Van An Le

Orcid: 0000-0003-1272-7680

According to our database1, Van An Le authored at least 11 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Achieving Multi-Time-Step Segment Routing via Traffic Prediction and Compressive Sensing Techniques.
IEEE Trans. Netw. Serv. Manag., April, 2024

Enhancing the Generalization of Personalized Federated Learning with Multi-head Model and Ensemble Voting.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Traffic Engineering in Large-scale Networks via Multi-Agent Deep Reinforcement Learning with Joint-Training.
Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

SFETEC: Split-FEderated Learning Scheme Optimized for Thing-Edge-Cloud Environment.
Proceedings of the 20th IEEE International Conference on e-Science, 2024

2023
Deep Reinforcement Learning-based Uplink Power Control in Cell-Free Massive MIMO.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

2021
PM2.5 Prediction Using Genetic Algorithm-Based Feature Selection and Encoder-Decoder Model.
IEEE Access, 2021

Multi-time-step Segment Routing based Traffic Engineering Leveraging Traffic Prediction.
Proceedings of the 17th IFIP/IEEE International Symposium on Integrated Network Management, 2021

GCRINT: Network Traffic Imputation Using Graph Convolutional Recurrent Neural Network.
Proceedings of the ICC 2021, 2021

2019
Task Placement on Fog Computing Made Efficient for IoT Application Provision.
Wirel. Commun. Mob. Comput., 2019

Flow aggregation for SDN-based delay-insensitive traffic control in mobile core networks.
IET Commun., 2019

Deep Convolutional LSTM Network-based Traffic Matrix Prediction with Partial Information.
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2019


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