吴京达

代表论文:

车辆智能决策/导航方向

[1] Wu J, Zhou Y, Yang H, et al. Human-guided reinforcement learning with sim-to-real transfer for autonomous navigation. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI). 2023, 45(12): 14745-14759. (IF=20.8, SCI一区Top)

[2] Wu J, Huang Z, Hu Z, et al. Towards human-in-the-loop AI: enhancing deep reinforcement learning via real-time human guidance for end-to-end autonomous driving. Engineering. 2023, 21: 75-91. (IF=10.1, SCI一区Top) (ESI 高被引，《Engineering》年度高影响论文奖)

[3] Wu J, Huang Z, Huang W et al. Prioritized experience-based reinforcement learning with human guidance for autonomous driving. IEEE Transactions on Neural Networks and Learning Systems (T-NNLS). 2024, 35(1): 855-869. (IF= 10.2, SCI一区Top) (ESI 热点)

[4] He X, Wu J, Huang Z, et al. Fear-neuro-inspired reinforcement learning for safe autonomous driving. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI). 2024, 46(1): 267-279. (IF=20.8, SCI一区Top)

[5] Wu J, Song Z, Lv C. Energy-efficient behavioral decision-making of autonomous electric vehicle based on deep reinforcement learning. IEEE Transactions on Transportation Electrification (T-TE). 2024, 10(1): 875-887. (IF=7.2, SCI一区Top) (ESI 高被引)

[6] Wu J, Yang H, Yang L, et al. Human-guided deep reinforcement learning for optimal decision making of autonomous vehicles. IEEE Transactions on Systems, Man, and Cybernetics: Systems (T-SMCA). 2024, 54(11): 6595 – 6609. (IF=8.6, SCI一区Top)

[7] Huang Z, Wu J, Lv C. Driving behavior modeling using naturalistic human driving data with inverse reinforcement learning. IEEE Transactions on Intelligent Transportation Systems (T-ITS). 2021, 23 (8), 10239-10251. (IF= 7.9, SCI一区Top) (ESI 高被引)

[8] Wu J, Huang Z, Lv C. Uncertainty-aware model-based reinforcement learning: method and application in autonomous driving. IEEE Transactions on Intelligent Vehicles (T-IV). 2023, 8(1):194-203. (IF=14.0, SCI一区Top) (ESI 高被引)

车辆智能节能控制方向

[9] Wu J, Huang C, He H, et al. Confidence-aware reinforcement learning for power allocation of electrified vehicles. Renewable and Sustainable Energy Reviews. 2024, 191, 114154. (IF=16.3, SCI一区Top)

[10] Wu J, Wei Z, He H, et al. Ensembled traffic-aware transformer-based predictive energy management for electrified vehicles. IEEE Transactions on Intelligent Transportation Systems (T-ITS). 2024, 25(9): 12333-12346. (IF= 7.9, SCI一区Top)

[11] Wang Y, Wu J, He H*, et al. Data-driven energy management for electric vehicles using offline reinforcement learning. Nature Communications, 2025, 2835.(IF=16.6, SCI一区Top)

[12] Wu J, Peng J, Li M, et al. Enhancing fuel cell electric vehicle efficiency with TIP-EMS: A trainable integrated predictive energy management approach. Energy Conversion and Management. 2023, 310, 118499. (IF= 9.9, SCI一区Top)

[13] Wei Z, Quan Z, Wu J*, et al. Deep deterministic policy gradient-DRL enabled multiphysics-constrained fast charging of lithium-ion battery. IEEE Transactions on Industrial Electronics (T-IE), 2022, 69(3): 2588-2598. (IF=7.5, SCI一区Top) (ESI 高被引)

[14] Wu J, Wei Z, Li W, et al. Battery thermal-and health-constrained energy management for hybrid electric bus based on soft actor-critic DRL algorithm. IEEE Transactions on Industrial Informatics (T-II). 2021; 17(6): 3751-3761. (IF=11.7, SCI一区Top) (ESI 热点)

[15] Wu J, Wei Z, Liu K, et al. Battery-involved energy management for hybrid electric bus based on expert-assistance deep deterministic policy gradient algorithm. IEEE Transactions on Vehicular Technology (T-VT). 2020; 69(11):12786-96. (IF=6.1, SCI二区Top) (ESI 高被引)

[16] Wu J, He H, Peng J, et al. Continuous reinforcement learning of energy management with deep Q network for a power split hybrid electric bus. Applied Energy. 2018; 222:799-811. (IF=10.1, SCI一区Top) (ESI 高被引)

研究项目：

[1] 国家高层次青年人才项目，主持

[2] 香港研究资助局（RGC）PDFS人才项目，主持

[3] 香港理工大学研究基金，主持

[4] 香港运输署智慧交通基金，项目骨干

[5] 国家重点研发计划课题，项目骨干