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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
- 2023
[j56]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)- [j55]Song Gao, Yingjie Hu, Wenwen Li, Lei Zou:
Special issue on geospatial artificial intelligence. GeoInformatica 27(2): 133-136 (2023) - [j54]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) - [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) - [c26]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 - [c25]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 - [c24]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 - [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] - [i24]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) - [i23]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) - [i22]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) - [i21]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) - [i20]Jinmeng Rao, Song Gao, Gengchen Mai, Krzysztof Janowicz:
Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models. CoRR abs/2309.17319 (2023) - [i19]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) - [i18]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) - 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]