Hao Liang

Orcid: 0000-0002-8946-173X

Affiliations:
  • Beijing Jiaotong University, School of Electronics and Information Engineering, Beijing, China
  • Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, Beijing, China


According to our database1, Hao Liang authored at least 10 papers between 2021 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Cloud-Edge-End Collaboration for Intelligent Train Regulation Optimization in TACS.
IEEE Trans. Veh. Technol., January, 2025

2024
Blockchain-Empowered Edge Intelligence for TACS Obstacle Detection: System Design and Performance Optimization.
IEEE Trans. Ind. Informatics, January, 2024

Collaborative Edge Intelligence Service Provision in Blockchain Empowered Urban Rail Transit Systems.
IEEE Internet Things J., January, 2024

2023
Reliability-aware failure recovery for cloud computing based automatic train supervision systems in urban rail transit using deep reinforcement learning.
J. Cloud Comput., December, 2023

A Learning Based Intelligent Train Regulation Method With Dynamic Prediction for the Metro Passenger Flow.
IEEE Trans. Intell. Transp. Syst., April, 2023

A Cross-Layer Defense Method for Blockchain Empowered CBTC Systems Against Data Tampering Attacks.
IEEE Trans. Intell. Transp. Syst., January, 2023

When Blockchain Meets Urban Rail Transit: Current Prospects, Case Studies, and Future Challenges.
IEEE Intell. Transp. Syst. Mag., 2023

2022
Joint Security and Train Control Design in Blockchain-Empowered CBTC System.
IEEE Internet Things J., 2022

2021
A Potential Game Based Offloading Scheme for Edge Computing-Enabled Automatic Train Operation Systems.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

A Deep Reinforcement Learning based Resource Allocation Method for Urban Rail Transit Cloud Systems.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021


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