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ORCIDSong Gao 0001
Person information
- affiliation: University of Wisconsin, Department of Geography, Madison, USA
- affiliation (former): University of California, Santa Barbara, USA
- affiliation (former): Peking University, China
- affiliation (former): Beijing Normal University, China
Other persons with the same name
- Song Gao — disambiguation page
- Song Gao 0002 — Texas A&M University, Prairie View, TX, USA
- Song Gao 0003 — Jilin University, Changchun, China
- Song Gao 0004 — National University of Singapore
- Song Gao 0005 — Concordia University, Montreal, Canada
- Song Gao 0006 — Auburn University, AL, USA
- Song Gao 0007 — Yonsei University, Korea
- Song Gao 0008 — Xi'an Jiaotong University, Xian, China
- Song Gao 0009 — Chinese Academy of Sciences, Institute of Automation, Beijing, China
- Song Gao 0010 — Google (and 1 more)
- Song Gao 0011
![[0000-0002-3367-2546]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3367-2546")
— Shandong University of Technology, School of Transportation and Vehicle Engineering, Zibo, China (and 1 more) - Song Gao 0012 — Henan University of Science and Technology, College of Agriculture Equipment Engineering, Luoyang, China
- Song Gao 0013 — Tongji University, School of Economics and Management, Shanghai, China
- Song Gao 0014 — Chinese Academy of Sciences, Institute of Software, State Key Laboratory of Computer Science, Beijing, China (and 1 more)
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2020 – today
- 2025
[j69]Yibo Zhao, Shifen Cheng, Song Gao, Feng Lu:
A gravity-inspired model integrating geospatial and socioeconomic distances for truck origin-destination flows prediction. Int. J. Appl. Earth Obs. Geoinformation 136: 104328 (2025)- [j68]Peng Luo, Chuan Chen, Song Gao, Xianfeng Zhang, Deng Majok Chol, Zhuo Yang, Liqiu Meng:
Understanding of the predictability and uncertainty in population distributions empowered by visual analytics. Int. J. Geogr. Inf. Sci. 39(3): 675-705 (2025) - [j67]Yatao Zhang, Yi Wang, Song Gao, Martin Raubal:
Context-Aware Knowledge Graph Framework for Traffic Speed Forecasting Using Graph Neural Network. IEEE Trans. Intell. Transp. Syst. 26(3): 3885-3902 (2025) - [j66]Yunlei Liang, Jiawei Zhu, Wen Ye, Song Gao:
GeoAI-enhanced community detection on spatial networks with graph deep learning. Comput. Environ. Urban Syst. 117: 102228 (2025) - [c35]Ziru Chen, Shijie Chen, Yuting Ning, Qianheng Zhang, Boshi Wang, Botao Yu, Yifei Li, Zeyi Liao, Chen Wei, Zitong Lu, Vishal Dey, Mingyi Xue, Frazier N. Baker, Benjamin Burns, Daniel Adu-Ampratwum, Xuhui Huang, Xia Ning, Song Gao, Yu Su, Huan Sun:
ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery. ICLR 2025 - [i34]Jacob Kruse, Song Gao, Yuhan Ji, Keith Levin, Qunying Huang, Kenneth Mayer:
Identifying rich clubs in spatiotemporal interaction networks. CoRR abs/2501.05636 (2025) - [i33]Zhenlong Li, Huan Ning, Song Gao, Krzysztof Janowicz, Wenwen Li, Samantha T. Arundel, Chaowei Yang, Budhendra Bhaduri, Shaowen Wang, A-Xing Zhu, Mark Gahegan, Shashi Shekhar, Xinyue Ye, Grant McKenzie, Guido Cervone, Michael E. Hodgson:
GIScience in the Era of Artificial Intelligence: A Research Agenda Towards Autonomous GIS. CoRR abs/2503.23633 (2025) - 2024
- [j65]Danhuai Guo, Yingxue Yu, Shiyin Ge, Song Gao, Gengchen Mai, Huixuan Chen:
SpatialScene2Vec: A self-supervised contrastive representation learning method for spatial scene similarity evaluation. Int. J. Appl. Earth Obs. Geoinformation 128: 103743 (2024) - [j64]Yingjie Hu, Michael F. Goodchild, A-Xing Zhu, May Yuan, Orhun Aydin, Budhendra Bhaduri, Song Gao, Wenwen Li, Dalton D. Lunga, Shawn D. Newsam:
A five-year milestone: reflections on advances and limitations in GeoAI research. Ann. GIS 30(1): 1-14 (2024) - [j63]Haojian Liang, Shaohua Wang, Song Gao, Huilai Li, Cheng Su, Hao Lu, Xueyan Zhang, Xi Chen, Yinan Chen:
Deephullnet: a deep learning approach for solving the convex hull and concave hull problems with transformer. Int. J. Digit. Earth 17(1) (2024) - [j62]Kang Liu, Xin Jin, Shifen Cheng, Song Gao, Ling Yin, Feng Lu:
