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Biblio Author: Dingyi Zhuang

  • 2022

    The Braess’s Paradox in Dynamic Traffic

    • Dingyi Zhuang
    • Yuzhu Huang
    • Vindula Jayawardana
    • Jinhua Zhao
    • Dajiang Suo
    • Cathy Wu
    2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
    ,
    2022
  • 2024

    Uncertainty Quantification of Spatiotemporal Travel Demand With Probabilistic Graph Neural Networks

    • Qingyi Wang
    • Shenhao Wang
    • Dingyi Zhuang
    • Haris Koutsopoulos
    • Jinhua Zhao
    IEEE Transactions on Intelligent Transportation Systems
    ,
    2024
  • 2023

    ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks

    • Zepu Wang
    • Dingyi Zhuang
    • Yankai Li
    • Jinhua Zhao
    • Peng Sun
    • Shenhao Wang
    • Yulin Hu
    2023 IEEE 26th International Conference on Intelligent Transportation Systems
    ,
    2023
  • 2023

    SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks

    • Dingyi Zhuang
    • Yuheng Bu
    • Guang Wang
    • Shenhao Wang
    • Jinhua Zhao
    Temporal Graph Learning Workshop @ NeurIPS 2023
    ,
    2023
  • 2023

    Fairness-enhancing deep learning for ride-hailing demand prediction

    • Yunhan Zheng
    • Qingyi Wang
    • Dingyi Zhuang
    • Shenhao Wang
    • Jinhua Zhao
    IEEE Open Journal of Intelligent Transportation Systems
    ,
    Volume
    4
    ,
    2023
  • 2022

    Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks

    • Dingyi Zhuang
    • Shenhao Wang
    • Haris Koutsopoulos
    • Jinhua Zhao
    The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
    ,
    2022

Massachusetts Institute of Technology | Department of Urban Studies and Planning | Jinhua Zhao | Accessibility

77 Massachusetts Ave. MIT 9-523, Cambridge, MA, 02139 | jinhua@mit.edu | 617-324-7594