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ORCIDLi Dong 0009
Person information
- affiliation: Hunan University of Technology and Business, Key Laboratory of Hunan Province for New Retail Virtual Reality Technology, Changsha, China
- affiliation (PhD 2018): Central South University, School of Geosciences and Info-Physics, Changsha, China
Other persons with the same name
- Li Dong — disambiguation page
- Li Dong 0001 — Tsinghua University, Department of Computer Science and Technology / System Division of Library, Beijing, China
- Li Dong 0002 — Bohai University, College of Mathematics and Physics, Jinzhou, China (and 1 more)
- Li Dong 0003
![[0000-0002-2059-8842]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2059-8842")
— University of Electronic Science and Technology of China, School of Life Science and Technology, Chengdu, China - Li Dong 0004 — Microsoft Research Asia, Natural Language Computing Group, Beijing, China (and 2 more)
- Li Dong 0005 — Dalian Nationalities University, College of Science, China
- Li Dong 0006 — Ningbo University, Faculty of Electrical Engineering and Computer Science, China (and 1 more)
- Li Dong 0007 — Xi'an Jiaotong University, School of Microelectronics, China
- Li Dong 0008 — Northeastern University, Engineering Optimization and Smart Antenna Institute, Qinhuangdao, China
- Li Dong 0010 — Microsoft Research
- Li Dong 0011 — Shenzhen Technology University, College of Big Data and Internet, China (and 1 more)
Other persons with a similar name
- Dong Li — disambiguation page
- Dongsheng Li (aka: DongSheng Li, Dong-sheng Li, Dong-Sheng Li, Dong Sheng Li) — disambiguation page
- Guodong Li (aka: GuoDong Li, Guo-Dong Li)
- Jundong Li (aka: Jun-Dong Li) — University of Virginia, Department of Electrical and Computer Engineering, Charlottesville, VA, USA (and 1 more)
- Xiaodong Li (aka: Xiao-Dong Li) — disambiguation page
- Chuandong Li 0001 (aka: Chuan-Dong Li 0001) — Southwest University, Chongqing, China (and 2 more)
- Dong Li 0001 — University of California, Merced, CA, USA (and 2 more)
- Dongsheng Li 0001 (aka: Dong-sheng Li 0001, Dong Sheng Li 0001) — National University of Defense Technology, College of Computer, Changsha, China
- Dong Li 0009 — Macau University of Science and Technology, Faculty of Information Technology, Macau (and 1 more)
- Lidong Wang (aka: Li-dong Wang, Li-Dong Wang) — disambiguation page
- show all similar names
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2020 – today
- 2024
[j15]Zeyang Xia, Li Dong, Feibo Jiang:
A Spiking Reinforcement Trajectory Planning for UAV-Assisted MEC Systems. IEEE Access 12: 54435-54448 (2024)- [j14]Feibo Jiang, Yubo Peng, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan, Xiaohu You:
Large AI Model-Based Semantic Communications. IEEE Wirel. Commun. 31(3): 68-75 (2024) - [j13]Yubo Peng, Feibo Jiang, Siwei Tu, Li Dong, Kezhi Wang, Kun Yang:
Dynamic Client Scheduling Enhanced Federated Learning for UAVs. IEEE Wirel. Commun. Lett. 13(7): 1998-2002 (2024) - [i13]Feibo Jiang, Yubo Peng, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan, Xiaohu You:
Large Generative Model Assisted 3D Semantic Communication. CoRR abs/2403.05783 (2024) - [i12]Feibo Jiang, Li Dong, Siwei Tu, Yubo Peng, Kezhi Wang, Kun Yang, Cunhua Pan, Dusit Niyato:
Personalized Wireless Federated Learning for Large Language Models. CoRR abs/2404.13238 (2024) - [i11]Feibo Jiang, Chuanguo Tang, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan:
Visual Language Model based Cross-modal Semantic Communication Systems. CoRR abs/2407.00020 (2024) - [i10]Li Dong, Feibo Jiang, Minjie Wang, Yubo Peng, Xiaolong Li:
Deep progressive reinforcement learning-based flexible resource scheduling framework for IRS and UAV-assisted MEC system. CoRR abs/2408.01248 (2024) - [i9]Yubo Peng, Feibo Jiang, Li Dong, Kezhi Wang, Kun Yang:
Personalized Federated Learning for Generative AI-Assisted Semantic Communications. CoRR abs/2410.02450 (2024) - [i8]Yubo Peng, Feibo Jiang, Li Dong, Kezhi Wang, Kun Yang:
GAI-Enabled Explainable Personalized Federated Semi-Supervised Learning. CoRR abs/2410.08634 (2024) - 2023
- [j12]Feibo Jiang, Yubo Peng, Kezhi Wang, Li Dong, Kun Yang:
MARS: A DRL-Based Multi-Task Resource Scheduling Framework for UAV With IRS-Assisted Mobile Edge Computing System. IEEE Trans. Cloud Comput. 11(4): 3700-3712 (2023) - [i7]Feibo Jiang, Yubo Peng, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan, Xiaohu You:
Large AI Model-Based Semantic Communications. CoRR abs/2307.03492 (2023) - [i6]Li Dong, Feibo Jiang, Yubo Peng, Kezhi Wang, Kun Yang, Cunhua Pan, Robert Schober:
LAMBO: Large Language Model Empowered Edge Intelligence. CoRR abs/2308.15078 (2023) - [i5]Feibo Jiang, Yubo Peng, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan, Xiaohu You:
Large AI Model Empowered Multimodal Semantic Communications. CoRR abs/2309.01249 (2023) - [i4]Feibo Jiang, Li Dong, Yubo Peng, Kezhi Wang, Kun Yang, Cunhua Pan, Dusit Niyato, Octavia A. Dobre:
Large Language Model Enhanced Multi-Agent Systems for 6G Communications. CoRR abs/2312.07850 (2023) - 2022
- [j11]Li Dong, Feibo Jiang, Xiaolong Li, Mingzhu Wu:
IRI: An intelligent resistivity inversion framework based on fuzzy wavelet neural network. Expert Syst. Appl. 202: 117066 (2022) - [j10]Feibo Jiang, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan:
Distributed Resource Scheduling for Large-Scale MEC Systems: A Multiagent Ensemble Deep Reinforcement Learning With Imitation Acceleration. IEEE Internet Things J. 9(9): 6597-6610 (2022) - [j9]Li Dong, Zhibin Liu, Feibo Jiang, Kezhi Wang:
Joint Optimization of Deployment and Trajectory in UAV and IRS-Assisted IoT Data Collection System. IEEE Internet Things J. 9(21): 21583-21593 (2022) - [j8]Li Dong, Feibo Jiang, Minjie Wang, Xiaolong Li:
Fuzzy deep wavelet neural network with hybrid learning algorithm: Application to electrical resistivity imaging inversion. Knowl. Based Syst. 242: 108164 (2022) - [j7]Feibo Jiang, Li Dong, Qianwei Dai:
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. 52(2): 925-936 (2022) - [i3]Li Dong, Zhibin Liu, Feibo Jiang, Kezhi Wang:
Joint Optimization of Deployment and Trajectory in UAV and IRS-Assisted IoT Data Collection System. CoRR abs/2210.15203 (2022) - 2021
- [j6]Feibo Jiang, Kezhi Wang, Li Dong, Cunhua Pan, Wei Xu, Kun Yang:
AI Driven Heterogeneous MEC System with UAV Assistance for Dynamic Environment: Challenges and Solutions. IEEE Netw. 35(1): 400-408 (2021) - 2020
- [j5]Feibo Jiang, Kezhi Wang, Li Dong, Cunhua Pan, Wei Xu, Kun Yang:
Deep-Learning-Based Joint Resource Scheduling Algorithms for Hybrid MEC Networks. IEEE Internet Things J. 7(7): 6252-6265 (2020) - [j4]Feibo Jiang, Kezhi Wang, Li Dong, Cunhua Pan, Kun Yang:
Stacked Autoencoder-Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks. IEEE Internet Things J. 7(10): 9278-9290 (2020) - [j3]Feibo Jiang, Li Dong, Qianwei Dai:
Electrical Resistivity Inversion Based on a Hybrid CCSFLA-MSVR Method. Neural Process. Lett. 51(3): 2871-2890 (2020) - [i2]Feibo Jiang, Kezhi Wang, Li Dong, Cunhua Pan, Kun Yang:
Stacked Auto Encoder Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks. CoRR abs/2001.09223 (2020) - [i1]Feibo Jiang, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan:
Distributed Resource Scheduling for Large-Scale MEC Systems: A Multi-Agent Ensemble Deep Reinforcement Learning with Imitation Acceleration. CoRR abs/2005.12364 (2020)
2010 – 2019
- 2018
- [j2]Feibo Jiang, Li Dong, Qianwei Dai, David Charles Nobes:
Using wavelet packet denoising and ANFIS networks based on COSFLA optimization for electrical resistivity imaging inversion. Fuzzy Sets Syst. 337: 93-112 (2018) - [j1]Feibo Jiang, Li Dong, Qianwei Dai:
Electrical resistivity imaging inversion: An ISFLA trained kernel principal component wavelet neural network approach. Neural Networks 104: 114-123 (2018)
Coauthor Index
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