Act2Loc: a synthetic trajectory generation method by combining machine learning and mechanistic models. Int. J. Geogr. Inf. Sci. 38(3): 407-431 (2024) - [j61]Yunlei Liang, Song Gao:
Automatic delineation of rational service areas and health professional shortage areas in GIS based on human movements and health resources. Trans. GIS 28(6): 1639-1661 (2024) - [j60]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, Ni Lao:
On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper). ACM Trans. Spatial Algorithms Syst. 10(2): 11 (2024) - [c34]Vardaan Pahuja, Weidi Luo, Yu Gu, Cheng-Hao Tu, Hong-You Chen, Tanya Y. Berger-Wolf, Charles V. Stewart, Song Gao, Wei-Lun Chao, Yu Su:
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs. CIKM 2024: 1825-1835 - [c33]Ying Nie, Song Gao:
ChatGPT for Intelligent Spatial Analysis Workflow Construction. SIGSPATIAL/GIS 2024: 713-714 - [c32]Qianheng Zhang, Song Gao:
Automating Geospatial Analysis Workflows Using ChatGPT-4. SIGSPATIAL/GIS 2024: 715-716 - [c31]Zheda Mai, Arpita Chowdhury, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao:
Fine-Tuning is Fine, if Calibrated. NeurIPS 2024 - [e10]Song Gao, Gengchen Mai, Shawn D. Newsam, Lexie Yang, Dalton D. Lunga, Di Zhu, Bruno Martins, Samantha T. Arundel:
Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2024, Atlanta, GA, USA, 29 October 2024 - 1 November 2024. ACM 2024, ISBN 979-8-4007-1176-3 [contents] - [e9]Jinmeng Rao, Emre Eftelioglu, Heba Aly, Yiqun Xie, Song Gao:
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications, GeoIndustry 2024, Atlanta, GA, USA, 29 October 2024 - 1 November 2024. ACM 2024, ISBN 979-8-4007-1145-9 [contents] - [i32]Vardaan Pahuja, Weidi Luo, Yu Gu, Cheng-Hao Tu, Hong-You Chen, Tanya Y. Berger-Wolf, Charles V. Stewart, Song Gao, Wei-Lun Chao, Yu Su:
Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs. CoRR abs/2401.00608 (2024) - [i31]Yatao Zhang, Yi Wang, Song Gao, Martin Raubal:
Context-aware knowledge graph framework for traffic speed forecasting using graph neural network. CoRR abs/2407.17703 (2024) - [i30]Yuhan Ji, Song Gao:
Evaluating the Effectiveness of Large Language Models in Representing and Understanding Movement Trajectories. CoRR abs/2409.00335 (2024) - [i29]Zheda Mai, Arpita Chowdhury, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao:
Fine-Tuning is Fine, if Calibrated. CoRR abs/2409.16223 (2024) - [i28]Ziru Chen, Shijie Chen, Yuting Ning, Qianheng Zhang, Boshi Wang, Botao Yu, Yifei Li, Zeyi Liao, Chen Wei, Zitong Lu, Vishal Dey, Mingyi Xue, Frazier N. Baker, Benjamin Burns, Daniel Adu-Ampratwum, Xuhui Huang, Xia Ning, Song Gao, Yu Su, Huan Sun:
ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery. CoRR abs/2410.05080 (2024) - [i27]Yunlei Liang, Jiawei Zhu, Wen Ye, Song Gao:
GeoAI-Enhanced Community Detection on Spatial Networks with Graph Deep Learning. CoRR abs/2411.15428 (2024) - 2023
- [j59]Meiliu Wu, Qunying Huang, Song Gao, Zhou Zhang:
Mixed land use measurement and mapping with street view images and spatial context-aware prompts via zero-shot multimodal learning. Int. J. Appl. Earth Obs. Geoinformation 125: 103591 (2023) - [j58]Sheng Hu, Song Gao, Wei Luo, Liang Wu, Tianqi Li, Yongyang Xu, Ziwei Zhang:
Revealing intra-urban hierarchical spatial structure through representation learning by combining road network abstraction model and taxi trajectory data. Ann. GIS 29(4): 499-516 (2023) - [j57]Yamei Tu, Xiaoqi Wang, Rui Qiu, Han-Wei Shen, Michelle Miller, Jinmeng Rao, Song Gao, Patrick R. Huber, Allan Hollander, Matthew Lange, Christian Garcia, Joe Stubbs:
An Interactive Knowledge and Learning Environment in Smart Foodsheds. IEEE Computer Graphics and Applications 43(3): 36-47 (2023) - [j56]Song Gao, Yingjie Hu, Wenwen Li, Lei Zou:
Special issue on geospatial artificial intelligence. GeoInformatica 27(2): 133-136 (2023) - [j55]Yatao Zhang, Tianhong Zhao, Song Gao, Martin Raubal:
Incorporating multimodal context information into traffic speed forecasting through graph deep learning. Int. J. Geogr. Inf. Sci. 37(9): 1909-1935 (2023) - [j54]Jinmeng Rao, Song Gao, Sijia Zhu:
