Ikuti
Melvin Wong
Judul
Dikutip oleh
Dikutip oleh
Tahun
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
70*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
472017
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
442018
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
362020
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
332024
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
132023
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
92024
Modelling latent travel behaviour characteristics with generative machine learning
M Wong, B Farooq
2018 21st International Conference on Intelligent Transportation Systems …, 2018
62018
Latent behaviour modelling using discriminative restricted Boltzmann machines
M Wong, B Farooq, GA Bilodeau
5th International Choice Modeling Conference, 1-18, 2017
62017
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
52024
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
52018
LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking
M Wong, J Liu, T Rios, S Menzel, YS Ong
arXiv preprint arXiv:2406.14917, 2024
42024
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
42024
Information processing constraints in travel behaviour modelling: A generative learning approach
M Wong, B Farooq
arXiv preprint arXiv:1907.07036, 2019
42019
Precise-Physics Driven Text-to-3D Generation
Q Xu, J Liu, M Wong, C Chen, YS Ong
arXiv preprint arXiv:2403.12438, 2024
22024
Next direction route choice model for cyclist using panel data
M Wong, B Farooq, GA Bilodeau
22016
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
12024
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
12024
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
12024
Latent Class model using discriminative restricted Boltzmann Machine
M Wong, B Farooq, GA Bilodeau
12017
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