Li Dong

According to our database, Li Dong authored at least 36 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Attention-Based UAV Trajectory Optimization for Wireless Power Transfer-Assisted IoT Systems.

Li Dong, Feibo Jiang, Yubo Peng

IEEE Trans. Ind. Electron., August, 2025

Visual Language Model-Based Cross-Modal Semantic Communication Systems.

Feibo Jiang, Chuanguo Tang, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan

IEEE Trans. Wirel. Commun., May, 2025

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications.

Feibo Jiang, Cunhua Pan, Li Dong, Kezhi Wang, Octavia A. Dobre, Mérouane Debbah

CoRR, May, 2025

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges.

Feibo Jiang, Cunhua Pan, Li Dong, Kezhi Wang, Mérouane Debbah, Dusit Niyato, Zhu Han

CoRR, May, 2025

LAMBO: Large AI Model Empowered Edge Intelligence.

Li Dong, Feibo Jiang, Yubo Peng, Kezhi Wang, Kun Yang, Cunhua Pan, Robert Schober

IEEE Commun. Mag., April, 2025

Towards Intelligent Transportation with Pedestrians and Vehicles In-the-Loop: A Surveillance Video-Assisted Federated Digital Twin Framework.

Xiaolong Li, Jianhao Wei, Haidong Wang, Li Dong, Ruoyang Chen, Changyan Yi, Jun Cai, Dusit Niyato, Xuemin Shen

CoRR, March, 2025

Deep Progressive Reinforcement Learning-Based Flexible Resource Scheduling Framework for IRS and UAV-Assisted MEC System.

Li Dong, Feibo Jiang, Minjie Wang, Yubo Peng, Xiaolong Li

IEEE Trans. Neural Networks Learn. Syst., February, 2025

CommGPT: A Graph and Retrieval-Augmented Multimodal Communication Foundation Model.

Feibo Jiang, Wanyun Zhu, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan, Octavia A. Dobre

CoRR, February, 2025

Lightweight Vision Model-based Multi-user Semantic Communication Systems.

Feibo Jiang, Siwei Tu, Li Dong, Kezhi Wang, Kun Yang, Ruiqi Liu, Cunhua Pan, Jiangzhou Wang

CoRR, February, 2025

M4SC: An MLLM-based Multi-modal, Multi-task and Multi-user Semantic Communication System.

Feibo Jiang, Siwei Tu, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan

CoRR, February, 2025

Large AI Model Empowered Multimodal Semantic Communications.

Feibo Jiang, Li Dong, Yubo Peng, Kezhi Wang, Kun Yang, Cunhua Pan, Xiaohu You

IEEE Commun. Mag., January, 2025

2024

Large Language Model Enhanced Multi-Agent Systems for 6G Communications.

Feibo Jiang, Yubo Peng, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan, Dusit Niyato, Octavia A. Dobre

IEEE Wirel. Commun., December, 2024

Explainable Semantic Federated Learning Enabled Industrial Edge Network for Fire Surveillance.

Li Dong, Yubo Peng, Feibo Jiang, Kezhi Wang, Kun Yang

IEEE Trans. Ind. Informatics, December, 2024

Dynamic Client Scheduling Enhanced Federated Learning for UAVs.

Yubo Peng, Feibo Jiang, Siwei Tu, Li Dong, Kezhi Wang, Kun Yang

IEEE Wirel. Commun. Lett., July, 2024

Large AI Model-Based Semantic Communications.

Feibo Jiang, Yubo Peng, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan, Xiaohu You

IEEE Wirel. Commun., June, 2024

Large Generative Model-assisted Talking-face Semantic Communication System.

Feibo Jiang, Siwei Tu, Li Dong, Cunhua Pan, Jiangzhou Wang, Xiaohu You

CoRR, 2024

GAI-Enabled Explainable Personalized Federated Semi-Supervised Learning.

Yubo Peng, Feibo Jiang, Li Dong, Kezhi Wang, Kun Yang

CoRR, 2024

Personalized Federated Learning for Generative AI-Assisted Semantic Communications.