CATS: Conditional Adversarial Trajectory Synthesis for privacy-preserving trajectory data publication using deep learning approaches. Int. J. Geogr. Inf. Sci. 37(12): 2538-2574 (2023) - [j53]Yang Yang, Xiang Chen, Song Gao, Zhenlong Li, Zhe Zhang, Bo Zhao:
Embracing geospatial analytical technologies in tourism studies. J. Inf. Technol. Tour. 25(2): 137-150 (2023) - [j52]Yikang Wang, Yuhao Kang, Haokun Liu, Ce Hou, Bing Zhou, Shan Ye, Yuyan Liu, Jinmeng Rao, Zhenghao Pei, Xiang Ye, Song Gao:
Choosing GIS graduate programs from afar: Chinese students' perspectives. Trans. GIS 27(2): 450-475 (2023) - [j51]Yuhan Ji, Song Gao, Tam Huynh, Chris Scheele, James Triveri, Jacob Kruse, Collin Bennett, Yicheng Wen:
Rethinking the regularity in mobility patterns of personal vehicle drivers: A multi-city comparison using a feature engineering approach. Trans. GIS 27(3): 663-685 (2023) - [c30]Yuxiao Qu, Jinmeng Rao, Song Gao, Qianheng Zhang, Wei-Lun Chao, Yu Su, Michelle Miller, Alfonso Morales, Patrick R. Huber:
FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows. GeoAI@SIGSPATIAL 2023: 63-72 - [c29]Meiliu Wu, Qunying Huang, Song Gao:
Measuring Access Inequality in A Hybrid Physical-Virtual World: : A Case Study of Racial Disparity of Healthcare Access During CoVID-19. Geoinformatics 2023: 1-10 - [c28]Wei Chen, Song Gao, Feng Zhang:
Geo-knowledge-informed Deep Learning for Auto-identification of Supraglacial Lakes on the Greenland Ice Sheet from Satellite Imagery. SIGSPATIAL/GIS 2023: 19:1-19:4 - [c27]Jinmeng Rao, Song Gao, Gengchen Mai, Krzysztof Janowicz:
Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models (Vision Paper). SIGSPATIAL/GIS 2023: 41:1-41:4 - [c26]Yiqun Xie, Zhaonan Wang, Gengchen Mai, Yanhua Li, Xiaowei Jia, Song Gao, Shaowen Wang:
Geo-Foundation Models: Reality, Gaps and Opportunities. SIGSPATIAL/GIS 2023: 66:1-66:4 - [c25]Yuhan Ji, Song Gao:
Evaluating the Effectiveness of Large Language Models in Representing Textual Descriptions of Geometry and Spatial Relations (Short Paper). GIScience 2023: 43:1-43:6 - [c24]Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao:
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data. NeurIPS 2023 - [e8]Shawn D. Newsam, Lexie Yang, Gengchen Mai, Bruno Martins, Dalton D. Lunga, Song Gao:
Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2023, Hamburg, Germany, 13 November 2023. ACM 2023 [contents] - [e7]Jinmeng Rao, Song Gao, Heba Aly, Emre Eftelioglu, Yan Li, Yiqun Xie:
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications, GeoIndustry 2023, Hamburg, Germany, 13 November 2023. ACM 2023 [contents] - [i26]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, Ni Lao:
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence. CoRR abs/2304.06798 (2023) - [i25]Yuhan Ji, Song Gao:
Evaluating the Effectiveness of Large Language Models in Representing Textual Descriptions of Geometry and Spatial Relations. CoRR abs/2307.03678 (2023) - [i24]Jinmeng Rao, Song Gao, Sijia Zhu:
CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning Approaches. CoRR abs/2309.11587 (2023) - [i23]Jacob Kruse, Song Gao, Yuhan Ji, Daniel P. Szabo, Kenneth Mayer:
Bringing Spatial Interaction Measures into Multi-Criteria Assessment of Redistricting Plans Using Interactive Web Mapping. CoRR abs/2309.13480 (2023) - [i22]Jinmeng Rao, Song Gao, Gengchen Mai, Krzysztof Janowicz:
Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models. CoRR abs/2309.17319 (2023) - [i21]Yuxiao Qu, Jinmeng Rao, Song Gao, Qianheng Zhang, Wei-Lun Chao, Yu Su, Michelle Miller, Alfonso Morales, Patrick R. Huber:
FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows. CoRR abs/2310.13248 (2023) - [i20]Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao:
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data. CoRR abs/2311.01420 (2023) - [i19]Zilong Liu, Krzysztof Janowicz, Kitty Currier, Meilin Shi, Jinmeng Rao, Song Gao, Ling Cai, Anita Graser:
Here Is Not There: Measuring Entailment-Based Trajectory Similarity for Location-Privacy Protection and Beyond. CoRR abs/2312.01151 (2023) - [i18]Yuhao Kang, Song Gao, Robert E. Roth:
