Xin Gao
Orcid: 0000-0002-7317-8059Affiliations:
- Beijing Institute of Technology, School of Mechanical Engineering, Beijing, China
- Peking University, Institute for AI, Center for AI Safety and Governance, Beijing, China
According to our database1,
Xin Gao authored at least 15 papers
between 2022 and 2026.
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Bibliography
2026
IEEE Trans. Intell. Transp. Syst., January, 2026
Omni-domain energy-efficient decision-making for large-scale heterogeneous platoons with dual-level graph reinforcement learning.
Neural Networks, 2026
2025
Spatiotemporal Coordinated Decision-Making in Heterogeneous Platooning via Interflow Hub-and-Spoke Graph Reinforcement Learning.
IEEE Internet Things J., October, 2025
Harmonizing Intra-coherence and Inter-divergence in Ensemble Attacks for Adversarial Transferability.
CoRR, May, 2025
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025
2024
Ethical Alignment Decision Making for Connected Autonomous Vehicle in Traffic Dilemmas via Reinforcement Learning From Human Feedback.
IEEE Internet Things J., December, 2024
Rate GQN: A Deviations-Reduced Decision-Making Strategy for Connected and Automated Vehicles in Mixed Autonomy.
IEEE Trans. Intell. Transp. Syst., January, 2024
Multilevel Graph Reinforcement Learning for Consistent Cognitive Decision-making in Heterogeneous Mixed Autonomy.
CoRR, 2024
A Nested Graph Reinforcement Learning-based Decision-making Strategy for Eco-platooning.
CoRR, 2024
SIF-STGDAN: A Social Interaction Force Spatial-Temporal Graph Dynamic Attention Network for Decision-Making of Connected and Autonomous Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
2023
Graph Reinforcement Learning-Based Decision-Making Technology for Connected and Autonomous Vehicles: Framework, Review, and Future Trends.
Sensors, October, 2023
A Human Feedback-Driven Decision-Making Method Based on Multi-Modal Deep Reinforcement Learning in Ethical Dilemma Traffic Scenarios.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
Generalized Single-Vehicle-Based Graph Reinforcement Learning for Decision-Making in Autonomous Driving.
Sensors, 2022
Multi-Agent Decision-Making Modes in Uncertain Interactive Traffic Scenarios via Graph Convolution-Based Deep Reinforcement Learning.
Sensors, 2022
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges.
CoRR, 2022