Using wavelet packet denoising and ANFIS networks based on COSFLA optimization for electrical resistivity imaging inversion. - Feibo Jiang; Li Dong 009; Qianwei Dai; David Charles Nobes (Fuzzy Sets Syst., 2018)

Electrical resistivity imaging inversion: An ISFLA trained kernel principal component wavelet neural network approach. - Feibo Jiang; Li Dong 009; Qianwei Dai (Neural Networks, 2018)

Stacked Auto Encoder Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks. - Feibo Jiang; Kezhi Wang; Li Dong 009; Cunhua Pan; Kun Yang 001 (CoRR, 2020)

Distributed Resource Scheduling for Large-Scale MEC Systems: A Multi-Agent Ensemble Deep Reinforcement Learning with Imitation Acceleration. - Feibo Jiang; Li Dong 009; Kezhi Wang; Kun Yang 001; Cunhua Pan (CoRR, 2020)

Stacked Autoencoder-Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks. - Feibo Jiang; Kezhi Wang; Li Dong 009; Cunhua Pan; Kun Yang 001 (IEEE Internet Things J., 2020)

Deep-Learning-Based Joint Resource Scheduling Algorithms for Hybrid MEC Networks. - Feibo Jiang; Kezhi Wang; Li Dong 009; Cunhua Pan; Wei Xu 001; Kun Yang 001 (IEEE Internet Things J., 2020)

Electrical Resistivity Inversion Based on a Hybrid CCSFLA-MSVR Method. - Feibo Jiang; Li Dong 009; Qianwei Dai (Neural Process. Lett., 2020)

AI Driven Heterogeneous MEC System with UAV Assistance for Dynamic Environment: Challenges and Solutions. - Feibo Jiang; Kezhi Wang; Li Dong 009; Cunhua Pan; Wei Xu 001; Kun Yang 001 (IEEE Netw., 2021)

Application of C1DAE-ANIL in End-to-End Communication of IRS-Assisted UAV System. - Mingzhu Wu; Feibo Jiang; Junyan Liu; Yubo Peng (IEEE Access, 2022)

IRI: An intelligent resistivity inversion framework based on fuzzy wavelet neural network. - Li Dong 009; Feibo Jiang; Xiaolong Li 004; Mingzhu Wu (Expert Syst. Appl., 2022)

Joint Optimization of Deployment and Trajectory in UAV and IRS-Assisted IoT Data Collection System. - Li Dong 009; Zhibin Liu; Feibo Jiang; Kezhi Wang (IEEE Internet Things J., 2022)

Distributed Resource Scheduling for Large-Scale MEC Systems: A Multiagent Ensemble Deep Reinforcement Learning With Imitation Acceleration. - Feibo Jiang; Li Dong 009; Kezhi Wang; Kun Yang 001; Cunhua Pan (IEEE Internet Things J., 2022)

Fuzzy deep wavelet neural network with hybrid learning algorithm: Application to electrical resistivity imaging inversion. - Li Dong 009; Feibo Jiang; Minjie Wang; Xiaolong Li 004 (Knowl. Based Syst., 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 009; Qianwei Dai (IEEE Trans. Cybern., 2022)

LAMBO: Large Language Model Empowered Edge Intelligence. - Li Dong 009; Feibo Jiang; Yubo Peng; Kezhi Wang; Kun Yang 001; Cunhua Pan; Robert Schober (CoRR, 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 009; Kun Yang 001 (IEEE Trans. Cloud Comput., 2023)

A Spiking Reinforcement Trajectory Planning for UAV-Assisted MEC Systems. - Zeyang Xia; Li Dong 009; Feibo Jiang (IEEE Access, 2024)

Large Generative Model Assisted 3D Semantic Communication. - Feibo Jiang; Yubo Peng; Li Dong 009; Kezhi Wang; Kun Yang 001; Cunhua Pan; Xiaohu You 001 (CoRR, 2024)

Personalized Wireless Federated Learning for Large Language Models. - Feibo Jiang; Li Dong 009; Siwei Tu; Yubo Peng; Kezhi Wang; Kun Yang 001; Cunhua Pan; Dusit Niyato (CoRR, 2024)

Personalized Federated Learning for Generative AI-Assisted Semantic Communications. - Yubo Peng; Feibo Jiang; Li Dong 009; Kezhi Wang; Kun Yang 001 (CoRR, 2024)