Artificial Intelligence Studies in Cartography: A Review and Synthesis of Methods, Applications, and Ethics. CoRR abs/2312.07901 (2023) - 2022
- [j50]Leiyang Zhong, Ying Zhou, Song Gao, Zhaoyang Yu, Zhifeng Ma, Xiaoming Li, Yang Yue, Jizhe Xia:
COVID-19 lockdown introduces human mobility pattern changes for both Guangdong-Hong Kong-Macao greater bay area and the San Francisco bay area. Int. J. Appl. Earth Obs. Geoinformation 112: 102848 (2022) - [j49]Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao, Bo Yan, Rui Zhu, Ling Cai, Ni Lao:
A review of location encoding for GeoAI: methods and applications. Int. J. Geogr. Inf. Sci. 36(4): 639-673 (2022) - [j48]Yuhao Kang, Kunlin Wu, Song Gao, Ignavier Ng, Jinmeng Rao, Shan Ye, Fan Zhang, Teng Fei:
STICC: a multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity. Int. J. Geogr. Inf. Sci. 36(8): 1518-1549 (2022) - [j47]Bruno Martins, Dalton D. Lunga, Song Gao, Shawn D. Newsam, Lexie Yang, Xueqing Deng, Gengchen Mai:
Report of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2022). ACM SIGSPATIAL Special 14(1): 23-25 (2022) - [j46]Danhuai Guo, Shiyin Ge, Shu Zhang, Song Gao, Ran Tao, Yangang Wang:
DeepSSN: A deep convolutional neural network to assess spatial scene similarity. Trans. GIS 26(4): 1914-1938 (2022) - [j45]Xiao Huang, Yang Xu, Rui Liu, Siqin Wang, Sicheng Wang, Mengxi Zhang, Yuhao Kang, Zhe Zhang, Song Gao, Bo Zhao, Zhenlong Li:
Exploring the spatial disparity of home-dwelling time patterns in the USA during the COVID-19 pandemic via Bayesian inference. Trans. GIS 26(4): 1939-1961 (2022) - [j44]Emmanuel Papadakis, Benjamin Adams, Song Gao, Bruno Martins, George Baryannis, Alina Ristea:
Explainable artificial intelligence in the spatial domain (X-GeoAI). Trans. GIS 26(6): 2413-2414 (2022) - [j43]Gengchen Mai, Yingjie Hu, Song Gao, Ling Cai, Bruno Martins, Johannes Scholz, Jing Gao, Krzysztof Janowicz:
Symbolic and subsymbolic GeoAI: Geospatial knowledge graphs and spatially explicit machine learning. Trans. GIS 26(8): 3118-3124 (2022) - [j42]Andreas Züfle, Taylor Anderson, Song Gao:
Introduction to the Special Issue on Understanding the Spread of COVID-19, Part 1. ACM Trans. Spatial Algorithms Syst. 8(3): 1-5 (2022) - [j41]Andreas Züfle, Song Gao, Taylor Anderson:
Introduction to the Special Issue on Understanding the Spread of COVID-19, Part 2. ACM Trans. Spatial Algorithms Syst. 8(4): 25e:1-25e:5 (2022) - [c23]Di Zhu, Song Gao, Guofeng Cao:
Towards the intelligent era of spatial analysis and modeling. GeoAI@SIGSPATIAL 2022: 10-13 - [c22]Yunlei Liang, Jiawei Zhu, Wen Ye, Song Gao:
Region2Vec: community detection on spatial networks using graph embedding with node attributes and spatial interactions. SIGSPATIAL/GIS 2022: 39:1-39:4 - [c21]Yuhan Ji, Song Gao, Jacob Kruse, Tam Huynh, James Triveri, Chris Scheele, Collin Bennett, Yicheng Wen:
Exploring multilevel regularity in human mobility patterns using a feature engineering approach: a case study in chicago. SIGSPATIAL/GIS 2022: 71:1-71:4 - [c20]Wen Ye, Song Gao:
Spatiotemporal heterogeneities of the associations between human mobility and close contacts with COVID-19 infections in the United States. SIGSPATIAL/GIS 2022: 113:1-113:2 - [c19]Wen Ye, Song Gao:
Understanding the spatiotemporal heterogeneities in the associations between COVID-19 infections and both human mobility and close contacts in the United States. SpatialEpi 2022: 1-9 - [i17]Danhuai Guo, Shiyin Ge, Shu Zhang, Song Gao, Ran Tao, Yangang Wang:
DeepSSN: a deep convolutional neural network to assess spatial scene similarity. CoRR abs/2202.04755 (2022) - [i16]Yuhao Kang, Kunlin Wu, Song Gao, Ignavier Ng, Jinmeng Rao, Shan Ye, Fan Zhang, Teng Fei:
STICC: A multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity. CoRR abs/2203.09611 (2022) - [i15]Yunlei Liang, Jiawei Zhu, Wen Ye, Song Gao:
Region2Vec: Community Detection on Spatial Networks Using Graph Embedding with Node Attributes and Spatial Interactions. CoRR abs/2210.08041 (2022) - [i14]Jinmeng Rao, Song Gao, Michelle Miller, Alfonso Morales:
