When urban region profiling meets large language models
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 …
and sustainable development. We are witnessing a rising trend of LLMs for various fields …
Knowledge-infused contrastive learning for urban imagery-based socioeconomic prediction
Monitoring sustainable development goals requires accurate and timely socioeconomic
statistics, while ubiquitous and frequently-updated urban imagery in web like satellite/street …
statistics, while ubiquitous and frequently-updated urban imagery in web like satellite/street …
Downscaling earth system models with deep learning
Modern climate models offer simulation results that provide unprecedented details at the
local level. However, even with powerful supercomputing facilities, their computational …
local level. However, even with powerful supercomputing facilities, their computational …
Urbanclip: Learning text-enhanced urban region profiling with contrastive language-image pretraining from the web
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 …
We are witnessing a blossom of LLMs for various fields, especially in multi-modal data …
Urban Region Pre-training and Prompting: A Graph-based Approach
Urban region representation is crucial for various urban downstream tasks. However,
despite the proliferation of methods and their success, acquiring general urban region …
despite the proliferation of methods and their success, acquiring general urban region …
Fine-Grained Socioeconomic Prediction from Satellite Images with Distributional Adjustment
While measuring socioeconomic indicators is critical for local governments to make informed
policy decisions, such measurements are often unavailable at fine-grained levels like …
policy decisions, such measurements are often unavailable at fine-grained levels like …
Using maps to predict economic activity
I Jeong, H Yang - arXiv preprint arXiv:2112.13850, 2021 - arxiv.org
We introduce a novel machine learning approach to leverage historical and contemporary
maps and systematically predict economic statistics. Our simple algorithm extracts …
maps and systematically predict economic statistics. Our simple algorithm extracts …