A design of RESTful style digital gazetteer service in cloud computing environment. - Song Gao 001; Hao Yu; Yong Gao 003; Yinle Sun (Geoinformatics, 2010)

Analyzing and geo-visualizing individual human mobility patterns using mobile call records. - Chaogui Kang; Song Gao 001; Xing Lin; Yu Xiao; Yihong Yuan; Yu Liu 003; Xiujun Ma (Geoinformatics, 2010)

Understanding intra-urban trip patterns from taxi trajectory data. - Yu Liu 003; Chaogui Kang; Song Gao 001; Yu Xiao; Yuan Tian 006 (J. Geogr. Syst., 2012)

Asking Spatial Questions to Identify GIS Functionality. - Song Gao 001; Michael F. Goodchild (COM.Geo, 2013)

A spatiotemporal scientometrics framework for exploring the citation impact of publications and scientists. - Song Gao 001; Yingjie Hu; Krzysztof Janowicz; Grant McKenzie (SIGSPATIAL/GIS, 2013)

Towards Platial Joins and Buffers in Place-Based GIS. - Song Gao 001; Krzysztof Janowicz; Grant McKenzie; Linna Li (COMP@SIGSPATIAL, 2013)

Constructing Gazetteers from Volunteered Geographic Information Based on Hadoop. - Song Gao 001; Linna Li; Wenwen Li 002; Krzysztof Janowicz; Yue Zhang (CoRR, 2013)

A Linked-Data-Driven Web Portal for Learning Analytics: Data Enrichment, Interactive Visualization, and Knowledge Discovery. - Yingjie Hu; Grant McKenzie; Jiue-An Yang; Song Gao 001; Amin Abdalla; Krzysztof Janowicz (LAK Workshops, 2014)

Enabling Semantic Search and Knowledge Discovery for ArcGIS Online: A Linked-Data-Driven Approach. - Yingjie Hu; Krzysztof Janowicz; Sathya Prasad; Song Gao 001 (AGILE Conf., 2015)

POI Pulse: A Multi-granular, Semantic Signature-Based Information Observatory for the Interactive Visualization of Big Geosocial Data. - Grant McKenzie; Krzysztof Janowicz; Song Gao 001; Jiue-An Yang; Yingjie Hu (Cartogr. Int. J. Geogr. Inf. Geovisualization, 2015)

Spatio-Temporal Analytics for Exploring Human Mobility Patterns and Urban Dynamics in the Mobile Age. - Song Gao 001 (Spatial Cogn. Comput., 2015)

Metadata Topic Harmonization and Semantic Search for Linked-Data-Driven Geoportals: A Case Study Using ArcGIS Online. - Yingjie Hu; Krzysztof Janowicz; Sathya Prasad; Song Gao 001 (Trans. GIS, 2015)

Extracting and understanding urban areas of interest using geotagged photos. - Yingjie Hu; Song Gao 001; Krzysztof Janowicz; Bailang Yu; Wenwen Li 002; Sathya Prasad (Comput. Environ. Urban Syst., 2015)

Performance improvement techniques for geospatial web services in a cyberinfrastructure environment - A case study with a disaster management portal. - Wenwen Li 002; Miaomiao Song; Bin Zhou; Kai Cao 005; Song Gao 001 (Comput. Environ. Urban Syst., 2015)

How where is when? On the regional variability and resolution of geosocial temporal signatures for points of interest. - Grant McKenzie; Krzysztof Janowicz; Song Gao 001; Li Gong (Comput. Environ. Urban Syst., 2015)

VOLT: A Provenance-Producing, Transparent SPARQL Proxy for the On-Demand Computation of Linked Data and its Application to Spatiotemporally Dependent Data. - Blake Regalia; Krzysztof Janowicz; Song Gao 001 (ESWC, 2016)

Employing spatial analysis in indoor positioning and tracking using wi-fi access points. - Song Gao 001; Sathya Prasad (ISA@SIGSPATIAL, 2016)

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)

Designing a Map Legend Ontology For Searching Map Content. - Song Gao 001; Krzysztof Janowicz; Dingwen Zhang (WOP@ISWC, 2016)