Measuring Network Resilience via Geospatial Knowledge Graph: a Case Study of the US Multi-Commodity Flow Network. CoRR abs/2210.08042 (2022) - [i13]Dalton D. Lunga, Yingjie Hu, Shawn D. Newsam, Song Gao, Bruno Martins, Hsiuhan Lexie Yang, Xueqing Deng:
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research. CoRR abs/2210.13207 (2022) - [i12]Sheng Hu, Song Gao, Wei Luo, Liang Wu, Tianqi Li, Yongyang Xu, Ziwei Zhang:
Revealing intra-urban spatial structure through an exploratory analysis by combining road network abstraction model and taxi trajectory data. CoRR abs/2211.11292 (2022) - 2021
- [j40]Mingxiao Li, Song Gao, Feng Lu, Kang Liu, Hengcai Zhang, Wei Tu:
Prediction of human activity intensity using the interactions in physical and social spaces through graph convolutional networks. Int. J. Geogr. Inf. Sci. 35(12): 2489-2516 (2021) - [j39]Dalton D. Lunga, Yingjie Hu, Shawn D. Newsam, Song Gao, Bruno Martins, Hsiu-Han Lexie Yang, Xueqing Deng:
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research. ACM SIGSPATIAL Special 13(3): 21-32 (2021) - [j38]Bo Peng, Qunying Huang, Jamp Vongkusolkit, Song Gao, Daniel B. Wright, Zheng N. Fang, Yi Qiang:
Urban Flood Mapping With Bitemporal Multispectral Imagery Via a Self-Supervised Learning Framework. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2001-2016 (2021) - [j37]Jinmeng Rao, Song Gao, Mingxiao Li, Qunying Huang:
A privacy-preserving framework for location recommendation using decentralized collaborative machine learning. Trans. GIS 25(3): 1153-1175 (2021) - [j36]Xinyi Liu, Qunying Huang, Song Gao, Jizhe Xia:
Activity knowledge discovery: Detecting collective and individual activities with digital footprints and open source geographic data. Comput. Environ. Urban Syst. 85: 101551 (2021) - [j35]Sheng Hu, Song Gao, Liang Wu, Yongyang Xu, Ziwei Zhang, Haifu Cui, Xi Gong:
Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach. Comput. Environ. Urban Syst. 87: 101619 (2021) - [j34]Jacob Kruse, Yuhao Kang, Yu-Ning Liu, Fan Zhang, Song Gao:
Places for play: Understanding human perception of playability in cities using street view images and deep learning. Comput. Environ. Urban Syst. 90: 101693 (2021) - [c18]Jinmeng Rao, Song Gao, Xiaojin Zhu:
VTSV: A Privacy-Preserving Vehicle Trajectory Simulation and Visualization Platform Using Deep Reinforcement Learning. GeoAI@SIGSPATIAL 2021: 43-46 - [c17]Jinmeng Rao, Song Gao, Yuhao Kang, Qunying Huang:
LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection. GIScience (I) 2021: 12:1-12:17 - [e6]Dalton D. Lunga, Hsiuhan Lexie Yang, Song Gao, Bruno Martins, Yingjie Hu, Xueqing Deng, Shawn D. Newsam:
GeoAI@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, Beijing, China, November 2, 2021. ACM 2021, ISBN 978-1-4503-9120-7 [contents] - [i11]Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao, Bo Yan, Rui Zhu, Ling Cai, Ni Lao:
A Review of Location Encoding for GeoAI: Methods and Applications. CoRR abs/2111.04006 (2021) - 2020
- [j33]Yuhao Kang, Fan Zhang, Song Gao, Hui Lin, Yu Liu:
A review of urban physical environment sensing using street view imagery in public health studies. Ann. GIS 26(3): 261-275 (2020) - [j32]Krzysztof Janowicz, Song Gao, Grant McKenzie, Yingjie Hu, Budhendra Bhaduri:
GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond. Int. J. Geogr. Inf. Sci. 34(4): 625-636 (2020) - [j31]Somayeh Dodge, Song Gao, Martin Tomko, Robert Weibel:
Progress in computational movement analysis - towards movement data science. Int. J. Geogr. Inf. Sci. 34(12): 2395-2400 (2020) - [j30]Song Gao, Jinmeng Rao, Yuhao Kang, Yunlei Liang, Jake Kruse:
Mapping county-level mobility pattern changes in the United States in response to COVID-19. ACM SIGSPATIAL Special 12(1): 16-26 (2020) - [j29]Yunlei Liang, Song Gao, Yuxin Cai, Natasha Zhang Foutz, Lei Wu:
Calibrating the dynamic Huff model for business analysis using location big data. Trans. GIS 24(3): 681-703 (2020) - [j28]Fan Zhang, Jinyan Zu, Mingyuan Hu, Di Zhu, Yuhao Kang, Song Gao, Yi Zhang, Zhou Huang:
