Mengyuan Lee

Orcid: 0000-0001-7686-0507

According to our database1, Mengyuan Lee authored at least 22 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Power Control for NN-Based Wireless Distributed Inference With Improved Model Calibration.
IEEE Trans. Wirel. Commun., October, 2024

Privacy-Preserving Decentralized Inference With Graph Neural Networks in Wireless Networks.
IEEE Trans. Wirel. Commun., January, 2024

2023
Meta-Gating Framework for Fast and Continuous Resource Optimization in Dynamic Wireless Environments.
IEEE Trans. Commun., September, 2023

Joint Resource Allocation and Trajectory Design for Multi-UAV Systems With Moving Users: Pointer Network and Unfolding.
IEEE Trans. Wirel. Commun., May, 2023

Decentralized Inference With Graph Neural Networks in Wireless Communication Systems.
IEEE Trans. Mob. Comput., May, 2023

OverGNN Assisted Power Allocation for Heterogeneous Ultra-Dense Networks.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2023

2022
Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions.
IEEE Wirel. Commun., 2022

A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions.
IEEE Trans. Cloud Comput., 2022

A Graph Neural Network Based Decentralized Learning Scheme.
Sensors, 2022

Multicell Power Control Under QoS Requirements With CNet.
IEEE Commun. Lett., 2022

Learning to Optimize Resource in Dynamic Wireless Environment via Meta-Gating Graph Neural Network.
Proceedings of the 18th International Symposium on Wireless Communication Systems, 2022

Joint Neural Network for Trajectory and Communication Design in Multi-UAV Systems.
Proceedings of the IEEE Global Communications Conference, 2022

Design of Retransmission Mechanism for Decentralized Inference with Graph Neural Networks.
Proceedings of the 27th Asia Pacific Conference on Communications, 2022

2021
Graph Embedding-Based Wireless Link Scheduling With Few Training Samples.
IEEE Trans. Wirel. Commun., 2021

Accelerating Generalized Benders Decomposition for Wireless Resource Allocation.
IEEE Trans. Wirel. Commun., 2021

Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020
Learning to Branch: Accelerating Resource Allocation in Wireless Networks.
IEEE Trans. Veh. Technol., 2020

User Association for Millimeter-Wave Networks: A Machine Learning Approach.
IEEE Trans. Commun., 2020

Wireless D2D Network Link Scheduling based on Graph Embedding.
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Wireless Link Scheduling for D2D Communications with Graph Embedding Technique.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019
Accelerating Resource Allocation for D2D Communications Using Imitation Learning.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

2018
Deep Neural Networks for Linear Sum Assignment Problems.
IEEE Wirel. Commun. Lett., 2018


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