Crowdsensing smart ambient environments and services. - Blake Regalia; Grant McKenzie; Song Gao 001; Krzysztof Janowicz (Trans. GIS, 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)

A data-synthesis-driven method for detecting and extracting vague cognitive regions. - Song Gao 001; Krzysztof Janowicz; Daniel R. Montello; Yingjie Hu; Jiue-An Yang; Grant McKenzie; Yiting Ju; Li Gong; Benjamin Adams; Bo Yan 003 (Int. J. Geogr. Inf. Sci., 2017)

Road2Vec: Measuring Traffic Interactions in Urban Road System from Massive Travel Routes. - Kang Liu 010; Song Gao 001; Peiyuan Qiu; Xiliang Liu; Bo Yan 003; Feng Lu 004 (ISPRS Int. J. Geo Inf., 2017)

GeoAI 2017 workshop report: the 1st ACM SIGSPATIAL International Workshop on GeoAI: @AI and Deep Learning for Geographic Knowledge Discovery: Redondo Beach, CA, USA - November 7, 2016. - Huina Mao; Yingjie Hu; Bandana Kar; Song Gao 001; Grant McKenzie (ACM SIGSPATIAL Special, 2017)

Extracting urban functional regions from points of interest and human activities on location-based social networks. - Song Gao 001; Krzysztof Janowicz; Helen Couclelis (Trans. GIS, 2017)

Constructing gazetteers from volunteered Big Geo-Data based on Hadoop. - Song Gao 001; Linna Li; Wenwen Li 002; Krzysztof Janowicz; Yue Zhang (Comput. Environ. Urban Syst., 2017)

Utilizing Reverse Viewshed Analysis in Image Geo-Localization. - Yuhao Kang; Song Gao 001; Yunlei Liang (LocalRec@SIGSPATIAL, 2018)

Optimizing Bus Stop Spacing Using the Simulated Annealing Algorithm with Spatial Interaction Coverage Model. - Yunlei Liang; Song Gao 001; Tianyu Wu; Sujing Wang; Yuhao Wu (IWCTS@SIGSPATIAL, 2018)

A context-based geoprocessing framework for optimizing meetup location of multiple moving objects along road networks. - Shaohua Wang 001; Song Gao 001; Xin Feng 003; Alan T. Murray; Yuan Zeng (Int. J. Geogr. Inf. Sci., 2018)

Place versus Space: From Points, Lines and Polygons in GIS to Place-Based Representations Reflecting Language and Culture. - Thomas Blaschke; Helena Merschdorf; Pablo Cabrera-Barona; Song Gao 001; Emmanuel Papadakis 002; Anna Kovacs-Györi (ISPRS Int. J. Geo Inf., 2018)

GeoAI 2018 workshop report the 2nd ACM SIGSPATIAL international workshop on GeoAI: AI for geographic knowledge discovery seattle, WA, USA - November 6, 2018. - Yingjie Hu; Song Gao 001; Shawn D. Newsam; Dalton D. Lunga (ACM SIGSPATIAL Special, 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)

A Data-Driven Approach to Understanding and Predicting the Spatiotemporal Availability of Street Parking. - Mingxiao Li 001; Song Gao 001; Yunlei Liang; Joseph Marks; Yuhao Kang; Moyin Li (SIGSPATIAL/GIS, 2019)

Predicting the spatiotemporal legality of on-street parking using open data and machine learning. - Song Gao 001; Mingxiao Li 001; Yunlei Liang; Joseph Marks; Yuhao Kang; Moying Li (Ann. GIS, 2019)

Transferring Multiscale Map Styles Using Generative Adversarial Networks. - Yuhao Kang; Song Gao 001; Robert E. Roth (CoRR, 2019)

Exploring the uncertainty of activity zone detection using digital footprints with multi-scaled DBSCAN. - Xinyi Liu; Qunying Huang; Song Gao 001 (Int. J. Geogr. Inf. Sci., 2019)

