News

• March 2026: I was pleased to deliver a talk titled “Data, Model, and Intelligence: Travel Behavior Modeling and Demand Prediction” at the Institute of Intelligent Transportation Systems (IITS), Zhejiang University.
• Nov 2025: Our paper “Graph neural networks for residential location choice: connection to classical logit models” was accepted in ISTTT 2026!
• Sept 2025: paper “Railway booking demand forecasting for revenue management: a deep probabilistic approach” (authors: Zhanhong Cheng, Vilmar Jefté Rodrigues de Sousa, Karim Pérez Martínez, Thibault Barbier, and Lijun Sun) was accepted by Transportmetrica A: Transport Science. [Full-text]
• June 2025: paper “Abnormal metro passenger demand is predictable from alighting and boarding correlation” (authors: Zhanhong Cheng, Jiawei Wang, Martin Trépanier, and Lijun Sun) was accepted by Transportation Research Part C: Emerging Technologies. [Full-text] [Slides] [Poster] [Code]
• Jan 2025: I attended the 104th Transportation Research Board Annual Meeting (TRB2025) in Washington D.C., USA. My collaborators and I presented our work in two poster/presentation sessions. Congratulations to Xiaoxu Chen for winning the Best Paper Award from the AED60 TRB Statistical and Econometric Methods Committee!
• Dec 2024: I am glad to give a report on “Modeling Residential Location Choice with Graph Neural Networks” at MIT Urban Mobility Lab. [Slides]
• Nov 2024: I am glad to give a talk on “Travel Behavior for Urban Mobility Prediction” to members of SERMOS Lab and JGT Lab! Thanks for the invitation from Dr. Xiang (Jacob) Yan and Dr. Xilei Zhao.
• August 2024: Our paper “Predicting metro incident duration using structured data and unstructured text logs” (authors: Yangyang Zhao, Zhenliang Ma, Hui Peng, and Zhanhong Cheng*) was accepted by Transportmetrica A: Transport Science. [Full-text]
• August 2024: I began my role as a Postdoctoral Associate at the Urban AI Lab, University of Florida.
• August 2024: Updated my photo.

  

• July 2024: I presented “Anomalies in metro passenger demand are predictable – learning causality with ABTransformer” at TransitData 2024, London. [Slides] [Preprint] [Code]
• June 2024: Our paper “Laplacian convolutional representation for traffic time series imputation” (authors: Xinyu Chen, Zhanhong Cheng, HanQin Cai, Nicolas Saunier, Lijun Sun) was accepted by IEEE Transactions on Knowledge and Data Engineering. [Slides] [Code]
• May 2024: Our paper “Traffic state estimation from vehicle trajectories with anisotropic Gaussian processes” was accepted by Transportation Research Part C: Emerging Technologies!
• Jan 2024: I attended the 103rd Transportation Research Board Annual Meeting (TRB2024) in Washington D.C., USA. My collaborators and I presented our work in three poster/presentation sessions.
• Oct 2023: I presented “The Regularity, Predictability, and Travel Behavior in Urban Transit Mobility” in the ITE Student Chapter at the University of Toronto. [Slides]
• Sept 2023: Our paper “Probabilistic forecasting of bus travel time with a Bayesian Gaussian mixture model” was accepted by Transportation Science.
• Mar 2023: Our paper “A large-scale empirical study on impacting factors of taxi charging station utilization” was accepted by Transportation Research Part D: Transport and Environment.
• Nov 2022: Our paper “Real-time forecasting of metro origin-destination matrices with high-order weighted dynamic mode decomposition” was awarded the 2nd best paper award at CASPT and TransitData 2022 🏅.
• Aug 2022: I joined as a postdoctoral researcher in Smart Transportation Lab at McGill University.
• Apr 2022: I passed my Ph.D. oral defense.
• Jan 2022: Paper “Real-time forecasting of metro origin-destination matrices with high-order weighted dynamic mode decomposition” accepted by Transportation Science.
• Apr 2021: I presented the 1st edition of Zooming in on Collaborative Digital Intelligence [video recording].
• Dec 2020: I received CIRRELT Excellence Scholarships (Doctoral Rédaction).
• Nov 2020: Updated my photo.

  

• Nov 2020: Created this website.