Yun Li

Orcid: 0000-0002-3205-8464

Affiliations:
  • George Mason University, Fairfax, VA, USA


According to our database1, Yun Li authored at least 26 papers between 2016 and 2024.

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Bibliography

2024
STES: A Spatiotemporal Explanation Supervision Framework.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Adopting GPU computing to support DL-based Earth science applications.
Int. J. Digit. Earth, December, 2023

Deep Spatial Prediction via Heterogeneous Multi-source Self-supervision.
ACM Trans. Spatial Algorithms Syst., September, 2023

Graph Neural Network for spatiotemporal data: methods and applications.
CoRR, 2023

Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models.
CoRR, 2023

2022
A high spatiotemporal resolution framework for urban temperature prediction using IoT data.
Comput. Geosci., 2022

Challenges and opportunities of the spatiotemporal responses to the global pandemic of COVID-19.
Ann. GIS, 2022

Deep Spatial Domain Generalization.
Proceedings of the IEEE International Conference on Data Mining, 2022

Deep geometric neural network for spatial interpolation.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

2021
COVID-Scraper: An Open-Source Toolset for Automatically Scraping and Processing Global Multi-Scale Spatiotemporal COVID-19 Records.
IEEE Access, 2021

2020
Spatiotemporal Patterns and Driving Factors on Crime Changing During Black Lives Matter Protests.
ISPRS Int. J. Geo Inf., 2020

Improving search ranking of geospatial data based on deep learning using user behavior data.
Comput. Geosci., 2020

Building an Open Resources Repository for COVID-19 Research.
Data Inf. Manag., 2020

Taking the pulse of COVID-19: a spatiotemporal perspective.
Int. J. Digit. Earth, 2020

A hierarchical indexing strategy for optimizing Apache Spark with HDFS to efficiently query big geospatial raster data.
Int. J. Digit. Earth, 2020

An On-Demand Service for Managing and Analyzing Arctic Sea Ice High Spatial Resolution Imagery.
Data, 2020

An Environmental Data Collection for COVID-19 Pandemic Research.
Data, 2020

2019
Daytime Rainy Cloud Detection and Convective Precipitation Delineation Based on a Deep Neural Network Method Using GOES-16 ABI Images.
Remote. Sens., 2019

Planetary Defense Mitigation Gateway: A One-Stop Gateway for Pertinent PD-Related Contents.
Data, 2019

2018
A Smart Web-Based Geospatial Data Discovery System with Oceanographic Data as an Example.
ISPRS Int. J. Geo Inf., 2018

Towards intelligent geospatial data discovery: a machine learning framework for search ranking.
Int. J. Digit. Earth, 2018

2017
Utilizing Cloud Computing to address big geospatial data challenges.
Comput. Environ. Urban Syst., 2017

A comprehensive methodology for discovering semantic relationships among geospatial vocabularies using oceanographic data discovery as an example.
Int. J. Geogr. Inf. Sci., 2017

2016
Reconstructing Sessions from Data Discovery and Access Logs to Build a Semantic Knowledge Base for Improving Data Discovery.
ISPRS Int. J. Geo Inf., 2016


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