across the 29 of their papers we have counts for
13 papers · 1 filter
Retrieval-Augmented Generation for Mobile Edge Computing via Large Language Model
Runtao Ren, Yinyu Wu, Xuhui Zhang +4
The rapid evolution of mobile edge computing (MEC) has introduced significant challenges in optimizing resource allocation in highly dynamic wireless communication systems, in whic…
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…
Latency Minimization for UAV-Enabled Federated Learning: Trajectory Design and Resource Allocation
Xuhui Zhang, Wenchao Liu, Jinke Ren +4
Federated learning (FL) has become a transformative paradigm for distributed machine learning across wireless networks. However, the performance of FL is often hindered by the unre…
Generative Semantic Communication for Joint Image Transmission and Segmentation
Weiwen Yuan, Jinke Ren, Chongjie Wang +4
Semantic communication has emerged as a promising technology for enhancing communication efficiency. However, most existing research emphasizes single-task reconstruction, neglecti…
From Pretraining to Privacy: Federated Ultrasound Foundation Model with Self-Supervised Learning
Yuncheng Jiang, Chun-Mei Feng, Jinke Ren +15
Ultrasound imaging is widely used in clinical diagnosis due to its non-invasive nature and real-time capabilities. However, traditional ultrasound diagnostics relies heavily on phy…
Generative Semantic Communication for Text-to-Speech Synthesis
Jiahao Zheng, Jinke Ren, Peng Xu +5
Semantic communication is a promising technology to improve communication efficiency by transmitting only the semantic information of the source data. However, traditional semantic…
Energy-Efficient Multi-UAV-Enabled MEC Systems over Space-Air-Ground Integrated Networks
Wenchao Liu, Xuhui Zhang, Chunjie Wang +5
With the development of artificial intelligence integrated next-generation communication networks, mobile users (MUs) are increasingly demanding the efficient processing of computa…
UAV-Enabled Data Collection for IoT Networks via Rainbow Learning
Yingchao Jiao, Xuhui Zhang, Wenchao Liu +5
Unmanned aerial vehicles (UAVs) enabled Internet of things (IoT) systems have become an important part of future wireless communications. To achieve higher communication rate, the…
Latency-Aware Resource Allocation for Mobile Edge Generation and Computing via Deep Reinforcement Learning
Yinyu Wu, Xuhui Zhang, Jinke Ren +3
Recently, the integration of mobile edge computing (MEC) and generative artificial intelligence (GAI) technology has given rise to a new area called mobile edge generation and comp…
Movable-Antenna Array Empowered ISAC Systems for Low-Altitude Economy
Ziming Kuang, Wenchao Liu, Chunjie Wang +4
This paper investigates a movable-antenna (MA) array empowered integrated sensing and communications (ISAC) over low-altitude platform (LAP) system to support low-altitude economy…
UAV-Enabled Wireless Networks with Movable-Antenna Array: Flexible Beamforming and Trajectory Design
Wenchao Liu, Xuhui Zhang, Huijun Xing +3
Recently, movable antenna (MA) array becomes a promising technology for improving the communication quality in wireless communication systems. In this letter, an unmanned aerial ve…
Joint Signal Detection and Automatic Modulation Classification via Deep Learning
Huijun Xing, Xuhui Zhang, Shuo Chang +4
Signal detection and modulation classification are two crucial tasks in various wireless communication systems. Different from prior works that investigate them independently, this…
Instance-free Text to Point Cloud Localization with Relative Position Awareness
Lichao Wang, Zhihao Yuan, Jinke Ren +2
Text-to-point-cloud cross-modal localization is an emerging vision-language task critical for future robot-human collaboration. It seeks to localize a position from a city-scale po…