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2. Nan J, Deng W, Zhang R, et al. Interaction-aware planning with deep inversereinforcement learning for human-like autonomous driving in merge scenarios[J].IEEE Transactions on Intelligent Vehicles, 2024, 9(1): 2714-2726. (SCI检索, 中科院一区期刊, IF: 14, 第一作者)
3. Nan J, Deng W, Zhang R, et al. Car-following behavior modeling with maximumentropy deep inverse reinforcement learning[J]. IEEE Transactions onIntelligent Vehicles, 2024, 9(2): 3998-4010. (SCI检索, 中科院一区期刊, IF: 14, 第一作者)
4. Nan J, Deng W, Zhang R, et al. A long-term actor network for human-likecar-following trajectory planning guided by offline sample-based deep inversereinforcement learning[J]. IEEE Transactions on Automation Science andEngineering, 2023. (SCI检索, 中科院二区Top期刊, IF: 5.9, DOI: 10.1109/TASE.2023.3337230, 第一作者)
5. Nan J, Deng W, Zhao R, et al. Evaluation method with digital expert on thecriticality of car-following scenarios for autonomous vehicles testing[J].Proceedings of the Institution of Mechanical Engineers, Part D: Journal ofAutomobile Engineering, 2024. (SCI检索, 中科院四区期刊, IF: 1.7,DOI: 10.1177/09544070241245484, 第一作者)
6. Zhao R, Deng W, Nan J*, et al. Optimizingsteering feedback torque with reinforcement learning guided by human rewardmodel[J]. IEEE Transactions on Transportation Electrification, 2024. (SCI检索, 中科院一区Top期刊, IF: 7.0, DOI: 10.1109/TTE.2024.3381266, 通讯作者)