About Me

My name is Yingjie Hu. I am an Assistant Professor in the Department of Geography at the University at Buffalo (UB) and the National Center for Geographic Information and Analysis (NCGIA). My major research area is in geographic information science (GIScience), and more specifically in geospatial artificial intelligence (GeoAI), spatial data science, and geographic information retrieval. I develop and apply spatial data mining, machine learning, and deep learning methods to address various geospatial problems in disaster response, public health, urban planning, and digital humanities. I lead the GeoAI Lab at UB. I also serve as an affiliate faculty for multiple interdisciplinary programs across UB campus.

I hold a PhD from the Department of Geography at the University of California, Santa Barbara (UCSB). I was a member of the Space and Time Knowledge Organization (STKO) Lab at UCSB. I was also a research engineer during summers at the Applications Prototype Lab in Esri Inc., where I participated in designing the next generation's GIS.



Research Interests

  • GIScience
  • GeoAI
  • Spatial Data Science
  • Geographic Information Retrieval
  • Geospatial Semantics
  • Geographic Knowledge Graph
  • Spatial Data Infrastructure
  • Public Participation GIS
  • Remote Sensing
  • Disaster Response
  • Public Health

Education

  • 9/2011 - 6/2016: PhD in Geography, University of California, Santa Babara, USA.
    Major Area: Cartography and GIS (Geospatial Semantics, with an additional emphasis on Cognitive Science)
  • 9/2008 - 6/2011: MS in Geography, East China Normal University, Shanghai, China.
    Major Area: Cartography and GIS (3D GIS and Web GIS)
  • 9/2004 - 6/2008: BS in Geography, East China Normal University, Shanghai, China.
    Major Area: Cartography and GIS (GIS Software Engineering)

Publications

(Author with an underscore is my student)

Peer-reviewed Journal Articles:

