Chen Chen

Orcid: 0000-0003-4310-8428

Affiliations:
  • Tsinghua University, School of Vehicle and Mobility, Center for Intelligent Connected Vehicles and Transportation, Beijing, China
  • Beijing University of Technology, College of Metropolitan Transportation, China (PhD 2019)


According to our database1, Chen Chen authored at least 10 papers between 2022 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Enhance Sample Efficiency and Robustness of End-to-End Urban Autonomous Driving via Semantic Masked World Model.
IEEE Trans. Intell. Transp. Syst., October, 2024

Quantifying the Individual Differences of Drivers' Risk Perception via Potential Damage Risk Model.
IEEE Trans. Intell. Transp. Syst., July, 2024

SEPT: Towards Efficient Scene Representation Learning for Motion Prediction.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Neural MPC-Based Decision-Making Framework for Autonomous Driving in Multi-Lane Roundabout.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control.
Proceedings of the International Conference on Machine Learning, 2023

2022
Self-Learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections.
IEEE Trans. Intell. Transp. Syst., 2022

Quantifying the Individual Differences of Driver' Risk Perception with Just Four Interpretable Parameters.
CoRR, 2022

Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model.
CoRR, 2022

Primal-dual Estimator Learning: an Offline Constrained Moving Horizon Estimation Method with Feasibility and Near-optimality Guarantees.
CoRR, 2022

Primal-Dual Estimator Learning Method with Feasibility and Near-Optimality Guarantees.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022


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