Modeling the Vagueness of Areal Geographic Objects: A Categorization System. - Yu Liu 003; Yihong Yuan; Song Gao 001 (ISPRS Int. J. Geo Inf., 2019)

Combining Design Patterns and Topic Modeling to Discover Regions That Support Particular Functionality. - Emmanuel Papadakis 002; Song Gao 001; George Baryannis (ISPRS Int. J. Geo Inf., 2019)

Exploring the effectiveness of geomasking techniques for protecting the geoprivacy of Twitter users. - Song Gao 001; Jinmeng Rao; Xinyi Liu; Yuhao Kang; Qunying Huang; Joseph App (J. Spatial Inf. Sci., 2019)

GeoAI 2019 workshop report: The 3nd ACM SIGSPATIAL International Workshop on GeoAI: AI for Geographic Knowledge Discovery: Seattle, WA, USA - November 5, 2019. - Song Gao 001; Shawn D. Newsam; Liang Zhao 002; Dalton D. Lunga; Yingjie Hu; Bruno Martins 001; Xun Zhou 001; Feng Chen 001 (ACM SIGSPATIAL Special, 2019)

GeoAI at ACM SIGSPATIAL: progress, challenges, and future directions. - Yingjie Hu; Song Gao 001; Dalton D. Lunga; Wenwen Li 002; Shawn D. Newsam; Budhendra Bhaduri (ACM SIGSPATIAL Special, 2019)

Extracting human emotions at different places based on facial expressions and spatial clustering analysis. - Yuhao Kang; Qingyuan Jia; Song Gao 001; Xiaohuan Zeng; Yueyao Wang; Stephan Angsuesser; Yu Liu 003; Xinyue Ye; Teng Fei 001 (Trans. GIS, 2019)

Reconstruction of human movement trajectories from large-scale low-frequency mobile phone data. - Mingxiao Li 001; Song Gao 001; Feng Lu 004; Hengcai Zhang (Comput. Environ. Urban Syst., 2019)

Identifying spatial interaction patterns of vehicle movements on urban road networks by topic modelling. - Kang Liu 010; Song Gao 001; Feng Lu 004 (Comput. Environ. Urban Syst., 2019)

A review of urban physical environment sensing using street view imagery in public health studies. - Yuhao Kang; Fan Zhang 011; Song Gao 001; Hui Lin 002; Yu Liu 003 (Ann. GIS, 2020)

Estimation of Regional Economic Development Indicator from Transportation Network Analytics. - Bin Li; Song Gao 001; Yunlei Liang; Yuhao Kang; Timothy Prestby; Yuqi Gao; Runmou Xiao (CoRR, 2020)

Mobile phone location data reveal the effect and geographic variation of social distancing on the spread of the COVID-19 epidemic. - Song Gao 001; Jinmeng Rao; Yuhao Kang; Yunlei Liang; Jake Kruse; Doerte Doepfer; Ajay K. Sethi; Juan Francisco Mandujano Reyes; Jonathan Patz; Brian S. Yandell (CoRR, 2020)

Multiscale Dynamic Human Mobility Flow Dataset in the U.S. during the COVID-19 Epidemic. - Yuhao Kang; Song Gao 001; Yunlei Liang; Mingxiao Li 001; Jinmeng Rao; Jake Kruse (CoRR, 2020)

Progress in computational movement analysis - towards movement data science. - Somayeh Dodge; Song Gao 001; Martin Tomko; Robert Weibel (Int. J. Geogr. Inf. Sci., 2020)

GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond. - Krzysztof Janowicz; Song Gao 001; Grant McKenzie; Yingjie Hu; Budhendra Bhaduri (Int. J. Geogr. Inf. Sci., 2020)

Mapping county-level mobility pattern changes in the United States in response to COVID-19. - Song Gao 001; Jinmeng Rao; Yuhao Kang; Yunlei Liang; Jake Kruse (ACM SIGSPATIAL Special, 2020)

Calibrating the dynamic Huff model for business analysis using location big data. - Yunlei Liang; Song Gao 001; Yuxin Cai; Natasha Zhang Foutz; Lei Wu (Trans. GIS, 2020)