Uncovering inconspicuous places using social media check-ins and street view images. Comput. Environ. Urban Syst. 81: 101478 (2020) - [i10]Bin Li, Song Gao, Yunlei Liang, Yuhao Kang, Timothy Prestby, Yuqi Gao, Runmou Xiao:
Estimation of Regional Economic Development Indicator from Transportation Network Analytics. CoRR abs/2002.00566 (2020) - [i9]Yunlei Liang, Song Gao, Yuxin Cai, Natasha Zhang Foutz, Lei Wu:
Calibrating the dynamic Huff model for business analysis using location big data. CoRR abs/2003.10857 (2020) - [i8]Song Gao, Jinmeng Rao, Yuhao Kang, Yunlei Liang, Jake Kruse:
Mapping county-level mobility pattern changes in the United States in response to COVID-19. CoRR abs/2004.04544 (2020) - [i7]Song Gao, Jinmeng Rao, Yuhao Kang, Yunlei Liang, Jake Kruse, Doerte Doepfer, Ajay K. Sethi, Juan Francisco Mandujano Reyes, Jonathan Patz, Brian S. Yandell:
Mobile phone location data reveal the effect and geographic variation of social distancing on the spread of the COVID-19 epidemic. CoRR abs/2004.11430 (2020) - [i6]Jinmeng Rao, Song Gao, Yuhao Kang, Qunying Huang:
LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection. CoRR abs/2006.10521 (2020) - [i5]Yuhao Kang, Song Gao, Yunlei Liang, Mingxiao Li, Jinmeng Rao, Jake Kruse:
Multiscale Dynamic Human Mobility Flow Dataset in the U.S. during the COVID-19 Epidemic. CoRR abs/2008.12238 (2020)
2010 – 2019
- 2019
- [j27]Song Gao, Mingxiao Li, Yunlei Liang, Joseph Marks, Yuhao Kang, Moying Li:
Predicting the spatiotemporal legality of on-street parking using open data and machine learning. Ann. GIS 25(4): 299-312 (2019) - [j26]Xinyi Liu, Qunying Huang, Song Gao:
Exploring the uncertainty of activity zone detection using digital footprints with multi-scaled DBSCAN. Int. J. Geogr. Inf. Sci. 33(6): 1196-1223 (2019) - [j25]Yu Liu, Yihong Yuan, Song Gao:
Modeling the Vagueness of Areal Geographic Objects: A Categorization System. ISPRS Int. J. Geo Inf. 8(7): 306 (2019) - [j24]Emmanuel Papadakis, Song Gao, George Baryannis:
Combining Design Patterns and Topic Modeling to Discover Regions That Support Particular Functionality. ISPRS Int. J. Geo Inf. 8(9): 385 (2019) - [j23]Song Gao, Jinmeng Rao, Xinyi Liu, Yuhao Kang, Qunying Huang, Joseph App:
Exploring the effectiveness of geomasking techniques for protecting the geoprivacy of Twitter users. J. Spatial Inf. Sci. 19: 105-129 (2019) - [j22]Yingjie Hu, Song Gao, Dalton D. Lunga, Wenwen Li, Shawn D. Newsam, Budhendra Bhaduri:
GeoAI at ACM SIGSPATIAL: progress, challenges, and future directions. ACM SIGSPATIAL Special 11(2): 5-15 (2019) - [j21]Song Gao, Shawn D. Newsam, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen:
GeoAI 2019 workshop report: The 3nd ACM SIGSPATIAL International Workshop on GeoAI: AI for Geographic Knowledge Discovery: Seattle, WA, USA - November 5, 2019. ACM SIGSPATIAL Special 11(3): 23-24 (2019) - [j20]Yuhao Kang, Qingyuan Jia, Song Gao, Xiaohuan Zeng, Yueyao Wang, Stephan Angsuesser, Yu Liu, Xinyue Ye, Teng Fei:
Extracting human emotions at different places based on facial expressions and spatial clustering analysis. Trans. GIS 23(3): 450-480 (2019) - [j19]Kang Liu, Song Gao, Feng Lu:
Identifying spatial interaction patterns of vehicle movements on urban road networks by topic modelling. Comput. Environ. Urban Syst. 74: 50-61 (2019) - [j18]Mingxiao Li, Song Gao, Feng Lu, Hengcai Zhang:
Reconstruction of human movement trajectories from large-scale low-frequency mobile phone data. Comput. Environ. Urban Syst. 77 (2019) - [c16]Mingxiao Li, Song Gao, Yunlei Liang, Joseph Marks, Yuhao Kang, Moyin Li:
A Data-Driven Approach to Understanding and Predicting the Spatiotemporal Availability of Street Parking. SIGSPATIAL/GIS 2019: 536-539 - [e5]Song Gao, Shawn D. Newsam, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen:
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI@SIGSPATIAL 2019, Chicago, IL, USA, November 5, 2019. ACM 2019, ISBN 978-1-4503-6957-2 [contents] - [i4]Yuhao Kang, Qingyuan Jia, Song Gao, Xiaohuan Zeng, Yueyao Wang, Stephan Angsuesser, Yu Liu, Xinyue Ye, Teng Fei:
Extracting human emotions at different places based on facial expressions and spatial clustering analysis. CoRR abs/1905.01817 (2019) - [i3]Yuhao Kang, Song Gao, Robert E. Roth:
