ResLogit: A residual neural network logit model for data-driven choice modelling M Wong, B Farooq Transportation Research Part C: Emerging Technologies 126, 103050, 2021 | 59* | 2021 |
Discriminative conditional restricted Boltzmann machine for discrete choice and latent variable modelling M Wong, B Farooq, GA Bilodeau Journal of choice modelling 29, 152-168, 2018 | 42 | 2018 |
An investigation into machine learning approaches for forecasting spatio-temporal demand in ride-hailing service I Saadi, M Wong, B Farooq, J Teller, M Cools arXiv preprint arXiv:1703.02433, 2017 | 38 | 2017 |
A bi-partite generative model framework for analyzing and simulating large scale multiple discrete-continuous travel behaviour data M Wong, B Farooq Transportation Research Part C: Emerging Technologies 110, 247-268, 2020 | 36 | 2020 |
Battery swapping demand simulation for electric micromobility vehicles considering multi-source information interaction and behavior decision F Zhang, H Lyu, Y Ji, M Wong, C Kuai, J Fan Journal of Cleaner Production 414, 137525, 2023 | 7 | 2023 |
Modelling latent travel behaviour characteristics with generative machine learning M Wong, B Farooq 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 6 | 2018 |
Latent behaviour modelling using discriminative restricted Boltzmann machines M Wong, B Farooq, GA Bilodeau 5th International Choice Modeling Conference, 1-18, 2017 | 6 | 2017 |
RT-GCN: Gaussian-based spatiotemporal graph convolutional network for robust traffic prediction Y Liu, S Rasouli, M Wong, T Feng, T Huang Information Fusion 102, 102078, 2024 | 5 | 2024 |
Discriminative conditional restricted Boltzmann machine for discrete choice and latent variable modelling. J. Choice Model. 29, 152–168 M Wong, B Farooq, GA Bilodeau Springer Nature remains neutral with regard to jurisdictional claims in …, 2018 | 5 | 2018 |
Information processing constraints in travel behaviour modelling: A generative learning approach M Wong, B Farooq arXiv preprint arXiv:1907.07036, 2019 | 3 | 2019 |
Next direction route choice model for cyclist using panel data M Wong, B Farooq, GA Bilodeau | 2 | 2016 |
Activity-Based travel chain simulation for Battery-Swapping demand of electric micromobility vehicles H Lv, F Zhang, M Wong, Q Xing, Y Ji Transportation Research Part D: Transport and Environment 126, 104022, 2024 | 1 | 2024 |
Latent Class model using discriminative restricted Boltzmann Machine M Wong, B Farooq, GA Bilodeau | 1 | 2017 |
RoutesFormer: A sequence-based route choice Transformer for efficient path inference from sparse trajectories S Qiu, G Qin, M Wong, J Sun Transportation Research Part C: Emerging Technologies 162, 104552, 2024 | | 2024 |
Precise-Physics Driven Text-to-3D Generation Q Xu, J Liu, M Wong, C Chen, YS Ong arXiv preprint arXiv:2403.12438, 2024 | | 2024 |
Improving the neural-embedded discrete choice model (TasteNet) to capture inter-and intra-personal random taste heterogeneity M Wong, F Liao IATBR-17th International Conference on Travel Behavior Research, 2024 | | 2024 |
Activity-Based Travel Chain Simulation for Battery-Swapping Demand of Delivery Electric Micromobility Vehicles Z Xu, F Zhang, C Kuai, M Wong, Y Ji, Q Meng 103rd Transportation Research Board Annual Meeting, 2024 | | 2024 |
Specification, identification, and new insights of the neural-embedded choice model--an investigation of the TasteNet model M Wong, F Liao International Choice Modelling Conference, 2024 | | 2024 |
Acceptance of Intelligent Battery Swapping Service for Electric Micromobility Vehicles: Evidence from Jiangsu Province, China F Zhang, H Lyu, M Wong, Y Ji, C Kuai, J Fan | | 2023 |
Unimodal Ordinal Logit: A Logit Model with a Utility-Correction Term Capturing Correlations from Ordinal Responses M Wong, S Varotto, M Bierlaire Available at SSRN 4220600, 2022 | | 2022 |