Yun Li

36 papers A* 3A 1Journal 31Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey.
ACM Comput. Surv.
Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Dhagash Mehta, Stefano Pasquali, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Jian Pei, Carl Yang, Liang Zhao
2025 J jnl
Comparative Analysis of BERT and GPT for Classifying Crisis News with Sudan Conflict as an Example.
Algorithms
Yahya Masri, Zifu Wang, Anusha Srirenganathan Malarvizhi, Samir Ahmed, Tayven Stover, David W. S. Wong, Yongyao Jiang, Yun Li, Qian Liu, Mathieu Bere, Daniel Rothbart, Dieter Pfoser, Chaowei Yang
2025 J jnl
Harnessing the Power of Multi-Source Media Platforms for Public Perception Analysis: Insights from the Ohio Train Derailment.
Big Data Cogn. Comput.
Tao Hu, Xiao Huang, Yun Li, Xiaokang Fu
2025 J jnl
Optimizing context-based location extraction by tuning open-source LLMs with RAG.
Int. J. Digit. Earth
Zifu Wang, Yahya Masri, Anusha Srirenganathan Malarvizhi, Tayven Stover, Samir Ahmed, David W. S. Wong, Yongyao Jiang, Yun Li, Mathieu Bere, Daniel Rothbart, Dieter Pfoser, David Marshall, Chaowei Yang
2024 J jnl
FG-SMOTE: Towards Fair Node Classification with Graph Neural Network.
SIGKDD Explor.
Zichong Wang, Zhipeng Yin, Yuying Zhang, Liping Yang, Tingting Zhang, Niki Pissinou, Yu Cai, Shu Hu, Yun Li, Liang Zhao, Wenbin Zhang
2024 J jnl
GPT, large language models (LLMs) and generative artificial intelligence (GAI) models in geospatial science: a systematic review.
Int. J. Digit. Earth
Siqin Wang, Tao Hu, Xiao Huang, Yun Li, Ce Zhang, Huan Ning, Rui Zhu, Zhenlong Li, Xinyue Ye
2024 J jnl
Graph Fairness via Authentic Counterfactuals: Tackling Structural and Causal Challenges.
SIGKDD Explor.
Zichong Wang, Zhipeng Yin, Yuying Zhang, Liping Yang, Tingting Zhang, Niki Pissinou, Yu Cai, Shu Hu, Yun Li, Liang Zhao, Wenbin Zhang
2024 A* conf
PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph.
KDD
Dazhou Yu, Yuntong Hu, Yun Li, Liang Zhao
2024 J jnl
PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph.
CoRR
Dazhou Yu, Yuntong Hu, Yun Li, Liang Zhao
2024 A conf
STES: A Spatiotemporal Explanation Supervision Framework.
SDM
Dazhou Yu, Binbin Chen, Yun Li, Suman Dhakal, Yifei Zhang, Zhenke Liu, Minxing Zhang, Jie Zhang, Liang Zhao
2024 A* conf
Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction.
KDD
Dazhou Yu, Xiaoyun Gong, Yun Li, Meikang Qiu, Liang Zhao
2024 J jnl
Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction.
CoRR
Dazhou Yu, Xiaoyun Gong, Yun Li, Meikang Qiu, Liang Zhao
2023 J jnl
Adopting GPU computing to support DL-based Earth science applications.
Int. J. Digit. Earth
Zifu Wang, Yun Li, Kevin Wang, Jacob Cain, Mary Salami, Daniel Q. Duffy, Michael M. Little, Chaowei Yang
2023 J jnl
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models.
CoRR
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
2023 J jnl
Deep Spatial Prediction via Heterogeneous Multi-source Self-supervision.
ACM Trans. Spatial Algorithms Syst.
Minxing Zhang, Dazhou Yu, Yun Li, Liang Zhao
2023 J jnl
Graph Neural Network for spatiotemporal data: methods and applications.
CoRR
Yun Li, Dazhou Yu, Zhenke Liu, Minxing Zhang, Xiaoyun Gong, Liang Zhao
2022 J jnl
A high spatiotemporal resolution framework for urban temperature prediction using IoT data.
Comput. Geosci.
Jingchao Yang, Manzhu Yu, Qian Liu, Yun Li, Daniel Q. Duffy, Chaowei Yang
2022 J jnl
Challenges and opportunities of the spatiotemporal responses to the global pandemic of COVID-19.
