Li Dong
Orcid: 0000-0002-0127-8480Affiliations:
- Hunan University of Technology and Business, Key Laboratory of Hunan Province for New Retail Virtual Reality Technology, Changsha, China
- Central South University, School of Geosciences and Info-Physics, Changsha, China (PhD 2018)
According to our database1,
Li Dong
authored at least 20 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Access, 2024
2023
MARS: A DRL-Based Multi-Task Resource Scheduling Framework for UAV With IRS-Assisted Mobile Edge Computing System.
IEEE Trans. Cloud Comput., 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.
IEEE Trans. Cybern., 2022
Fuzzy deep wavelet neural network with hybrid learning algorithm: Application to electrical resistivity imaging inversion.
Knowl. Based Syst., 2022
Distributed Resource Scheduling for Large-Scale MEC Systems: A Multiagent Ensemble Deep Reinforcement Learning With Imitation Acceleration.
IEEE Internet Things J., 2022
Joint Optimization of Deployment and Trajectory in UAV and IRS-Assisted IoT Data Collection System.
IEEE Internet Things J., 2022
IRI: An intelligent resistivity inversion framework based on fuzzy wavelet neural network.
Expert Syst. Appl., 2022
2021
AI Driven Heterogeneous MEC System with UAV Assistance for Dynamic Environment: Challenges and Solutions.
IEEE Netw., 2021
2020
Neural Process. Lett., 2020
IEEE Internet Things J., 2020
Stacked Autoencoder-Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks.
IEEE Internet Things J., 2020
Distributed Resource Scheduling for Large-Scale MEC Systems: A Multi-Agent Ensemble Deep Reinforcement Learning with Imitation Acceleration.
CoRR, 2020
Stacked Auto Encoder Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks.
CoRR, 2020
2018
Electrical resistivity imaging inversion: An ISFLA trained kernel principal component wavelet neural network approach.
Neural Networks, 2018
Using wavelet packet denoising and ANFIS networks based on COSFLA optimization for electrical resistivity imaging inversion.
Fuzzy Sets Syst., 2018