Uncovering inconspicuous places using social media check-ins and street view images. - Fan Zhang 011; Jinyan Zu; Mingyuan Hu; Di Zhu 004; Yuhao Kang; Song Gao 001; Yi Zhang 064; Zhou Huang (Comput. Environ. Urban Syst., 2020)

VTSV: A Privacy-Preserving Vehicle Trajectory Simulation and Visualization Platform Using Deep Reinforcement Learning. - Jinmeng Rao; Song Gao 001; Xiaojin Zhu 001 (GeoAI@SIGSPATIAL, 2021)

LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection. - Jinmeng Rao; Song Gao 001; Yuhao Kang; Qunying Huang (GIScience (I), 2021)

Prediction of human activity intensity using the interactions in physical and social spaces through graph convolutional networks. - Mingxiao Li 001; Song Gao 001; Feng Lu 004; Kang Liu 010; Hengcai Zhang; Wei Tu 001 (Int. J. Geogr. Inf. Sci., 2021)

Urban Flood Mapping With Bitemporal Multispectral Imagery Via a Self-Supervised Learning Framework. - Bo Peng; Qunying Huang; Jamp Vongkusolkit; Song Gao 001; Daniel B. Wright; Zheng N. Fang; Yi Qiang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A privacy-preserving framework for location recommendation using decentralized collaborative machine learning. - Jinmeng Rao; Song Gao 001; Mingxiao Li 001; Qunying Huang (Trans. GIS, 2021)

Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach. - Sheng Hu 001; Song Gao 001; Liang Wu 005; Yongyang Xu; Ziwei Zhang 007; Haifu Cui; Xi Gong (Comput. Environ. Urban Syst., 2021)

Places for play: Understanding human perception of playability in cities using street view images and deep learning. - Jacob Kruse; Yuhao Kang; Yu-Ning Liu; Fan Zhang 011; Song Gao 001 (Comput. Environ. Urban Syst., 2021)

Activity knowledge discovery: Detecting collective and individual activities with digital footprints and open source geographic data. - Xinyi Liu; Qunying Huang; Song Gao 001; Jizhe Xia (Comput. Environ. Urban Syst., 2021)

GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research. - Dalton D. Lunga; Yingjie Hu; Shawn D. Newsam; Song Gao 001; Bruno Martins 001; Hsiu-Han Lexie Yang; Xueqing Deng (ACM SIGSPATIAL Special, 2021)

Exploring multilevel regularity in human mobility patterns using a feature engineering approach: a case study in chicago. - Yuhan Ji; Song Gao 001; Jacob Kruse; Tam Huynh; James Triveri; Chris Scheele; Collin Bennett; Yicheng Wen (SIGSPATIAL/GIS, 2022)

Region2Vec: community detection on spatial networks using graph embedding with node attributes and spatial interactions. - Yunlei Liang; Jiawei Zhu; Wen Ye 001; Song Gao 001 (SIGSPATIAL/GIS, 2022)

Spatiotemporal heterogeneities of the associations between human mobility and close contacts with COVID-19 infections in the United States. - Wen Ye 001; Song Gao 001 (SIGSPATIAL/GIS, 2022)

Towards the intelligent era of spatial analysis and modeling. - Di Zhu 004; Song Gao 001; Guofeng Cao (GeoAI@SIGSPATIAL, 2022)

Understanding the spatiotemporal heterogeneities in the associations between COVID-19 infections and both human mobility and close contacts in the United States. - Wen Ye 001; Song Gao 001 (SpatialEpi, 2022)

COVID-19 lockdown introduces human mobility pattern changes for both Guangdong-Hong Kong-Macao greater bay area and the San Francisco bay area. - Leiyang Zhong; Ying Zhou; Song Gao 001; Zhaoyang Yu; Zhifeng Ma; Xiaoming Li 009; Yang Yue 001; Jizhe Xia (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Measuring Network Resilience via Geospatial Knowledge Graph: a Case Study of the US Multi-Commodity Flow Network. - Jinmeng Rao; Song Gao 001; Michelle Miller 006; Alfonso Morales (CoRR, 2022)

