About me

I am a first-year MST student at MIT Urban Mobility Lab supervised by Prof. Jinhua Zhao. I previously received my M.Eng degree at McGill University, supervised by Prof. Lijun Sun. Before that, I obtained my Bachelor’s degree in Mechanical Engineering from Shanghai Jiao Tong University and was a research assistant at National University of Singapore. My supervisors at two universities are Prof. Jiangang Jin and Prof. Lee Der-Horng respectively. Click here to view my up-to-date CV. If you want to know more about me, please feel free to contact me (dingyi@mit.edu).

Research Interests

  • Urban computing & smart city
  • Graph neural network & complex network
  • Spatiotemporal data mining
  • Bayesian probabilistic factorization models
  • Reinforcement learning based traffic control

My research interests lie in spatial-temporal data mining and urban computing. Three particular questions are (1) how to adapt advanced graph network methods on transportation system, especially to infer/forecast the states/values of unseen nodes in the network (2) how to utilize interpretability of probabilistic factorization models on mobility modeling (3) how physical traffic flow models can be integrated with (differentiable) deep learning.

Publication

Journal

  • Dingyi Zhuang, Siyu Hao, Lee Der-Horng, Jiangang Jin, From compound word to metropolitan station: Semantic similarity analysis using smart card data, Transportation Research Part C: Emerging Technology). PPT doi code

  • Dingyi Zhuang, Jiangang Jin, Yifan Shen, Wei Jiang, Understanding the bike sharing travel demand and cycle lane network: the case of Shanghai, International Journal of Sustainable Transportation. PDF doi

  • Siyu Hao, Dingyi Zhuang, Der-Horng Lee, A spatial-temporal Deep Learning Framework for Network-wide Bus Passenger Flow prediction. IET Intelligent Transport Systems (Provisionally accepted) PDF

Conference

  • Yuankai Wu, Dingyi Zhuang, Aurelie Labbe, Lijun Sun, Inductive graph neural networks for spatiotemporal kriging, Association for the Advancement of Artificial Intelligence 2021 (AAAI 2021). (In proceeding) arXiv code

  • Dingyi Zhuang, Jiangang Jin, Yifan Shen, Wei Jiang, An empirical study on cycle lane network using bike sharing data: the case of Shanghai, 2018 International Conference on Transportation and Space-time Economics. (Presentation) PPT

  • Siyu Hao, Dingyi Zhuang, De Zhao, Der-Horng Lee, A Pseudo-3D Convolutional Neural Network based Framework for Short-term Mixed Passenger Flow Prediction in Large-scale Public Transit, Transportation Research Board 2020. (Presentation) PDF

Working paper

  • Yuankai Wu, Dingyi Zhuang, Aurelie Labbe, Lijun Sun, Neural Spatiotemporal Point Process for City-Scale Traffic Accident Modeling. (2020, in submission to Analytic Methods in Accident Research)

  • Dingyi Zhuang, Lijun Sun, Modeling Paratransit Demand with Hankel-structured Poisson Tensor Factorization (2020) PDF
  • Dingyi Zhuang, Zhenyuan Ma, Lijun Sun, Reinforcement Learning-based Traffic Signal Control in Special Scenario (2020) PDF
  • Fuqiang Liu, Jiawei Wang, Dingyi Zhuang, Jingbo Tian, Luis Miranda-Moreno, Lijun Sun. A General Framework Based on Temporally Dynamic Adjacency Matrix for Long-Term Traffic Prediction (2019).

News

  • Mar 8 2021. I was admitted by MIT Interdepartmental Program in Transportation!

  • Our paper “Inductive Graph Neural Networks for Spatiotemporal Kriging” was accepted by AAAI 2021! arXiv Github

  • Aug 2020. I luckily passed the application of Mitacs Accelerate to be an intern in ExPretio.

  • June 2020. A paper titled “Inductive Graph Neural Networks for Spatiotemporal Kriging” has been posted in arXiv, the open-source code can be found Github.

  • October 22, 2019. my paper with Dr. Siyu Hao, A Pseudo-3D Convolutional Neural Network based Framework for Short-term Mixed Passenger Flow Prediction in Large-scale Public Transit is accepted for presentation in Transportation Research Board 2020.

  • September 3, 2019. I enrolled McGill University as a master (thesis) student in the Department of Civil Engineering and Applied Mechanics

  • December 12, 2018. My work in NUS, From compound word to metropolitan station: Semantic similarity analysis using smart card data, was submitted to Transportation Research Part C: Emerging Technologies.

  • October 13, 2018. I will report in WCTR Society’s SIG G2 Mid-Term Workshop in Beijing.

  • September 15, 2018. An abstract was submitted to The 19th COTA International Conference of Transportation Professionals (COTA CICTP 2019 )

  • September 9, 2018. I made oral presentation in The Sixth International Conference on Transportation and Logistics (6th T-LOG ).

  • August 6, 2018. A paper was accepted in The 6th International Conference on Transportation and Space-time Economics (TSTE 2018 ).

  • July 9, 2018. I start my research in National University of Singapore under the guidance of Prof. Lee Der-Horng.

  • May 16, 2018. A paper was accepted in The Sixth International Conference on Transportation and Logistics (6th T-LOG ).

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