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Yang, Hai   Chen, Xiqun (Michael)   Civil engineering   Traffic engineering   Material science   Computer Science   Clear all

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    Understanding ridesplitting behavior of on-demand ride services: An ensemble learning approach

    Chen, Xiqun (Michael) / Zahiri, Majid / Zhang, Shuaichao | Elsevier | 2016
    Keywords: Ensemble learning

    Physics of day-to-day network flow dynamics

    Xiao, Feng / Yang, Hai / Ye, Hongbo | Elsevier | 2016
    Keywords: User learning

    Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach

    Ke, Jintao / Zheng, Hongyu / Yang, Hai et al. | Elsevier | 2017
    Keywords: Deep learning (DL)

    Multi-model ensemble for short-term traffic flow prediction under normal and abnormal conditions

    Free access
    Chen, Xiqun (Michael) / Zhang, Shuaichao / Li, Li | IET | 2018
    Keywords: learning (artificial intelligence) , ensemble learning algorithm

      Multi‐model ensemble for short‐term traffic flow prediction under normal and abnormal conditions

      Free access
      Chen, Xiqun (Michael) / Zhang, Shuaichao / Li, Li | Wiley | 2019
      Keywords: ensemble learning algorithm , learning (artificial intelligence)

    PCA-based missing information imputation for real-time crash likelihood prediction under imbalanced data

    Ke, Jintao / Zhang, Shuaichao / Yang, Hai et al. | Taylor & Francis Verlag | 2019
    Keywords: cost-sensitive learning

    Integrating probabilistic tensor factorization with Bayesian supervised learning for dynamic ridesharing pattern analysis

    Zhu, Zheng / Sun, Lijun / Chen, Xiqun et al. | Elsevier | 2020
    Keywords: Supervised learning

    Day-to-day dynamics with advanced traveler information

    Ye, Hongbo / Xiao, Feng / Yang, Hai | Elsevier | 2020
    Keywords: Traveler learning and prediction

    Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network

    Ke, Jintao / Qin, Xiaoran / Yang, Hai et al. | Elsevier | 2020
    Keywords: Deep learning model

    Joint predictions of multi-modal ride-hailing demands: A deep multi-task multi-graph learning-based approach

    Ke, Jintao / Feng, Siyuan / Zhu, Zheng et al. | Elsevier | 2021
    Keywords: Deep multi-task learning

    Spatial-temporal pricing for ride-sourcing platform with reinforcement learning

    Chen, Chuqiao / Yao, Fugen / Mo, Dong et al. | Elsevier | 2021
    Keywords: Reinforcement learning

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