Representative journal articles in recent years：
[1] S. Zhang, W. Zhuang, B. Li, K. Li, T. Xia and B. Hu, Integration of planning and deep reinforcement learning in speed and lane change decision-making for highway autonomous driving, IEEE Transactions on Transportation Electrification, 2024. (中科院一区TOP) （课题组成员：张苏男、李珂和夏钿钰）
[2] Bo Hu, et al. A data-driven reinforcement learning based energy management strategy via bridging offline initialization and online fine-tuning for a hybrid electric vehicle, IEEE Transactions on Industrial Electronics, 2024. (中科院一区TOP) （课题组成员：刘博程和张苏男）
[3] Bo Hu, et al. An explainable and robust motion planning and control approach for autonomous vehicle on-ramping merging task using deep reinforcement learning, IEEE Transactions on Transportation Electrification, 2023. (中科院一区TOP) （课题组成员：江磊和张苏男）
[4] Bo Hu, et al. A hybrid algorithm combining data-driven and simulation-based reinforcement learning approaches to energy management of hybrid electric vehicles. IEEE Transactions on Transportation Electrification, 2023. (SCI一区TOP)（课题组成员：张苏男和刘博程）
[5] Bo Hu, et al. A data-driven solution for energy management strategy of hybrid electric vehicles based on uncertainty-aware model-based offline reinforcement learning. IEEE Transactions on Industrial Informatics, 2022. (SCI一区TOP)（课题组成员：肖秧、张苏男和刘博程）
[6] Bo Hu, et al. An adaptive hierarchical energy management strategy for hybrid electric vehicles combining heuristic domain knowledge and data-driven deep reinforcement learning. IEEE Transactions on Transportation Electrification, 2021. (SCI一区TOP)（课题组成员：李家曦）
[7] Bo Hu, et al. A Deployment-efficient Energy Management Strategy for Connected Hybrid Electric Vehicle based on Offline Reinforcement Learning. IEEE Transactions on Industrial Electronics, 2021. (SCI一区TOP)（课题组成员：李家曦）
[8] Bo Hu, et al. Shifting Deep Reinforcement Learning Algorithm towards Training Directly in Transient Real-World Environment: A Case Study in Powertrain Control. IEEE Transactions on Industrial Informatics, 2021. (SCI一区TOP)（课题组成员：李家曦）
[9] Bo Hu, et al. An Edge Computing Framework for Powertrain Control System Optimization of Intelligent and Connected Vehicles based on Curiosity-driven Deep Reinforcement Learning. IEEE Transactions on Industrial Electronics, 2020. (SCI一区TOP)（课题组成员：李家曦）
[10] Bo Hu, et al. A Hybrid End-to-End Control Strategy Combining Deep Reinforcement Learning and PID for Transient Boost Control of a Diesel Engine with Variable Geometry Turbocharger and Cooled EGR. Energies, 2019. (SCI)（课题组成员：李家曦）
[11] Bo Hu, et al. Intelligent Control Strategy for Transient Response of a Variable Geometry Turbocharger System Based on Deep Reinforcement Learning. Processes, 2019. (SCI)（课题组成员：李家曦）
[12] Bo Hu, et al. Reinforcement Learning Approach to Design Practical Adaptive Control for a Small-scale Intelligent Vehicle. Symmetry, 2019 (SCI)
（课题组成员：李家曦、孙友长）
[13] Bo Hu, et al. Progress and recent trends in 48 V hybridisation and e-boosting technology on passenger vehicles – a review. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2018 (SCI)
[14] Bo Hu, et al. Experimental analysis of the V-Charge variable drive supercharger system on a 1.0 L GTDI engine. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2018 (SCI)
[15] Bo Hu, et al. Observations on and potential trends for mechanically supercharging a downsized passenger car engine: a review. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2017 (SCI)
[16] Bo Hu, et al. Novel approaches to improve the gas exchange process of downsized turbocharged spark-ignition engines: A review. International Journal of Engine Research, 2016 (SCI)
[17] Bo Hu, et al. Fuel Efficiency Optimization for a Divided Exhaust Period Regulated Two-Stage Downsized Spark Ignition Engine. ASME Journal of Engineering for Gas Turbines and Power, 2016 (SCI)
[18] Bo Hu, et al. A New De-throttling Concept in a Twin-charged Gasoline Engine System. SAE International Journal of Engines, 2015 (EI)
[19] Bo Hu, et al. 1-D Simulation Study of Divided Exhaust Period for a Highly Downsized Turbocharged SI Engine - Scavenge Valve Optimization. SAE International Journal of Engines, 2014 (EI)