Transferring Multiscale Map Styles Using Generative Adversarial Networks. CoRR abs/1905.02200 (2019) - 2018
- [j17]Shaohua Wang, Song Gao, Xin Feng, Alan T. Murray, Yuan Zeng:
A context-based geoprocessing framework for optimizing meetup location of multiple moving objects along road networks. Int. J. Geogr. Inf. Sci. 32(7): 1368-1390 (2018) - [j16]Thomas Blaschke, Helena Merschdorf, Pablo Cabrera-Barona, Song Gao, Emmanuel Papadakis, Anna Kovacs-Györi:
Place versus Space: From Points, Lines and Polygons in GIS to Place-Based Representations Reflecting Language and Culture. ISPRS Int. J. Geo Inf. 7(11): 452 (2018) - [j15]Yingjie Hu, Song Gao, Shawn D. Newsam, Dalton D. Lunga:
GeoAI 2018 workshop report the 2nd ACM SIGSPATIAL international workshop on GeoAI: AI for geographic knowledge discovery seattle, WA, USA - November 6, 2018. ACM SIGSPATIAL Special 10(3): 16 (2018) - [j14]Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao:
ADCN: An anisotropic density-based clustering algorithm for discovering spatial point patterns with noise. Trans. GIS 22(1): 348-369 (2018) - [c15]Yuhao Kang, Song Gao, Yunlei Liang:
Utilizing Reverse Viewshed Analysis in Image Geo-Localization. LocalRec@SIGSPATIAL 2018: 6:1-6:5 - [c14]Yunlei Liang, Song Gao, Tianyu Wu, Sujing Wang, Yuhao Wu:
Optimizing Bus Stop Spacing Using the Simulated Annealing Algorithm with Spatial Interaction Coverage Model. IWCTS@SIGSPATIAL 2018: 53-59 - [e4]Yingjie Hu, Song Gao, Shawn D. Newsam, Dalton D. Lunga:
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAIi@SIGSPATIAL 2018, Seattle, WA, USA, November 6, 2018. ACM 2018, ISBN 978-1-4503-6036-4 [contents] - [i2]Shaohua Wang, Song Gao, Xin Feng, Alan T. Murray, Yuan Zeng:
A context-based geoprocessing framework for optimizing meetup location of multiple moving objects along road networks. CoRR abs/1812.03625 (2018) - 2017
- [j13]Song Gao, Krzysztof Janowicz, Daniel R. Montello, Yingjie Hu, Jiue-An Yang, Grant McKenzie, Yiting Ju, Li Gong, Benjamin Adams, Bo Yan:
A data-synthesis-driven method for detecting and extracting vague cognitive regions. Int. J. Geogr. Inf. Sci. 31(6): 1245-1271 (2017) - [j12]Kang Liu, Song Gao, Peiyuan Qiu, Xiliang Liu, Bo Yan, Feng Lu:
Road2Vec: Measuring Traffic Interactions in Urban Road System from Massive Travel Routes. ISPRS Int. J. Geo Inf. 6(11): 321 (2017) - [j11]Huina Mao, Yingjie Hu, Bandana Kar, Song Gao, Grant McKenzie:
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. ACM SIGSPATIAL Special 9(3): 25 (2017) - [j10]Song Gao, Krzysztof Janowicz, Helen Couclelis:
Extracting urban functional regions from points of interest and human activities on location-based social networks. Trans. GIS 21(3): 446-467 (2017) - [j9]Song Gao, Linna Li, Wenwen Li, Krzysztof Janowicz, Yue Zhang:
Constructing gazetteers from volunteered Big Geo-Data based on Hadoop. Comput. Environ. Urban Syst. 61: 172-186 (2017) - [c13]Bo Yan, Krzysztof Janowicz, Gengchen Mai, Song Gao:
From ITDL to Place2Vec: Reasoning About Place Type Similarity and Relatedness by Learning Embeddings From Augmented Spatial Contexts. SIGSPATIAL/GIS 2017: 35:1-35:10 - [e3]Song Gao, Gengen He:
1st ACM SIGSPATIAL Workshop on High-Precision Maps and Intelligent Applications for Autonomous Vehicles, AutonomousGIS@SIGSPATIAL 2017, Redondo Beach, CA, USA, November 7, 2017. ACM 2017 [contents] - [e2]Huina Mao, Yingjie Hu, Bandana Kar, Song Gao, Grant McKenzie:
Proceedings of the 1st Workshop on Artificial Intelligence and Deep Learning for Geographic Knowledge Discovery, GeoAI@SIGSPATIAL 2017, Redondo Beach, CA, USA, November 7-10, 2017. ACM 2017, ISBN 978-1-4503-5498-1 [contents] - [e1]Krzysztof Janowicz, Joshua Lieberman, Kerry Taylor, Grant McKenzie, Song Gao, Simon J. D. Cox, Ed Parsons:
Proceedings of the Workshop on Spatial Data on the Web (SDW 2016) co-located with The 9th International Conference on Geographic Information Science (GIScience 2016), Montreal, Canada, September 27-30, 2016. CEUR Workshop Proceedings 1777, CEUR-WS.org 2017 [contents] - 2016