Yubo Peng, Feibo Jiang, Li Dong, Kezhi Wang, Kun Yang

CoRR, 2024

Personalized Wireless Federated Learning for Large Language Models.

Feibo Jiang, Li Dong, Siwei Tu, Yubo Peng, Kezhi Wang, Kun Yang, Cunhua Pan, Dusit Niyato

CoRR, 2024

Large Generative Model Assisted 3D Semantic Communication.

Feibo Jiang, Yubo Peng, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan, Xiaohu You

CoRR, 2024

A Spiking Reinforcement Trajectory Planning for UAV-Assisted MEC Systems.

Zeyang Xia, Li Dong, Feibo Jiang

IEEE Access, 2024

2023

MARS: A DRL-Based Multi-Task Resource Scheduling Framework for UAV With IRS-Assisted Mobile Edge Computing System.

Feibo Jiang, Yubo Peng, Kezhi Wang, Li Dong, Kun Yang

IEEE Trans. Cloud Comput., 2023

LAMBO: Large Language Model Empowered Edge Intelligence.

Li Dong, Feibo Jiang, Yubo Peng, Kezhi Wang, Kun Yang, Cunhua Pan, Robert Schober

CoRR, 2023

2022

Designing a Mixed Multilayer Wavelet Neural Network for Solving ERI Inversion Problem With Massive Amounts of Data: A Hybrid STGWO-GD Learning Approach.

Feibo Jiang, Li Dong, Qianwei Dai

IEEE Trans. Cybern., 2022

Fuzzy deep wavelet neural network with hybrid learning algorithm: Application to electrical resistivity imaging inversion.

Li Dong, Feibo Jiang, Minjie Wang, Xiaolong Li

Knowl. Based Syst., 2022

Distributed Resource Scheduling for Large-Scale MEC Systems: A Multiagent Ensemble Deep Reinforcement Learning With Imitation Acceleration.

Feibo Jiang, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan

IEEE Internet Things J., 2022

Joint Optimization of Deployment and Trajectory in UAV and IRS-Assisted IoT Data Collection System.

Li Dong, Zhibin Liu, Feibo Jiang, Kezhi Wang

IEEE Internet Things J., 2022

IRI: An intelligent resistivity inversion framework based on fuzzy wavelet neural network.

Li Dong, Feibo Jiang, Xiaolong Li, Mingzhu Wu

Expert Syst. Appl., 2022

2021

AI Driven Heterogeneous MEC System with UAV Assistance for Dynamic Environment: Challenges and Solutions.

Feibo Jiang, Kezhi Wang, Li Dong, Cunhua Pan, Wei Xu, Kun Yang

IEEE Netw., 2021

2020

Electrical Resistivity Inversion Based on a Hybrid CCSFLA-MSVR Method.

Feibo Jiang, Li Dong, Qianwei Dai

Neural Process. Lett., 2020

Deep-Learning-Based Joint Resource Scheduling Algorithms for Hybrid MEC Networks.

Feibo Jiang, Kezhi Wang, Li Dong, Cunhua Pan, Wei Xu, Kun Yang

IEEE Internet Things J., 2020

Stacked Autoencoder-Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks.

Feibo Jiang, Kezhi Wang, Li Dong, Cunhua Pan, Kun Yang

IEEE Internet Things J., 2020

Distributed Resource Scheduling for Large-Scale MEC Systems: A Multi-Agent Ensemble Deep Reinforcement Learning with Imitation Acceleration.

Feibo Jiang, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan

CoRR, 2020

Stacked Auto Encoder Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks.

Feibo Jiang, Kezhi Wang, Li Dong, Cunhua Pan, Kun Yang

CoRR, 2020

2018

Electrical resistivity imaging inversion: An ISFLA trained kernel principal component wavelet neural network approach.

Feibo Jiang, Li Dong, Qianwei Dai

Neural Networks, 2018

Using wavelet packet denoising and ANFIS networks based on COSFLA optimization for electrical resistivity imaging inversion.

Feibo Jiang, Li Dong, Qianwei Dai, David Charles Nobes

Fuzzy Sets Syst., 2018