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My research primarily centers around the intersection of autonomous driving and machine learning. My goal is to develop algorithms and techniques that enable machines to interact with humans naturally, make intelligent decisions, and drive as skillfully as experienced human drivers. Specifically, my research interests encompass deep learning and reinforcement learning, applied to areas such as autonomous driving decision-making, prediction and planning, simulation, and human-machine interaction. My contributions have resulted in the publication of over 20 papers in top AI/ITS/Robotics journals and conferences.
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arxiv(2024)
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IEEE Transactions on Vehicular Technologyno. 99 (2024): 1-11
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCEno. 1 (2024): 267-279
CoRR (2023): 4859-4865
2023 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ICRApp.1449-1455, (2023)
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