Han Jun Yoon

Orcid: 0009-0006-0499-1245

According to our database1, Han Jun Yoon authored at least 12 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
iMIA: Assessing Mission Risk in Uncertain, Interdependent AI Systems.
ACM Trans. Intell. Syst. Technol., April, 2026

Securing End-to-End Reinforcement Learning-Driven Autonomous Driving: A Control Command Utility-Based Intrusion Response System.
IEEE Trans. Intell. Veh., January, 2026

2025
DASH: Deception-Augmented Shared Mental Model for a Human-Machine Teaming System.
CoRR, December, 2025

Subjective-Bayesian-Network-Based Interdependent Mission Impact Assessment With Game-Theoretic Attack-Defense Interactions.
IEEE Internet Things J., March, 2025

Advancing Human-Machine Teaming: Concepts, Challenges, and Applications.
CoRR, March, 2025

2024
iMIA: Interdependent Mission Impact Assessment Using Subjective Bayesian Networks.
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

Intrusion Response System for In-Vehicle Networks: Uncertainty-Aware Deep Reinforcement Learning-based Approach.
Proceedings of the IEEE Military Communications Conference, 2024

Towards an Efficient Simulation-Based Anytime Inference in Subjective Bayesian Networks.
Proceedings of the 27th International Conference on Information Fusion, 2024

2023
Interdependent Mission Impact Assessment of an IoT System with Hypergame- heoretic Attack-Defense Behavior Modeling.
Proceedings of the 31st International Symposium on Modeling, 2023

Software-Friendly Subjective Bayesian Networks: Reasoning within a Software-Centric Mission Impact Assessment Framework.
Proceedings of the 26th International Conference on Information Fusion, 2023

2019
Engaging the Community Through Places: An User Study of People's Festival Stories.
Proceedings of the Information in Contemporary Society - 14th International Conference, 2019

Hierarchical Neural Networks for Detecting Anomalous Traffic Flows.
Proceedings of the 2019 IEEE Global Communications Conference, 2019


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