An interdisciplinary survey on origin-destination flows modeling: Theory and techniques

C Rong, J Ding, Y Li - ACM Computing Surveys, 2024 - dl.acm.org
Origin-destination (OD) flow modeling is an extensively researched subject across multiple
disciplines, such as the investigation of travel demand in transportation and spatial …

Towards urban general intelligence: A review and outlook of urban foundation models

W Zhang, J Han, Z Xu, H Ni, H Liu, H **ong - arxiv preprint arxiv …, 2024 - arxiv.org
Machine learning techniques are now integral to the advancement of intelligent urban
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …

Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook

X Zou, Y Yan, X Hao, Y Hu, H Wen, E Liu, J Zhang… - Information …, 2025 - Elsevier
As cities continue to burgeon, Urban Computing emerges as a pivotal discipline for
sustainable development by harnessing the power of cross-domain data fusion from diverse …

Urbankg: An urban knowledge graph system

Y Liu, J Ding, Y Fu, Y Li - ACM Transactions on Intelligent Systems and …, 2023 - dl.acm.org
Every day, our living city produces a tremendous amount of spatial-temporal data, involved
with multiple sources from the individual scale to the city scale. Undoubtedly, such massive …

Urbanclip: Learning text-enhanced urban region profiling with contrastive language-image pretraining from the web

Y Yan, H Wen, S Zhong, W Chen, H Chen… - Proceedings of the …, 2024 - dl.acm.org
Urban region profiling from web-sourced data is of utmost importance for urban computing.
We are witnessing a blossom of LLMs for various fields, especially in multi-modal data …

UUKG: Unified urban knowledge graph dataset for urban spatiotemporal prediction

Y Ning, H Liu, H Wang, Z Zeng… - Advances in Neural …, 2023 - proceedings.neurips.cc
Abstract Accurate Urban SpatioTemporal Prediction (USTP) is of great importance to the
development and operation of the smart city. As an emerging building block, multi-sourced …

Urban foundation models: A survey

W Zhang, J Han, Z Xu, H Ni, H Liu… - Proceedings of the 30th …, 2024 - dl.acm.org
Machine learning techniques are now integral to the advancement of intelligent urban
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …

Urban region embedding via multi-view contrastive prediction

Z Li, W Huang, K Zhao, M Yang, Y Gong… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
Recently, learning urban region representations utilizing multi-modal data (information
views) has become increasingly popular, for deep understanding of the distributions of …

Geolocation representation from large language models are generic enhancers for spatio-temporal learning

J He, T Nie, W Ma - arxiv preprint arxiv:2408.12116, 2024 - arxiv.org
In the geospatial domain, universal representation models are significantly less prevalent
than their extensive use in natural language processing and computer vision. This …

Spatial heterophily aware graph neural networks

C **ao, J Zhou, J Huang, T Xu, H **ong - Proceedings of the 29th ACM …, 2023 - dl.acm.org
Graph Neural Networks (GNNs) have been broadly applied in many urban applications
upon formulating a city as an urban graph whose nodes are urban objects like regions or …