| 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 | 67* | 2021 |
| 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 | 43 | 2017 |
| 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 |
| 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 |
| 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 | 20 | 2024 |
| 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 | 12 | 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 |
| ST-DAGCN: A spatiotemporal dual adaptive graph convolutional network model for traffic prediction Y Liu, T Feng, S Rasouli, M Wong Neurocomputing 601, 128175, 2024 | 5 | 2024 |
| 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 | 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 |
| Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model M Wong, T Rios, S Menzel, YS Ong arXiv preprint arXiv:2406.09143, 2024 | 3 | 2024 |
| Information processing constraints in travel behaviour modelling: A generative learning approach M Wong, B Farooq arXiv preprint arXiv:1907.07036, 2019 | 3 | 2019 |
| LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking M Wong, J Liu, T Rios, S Menzel, YS Ong arXiv preprint arXiv:2406.14917, 2024 | 2 | 2024 |
| Next direction route choice model for cyclist using panel data M Wong, B Farooq, GA Bilodeau | 2 | 2016 |
| Precise-Physics Driven Text-to-3D Generation Q Xu, J Liu, M Wong, C Chen, YS Ong arXiv preprint arXiv:2403.12438, 2024 | 1 | 2024 |
| Latent Class model using discriminative restricted Boltzmann Machine M Wong, B Farooq, GA Bilodeau | 1 | 2017 |
| Finding Sets of Pareto Sets in Real-World Scenarios–A Multitask Multiobjective Perspective J Liu, YS Ong, M Wong 2024 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2024 | | 2024 |
| Prompt Evolutionary Design Optimization with Generative Shape and Vision-Language models M Wong, T Rios, S Menzel, YS Ong 2024 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2024 | | 2024 |
| Towards End-to-End Prompt-Vision-Physics Neural Network for Fast Design Discovery Q Xu, J Liu, M Wong, G Jin, R Lau, YS Ong, S Menzel, T Rios, JH Lim, ... 2024 IEEE Conference on Artificial Intelligence (CAI), 1432-1435, 2024 | | 2024 |
Bilal FarooqLaboratory of Innovations in Transportation (LiTrans), Toronto Metropolitan UniversityVerified email at torontomu.ca
