Zefang Lv

Orcid: 0000-0003-3880-5069

According to our database¹, Zefang Lv authored at least 20 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2025

Edge-Assisted Collaborative Perception Against Jamming and Interference in Vehicular Networks.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., January, 2025

2024

Reinforcement Learning Based Energy-Efficient Fast Routing for FANETs.

[BibT_eX]

[DOI]

IEEE Trans. Commun., November, 2024

Efficient Communications in Multi-Agent Reinforcement Learning for Mobile Applications.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., September, 2024

Efficient Beacon-Aided AUV Localization: A Reinforcement Learning Based Approach.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., June, 2024

Safe Multi-Agent Reinforcement Learning for Wireless Applications Against Adversarial Communications.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2024

Reinforcement Learning Based QoS-Aware Anti-Jamming Underwater Video Transmission.

[BibT_eX]

[DOI]

Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

2023

Multi-Agent Reinforcement Learning Based UAV Swarm Communications Against Jamming.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., December, 2023

Collaborative Inference for MEC Services Based on Multimodal Deep Neural Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Reinforcement Learning Based UAV Swarm Communications Against Jamming.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2023

Reinforcement Learning Based Energy-Efficient Routing with Latency Constraints for FANETs.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

Efficient Communications for Multi-Agent Reinforcement Learning in Wireless Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

Multi-Agent Reinforcement Learning for Wireless Networks Against Adversarial Communications.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

2022

Reinforcement Learning Based Vulnerability Analysis for Smart Grids Against False Data Injection Attacks.

[BibT_eX]

[DOI]

Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

2021

Learning-Based Low-Latency VIoT Video Streaming Against Jamming and Interference.

[BibT_eX]

[DOI]

IEEE Wirel. Commun., 2021

Distributed reinforcement learning based framework for energy-efficient UAV relay against jamming.

[BibT_eX]

[DOI]

Intell. Converged Networks, 2021

2020

A Differentially Private Big Data Nonparametric Bayesian Clustering Algorithm in Smart Grid.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2020

Reinforcement Learning Based Energy Efficient Underwater Localization.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Conference on Wireless Communications and Signal Processing (WCSP), 2020

Autonomous and Privacy-preserving Energy Trading Based on Redactable Blockchain in Smart Grid.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2020

2019

Achieving data utility-privacy tradeoff in Internet of Medical Things: A machine learning approach.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2019

An Optimizing and Differentially Private Clustering Algorithm for Mixed Data in SDN-Based Smart Grid.

[BibT_eX]

[DOI]

IEEE Access, 2019

Zefang Lv

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