Revealing intra-urban spatial structure through an exploratory analysis by combining road network abstraction model and taxi trajectory data. - Sheng Hu 001; Song Gao 001; Wei Luo; Liang Wu 005; Tianqi Li; Yongyang Xu; Ziwei Zhang 007 (CoRR, 2022)

STICC: a multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity. - Yuhao Kang; Kunlin Wu; Song Gao 001; Ignavier Ng; Jinmeng Rao; Shan Ye; Fan Zhang 011; Teng Fei 001 (Int. J. Geogr. Inf. Sci., 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)

DeepSSN: A deep convolutional neural network to assess spatial scene similarity. - Danhuai Guo; Shiyin Ge; Shu Zhang; Song Gao 001; Ran Tao 012; Yangang Wang (Trans. GIS, 2022)

Exploring the spatial disparity of home-dwelling time patterns in the USA during the COVID-19 pandemic via Bayesian inference. - Xiao Huang 003; Yang Xu 002; Rui Liu; Siqin Wang; Sicheng Wang; Mengxi Zhang; Yuhao Kang; Zhe Zhang 001; Song Gao 001; Bo Zhao 036; Zhenlong Li (Trans. GIS, 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)

Explainable artificial intelligence in the spatial domain (X-GeoAI). - Emmanuel Papadakis 002; Benjamin Adams; Song Gao 001; Bruno Martins 001; George Baryannis; Alina Ristea (Trans. GIS, 2022)

Introduction to the Special Issue on Understanding the Spread of COVID-19, Part 2. - Andreas Züfle; Song Gao 001; Taylor Anderson 001 (ACM Trans. Spatial Algorithms Syst., 2022)

Introduction to the Special Issue on Understanding the Spread of COVID-19, Part 1. - Andreas Züfle; Taylor Anderson 001; Song Gao 001 (ACM Trans. Spatial Algorithms Syst., 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)

FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows. - Yuxiao Qu; Jinmeng Rao; Song Gao 001; Qianheng Zhang; Wei-Lun Chao; Yu Su 001; Michelle Miller 006; Alfonso Morales; Patrick R. Huber (GeoAI@SIGSPATIAL, 2023)

Measuring Access Inequality in A Hybrid Physical-Virtual World: : A Case Study of Racial Disparity of Healthcare Access During CoVID-19. - Meiliu Wu; Qunying Huang; Song Gao 001 (Geoinformatics, 2023)

Geo-knowledge-informed Deep Learning for Auto-identification of Supraglacial Lakes on the Greenland Ice Sheet from Satellite Imagery. - Wei Chen; Song Gao 001; Feng Zhang (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)

Evaluating the Effectiveness of Large Language Models in Representing Textual Descriptions of Geometry and Spatial Relations (Short Paper). - Yuhan Ji; Song Gao 001 (GIScience, 2023)

Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data. - Cheng-Hao Tu 001; Hong-You Chen; Zheda Mai; Jike Zhong; Vardaan Pahuja; Tanya Y. Berger-Wolf; Song Gao 001; Charles V. Stewart; Yu Su 001; Wei-Lun Chao (NeurIPS, 2023)

An Interactive Knowledge and Learning Environment in Smart Foodsheds. - Yamei Tu; Xiaoqi Wang; Rui Qiu; Han-Wei Shen; Michelle Miller 006; Jinmeng Rao; Song Gao 001; Patrick R. Huber; Allan Hollander; Matthew Lange; Christian Garcia; Joe Stubbs (IEEE Computer Graphics and Applications, 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)

Evaluating the Effectiveness of Large Language Models in Representing Textual Descriptions of Geometry and Spatial Relations. - Yuhan Ji; Song Gao 001 (CoRR, 2023)

Bringing Spatial Interaction Measures into Multi-Criteria Assessment of Redistricting Plans Using Interactive Web Mapping. - Jacob Kruse; Song Gao 001; Yuhan Ji; Daniel P. Szabo; Kenneth Mayer (CoRR, 2023)

