Rongye Shi
Education Level:博士研究生
Alma Mater:Carnegie Mellon University
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Rongye Shi,Zhaobin Mo,Kuang Huang,Qiang Du.A physics-informed deep learning paradigm for traffic state and fundamental diagram estimation.[J]:IEEE Transactions on Intelligent Transportation Systems,2022,23(8):11688-11698
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Xiaolin Liu,Rongye Shi,Qianxin Hui,Susu Xu,Shuai Wang,Rui Na,Ying Sun,Wenbo Ding.TCACNet: Temporal and channel attention convolutional network for motor imagery classification of EEG-based BCI.[J]:Information Processing and Management,2022,59(5):103001
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Cristian Axenie,Rongye Shi,Daniele Foroni,Alexander Wieder,Mohamad Al Hajj Hassan,Paolo Sottovia,Margherita Grossi,Stefano Bortoli,Gotz Brasche.OBELISC: Oscillator-Based Modelling and Control Using Efficient Neural Learning for Intelligent Road Traffic Signal Calculation.[C]:ECML-PKDD 2021,2021
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Rongye Shi,Zhaobin Mo,Xuan Di.Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models.[C]:AAAI Conference on Artificial Intelligence,2021:540-547
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Rongye Shi,Peter Steenkiste,Manuela M. Veloso.Improving the On-Vehicle Experience of Passengers Through SC-M*: A Scalable Multi-Passenger Multi-Criteria Mobility Planner.[J]:IEEE Transactions on Intelligent Transportation Systems,2021,22(2):1026-1040
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