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 …

Remote Sensing Image Interpretation: Deep Belief Networks for Multi-Object Analysis

MW Ahmed, A Alshahrani, A Almjally… - Ieee …, 2024 - ieeexplore.ieee.org
Object Classification in Remote Sensing Imagery holds paramount importance for extracting
meaningful insights from complex aerial scenes. Conventional methods encounter …

Geographic mapping with unsupervised multi-modal representation learning from VHR images and POIs

L Bai, W Huang, X Zhang, S Du, G Cong… - ISPRS Journal of …, 2023 - Elsevier
Most supervised geographic mapping methods with very-high-resolution (VHR) images are
designed for a specific task, leading to high label-dependency and inadequate task …

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 …

When urban region profiling meets large language models

Y Yan, H Wen, S Zhong, W Chen, H Chen… - arXiv preprint arXiv …, 2023 - arxiv.org
Urban region profiling from web-sourced data is of utmost importance for urban planning
and sustainable development. We are witnessing a rising trend of LLMs for various fields …

Knowledge-infused contrastive learning for urban imagery-based socioeconomic prediction

Y Liu, X Zhang, J Ding, Y Xi, Y Li - … of the ACM Web Conference 2023, 2023 - dl.acm.org
Monitoring sustainable development goals requires accurate and timely socioeconomic
statistics, while ubiquitous and frequently-updated urban imagery in web like satellite/street …

Towards an integrated view of semantic annotation for POIs with spatial and textual information

D Zhang, R Xu, W Huang, K Zhao, M Chen - Proceedings of the Thirty …, 2023 - dl.acm.org
Categories of Point of Interest (POI) facilitate location-based services from many aspects like
location search and POI recommendation. However, POI categories are often incomplete …

A satellite imagery dataset for long-term sustainable development in united states cities

Y Xi, Y Liu, T Li, J Ding, Y Zhang, S Tarkoma, Y Li… - Scientific data, 2023 - nature.com
Cities play an important role in achieving sustainable development goals (SDGs) to promote
economic growth and meet social needs. Especially satellite imagery is a potential data …

Predicting multi-level socioeconomic indicators from structural urban imagery

T Li, S Xin, Y Xi, S Tarkoma, P Hui, Y Li - Proceedings of the 31st ACM …, 2022 - dl.acm.org
Understanding economic development and designing government policies requires
accurate and timely measurements of socioeconomic activities. In this paper, we show how …

Self-supervised Learning for Geospatial AI: A Survey

Y Chen, W Huang, K Zhao, Y Jiang, G Cong - arXiv preprint arXiv …, 2024 - arxiv.org
The proliferation of geospatial data in urban and territorial environments has significantly
facilitated the development of geospatial artificial intelligence (GeoAI) across various urban …