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

Here Is Not There: Measuring Entailment-Based Trajectory Similarity for Location-Privacy Protection and Beyond. - Zilong Liu; Krzysztof Janowicz; Kitty Currier; Meilin Shi; Jinmeng Rao; Song Gao 001; Ling Cai; Anita Graser (CoRR, 2023)

Artificial Intelligence Studies in Cartography: A Review and Synthesis of Methods, Applications, and Ethics. - Yuhao Kang; Song Gao 001; Robert E. Roth (CoRR, 2023)

Special issue on geospatial artificial intelligence. - Song Gao 001; Yingjie Hu; Wenwen Li 002; Lei Zou 002 (GeoInformatica, 2023)

Choosing GIS graduate programs from afar: Chinese students' perspectives. - Yikang Wang; Yuhao Kang; Haokun Liu; Ce Hou; Bing Zhou; Shan Ye; Yuyan Liu; Jinmeng Rao; Zhenghao Pei; Xiang Ye; Song Gao 001 (Trans. GIS, 2023)

Rethinking the regularity in mobility patterns of personal vehicle drivers: A multi-city comparison using a feature engineering approach. - Yuhan Ji; Song Gao 001; Tam Huynh; Chris Scheele; James Triveri; Jacob Kruse; Collin Bennett; Yicheng Wen (Trans. GIS, 2023)

Embracing geospatial analytical technologies in tourism studies. - Yang Yang; Xiang Chen 002; Song Gao 001; Zhenlong Li; Zhe Zhang 001; Bo Zhao 036 (J. Inf. Technol. Tour., 2023)

Incorporating multimodal context information into traffic speed forecasting through graph deep learning. - Yatao Zhang; Tianhong Zhao; Song Gao 001; Martin Raubal (Int. J. Geogr. Inf. Sci., 2023)

Revealing intra-urban hierarchical spatial structure through representation learning by combining road network abstraction model and taxi trajectory data. - Sheng Hu 001; Song Gao 001; Wei Luo; Liang Wu 005; Tianqi Li; Yongyang Xu; Ziwei Zhang 007 (Ann. GIS, 2023)

Mixed land use measurement and mapping with street view images and spatial context-aware prompts via zero-shot multimodal learning. - Meiliu Wu; Qunying Huang; Song Gao 001; Zhou Zhang 001 (Int. J. Appl. Earth Obs. Geoinformation, 2023)

CATS: Conditional Adversarial Trajectory Synthesis for privacy-preserving trajectory data publication using deep learning approaches. - Jinmeng Rao; Song Gao 001; Sijia Zhu (Int. J. Geogr. Inf. Sci., 2023)

Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs. - Vardaan Pahuja; Weidi Luo; Yu Gu 016; Cheng-Hao Tu 001; Hong-You Chen; Tanya Y. Berger-Wolf; Charles V. Stewart; Song Gao 001; Wei-Lun Chao; Yu Su 001 (CIKM, 2024)

ChatGPT for Intelligent Spatial Analysis Workflow Construction. - Ying Nie; Song Gao 001 (SIGSPATIAL/GIS, 2024)

Automating Geospatial Analysis Workflows Using ChatGPT-4. - Qianheng Zhang; Song Gao 001 (SIGSPATIAL/GIS, 2024)

Fine-Tuning is Fine, if Calibrated. - Zheda Mai; Arpita Chowdhury; Ping Zhang 016; Cheng-Hao Tu 001; Hong-You Chen; Vardaan Pahuja; Tanya Y. Berger-Wolf; Song Gao 001; Charles V. Stewart; Yu Su 001; Wei-Lun Chao (NeurIPS, 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)

Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs. - Vardaan Pahuja; Weidi Luo; Yu Gu 016; Cheng-Hao Tu 001; Hong-You Chen; Tanya Y. Berger-Wolf; Charles V. Stewart; Song Gao 001; Wei-Lun Chao; Yu Su 001 (CoRR, 2024)

Evaluating the Effectiveness of Large Language Models in Representing and Understanding Movement Trajectories. - Yuhan Ji; Song Gao 001 (CoRR, 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)

