Yun Li

According to our database, Yun Li authored at least 27 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

GPT, large language models (LLMs) and generative artificial intelligence (GAI) models in geospatial science: a systematic review.

Siqin Wang, Tao Hu, Huang Xiao, Yun Li, Ce Zhang, Huan Ning, Rui Zhu, Zhenlong Li, Xinyue Ye

Int. J. Digit. Earth, December, 2024

STES: A Spatiotemporal Explanation Supervision Framework.

Dazhou Yu, Binbin Chen, Yun Li, Suman Dhakal, Yifei Zhang, Zhenke Liu, Minxing Zhang, Jie Zhang, Liang Zhao

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph.

Dazhou Yu, Yuntong Hu, Yun Li, Liang Zhao

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.

Dazhou Yu, Xiaoyun Gong, Yun Li, Meikang Qiu, Liang Zhao

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.

Zifu Wang, Yun Li, Kevin Wang, Jacob Cain, Mary Salami, Daniel Q. Duffy, Michael M. Little, Chaowei Yang

Int. J. Digit. Earth, December, 2023

Deep Spatial Prediction via Heterogeneous Multi-source Self-supervision.

Minxing Zhang, Dazhou Yu, Yun Li, Liang Zhao

ACM Trans. Spatial Algorithms Syst., September, 2023

Graph Neural Network for spatiotemporal data: methods and applications.

Yun Li, Dazhou Yu, Zhenke Liu, Minxing Zhang, Xiaoyun Gong, Liang Zhao

CoRR, 2023

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

Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Carl Yang, Liang Zhao

CoRR, 2023

2022

A high spatiotemporal resolution framework for urban temperature prediction using IoT data.

Jingchao Yang, Manzhu Yu, Qian Liu, Yun Li, Daniel Q. Duffy, Chaowei Yang

Comput. Geosci., 2022

Challenges and opportunities of the spatiotemporal responses to the global pandemic of COVID-19.

Chaowei Phil Yang, Shuming Bao, Wendy Guan, Kate Howell, Tao Hu, Hai Lan, Yun Li, Qian Liu, Jennifer Smith, Anusha Srirenganathan Malarvizhi, Theo Trefonides, Kevin Wang, Zifu Wang

Ann. GIS, 2022

Deep Spatial Domain Generalization.

Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao

Proceedings of the IEEE International Conference on Data Mining, 2022

Deep geometric neural network for spatial interpolation.

Minxing Zhang, Dazhou Yu, Yun Li, Liang Zhao

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.

Hai Lan, Dexuan Sha, Anusha Srirenganathan Malarvizhi, Yi Liu, Yun Li, Nadine Meister, Qian Liu, Zifu Wang, Jingchao Yang, Chaowei Phil Yang

IEEE Access, 2021

2020

Spatiotemporal Patterns and Driving Factors on Crime Changing During Black Lives Matter Protests.

Zhiran Zhang, Dexuan Sha, Beidi Dong, Shiyang Ruan, Agen Qiu, Yun Li, Jiping Liu, Chaowei Yang

ISPRS Int. J. Geo Inf., 2020

Improving search ranking of geospatial data based on deep learning using user behavior data.

Yun Li, Yongyao Jiang, Chaowei Yang, Manzhu Yu, Lara Kamal, Edward M. Armstrong, Thomas S. Huang, David Moroni, Lewis J. McGibbney

Comput. Geosci., 2020

Building an Open Resources Repository for COVID-19 Research.

Tao Hu, Weihe Wendy Guan, Xinyan Zhu, Yuanzheng Shao, Lingbo Liu, Jing Du, Hongqiang Liu, Huan Zhou, Jialei Wang, Bing She, Luyao Zhang, Zhibin Li, Peixiao Wang, Yicheng Tang, Ruizhi Hou, Yun Li, Dexuan Sha, Yifan Yang, Ben Lewis, Devika Kakkar, Shuming Bao

Data Inf. Manag., 2020

Taking the pulse of COVID-19: a spatiotemporal perspective.

Chaowei Yang, Dexuan Sha, Qian Liu, Yun Li, Hai Lan, Weihe Wendy Guan, Tao Hu, Zhenlong Li, Zhiran Zhang, John Hoot Thompson, Zifu Wang, David W. S. Wong, Shiyang Ruan, Manzhu Yu, Douglas Richardson, Luyao Zhang, Ruizhi Hou, You Zhou, Cheng Zhong, Yifei Tian, Fayez Beaini, Kyla Carte, Colin Flynn, Wei Liu, Dieter Pfoser, Shuming Bao, Mei Li, Haoyuan Zhang, Chunbo Liu, Jie Jiang, Shihong Du, Liang Zhao, Mingyue Lu, Lin Li, Huan Zhou, Andrew Ding

Int. J. Digit. Earth, 2020

A hierarchical indexing strategy for optimizing Apache Spark with HDFS to efficiently query big geospatial raster data.

Fei Hu, Chaowei Yang, Yongyao Jiang, Yun Li, Weiwei Song, Daniel Q. Duffy, John L. Schnase, Tsengdar Lee

Int. J. Digit. Earth, 2020

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

Dexuan Sha, Xin Miao, Mengchao Xu, Chaowei Yang, Hongjie Xie, Alberto M. Mestas-Nuñez, Yun Li, Qian Liu, Jingchao Yang

Data, 2020

An Environmental Data Collection for COVID-19 Pandemic Research.

Qian Liu, Wei Liu, Dexuan Sha, Shubham Kumar, Emily Chang, Vishakh Arora, Hai Lan, Yun Li, Zifu Wang, Yadong Zhang, Zhiran Zhang, Jackson T. Harris, Srikar Chinala, Chaowei Yang

Data, 2020

2019

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

Qian Liu, Yun Li, Manzhu Yu, Long Sang Chiu, Xianjun Hao, Daniel Q. Duffy, Chaowei Yang

Remote. Sens., 2019

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

Ishan Shams, Yun Li, Jingchao Yang, Manzhu Yu, Chaowei Yang, Myra Bambacus, Ruthan Lewis, Joseph A. Nuth, Luke Oman, Ronald Leung, Bernard D. Seery, Catherine Plesko, Kevin C. Greenaugh, Megan B. Syal

Data, 2019

2018

A Smart Web-Based Geospatial Data Discovery System with Oceanographic Data as an Example.

Yongyao Jiang, Yun Li, Chaowei Yang, Fei Hu, Edward M. Armstrong, Thomas S. Huang, David Moroni, Lewis J. McGibbney, Frank R. Greguska, Christopher J. Finch

ISPRS Int. J. Geo Inf., 2018

Towards intelligent geospatial data discovery: a machine learning framework for search ranking.

Yongyao Jiang, Yun Li, Chaowei Yang, Fei Hu, Edward M. Armstrong, Thomas S. Huang, David Moroni, Lewis J. McGibbney, Christopher J. Finch

Int. J. Digit. Earth, 2018

2017

Utilizing Cloud Computing to address big geospatial data challenges.

Chaowei Yang, Manzhu Yu, Fei Hu, Yongyao Jiang, Yun Li

Comput. Environ. Urban Syst., 2017

A comprehensive methodology for discovering semantic relationships among geospatial vocabularies using oceanographic data discovery as an example.

Yongyao Jiang, Yun Li, Chaowei Yang, Kai Liu, Edward M. Armstrong, Thomas S. Huang, David Moroni, Christopher J. Finch

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.

Yongyao Jiang, Yun Li, Chaowei Yang, Edward M. Armstrong, Thomas S. Huang, David Moroni

ISPRS Int. J. Geo Inf., 2016