Reconstructing Sessions from Data Discovery and Access Logs to Build a Semantic Knowledge Base for Improving Data Discovery. - Yongyao Jiang; Yun Li 005; Chaowei Yang; Edward M. Armstrong; Thomas S. Huang; David Moroni (ISPRS Int. J. Geo Inf., 2016)

A comprehensive methodology for discovering semantic relationships among geospatial vocabularies using oceanographic data discovery as an example. - Yongyao Jiang; Yun Li 005; Chaowei Yang; Kai Liu 017; Edward M. Armstrong; Thomas S. Huang; David Moroni; Christopher J. Finch (Int. J. Geogr. Inf. Sci., 2017)

Utilizing Cloud Computing to address big geospatial data challenges. - Chaowei Yang; Manzhu Yu; Fei Hu 003; Yongyao Jiang; Yun Li 005 (Comput. Environ. Urban Syst., 2017)

Towards intelligent geospatial data discovery: a machine learning framework for search ranking. - Yongyao Jiang; Yun Li 005; Chaowei Yang; Fei Hu 003; Edward M. Armstrong; Thomas S. Huang; David Moroni; Lewis J. McGibbney; Christopher J. Finch (Int. J. Digit. Earth, 2018)

A Smart Web-Based Geospatial Data Discovery System with Oceanographic Data as an Example. - Yongyao Jiang; Yun Li 005; Chaowei Yang; Fei Hu 003; Edward M. Armstrong; Thomas S. Huang; David Moroni; Lewis J. McGibbney; Frank R. Greguska; Christopher J. Finch (ISPRS Int. J. Geo Inf., 2018)

Planetary Defense Mitigation Gateway: A One-Stop Gateway for Pertinent PD-Related Contents. - Ishan Shams; Yun Li 005; Jingchao Yang; Manzhu Yu; Chaowei Yang; Myra Bambacus; Ruthan Lewis; Joseph A. Nuth; Luke Oman; Ronald Leung; Bernard D. Seery; Catherine Plesko; et al. (Data, 2019)

Daytime Rainy Cloud Detection and Convective Precipitation Delineation Based on a Deep Neural Network Method Using GOES-16 ABI Images. - Qian Liu 011; Yun Li 005; Manzhu Yu; Long Sang Chiu; Xianjun Hao; Daniel Q. Duffy; Chaowei Yang (Remote. Sens., 2019)

An Environmental Data Collection for COVID-19 Pandemic Research. - Qian Liu 011; Wei Liu; Dexuan Sha; Shubham Kumar; Emily Chang; Vishakh Arora; Hai Lan 001; Yun Li 005; Zifu Wang; Yadong Zhang; Zhiran Zhang; Jackson T. Harris; et al. (Data, 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 005; Qian Liu 011; Jingchao Yang (Data, 2020)

A hierarchical indexing strategy for optimizing Apache Spark with HDFS to efficiently query big geospatial raster data. - Fei Hu 003; Chaowei Yang; Yongyao Jiang; Yun Li 005; Weiwei Song; Daniel Q. Duffy; John L. Schnase; Tsengdar Lee (Int. J. Digit. Earth, 2020)

Taking the pulse of COVID-19: a spatiotemporal perspective. - Chaowei Yang; Dexuan Sha; Qian Liu 011; Yun Li 005; Hai Lan 001; Weihe Wendy Guan; Tao Hu 004; Zhenlong Li; Zhiran Zhang; John Hoot Thompson; Zifu Wang; David W. S. Wong; et al. (Int. J. Digit. Earth, 2020)

Building an Open Resources Repository for COVID-19 Research. - Tao Hu 004; Weihe Wendy Guan; Xinyan Zhu; Yuanzheng Shao; Lingbo Liu; Jing Du; Hongqiang Liu; Huan Zhou 007; Jialei Wang; Bing She; Luyao Zhang 001; Zhibin Li; et al. (Data Inf. Manag., 2020)

Improving search ranking of geospatial data based on deep learning using user behavior data. - Yun Li 005; Yongyao Jiang; Chaowei Yang; Manzhu Yu; Lara Kamal; Edward M. Armstrong; Thomas S. Huang; David Moroni; Lewis J. McGibbney (Comput. Geosci., 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 005; Jiping Liu; Chaowei Yang (ISPRS Int. J. Geo Inf., 2020)