GAI-Enabled Explainable Personalized Federated Semi-Supervised Learning. - Yubo Peng; Feibo Jiang; Li Dong 009; Kezhi Wang; Kun Yang 001 (CoRR, 2024)

Large Generative Model-assisted Talking-face Semantic Communication System. - Feibo Jiang; Siwei Tu; Li Dong 009; Cunhua Pan; Jiangzhou Wang; Xiaohu You 001 (CoRR, 2024)

Large AI Model-Based Semantic Communications. - Feibo Jiang; Yubo Peng; Li Dong 009; Kezhi Wang; Kun Yang 001; Cunhua Pan; Xiaohu You 001 (IEEE Wirel. Commun., 2024)

Dynamic Client Scheduling Enhanced Federated Learning for UAVs. - Yubo Peng; Feibo Jiang; Siwei Tu; Li Dong 009; Kezhi Wang; Kun Yang 001 (IEEE Wirel. Commun. Lett., 2024)

Explainable Semantic Federated Learning Enabled Industrial Edge Network for Fire Surveillance. - Li Dong 009; Yubo Peng; Feibo Jiang; Kezhi Wang; Kun Yang 001 (IEEE Trans. Ind. Informatics, 2024)

Large Language Model Enhanced Multi-Agent Systems for 6G Communications. - Feibo Jiang; Yubo Peng; Li Dong 009; Kezhi Wang; Kun Yang 001; Cunhua Pan; Dusit Niyato; Octavia A. Dobre (IEEE Wirel. Commun., 2024)

Large AI Model Empowered Multimodal Semantic Communications. - Feibo Jiang; Li Dong 009; Yubo Peng; Kezhi Wang; Kun Yang 001; Cunhua Pan; Xiaohu You 001 (IEEE Commun. Mag., 2025)

M4SC: An MLLM-based Multi-modal, Multi-task and Multi-user Semantic Communication System. - Feibo Jiang; Siwei Tu; Li Dong 009; Kezhi Wang; Kun Yang 001; Cunhua Pan (CoRR, 2025)

Lightweight Vision Model-based Multi-user Semantic Communication Systems. - Feibo Jiang; Siwei Tu; Li Dong 009; Kezhi Wang; Kun Yang 001; Ruiqi Liu; Cunhua Pan; Jiangzhou Wang (CoRR, 2025)

CommGPT: A Graph and Retrieval-Augmented Multimodal Communication Foundation Model. - Feibo Jiang; Wanyun Zhu; Li Dong 009; Kezhi Wang; Kun Yang 001; Cunhua Pan; Octavia A. Dobre (CoRR, 2025)

Deep Progressive Reinforcement Learning-Based Flexible Resource Scheduling Framework for IRS and UAV-Assisted MEC System. - Li Dong 009; Feibo Jiang; Minjie Wang; Yubo Peng; Xiaolong Li 004 (IEEE Trans. Neural Networks Learn. Syst., 2025)

SIMAC: A Semantic-Driven Integrated Multimodal Sensing And Communication Framework. - Yubo Peng; Luping Xiang; Kun Yang 001; Feibo Jiang; Kezhi Wang; Dapeng Oliver Wu (CoRR, 2025)

LAMBO: Large AI Model Empowered Edge Intelligence. - Li Dong 009; Feibo Jiang; Yubo Peng; Kezhi Wang; Kun Yang 001; Cunhua Pan; Robert Schober (IEEE Commun. Mag., 2025)

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges. - Feibo Jiang; Cunhua Pan; Li Dong 009; Kezhi Wang; Mérouane Debbah; Dusit Niyato; Zhu Han 001 (CoRR, 2025)

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications. - Feibo Jiang; Cunhua Pan; Li Dong 009; Kezhi Wang; Octavia A. Dobre; Mérouane Debbah (CoRR, 2025)

Visual Language Model-Based Cross-Modal Semantic Communication Systems. - Feibo Jiang; Chuanguo Tang; Li Dong 009; Kezhi Wang; Kun Yang 001; Cunhua Pan (IEEE Trans. Wirel. Commun., 2025)

Integrated Multimodal Sensing and Communication: Challenges, Technologies, and Architectures. - Yubo Peng; Luping Xiang; Kun Yang 001; Feibo Jiang; Kezhi Wang; Christos Masouros (CoRR, 2025)

Attention-Based UAV Trajectory Optimization for Wireless Power Transfer-Assisted IoT Systems. - Li Dong 009; Feibo Jiang; Yubo Peng (IEEE Trans. Ind. Electron., 2025)