Quantifying determinants of cash crop expansion and their relative effects using logistic regression modeling and variance partitioning. - Rui Xiao; Shiliang Su; Gengchen Mai; Zhonghao Zhang; Chenxue Yang (Int. J. Appl. Earth Obs. Geoinformation, 2015)

ADCN: an anisotropic density-based clustering algorithm. - Gengchen Mai; Krzysztof Janowicz; Yingjie Hu; Song Gao 001 (SIGSPATIAL/GIS, 2016)

Moon Landing or Safari? A Study of Systematic Errors and Their Causes in Geographic Linked Data. - Krzysztof Janowicz; Yingjie Hu; Grant McKenzie; Song Gao 001; Blake Regalia; Gengchen Mai; Rui Zhu 008; Benjamin Adams; Kerry L. Taylor (GIScience, 2016)

A Linked Data Driven Visual Interface for the Multi-perspective Exploration of Data Across Repositories. - Gengchen Mai; Krzysztof Janowicz; Yingjie Hu; Grant McKenzie (VOILA@ISWC, 2016)

From ITDL to Place2Vec: Reasoning About Place Type Similarity and Relatedness by Learning Embeddings From Augmented Spatial Contexts. - Bo Yan 003; Krzysztof Janowicz; Gengchen Mai; Song Gao 001 (SIGSPATIAL/GIS, 2017)

Phuzzy.link: A SPARQL-powered Client-Sided Extensible Semantic Web Browser. - Blake Regalia; Krzysztof Janowicz; Gengchen Mai (VOILA@ISWC, 2017)

ADCN: An Anisotropic Density-Based Clustering Algorithm for Discovering Spatial Point Patterns with Noise. - Gengchen Mai (2017)

Support and Centrality: Learning Weights for Knowledge Graph Embedding Models. - Gengchen Mai; Krzysztof Janowicz; Bo Yan 003 (EKAW, 2018)

GNIS-LD: Serving and Visualizing the Geographic Names Information System Gazetteer as Linked Data. - Blake Regalia; Krzysztof Janowicz; Gengchen Mai; Dalia Varanka; E. Lynn Usery (ESWC, 2018)

POIReviewQA: A Semantically Enriched POI Retrieval and Question Answering Dataset. - Gengchen Mai; Krzysztof Janowicz; Cheng He; Sumang Liu; Ni Lao (GIR@SIGSPATIAL, 2018)

xNet+SC: Classifying Places Based on Images by Incorporating Spatial Contexts. - Bo Yan 003; Krzysztof Janowicz; Gengchen Mai; Rui Zhu 008 (GIScience, 2018)

Debiasing Knowledge Graphs: Why Female Presidents are not like Female Popes. - Krzysztof Janowicz; Bo Yan 003; Blake Regalia; Rui Zhu 008; Gengchen Mai (ISWC (P&D/Industry/BlueSky), 2018)

Combining Text Embedding and Knowledge Graph Embedding Techniques for Academic Search Engines. - Gengchen Mai; Krzysztof Janowicz; Bo Yan 003 (Semdeep/NLIWoD@ISWC, 2018)

On the prospects of blockchain and distributed ledger technologies for open science and academic publishing. - Krzysztof Janowicz; Blake Regalia; Pascal Hitzler; Gengchen Mai; Stephanie Delbecque; Maarten Fröhlich; Patrick Martinent; Trevor Lazarus (Semantic Web, 2018)

ADCN: An anisotropic density-based clustering algorithm for discovering spatial point patterns with noise. - Gengchen Mai; Krzysztof Janowicz; Yingjie Hu; Song Gao 001 (Trans. GIS, 2018)

Relaxing Unanswerable Geographic Questions Using A Spatially Explicit Knowledge Graph Embedding Model. - Gengchen Mai; Bo Yan 003; Krzysztof Janowicz; Rui Zhu 008 (AGILE Conference, 2019)

TransGCN: Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction. - Ling Cai; Bo Yan 003; Gengchen Mai; Krzysztof Janowicz; Rui Zhu 008 (K-CAP, 2019)

Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs. - Gengchen Mai; Krzysztof Janowicz; Bo Yan 003; Rui Zhu 008; Ling Cai; Ni Lao (K-CAP, 2019)

Deeply integrating Linked Data with Geographic Information Systems. - Gengchen Mai; Krzysztof Janowicz; Bo Yan 003; Simon Scheider (Trans. GIS, 2019)

A spatially explicit reinforcement learning model for geographic knowledge graph summarization. - Bo Yan 003; Krzysztof Janowicz; Gengchen Mai; Rui Zhu 008 (Trans. GIS, 2019)

Making direction a first-class citizen of Tobler's first law of geography. - Rui Zhu 008; Krzysztof Janowicz; Gengchen Mai (Trans. GIS, 2019)

Semantically-Enriched Search Engine for Geoportals: A Case Study with ArcGIS Online. - Gengchen Mai; Krzysztof Janowicz; Sathya Prasad; Meilin Shi; Ling Cai; Rui Zhu 008; Blake Regalia; Ni Lao (AGILE Conf., 2020)

Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells. - Gengchen Mai; Krzysztof Janowicz; Bo Yan 003; Rui Zhu 008; Ling Cai; Ni Lao (ICLR, 2020)

Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting. - Ling Cai; Krzysztof Janowicz; Gengchen Mai; Bo Yan 003; Rui Zhu 008 (Trans. GIS, 2020)

SE-KGE : A location-aware Knowledge Graph Embedding model for Geographic Question Answering and Spatial Semantic Lifting. - Gengchen Mai; Krzysztof Janowicz; Ling Cai; Rui Zhu 008; Blake Regalia; Bo Yan 003; Meilin Shi; Ni Lao (Trans. GIS, 2020)

Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions. - Gengchen Mai; Krzysztof Janowicz; Rui Zhu 008; Ling Cai; Ni Lao (AGILE Conf., 2021)

A Socially Aware Huff Model for Destination Choice in Nature-based Tourism. - Meilin Shi; Krzysztof Janowicz; Ling Cai; Gengchen Mai; Rui Zhu 008 (AGILE Conf., 2021)

Environmental Observations in Knowledge Graphs. - Rui Zhu 008; Shirly Stephen; Lu Zhou 005; Cogan Shimizu; Ling Cai; Gengchen Mai; Krzysztof Janowicz; Pascal Hitzler; Mark Schildhauer (DaMaLOS, 2021)

SOSA-SHACL: Shapes Constraint for the Sensor, Observation, Sample, and Actuator Ontology. - Rui Zhu 008; Cogan Shimizu; Shirly Stephen; Lu Zhou 005; Ling Cai; Gengchen Mai; Krzysztof Janowicz; Mark Schildhauer; Pascal Hitzler (IJCKG, 2021)

A Pattern for Features on a Hierarchical Spatial Grid. - Cogan Shimizu; Rui Zhu 008; Gengchen Mai; Colby K. Fisher; Ling Cai; Mark Schildhauer; Krzysztof Janowicz; Pascal Hitzler; Lu Zhou 005; Shirly Stephen (IJCKG, 2021)

Providing Humanitarian Relief Support through Knowledge Graphs. - Rui Zhu 008; Ling Cai; Gengchen Mai; Cogan Shimizu; Colby K. Fisher; Krzysztof Janowicz; Anna Lopez-Carr; Andrew Schroeder; Mark Schildhauer; Yuanyuan Tian 002; Shirly Stephen; Zilong Liu (K-CAP, 2021)

Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes. - Ling Cai; Krzysztof Janowicz; Bo Yan 003; Rui Zhu 008; Gengchen Mai (K-CAP, 2021)

Narrative Cartography with Knowledge Graphs. - Gengchen Mai; Weiming Huang 001; Ling Cai; Rui Zhu 008; Ni Lao (CoRR, 2021)

COVID-Forecast-Graph: An Open Knowledge Graph for Consolidating COVID-19 Forecasts and Economic Indicators via Place and Time. - Rui Zhu 008; Krzysztof Janowicz; Gengchen Mai; Ling Cai; Meilin Shi (AGILE Conf., 2022)

