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Pre-trained Foundation Models (PFMs) have ushered in a paradigm-shift in Artificial Intelligence, due to their ability to learn general-purpose representations that can be readily employed in a wide range of downstream tasks.
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Using OpenStreetMap point-of-interest data to model urban change—A feasibility study
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Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (Honolulu, Hawaii, USA). AAAI Press, Article 157, 8 pages
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Context-Aware Deep Model for Joint Mobility and Time Prediction. In Proceedings of the 13th International Conference on Web Search and Data Mining (Houston, TX, USA) (WSDM ’20) . Association for Computing Machinery, New York, NY, USA, 106–114
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Relational Fusion Networks: Graph Convolutional Networks for Road Networks
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Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding
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Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter. In Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data (Portland, OR, USA) (SIGMOD ’20) . Association for Computing Machinery, New York, NY, USA, 2135–2149
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Geospatial Entity Resolution. In Proceedings of the ACM Web Conference 2022 (Virtual Event, Lyon, France) (WWW ’22) . Association for Computing Machinery, New York, NY, USA, 3061–3070
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Learning urban region representations with POIs and hierarchical graph infomax
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OpenSentinelMap: A Large-Scale Land Use Dataset using OpenStreetMap and Sentinel-2 Imagery. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) . 1332–1340
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Digital twin of a city: Review of technology serving city needs
Ville V. Lehtola, Mila Koeva, Sander Oude Elberink, Paulo Raposo, Juho-Pekka Virtanen, Faridaddin Vahdatikhaki, and Simone Borsci. 2022 · 2022
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Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (Madrid, Spain) (SIGIR ’22) . Association for Computing Machinery, New York, NY, USA, 2612–2616
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SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation
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Liang Zhang, Cheng Long, and Gao Cong. 2023 · 2022
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Mining Geospatial Relationships from Text
Pasquale Balsebre, Dezhong Yao, Gao Cong, Weiming Huang, and Zhen Hai. 2023 · 2023
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Effectiveness Perspectives and a Deep Relevance Model for Spatial Keyword Queries
Shang Liu, Gao Cong, Kaiyu Feng, Wanli Gu, and Fuzheng Zhang. 2023 · 2023
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On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence
Gengchen Mai, Weiming Huang, Jin Sun, Suhang Song, Deepak Mishra, Ninghao Liu, Song Gao, Tianming Liu, Gao Cong, Yingjie Hu, Chris Cundy, Ziyuan Li, Rui Zhu, and Ni Lao. 2023 · 2023
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Building energy performance prediction: A reliability analysis and evaluation of feature selection methods
Razak Olu-Ajayi, Hafiz Alaka, Ismail Sulaimon, Habeeb Balogun, Godoyon Wusu, Wasiu Yusuf, and Muideen Adegoke. 2023 · 2023
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