Luyao Zou

Orcid: 0000-0002-4441-4390

According to our database1, Luyao Zou authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Imbalance Cost-Aware Energy Scheduling for Prosumers Towards UAM Charging: A Matching and Multi-Agent DRL Approach.
IEEE Trans. Veh. Technol., March, 2024

Collaborative Computing Services at Ground, Air, and Space: An Optimization Approach.
IEEE Trans. Veh. Technol., January, 2024

2023
When Hierarchical Federated Learning Meets Stochastic Game: Toward an Intelligent UAV Charging in Urban Prosumers.
IEEE Internet Things J., 2023

Energy Efficient Leaderless Softwarized UAV Network: Joint Intelligent User Association and Resource Allocation Design.
Proceedings of the NOMS 2023, 2023

Edge-assisted Attention-based Federated Learning for Multi-Step EVSE-enabled Prosumer Energy Demand Prediction.
Proceedings of the International Conference on Information Networking, 2023

EFCKD: Edge-Assisted Federated Contrastive Knowledge Distillation Approach for Energy Management: Energy Theft Perspective.
Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

Federated Multimodal Learning for IoT Applications: A Contrastive Learning Approach.
Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

2022
Intelligent EV Charging for Urban Prosumer Communities: An Auction and Multi-Agent Deep Reinforcement Learning Approach.
IEEE Trans. Netw. Serv. Manag., December, 2022

Clustering-Based Serverless Edge Computing Assisted Federated Learning for Energy Procurement.
Proceedings of the 23rd Asia-Pacific Network Operations and Management Symposium, 2022

An Encouraging Design for Data Owners to Join Multiple Co-existing Federated Learning.
Proceedings of the 23rd Asia-Pacific Network Operations and Management Symposium, 2022

2021
Intelligent Grid Shepherd: Towards a Resilient Distributed Energy Resources Control System.
Proceedings of the 22nd Asia-Pacific Network Operations and Management Symposium, 2021

2020
Day-ahead Energy Sharing Schedule for the P2P Prosumer Community Using LSTM and Swarm Intelligence.
Proceedings of the 2020 International Conference on Information Networking, 2020


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