COVID-Scraper: An Open-Source Toolset for Automatically Scraping and Processing Global Multi-Scale Spatiotemporal COVID-19 Records. - Hai Lan 001; Dexuan Sha; Anusha Srirenganathan Malarvizhi; Yi Liu 094; Yun Li 005; Nadine Meister; Qian Liu 011; Zifu Wang; Jingchao Yang; Chaowei Phil Yang (IEEE Access, 2021)

Deep geometric neural network for spatial interpolation. - Minxing Zhang; Dazhou Yu; Yun Li 005; Liang Zhao 002 (SIGSPATIAL/GIS, 2022)

Deep Spatial Domain Generalization. - Dazhou Yu; Guangji Bai; Yun Li 005; Liang Zhao 002 (ICDM, 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 004; Hai Lan 001; Yun Li 005; Qian Liu 011; Jennifer Smith; Anusha Srirenganathan Malarvizhi; Theo Trefonides; Kevin Wang; et al. (Ann. GIS, 2022)

A high spatiotemporal resolution framework for urban temperature prediction using IoT data. - Jingchao Yang; Manzhu Yu; Qian Liu 011; Yun Li 005; Daniel Q. Duffy; Chaowei Yang (Comput. Geosci., 2022)

Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models. - Chen Ling 003; Xujiang Zhao; Jiaying Lu 001; Chengyuan Deng; Can Zheng; Junxiang Wang; Tanmoy Chowdhury; Yun Li 005; Hejie Cui; Xuchao Zhang; Tianjiao Zhao; Amit Panalkar; et al. (CoRR, 2023)

Graph Neural Network for spatiotemporal data: methods and applications. - Yun Li 005; Dazhou Yu; Zhenke Liu; Minxing Zhang; Xiaoyun Gong; Liang Zhao 002 (CoRR, 2023)

Deep Spatial Prediction via Heterogeneous Multi-source Self-supervision. - Minxing Zhang; Dazhou Yu; Yun Li 005; Liang Zhao 002 (ACM Trans. Spatial Algorithms Syst., 2023)

Adopting GPU computing to support DL-based Earth science applications. - Zifu Wang; Yun Li 005; Kevin Wang; Jacob Cain; Mary Salami; Daniel Q. Duffy; Michael M. Little; Chaowei Yang (Int. J. Digit. Earth, 2023)

Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction. - Dazhou Yu; Xiaoyun Gong; Yun Li 005; Meikang Qiu; Liang Zhao 002 (KDD, 2024)

PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph. - Dazhou Yu; Yuntong Hu; Yun Li 005; Liang Zhao 002 (KDD, 2024)

STES: A Spatiotemporal Explanation Supervision Framework. - Dazhou Yu; Binbin Chen; Yun Li 005; Suman Dhakal; Yifei Zhang 006; Zhenke Liu; Minxing Zhang; Jie Zhang; Liang Zhao 002 (SDM, 2024)

GPT, large language models (LLMs) and generative artificial intelligence (GAI) models in geospatial science: a systematic review. - Siqin Wang; Tao Hu 004; Xiao Huang 003; Yun Li 005; Ce Zhang 005; Huan Ning; Rui Zhu 008; Zhenlong Li; Xinyue Ye (Int. J. Digit. Earth, 2024)

Graph Fairness via Authentic Counterfactuals: Tackling Structural and Causal Challenges. - Zichong Wang; Zhipeng Yin; Yuying Zhang; Liping Yang 002; Tingting Zhang; Niki Pissinou; Yu Cai 002; Shu Hu 001; Yun Li 005; Liang Zhao 002; Wenbin Zhang 002 (SIGKDD Explor., 2024)

FG-SMOTE: Towards Fair Node Classification with Graph Neural Network. - Zichong Wang; Zhipeng Yin; Yuying Zhang; Liping Yang 002; Tingting Zhang; Niki Pissinou; Yu Cai 002; Shu Hu 001; Yun Li 005; Liang Zhao 002; Wenbin Zhang 002 (SIGKDD Explor., 2024)