4 citations · 5 across the 11 of their papers we have counts for
11 papers
Structured Spectral Compression based Low-Bitrate Secure Speech Communications for Internet of Things assisted Non-Terrestrial Networks
Li Ping Qian, Zhehan Chen, Qianru Wang +3
This paper focuses on the Low-Bitrate Secure Speech Communications based on the Structured Spectral Compression (LB-S2C2). Specifically, the Mel spectral matrix of the speech signa…
Energy Minimization Oriented Resource Allocation for Integrated Sensing and Communication in Marine IoT Networks
Qianru Wang, Li Ping Qian, Chenglong Dou +2
Integrated sensing and communication (ISAC) has become a promising technical framework for Marine Internet of Things (MIoT) systems. Nevertheless, all devices rely on battery power…
GenED-SC: Generative Editing Semantic Communication with Integrated Multi-Modal LLMs
Shuoyao Wang, Suzhi Bi, Mingze Gong +3
Deep learning-based joint source-channel coding has recently demonstrated strong potential for semantic communication (SemComm). However, most existing approaches focus on optimizi…
Joint Source-Channel-Check Coding with HARQ for Reliable Semantic Communications
Boyuan Li, Shuoyao Wang, Suzhi Bi +2
Semantic communication has emerged as a promising paradigm for improving transmission efficiency and task-level reliability, yet most existing reliability-enhancement approaches re…
Toward Resource-Efficient Collaboration of Large AI Models in Mobile Edge Networks
Peichun Li, Liping Qian, Dusit Niyato +2
The collaboration of large artificial intelligence (AI) models in mobile edge networks has emerged as a promising paradigm to meet the growing demand for intelligent services at th…
Adaptive AI Agent Placement and Migration in Edge Intelligence Systems
Xingdan Wang, Jiayi He, Zhiqing Tang +5
The rise of LLMs such as ChatGPT and Claude fuels the need for AI agents capable of real-time task handling. However, migrating data-intensive, multi-modal edge workloads to cloud…
Scalable Multi-task Edge Sensing via Task-oriented Joint Information Gathering and Broadcast
Huawei Hou, Suzhi Bi, Xian Li +3
The recent advance of edge computing technology enables significant sensing performance improvement of Internet of Things (IoT) networks. In particular, an edge server (ES) is resp…
Digital Semantic Communications: An Alternating Multi-Phase Training Strategy with Mask Attack
Mingze Gong, Shuoyao Wang, Suzhi Bi +2
Semantic communication (SemComm) has emerged as new paradigm shifts.Most existing SemComm systems transmit continuously distributed signals in analog fashion.However, the analog pa…
Deep Image Semantic Communication Model for Artificial Intelligent Internet of Things
Li Ping Qian, Yi Zhang, Sikai Lyu +4
With the rapid development of Artificial Intelligent Internet of Things (AIoT), the image data from AIoT devices has been witnessing the explosive increasing. In this paper, a nove…
Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices
Peichun Li, Hanwen Zhang, Yuan Wu +4
Distributed Artificial Intelligence (AI) model training over mobile edge networks encounters significant challenges due to the data and resource heterogeneity of edge devices. The…
Visualizing Deep Learning-based Radio Modulation Classifier
Liang Huang, You Zhang, Weijian Pan +3
Deep learning has recently been successfully applied in automatic modulation classification by extracting and classifying radio features in an end-to-end way. However, deep learnin…