Geoparsing: Solved or Biased? An Evaluation of Geographic Biases in Geoparsing. - Zilong Liu; Krzysztof Janowicz; Ling Cai; Rui Zhu 008; Gengchen Mai; Meilin Shi (AGILE Conf., 2022)

LD Connect: A Linked Data Portal for IOS Press Scientometrics. - Zilong Liu; Meilin Shi; Krzysztof Janowicz; Blake Regalia; Stephanie Delbecque; Gengchen Mai; Rui Zhu 008; Pascal Hitzler (ESWC, 2022)

Understanding economic development in rural Africa using satellite imagery, building footprints and deep models. - Amna Elmustafa; Erik Rozi; Yutong He; Gengchen Mai; Stefano Ermon; Marshall Burke; David B. Lobell (SIGSPATIAL/GIS, 2022)

Towards a foundation model for geospatial artificial intelligence (vision paper). - Gengchen Mai; Chris Cundy; Kristy Choi; Yingjie Hu; Ni Lao; Stefano Ermon (SIGSPATIAL/GIS, 2022)

Know, Know Where, Knowwheregraph: A Densely Connected, Cross-Domain Knowledge Graph and Geo-Enrichment Service Stack for Applications in Environmental Intelligence. - Krzysztof Janowicz; Pascal Hitzler; Wenwen Li 002; Dean Rehberger; Mark Schildhauer; Rui Zhu 008; Cogan Shimizu; Colby K. Fisher; Ling Cai; Gengchen Mai; Joseph Zalewski; Lu Zhou 005; et al. (AI Mag., 2022)

Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions. - Gengchen Mai; Yao Xuan; Wenyun Zuo; Krzysztof Janowicz; Ni Lao (CoRR, 2022)

A review of location encoding for GeoAI: methods and applications. - Gengchen Mai; Krzysztof Janowicz; Yingjie Hu; Song Gao 001; Bo Yan 003; Rui Zhu 008; Ling Cai; Ni Lao (Int. J. Geogr. Inf. Sci., 2022)

Reasoning over higher-order qualitative spatial relations via spatially explicit neural networks. - Rui Zhu 008; Krzysztof Janowicz; Ling Cai; Gengchen Mai (Int. J. Geogr. Inf. Sci., 2022)

Diverse data! Diverse schemata? - Krzysztof Janowicz; Cogan Shimizu; Pascal Hitzler; Gengchen Mai; Shirly Stephen; Rui Zhu 008; Ling Cai; Lu Zhou 005; Mark Schildhauer; Zilong Liu; Zhangyu Wang; Meilin Shi (Semantic Web, 2022)

Symbolic and subsymbolic GeoAI: Geospatial knowledge graphs and spatially explicit machine learning. - Gengchen Mai; Yingjie Hu; Song Gao 001; Ling Cai; Bruno Martins 001; Johannes Scholz; Jing Gao; Krzysztof Janowicz (Trans. GIS, 2022)

Report of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2022). - Bruno Martins 001; Dalton D. Lunga; Song Gao 001; Shawn D. Newsam; Lexie Yang; Xueqing Deng; Gengchen Mai (ACM SIGSPATIAL Special, 2022)

GeoKG'2022 Workshop Report: The 1st ACM SIGSPATIAL International Workshop on Geospatial Knowledge Graphs. - Rui Zhu 008; Krzysztof Janowicz; Gautam S. Thakur; Xiaogang Ma 001; Ellie Young; Gengchen Mai (ACM SIGSPATIAL Special, 2022)

Thinking Geographically about AI Sustainability. - Meilin Shi; Kitty Currier; Zilong Liu; Krzysztof Janowicz; Nina Wiedemann; Judith Verstegen; Grant McKenzie; Anita Graser; Rui Zhu 008; Gengchen Mai (AGILE Conf., 2023)

Rethink Geographical Generalizability with Unsupervised Self-Attention Model Ensemble: A Case Study of OpenStreetMap Missing Building Detection in Africa. - Hao Li 019; Jiapan Wang; Johann Maximilian Zollner; Gengchen Mai; Ni Lao; Martin Werner 001 (SIGSPATIAL/GIS, 2023)

Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models (Vision Paper). - Jinmeng Rao; Song Gao 001; Gengchen Mai; Krzysztof Janowicz (SIGSPATIAL/GIS, 2023)

Geo-Foundation Models: Reality, Gaps and Opportunities. - Yiqun Xie; Zhaonan Wang 001; Gengchen Mai; Yanhua Li; Xiaowei Jia; Song Gao 001; Shaowen Wang 001 (SIGSPATIAL/GIS, 2023)

ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. - Yucheng Shi; Hehuan Ma; Wenliang Zhong; Qiaoyu Tan; Gengchen Mai; Xiang Li 001; Tianming Liu 001; Junzhou Huang (ICDM (Workshops), 2023)

CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations. - Gengchen Mai; Ni Lao; Yutong He; Jiaming Song; Stefano Ermon (ICML, 2023)

The KnowWhereGraph Ontology: A Showcase. - Cogan Shimizu; Shirly Stephen; Rui Zhu 008; Kitty Currier; Mark Schildhauer; Dean Rehberger; Pascal Hitzler; Krzysztof Janowicz; Colby K. Fisher; Mohammad Saeid Mahdavinejad; Antrea Christou; Adrita Barua; et al. (JOWO, 2023)

The Expertise Ontology: Modeling Expertise in the Context of Emergency Management. - Shirly Stephen; Mark Schildhauer; Ling Cai; Yuanyuan Tian 002; Kitty Currier; Cogan Shimizu; Krzysztof Janowicz; Pascal Hitzler; Anna Lopez-Carr; Andrew Schroeder; Zilong Liu; Rui Zhu 008; et al. (JOWO, 2023)

AGI for Agriculture. - Guoyu Lu; Sheng Li 001; Gengchen Mai; Jin Sun 011; Dajiang Zhu; Lilong Chai; Haijian Sun; Xianqiao Wang; Haixing Dai; Ninghao Liu; Rui Xu 018; Daniel Petti; et al. (CoRR, 2023)

On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence. - Gengchen Mai; Weiming Huang 001; Jin Sun 011; Suhang Song; Deepak Mishra 005; Ninghao Liu; Song Gao 001; Tianming Liu 001; Gao Cong; Yingjie Hu; Chris Cundy; Ziyuan Li; et al. (CoRR, 2023)

Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models. - Jielu Zhang; Zhongliang Zhou; Gengchen Mai; Lan Mu; Mengxuan Hu; Sheng Li 001 (CoRR, 2023)

Artificial General Intelligence (AGI) for Education. - Ehsan Latif; Gengchen Mai; Matthew Nyaaba; Xuansheng Wu; Ninghao Liu; Guoyu Lu; Sheng Li 001; Tianming Liu 001; Xiaoming Zhai (CoRR, 2023)

ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. - Yucheng Shi; Hehuan Ma; Wenliang Zhong; Gengchen Mai; Xiang Li 001; Tianming Liu 001; Junzhou Huang (CoRR, 2023)

AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology. - Haixing Dai; Yiwei Li 002; Zhengliang Liu; Lin Zhao 004; Zihao Wu 001; Suhang Song; Ye Shen; Dajiang Zhu; Xiang Li 001; Sheng Li 001; Xiaobai Angela Yao; Lu Shi; et al. (CoRR, 2023)

Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions. - Gengchen Mai; Yao Xuan; Wenyun Zuo; Yutong He; Jiaming Song; Stefano Ermon; Krzysztof Janowicz; Ni Lao (CoRR, 2023)

Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges. - Fei Dou; Jin Ye 001; Geng Yuan; Qin Lu 002; Wei Niu 002; Haijian Sun; Le Guan; Guoyu Lu; Gengchen Mai; Ninghao Liu; Jin Lu 001; Zhengliang Liu; et al. (CoRR, 2023)

Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models. - Jinmeng Rao; Song Gao 001; Gengchen Mai; Krzysztof Janowicz (CoRR, 2023)

SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution. - Gengchen Mai; Ni Lao; Weiwei Sun; Yuchi Ma; Jiaming Song; Chenlin Meng; Hongxu Ma; Jinmeng Rao; Ziyuan Li; Stefano Ermon (CoRR, 2023)

Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities. - Zhengliang Liu; Yiwei Li 002; Qian Cao; Junwen Chen; Tianze Yang; Zihao Wu 001; John Hale; John Gibbs; Khaled Rasheed; Ninghao Liu; Gengchen Mai; Tianming Liu 001 (CoRR, 2023)

Multimodality of AI for Education: Towards Artificial General Intelligence. - Gyeong-Geon Lee; Lehong Shi; Ehsan Latif; Yizhu Gao; Arne Bewersdorff; Matthew Nyaaba; Shuchen Guo; Zihao Wu 001; Zhengliang Liu; Hui Wang 054; Gengchen Mai; Tiaming Liu; et al. (CoRR, 2023)

On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications. - Chenjiao Tan; Qian Cao; Yiwei Li 002; Jielu Zhang; Xiao Yang; Huaqin Zhao; Zihao Wu 001; Zhengliang Liu; Hao Yang 018; Nemin Wu; Tao Tang; Xinyue Ye; et al. (CoRR, 2023)

HyperQuaternionE: A hyperbolic embedding model for qualitative spatial and temporal reasoning. - Ling Cai; Krzysztof Janowicz; Rui Zhu 008; Gengchen Mai; Bo Yan 003; Zhangyu Wang (GeoInformatica, 2023)

Towards general-purpose representation learning of polygonal geometries. - Gengchen Mai; Chiyu Jiang 001; Weiwei Sun; Rui Zhu 008; Yao Xuan; Ling Cai; Krzysztof Janowicz; Stefano Ermon; Ni Lao (GeoInformatica, 2023)

EVKG: An interlinked and interoperable electric vehicle knowledge graph for smart transportation system. - Yanlin Qi; Gengchen Mai; Rui Zhu 008; Michael Zhang (Trans. GIS, 2023)

Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages. - Yingjie Hu; Gengchen Mai; Chris Cundy; Kristy Choi; Ni Lao; Wei Liu; Gaurish Lakhanpal; Ryan Zhenqi Zhou; Kenneth Joseph (Int. J. Geogr. Inf. Sci., 2023)

Probing the Information Theoretical Roots of Spatial Dependence Measures. - Zhangyu Wang; Krzysztof Janowicz; Gengchen Mai; Ivan Majic (COSIT, 2024)

Text2Seg: Zero-shot Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models. - Jielu Zhang; Zhongliang Zhou; Gengchen Mai; Mengxuan Hu; Zihan Guan 001; Sheng Li 001; Lan Mu (GeoAI@SIGSPATIAL, 2024)

TorchSpatial: A Python Package for Spatial Representation Learning and Geo-Aware Model Development. - Qian Cao; Nemin Wu; Zhangyu Wang; Zeping Liu; Yanlin Qi; Jielu Zhang; Joshua Ni; Xiaobai Angela Yao; Hongxu Ma; Lan Mu; Stefano Ermon; Tanuja Ganu; et al. (GeoIndstry@SIGSPATIAL, 2024)

SRL: Towards a General-Purpose Framework for Spatial Representation Learning. - Gengchen Mai; Xiaobai Angela Yao; Yiqun Xie; Jinmeng Rao; Hao Li 019; Qing Zhu; Ziyuan Li; Ni Lao (SIGSPATIAL/GIS, 2024)

GeoLLM: Extracting Geospatial Knowledge from Large Language Models. - Rohin Manvi; Samar Khanna; Gengchen Mai; Marshall Burke; David B. Lobell; Stefano Ermon (ICLR, 2024)

MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations. - Zhangyu Wang; Gengchen Mai; Krzysztof Janowicz; Ni Lao (ICML, 2024)

TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning. - Nemin Wu; Qian Cao; Zhangyu Wang; Zeping Liu; Yanlin Qi; Jielu Zhang; Joshua Ni; Xiaobai Angela Yao; Hongxu Ma; Lan Mu; Stefano Ermon; Tanuja Ganu; et al. (NeurIPS, 2024)

Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation. - Zhongliang Zhou; Jielu Zhang; Zihan Guan 001; Mengxuan Hu; Ni Lao; Lan Mu; Sheng Li 001; Gengchen Mai (SIGIR, 2024)

SpatialScene2Vec: A self-supervised contrastive representation learning method for spatial scene similarity evaluation. - Danhuai Guo; Yingxue Yu; Shiyin Ge; Song Gao 001; Gengchen Mai; Huixuan Chen (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Revolutionizing Finance with LLMs: An Overview of Applications and Insights. - Huaqin Zhao; Zhengliang Liu; Zihao Wu 001; Yiwei Li 002; Tianze Yang; Peng Shu; Shaochen Xu; Haixing Dai; Lin Zhao 004; Gengchen Mai; Ninghao Liu; Tianming Liu 001 (CoRR, 2024)

TransFlower: An Explainable Transformer-Based Model with Flow-to-Flow Attention for Commuting Flow Prediction. - Yan Luo; Zhuoyue Wan; Yuzhong Chen; Gengchen Mai; Fu-Lai Chung; Kent Larson (CoRR, 2024)

Cross-View Geolocalization and Disaster Mapping with Street-View and VHR Satellite Imagery: A Case Study of Hurricane IAN. - Hao Li 019; Fabian Deuser; Wenping Yin; Xuanshu Luo; Paul M. Walther; Gengchen Mai; Wei Huang 014; Martin Werner 001 (CoRR, 2024)

Examining the Commitments and Difficulties Inherent in Multimodal Foundation Models for Street View Imagery. - Zhenyuan Yang; Xuhui Lin; Qinyi He; Ziye Huang; Zhengliang Liu; Hanqi Jiang; Peng Shu; Zihao Wu 001; Yiwei Li 002; Stephen Law; Gengchen Mai; Tianming Liu 001; et al. (CoRR, 2024)

BB-GeoGPT: A framework for learning a large language model for geographic information science. - Yifan Zhang 009; Zhiyun Wang; Zhengting He; Jingxuan Li; Gengchen Mai; Jianfeng Lin; Cheng Wei; Wenhao Yu 001 (Inf. Process. Manag., 2024)

Report of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2024). - Song Gao 001; Gengchen Mai; Shawn D. Newsam; Lexie Yang; Dalton D. Lunga; Di Zhu 004; Bruno Martins 001; Samantha T. Arundel (ACM SIGSPATIAL Special, 2024)

On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper). - Gengchen Mai; Weiming Huang 001; Jin Sun 011; Suhang Song; Deepak Mishra 005; Ninghao Liu; Song Gao 001; Tianming Liu 001; Gao Cong; Yingjie Hu; Chris Cundy; Ziyuan Li; et al. (ACM Trans. Spatial Algorithms Syst., 2024)

BERT4Traj: Transformer-Based Trajectory Reconstruction for Sparse Mobility Data. - Hao Yang 018; Xiaobai Angela Yao; Christopher C. Whalen; Gengchen Mai (GIScience, 2025)

Towards the next generation of Geospatial Artificial Intelligence. - Gengchen Mai; Yiqun Xie; Xiaowei Jia; Ni Lao; Jinmeng Rao; Qing Zhu; Zeping Liu; Yao-Yi Chiang; Junfeng Jiao (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Operationalizing Geographic Diversity for the Evaluation of AI-Generated Content. - Zilong Liu; Krzysztof Janowicz; Ivan Majic; Meilin Shi; Alexandra Fortacz; Mina Karimi; Gengchen Mai; Kitty Currier (Trans. GIS, 2025)

Multimodality of AI for Education: Toward Artificial General Intelligence. - Gyeong-Geon Lee; Lehong Shi; Ehsan Latif; Yizhu Gao; Arne Bewersdorff; Matthew Nyaaba; Shuchen Guo; Zhengliang Liu; Gengchen Mai; Tianming Liu 001; Xiaoming Zhai (IEEE Trans. Learn. Technol., 2025)

