Implementation of the HiUrNet in the paper: Explainable Hierarchical Urban Representation Learning for Commuting Flow Prediction (ACM SIGSPATIAL 2024)
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Updated
Sep 29, 2024 - Python
Implementation of the HiUrNet in the paper: Explainable Hierarchical Urban Representation Learning for Commuting Flow Prediction (ACM SIGSPATIAL 2024)
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Prediction of trip duration in bicycle sharing systems using coarse-grained station representation
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Exploring UrbanAccess to determine walkability/transit accessibility in San Francisco and Waterloo
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Urban Computing 2021 Research Project @ Leiden University
This repository contains source code implementation of projects for NTU's MSAI course AI6128 on Urban Computing (2020 Sem 1).
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Repository for ''Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale''
STCF: Spatial-Temporal Contrasting for Fine-Grained Urban Flow inference. IEEE Transactions on Big Data, 2023.
OpenAI-gym-like Reinforcement Learning environment for Dispatching of Mobile Chargers with SUMO. Compatible with Gym and popular RL libraries such as stable-baselines3.
[CIKM'2024] "EasyST: A Simple Framework for Spatio-Temporal Prediction"
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