Tong Liu

Orcid: 0000-0001-7537-7070

Affiliations:
  • Beijing University of Posts and Telecommunications, MoE Key Laboratory of Universal Wireless Communications, China


According to our database1, Tong Liu authored at least 11 papers between 2021 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Multitimescale Control and Communications With Deep Reinforcement Learning - Part I: Communication-Aware Vehicle Control.
IEEE Internet Things J., May, 2024

Multitimescale Control and Communications With Deep Reinforcement Learning - Part II: Control-Aware Radio Resource Allocation.
IEEE Internet Things J., May, 2024

FL2ETD: A Few-Shot Learning Framework to Electricity Theft Detection.
Proceedings of the IEEE International Conference on Communications, 2024

2023
Autonomous Platoon Control With Integrated Deep Reinforcement Learning and Dynamic Programming.
IEEE Internet Things J., 2023

Multi-Timescale Control and Communications with Deep Reinforcement Learning - Part I: Communication-Aware Vehicle Control.
CoRR, 2023

Multi-Timescale Control and Communications with Deep Reinforcement Learning - Part II: Control-Aware Radio Resource Allocation.
CoRR, 2023

Jointly Learning V2X Communication and Platoon Control with Deep Reinforcement Learning.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

A Prototype-Based Knowledge Distillation Framework for Heterogeneous Federated Learning.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

LEARN: Selecting Samples Without Training Verification for Communication-Efficient Vertical Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Deep Reinforcement Learning Aided Platoon Control Relying on V2X Information.
IEEE Trans. Veh. Technol., 2022

2021
Design and implementation of a novel real-time unmanned aerial vehicle localization scheme based on received signal strength.
Trans. Emerg. Telecommun. Technol., 2021


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