- [j8]Blake Regalia, Grant McKenzie, Song Gao, Krzysztof Janowicz:
Crowdsensing smart ambient environments and services. Trans. GIS 20(3): 382-398 (2016) - [c12]Blake Regalia, Krzysztof Janowicz, Song Gao:
VOLT: A Provenance-Producing, Transparent SPARQL Proxy for the On-Demand Computation of Linked Data and its Application to Spatiotemporally Dependent Data. ESWC 2016: 523-538 - [c11]Song Gao, Sathya Prasad:
Employing spatial analysis in indoor positioning and tracking using wi-fi access points. ISA@SIGSPATIAL 2016: 27-34 - [c10]Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao:
ADCN: an anisotropic density-based clustering algorithm. SIGSPATIAL/GIS 2016: 58:1-58:4 - [c9]Krzysztof Janowicz, Yingjie Hu, Grant McKenzie, Song Gao, Blake Regalia, Gengchen Mai, Rui Zhu, Benjamin Adams, Kerry L. Taylor:
Moon Landing or Safari? A Study of Systematic Errors and Their Causes in Geographic Linked Data. GIScience 2016: 275-290 - [c8]Song Gao, Krzysztof Janowicz, Dingwen Zhang:
Designing a Map Legend Ontology For Searching Map Content. WOP@ISWC 2016: 119-130 - 2015
- [j7]Grant McKenzie, Krzysztof Janowicz, Song Gao, Jiue-An Yang, Yingjie Hu:
POI Pulse: A Multi-granular, Semantic Signature-Based Information Observatory for the Interactive Visualization of Big Geosocial Data. Cartogr. Int. J. Geogr. Inf. Geovisualization 50(2): 71-85 (2015) - [j6]Song Gao:
Spatio-Temporal Analytics for Exploring Human Mobility Patterns and Urban Dynamics in the Mobile Age. Spatial Cogn. Comput. 15(2): 86-114 (2015) - [j5]Yingjie Hu, Krzysztof Janowicz, Sathya Prasad, Song Gao:
Metadata Topic Harmonization and Semantic Search for Linked-Data-Driven Geoportals: A Case Study Using ArcGIS Online. Trans. GIS 19(3): 398-416 (2015) - [j4]Yingjie Hu, Song Gao, Krzysztof Janowicz, Bailang Yu, Wenwen Li, Sathya Prasad:
Extracting and understanding urban areas of interest using geotagged photos. Comput. Environ. Urban Syst. 54: 240-254 (2015) - [j3]Wenwen Li, Miaomiao Song, Bin Zhou, Kai Cao, Song Gao:
Performance improvement techniques for geospatial web services in a cyberinfrastructure environment - A case study with a disaster management portal. Comput. Environ. Urban Syst. 54: 314-325 (2015) - [j2]Grant McKenzie, Krzysztof Janowicz, Song Gao, Li Gong:
How where is when? On the regional variability and resolution of geosocial temporal signatures for points of interest. Comput. Environ. Urban Syst. 54: 336-346 (2015) - [c7]Yingjie Hu, Krzysztof Janowicz, Sathya Prasad, Song Gao:
Enabling Semantic Search and Knowledge Discovery for ArcGIS Online: A Linked-Data-Driven Approach. AGILE Conf. 2015: 107-124 - 2014
- [c6]Yingjie Hu, Grant McKenzie, Jiue-An Yang, Song Gao, Amin Abdalla, Krzysztof Janowicz:
A Linked-Data-Driven Web Portal for Learning Analytics: Data Enrichment, Interactive Visualization, and Knowledge Discovery. LAK Workshops 2014 - 2013
- [c5]Song Gao, Michael F. Goodchild:
Asking Spatial Questions to Identify GIS Functionality. COM.Geo 2013: 106-110 - [c4]Song Gao, Krzysztof Janowicz, Grant McKenzie, Linna Li:
Towards Platial Joins and Buffers in Place-Based GIS. COMP@SIGSPATIAL 2013: 42-49 - [c3]Song Gao, Yingjie Hu, Krzysztof Janowicz, Grant McKenzie:
A spatiotemporal scientometrics framework for exploring the citation impact of publications and scientists. SIGSPATIAL/GIS 2013: 204-213 - [i1]Song Gao, Linna Li, Wenwen Li, Krzysztof Janowicz, Yue Zhang:
Constructing Gazetteers from Volunteered Geographic Information Based on Hadoop. CoRR abs/1311.7676 (2013) - 2012
- [j1]Yu Liu, Chaogui Kang, Song Gao, Yu Xiao, Yuan Tian:
Understanding intra-urban trip patterns from taxi trajectory data. J. Geogr. Syst. 14(4): 463-483 (2012) - 2010
- [c2]Song Gao, Hao Yu, Yong Gao, Yinle Sun:
A design of RESTful style digital gazetteer service in cloud computing environment. Geoinformatics 2010: 1-6 - [c1]Chaogui Kang, Song Gao, Xing Lin, Yu Xiao, Yihong Yuan, Yu Liu, Xiujun Ma:
Analyzing and geo-visualizing individual human mobility patterns using mobile call records. Geoinformatics 2010: 1-7
Coauthor Index
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