From theory to deep learning: Understanding the impact of geographic context factors on traffic violations. - Hao Yang 018; Xiaobai Angela Yao; Farnoosh Roozkhosh; Ruowei Liu; Gengchen Mai (Comput. Environ. Urban Syst., 2025)

The KnowWhereGraph ontology. - Cogan Shimizu; Shirly Stephen; Adrita Barua; Ling Cai; Antrea Christou; Kitty Currier; Abhilekha Dalal; Colby K. Fisher; Pascal Hitzler; Krzysztof Janowicz; Wenwen Li 002; Zilong Liu; et al. (J. Web Semant., 2025)

Learning Street View Representations with Spatiotemporal Contrast. - Yong Li; Yingjing Huang; Gengchen Mai; Fan Zhang (CoRR, 2025)

The KnowWhereGraph: A Large-Scale Geo-Knowledge Graph for Interdisciplinary Knowledge Discovery and Geo-Enrichment. - Rui Zhu 008; Cogan Shimizu; Shirly Stephen; Colby K. Fisher; Thomas Thelen; Kitty Currier; Krzysztof Janowicz; Pascal Hitzler; Mark Schildhauer; Wenwen Li 002; Dean Rehberger; Adrita Barua; et al. (CoRR, 2025)

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Spatial Reasoning Questions. - Dazhou Yu; Riyang Bao; Gengchen Mai; Liang Zhao 002 (CoRR, 2025)

GAIR: Improving Multimodal Geo-Foundation Model with Geo-Aligned Implicit Representations. - Zeping Liu; Fan Zhang; Junfeng Jiao; Ni Lao; Gengchen Mai (CoRR, 2025)

LocDiffusion: Identifying Locations on Earth by Diffusing in the Hilbert Space. - Zhangyu Wang; Jielu Zhang; Zhongliang Zhou; Qian Cao; Nemin Wu; Zeping Liu; Lan Mu; Yang Song; Yiqun Xie; Ni Lao; Gengchen Mai (CoRR, 2025)

Feature-Augmented Deep Networks for Multiscale Building Segmentation in High-Resolution UAV and Satellite Imagery. - Chintan B. Maniyar; Minakshi Kumar; Gengchen Mai (CoRR, 2025)

ZooplanktonBench: A Geo-Aware Zooplankton Recognition and Classification Dataset from Marine Observations. - Fukun Liu; Adam T. Greer; Gengchen Mai; Jin Sun 011 (CoRR, 2025)

Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications. - Saed Rezayi; Zhengliang Liu; Zihao Wu 001; Chandra Dhakal; Bao Ge; Haixing Dai; Gengchen Mai; Ninghao Liu; Chen Zhen; Tianming Liu 001; Sheng Li 001 (IEEE Trans. Big Data, 2025)

BERT4Traj: Transformer Based Trajectory Reconstruction for Sparse Mobility Data. - Hao (Frank) Yang; Angela Yao; Christopher C. Whalen; Gengchen Mai (CoRR, 2025)

4KAgent: Agentic Any Image to 4K Super-Resolution. - Yushen Zuo; Qi Zheng 004; Mingyang Wu; Xinrui Jiang; Renjie Li 003; Jian Wang; Yide Zhang; Gengchen Mai; Lihong V. Wang; James Zou; Xiaoyu Wang; Ming-Hsuan Yang 001; et al. (CoRR, 2025)

Whose Truth? Pluralistic Geo-Alignment for (Agentic) AI. - Krzysztof Janowicz; Zilong Liu; Gengchen Mai; Zhangyu Wang; Ivan Majic; Alexandra Fortacz; Grant McKenzie; Song Gao 001 (CoRR, 2025)

GeoFM: how will geo-foundation models reshape spatial data science and GeoAI? - Krzysztof Janowicz; Gengchen Mai; Weiming Huang 001; Rui Zhu 008; Ni Lao; Ling Cai (Int. J. Geogr. Inf. Sci., 2025)