A five-year milestone: reflections on advances and limitations in GeoAI research. - Yingjie Hu; Michael F. Goodchild; A-Xing Zhu; May Yuan; Orhun Aydin; Budhendra Bhaduri; Song Gao 001; Wenwen Li 002; Dalton D. Lunga; Shawn D. Newsam (Ann. GIS, 2024)

Act2Loc: a synthetic trajectory generation method by combining machine learning and mechanistic models. - Kang Liu 010; Xin Jin; Shifen Cheng; Song Gao 001; Ling Yin 001; Feng Lu 004 (Int. J. Geogr. Inf. Sci., 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)

Automatic delineation of rational service areas and health professional shortage areas in GIS based on human movements and health resources. - Yunlei Liang; Song Gao 001 (Trans. GIS, 2024)

Deephullnet: a deep learning approach for solving the convex hull and concave hull problems with transformer. - Haojian Liang; Shaohua Wang 001; Song Gao 001; Huilai Li; Cheng Su; Hao Lu; Xueyan Zhang; Xi Chen; Yinan Chen (Int. J. Digit. Earth, 2024)

ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery. - Ziru Chen; Shijie Chen; Yuting Ning; Qianheng Zhang; Boshi Wang; Botao Yu; Yifei Li 005; Zeyi Liao; Chen Wei; Zitong Lu; Vishal Dey; Mingyi Xue 001; et al. (ICLR, 2025)

A gravity-inspired model integrating geospatial and socioeconomic distances for truck origin-destination flows prediction. - Yibo Zhao; Shifen Cheng; Song Gao 001; Feng Lu 004 (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Scale Snapshot Topology Distance: Quantifying the Spatial Scale Effect From a Topological Perspective. - Jiawei Zhu; Song Gao 001; Chao Tao 001; Yu Liu 003; Haifeng Li 007 (Trans. GIS, 2025)

GeoAI-enhanced community detection on spatial networks with graph deep learning. - Yunlei Liang; Jiawei Zhu; Wen Ye 001; Song Gao 001 (Comput. Environ. Urban Syst., 2025)

Identifying rich clubs in spatiotemporal interaction networks. - Jacob Kruse; Song Gao 001; Yuhan Ji; Keith Levin; Qunying Huang; Kenneth Mayer (CoRR, 2025)

GIScience in the Era of Artificial Intelligence: A Research Agenda Towards Autonomous GIS. - Zhenlong Li; Huan Ning; Song Gao 001; Krzysztof Janowicz; Wenwen Li 002; Samantha T. Arundel; Chaowei Yang; Budhendra Bhaduri; Shaowen Wang 001; A-Xing Zhu; Mark Gahegan; Shashi Shekhar 001; et al. (CoRR, 2025)

Understanding of the predictability and uncertainty in population distributions empowered by visual analytics. - Peng Luo 001; Chuan Chen; Song Gao 001; Xianfeng Zhang; Deng Majok Chol; Zhuo Yang; Liqiu Meng (Int. J. Geogr. Inf. Sci., 2025)

Context-Aware Knowledge Graph Framework for Traffic Speed Forecasting Using Graph Neural Network. - Yatao Zhang; Yi Wang 123; Song Gao 001; Martin Raubal (IEEE Trans. Intell. Transp. Syst., 2025)

AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists. - Yifei Li 005; Hanane Nour Moussa; Ziru Chen; Shijie Chen; Botao Yu; Mingyi Xue 001; Benjamin Burns; Tzu-Yao Chiu; Vishal Dey; Zitong Lu; Chen Wei; Qianheng Zhang; et al. (CoRR, 2025)

Neural representation of geoinformation in the human brain: affected by abstraction levels and spatial scales. - Tianyu Yang; Bo Zhao 036; Song Gao 001; Weihua Dong (Ann. GIS, 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)

Foundation models for geospatial reasoning: assessing the capabilities of large language models in understanding geometries and topological spatial relations. - Yuhan Ji; Song Gao 001; Ying Nie; Ivan Majic; Krzysztof Janowicz (Int. J. Geogr. Inf. Sci., 2025)