Ann. GIS
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
2022 A* conf
Deep Spatial Domain Generalization.
ICDM
Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao
2022 J jnl
Deep Spatial Domain Generalization.
CoRR
Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao
2022 — conf
Deep geometric neural network for spatial interpolation.
SIGSPATIAL/GIS
Minxing Zhang, Dazhou Yu, Yun Li, Liang Zhao
2021 J jnl
COVID-Scraper: An Open-Source Toolset for Automatically Scraping and Processing Global Multi-Scale Spatiotemporal COVID-19 Records.
IEEE Access
Hai Lan, Dexuan Sha, Anusha Srirenganathan Malarvizhi, Yi Liu, Yun Li, Nadine Meister, Qian Liu, Zifu Wang, Jingchao Yang, Chaowei Phil Yang
2020 J jnl
A hierarchical indexing strategy for optimizing Apache Spark with HDFS to efficiently query big geospatial raster data.
Int. J. Digit. Earth
Fei Hu, Chaowei Yang, Yongyao Jiang, Yun Li, Weiwei Song, Daniel Q. Duffy, John L. Schnase, Tsengdar Lee
2020 J jnl
An Environmental Data Collection for COVID-19 Pandemic Research.
Data
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
2020 J jnl
An On-Demand Service for Managing and Analyzing Arctic Sea Ice High Spatial Resolution Imagery.
Data
Dexuan Sha, Xin Miao, Mengchao Xu, Chaowei Yang, Hongjie Xie, Alberto M. Mestas-Nuñez, Yun Li, Qian Liu, Jingchao Yang
2020 J jnl
Building an Open Resources Repository for COVID-19 Research.
Data Inf. Manag.
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
2020 J jnl
Improving search ranking of geospatial data based on deep learning using user behavior data.
Comput. Geosci.
Yun Li, Yongyao Jiang, Chaowei Yang, Manzhu Yu, Lara Kamal, Edward M. Armstrong, Thomas S. Huang, David Moroni, Lewis J. McGibbney
2020 J jnl
Spatiotemporal Patterns and Driving Factors on Crime Changing During Black Lives Matter Protests.
ISPRS Int. J. Geo Inf.
Zhiran Zhang, Dexuan Sha, Beidi Dong, Shiyang Ruan, Agen Qiu, Yun Li, Jiping Liu, Chaowei Yang
2020 J jnl
Taking the pulse of COVID-19: a spatiotemporal perspective.
Int. J. Digit. Earth
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
2019 J jnl
Daytime Rainy Cloud Detection and Convective Precipitation Delineation Based on a Deep Neural Network Method Using GOES-16 ABI Images.
Remote. Sens.
Qian Liu, Yun Li, Manzhu Yu, Long Sang Chiu, Xianjun Hao, Daniel Q. Duffy, Chaowei Yang
2019 J jnl
Planetary Defense Mitigation Gateway: A One-Stop Gateway for Pertinent PD-Related Contents.
Data
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
2018 J jnl
A Smart Web-Based Geospatial Data Discovery System with Oceanographic Data as an Example.
ISPRS Int. J. Geo Inf.
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
2018 J jnl
Towards intelligent geospatial data discovery: a machine learning framework for search ranking.
Int. J. Digit. Earth
Yongyao Jiang, Yun Li, Chaowei Yang, Fei Hu, Edward M. Armstrong, Thomas S. Huang, David Moroni, Lewis J. McGibbney, Christopher J. Finch
2017 J jnl
A comprehensive methodology for discovering semantic relationships among geospatial vocabularies using oceanographic data discovery as an example.
Int. J. Geogr. Inf. Sci.
Yongyao Jiang, Yun Li, Chaowei Yang, Kai Liu, Edward M. Armstrong, Thomas S. Huang, David Moroni, Christopher J. Finch
2017 J jnl
Utilizing Cloud Computing to address big geospatial data challenges.
Comput. Environ. Urban Syst.
Chaowei Yang, Manzhu Yu, Fei Hu, Yongyao Jiang, Yun Li
2016 J jnl
Reconstructing Sessions from Data Discovery and Access Logs to Build a Semantic Knowledge Base for Improving Data Discovery.
ISPRS Int. J. Geo Inf.
Yongyao Jiang, Yun Li, Chaowei Yang, Edward M. Armstrong, Thomas S. Huang, David Moroni