Xin Tao

Orcid: 0000-0002-7933-039X

Affiliations:
  • KTH, Integrated Transport Research Lab, Stockholm, Sweden


According to our database1, Xin Tao authored at least 16 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A Case for Causal Reinforcement Learning in Longitudinal Vehicle Control.
Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026

2025
ReLVaaS: Verification-as-a-Service to Analyze Trustworthiness of RL-based Solutions in 6G Networks.
Proceedings of the 17th International Conference on COMmunication Systems and NETworks, 2025

2024
Advanced Edge Computing Architecture for AI-Driven Automation and Slicing in Beyond 5G.
Proceedings of the 17th IEEE/ACM International Conference on Utility and Cloud Computing, 2024

Towards Trustworthy Reinforcement Learning-based Resource Management in Beyond 5G.
Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2024

2023
Finding Critical Scenarios for Automated Driving Systems: A Systematic Mapping Study.
IEEE Trans. Software Eng., March, 2023

Application of Integrated Vehicle Health Management in Automated Decision-making for Driverless Vehicles.
PhD thesis, 2023

AI-Powered Edge Computing Evolution for Beyond 5G Communication Networks.
Proceedings of the 2023 Joint European Conference on Networks and Communications & 6G Summit, 2023

An Evolutionary Edge Computing Architecture for the Beyond 5G Era.
Proceedings of the 28th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks , 2023

2022
Short-term maintenance planning of autonomous trucks for minimizing economic risk.
Reliab. Eng. Syst. Saf., 2022

Multi-criteria Decision-making of Intelligent Vehicles under Fault Condition Enhancing Public-private Partnership.
CoRR, 2022

2021
Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review.
CoRR, 2021

2020
Probabilistic Inference of Fault Condition of Cyber-Physical Systems Under Uncertainty.
IEEE Syst. J., 2020

A domain-specific modeling approach supporting tool-chain development with Bayesian network models.
Integr. Comput. Aided Eng., 2020

Uncertainty Management in Situation Awareness for Cyber-Physical Systems: State of the Art and Challenge.
Proceedings of the ICCAI '20: 2020 6th International Conference on Computing and Artificial Intelligence, 2020

2018
Architecting Safety Supervisors for High Levels of Automated Driving.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Signal Feature Analysis for Dynamic Anomaly Detection of Components in Embedded Control Systems.
Proceedings of the Contemporary Complex Systems and Their Dependability, 2018


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