  1. Hu, Y. & Wang, R.Q. (2020): Understanding the removal of precise geotagging in tweets. Nature Human Behaviour, 1-3.
  2. Wilson, J., Butler, K., Gao, S., Hu, Y., Li, W., & Wright, D. (2020): A five-star guide for achieving replicability and reproducibility when working with GIS software and algorithms. Annals of the American Association of Geographers, in press.
  3. Wang, J., Hu, Y., & Joseph, K. (2020): NeuroTPR: A Neuro-net ToPonym Recognition model for extracting locations from social media messages. Transactions in GIS, 24(3), 719-735.
  4. Wang, R.Q., Hu, Y., Zhou, Z. & Yang, K., (2020): Tracking flooding phase transitions and establishing a passive hotline with AI-enabled social media data. IEEE Access Journal, 8(1), 103395-103404.
  5. Andris, C., Ayers, E., Grossner, K., Hu, Y., Hart, K., Thatcher, J., Tally Jr, R.T. & Giordano, A. (2020): Towards geospatial humanities: reflections from two panels. International Journal of Humanities and Arts Computing, 14(1-2), 6-26.
  6. Janowicz, K., Gao, S., McKenzie, G., Hu, Y. & Bhaduri, B. (2020): GeoAI: Spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond, International Journal of Geographic Information Science, 34(4), 625-636.
  7. Wang, J. & Hu, Y. (2019): Enhancing spatial and textual analysis with EUPEG: an extensible and unified platform for evaluating geoparsers. Transactions in GIS, 23(6), 1393-1419.
  8. Hu, Y., Gao, S., Lunga, D., Li, W., Newsam, S. & Bhaduri, B. (2019): GeoAI at ACM SIGSPATIAL: progress, challenges, and future directions. SIGSPATIAL Special, 11(2), 5-15.
  9. Hu, Y., Deng, C., & Zhou, Z. (2019): A semantic and sentiment analysis on online neighborhood reviews for understanding the perceptions of people toward their living environment. Annals of the American Association of Geographers, 109(4), 1052-1073.
  10. Hu, Y. (2018): Geo-text data and data-driven geospatial semantics. Geography Compass, 12(11), e12404.
  11. Hu, Y., Mao, H., & McKenzie, G. (2018): A natural language processing and geospatial clustering framework for harvesting local place names from geotagged housing advertisements. International Journal of Geographical Information Science, 33(4), 714-738.
  12. McKenzie, G., Liu, Z., Hu, Y., & Lee, M. (2018): Identifying urban neighborhood names through user-contributed online property listings, ISPRS International Journal of Geo-Information, 7(10), 388-411.
  13. Mai, G., Janowicz, K., Hu, Y., & Gao, S. (2018): ADCN: An Anisotropic Density-Based Clustering Algorithm for Discovering Spatial Point Patterns with Noise, Transactions in GIS, 22(1), 348-369.
  14. Gao, S., Janowicz, K., Montello, D., Hu, Y., Yang, J.-A., McKenzie, G., Ju, Y., Gong, L. Adams, B., & Yan, B. (2017): A data-synthesis-driven method for detecting and extracting vague cognitive regions. International Journal of Geographical Information Science, 31(6), 1245-1271.
  15. Hu, Y., Ye, X., & Shaw, S.-L. (2017): Extracting and analyzing semantic relatedness between cities using news articles. International Journal of Geographical Information Science, 31(12), 2427-2451.
  16. Hu, Y., Janowicz, K., & Couclelis, H. (2017): Prioritizing disaster mapping tasks for online volunteers based on information value theory. Geographical Analysis, 49, 175–198.
  17. Zhu, R., Hu, Y., Janowicz, K., & McKenzie, G. (2016): Spatial signatures for geographic feature types: examining gazetteer ontologies using spatial statistics. Transactions in GIS, 20(3), 333-355.
  18. Hu, Y., Janowicz, K., & Chen, Y. (2016): Task-oriented information value measurement based on space-time prisms, International Journal of Geographical Information Science, 30(6), 1228-1249.
  19. Hu, Y., Gao, S., Janowicz, K., Yu, B., Li, W., & Prasad, S. (2015): Extracting and understanding urban areas of interest using geotagged photos, Computers, Environment and Urban Systems, 54, 240-254.
  20. Hu, Y., Janowicz, K., Prasad, S., & Gao S. (2015): Metadata topic harmonization and semantic search for Linked-Data-driven geoportals: a case study using ArcGIS Online, Transactions in GIS, 19(3), 398-416.
  21. Hu, Y., Lv, Z., Wu, J., Janowicz, K., Zhao, X., & Yu, B. (2015): A multistage collaborative 3D GIS to support public participation, International Journal of Digital Earth, 8(3), 212- 234.
  22. Chen, Z., Yu, B., Hu, Y., Huang, C., Shi, K., & Wu, J. (2015): Estimating house vacancy rate in metropolitan areas using NPP-VIIRS nighttime light composite data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(5), 2188-2197.
  23. Shi, K., Yu, B., Hu, Y., Huang, C., Chen, Y., Huang, Y., Chen, Z., & Wu J. (2015): Modeling and mapping total freight traffic in China using NPP-VIIRS nighttime light composite data, GIScience & Remote Sensing, 52(3), 274-289.
  24. Yu, B., Shi, K., Hu, Y., Huang, C., Chen, Z., & Wu, J. (2015): Poverty evaluation using NPP-VIIRS nighttime light composite data at the county level in China, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(3), 1217-1229.
  25. McKenzie, G., Janowicz, K., Gao, S., Yang, J., & Hu, Y. (2014): POI Pulse: a multi-granular, semantic signature–based information observatory for the interactive visualization of big geosocial data, Cartographica: The International Journal for Geographic Information and Geovisualization, 50(2), 71-85.
  26. Shi, K., Yu, B., Huang, Y., Hu, Y., Yin, B., Chen, Z., Chen, L., & Wu, L. (2014): Evaluating the ability of NPP-VIIRS nighttime light data to estimate the gross domestic product and the electric power consumption of China at multiple scales: a comparison with DMSP-OLS data, Remote Sensing, 6 (2), 1705-1724.
  27. Chen, Z., Yu, B., Huang, Y., Hu, Y., Lin, H., & Wu, J. (2013): Validation of total ozone column derived from OMPS using ground-based spectroradiometer measurements, Remote Sensing Letters, 4 (10), 937-945.
  28. Lin, H., Yu, B., Chen, Z., Hu, Y., Huang, Y., Wu, J., Wu, B., & Ge, R. (2013): A geospatial web portal for sharing and analyzing greenhouse gas data derived from satellite remote sensing images, Frontiers of Earth Science, 7 (3), 295-309.
  29. Yu, B., Liu, H., Wu, J., Hu, Y., & Zhang, L. (2010): Automated derivation of urban building density information using airborne LiDAR data and object-based method, Landscape and Urban Planning, 98 (3-4), 210-219.
  30. Hu, Y. & Wu, J. (2010): Design of enterprise three-dimensional GIS based on skyline and ExtJS, Science of Surveying and Mapping, 35 (6), 247-249. (in Chinese)
  31. Li, J., Wu, J., & Hu, Y. (2009): Development of three-dimensional urban scanning system using TerraExplorer Pro, Computer Technology and Development, 6, 66-68. (in Chinese)

Peer-reviewed Book Chapters:

  1. Hu, Y. & Adams, B. (2020): Harvesting big geospatial data from natural language texts. In M. Werner and Y.-Y. Chiang (Eds), Handbook of Big Geospatial Data, Springer.
  2. Yan, B., Mai, G., Hu, Y., & Janowicz, K. (2020): Harnessing heterogeneous big geospatial data. In M. Werner and Y.-Y. Chiang (Eds), Handbook of Big Geospatial Data, Springer.
  3. Gao, S., Li, M., Rao, J., Mai, G., Prestby, T., Marks, J., & Hu, Y. (2020): Automatic urban road network extraction from massive GPS trajectories of taxis. In M. Werner and Y.-Y. Chiang (Eds), Handbook of Big Geospatial Data, Springer.
  4. Hu, Y., Li, W., Wright, D., Aydin, O., Wilson, D., Maher, O, & Raad, M. (2019): Artificial intelligence approaches. In J. P. Wilson (Eds), The Geographic Information Science & Technology Body of Knowledge, University Consortium for Geographic Information Science.
  5. Hu, Y. (2018): Geospatial semantics. In B. Huang, T. J. Cova, & M. Tsou et al. (Eds), Comprehensive Geographic Information Systems, also included in Elsevier’s Reference Module in Earth Systems and Environmental Sciences, 1, 80-94, Elsevier.
  6. Janowicz, K., McKenzie, G., Hu, Y., Zhu, R., & Gao, S. (2018): Using semantic signatures for social sensing in urban environments, In C. Antoniou, L. Dimitriou, & F. Pereira (Eds), Mobility Patterns, Big Data and Transport Analytics: Tools and Applications for Modeling, 31-54, Elsevier.
  7. Gao, S., Chen, H., Luo, W., Hu, Y., & Ye, X. (2018): Spatio-temporal-network visualization for exploring human movements and interactions in physical and virtual spaces. In S.L. Shaw & D. Sui (Eds), Human Dynamics Research in Smart and Connected Communities, 67-80, Springer.
  8. Hu, Y. & Li, W. (2017): Spatial data infrastructures. In J. P. Wilson (Eds), The Geographic Information Science & Technology Body of Knowledge, University Consortium for Geographic Information Science.
  9. Hu, Y. & Janowicz, K. (2016): The semantic trajectory pattern, in P. Hitzler, A. Gangemi, K. Janowicz, A. Krisnadhi, & V. Presutti (Eds), Ontology Engineering with Ontology Design Patterns: Foundations and Applications, IOS Press 327-333.
  10. Hu, Y. & Janowicz, K. (2016): Enriching top-down geo-ontologies using bottom-up knowledge mined from Linked Data, in H. Onsrud & W. Kuhn (Eds), Advancing Geographic Information Science: The Past and Next Twenty Years, GSDI Association Press, 183-198.

Peer-reviewed Conference Articles (Full Papers Only):

  1. Hu, Y. & Wang, J. (2020): How do people describe locations during a natural disaster: an analysis of tweets from Hurricane Harvey, In: Proceedings of the 11th International Conference on Geographic Information Science (GIScience 2021), Sep. 27-30, Poznan, Poland.
  2. Wang, J. & Hu, Y. (2019): Are we there yet? Evaluating state-of-the-art neural network based geoparsers using EUPEG as a benchmarking platform, In: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Geospatial Humanities, Nov. 5, Chicago, USA.
  3. Hu, Y. & Janowicz, K. (2018): An empirical study on the names of points of interest and their changes with geographic distance, In: Proceedings of the 10th International Conference on Geographic Information Science (GIScience 2018), Aug. 29-31, Melbourne, Australia. [Best Paper Award]
  4. Ju, Y., Adams, B., Janowicz, K., Hu, Y., Yan, B., & McKenzie, G. (2016): Things and strings: improving place name disambiguation from short texts by combining entity co-occurrence with topic modeling, In: Proceedings of the 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016), Nov. 19-23, Bologna, Italy.
  5. Janowicz, K., Hu, Y., McKenzie, G., Gao, S., Regalia, B., Mai, G., Zhu, R., Adams, B., & Taylor, K. (2016): Moon landing or safari? a study of systematic errors and their causes in geographic Linked Data, In: Proceedings of the 9th International Conference on Geographic Information Science (GIScience 2016), Sep. 27-30, Montreal, Canada.
  6. Mai, G., Janowicz, K., Hu, Y., & McKenzie, G. (2016): A Linked Data Driven Visual Interface for the Multi-perspective Exploration of Data Across Repositories, In: Proceedings of 2nd International Workshop on Visualization and Interaction for Ontologies and Linked Data, Oct. 17, Kobe, Japan.
  7. Krisnadhi, A., Hu, Y., Janowicz, K., Hitzler, P., Arko, R., Carbotte, S., Chandler, C., Cheatham, M., Fils, D., Finin, T., Ji, P., Jones, M., Karima, N., Lehnert, K., Mickle, A., Narock, T., O'Brien, M., Raymond, L., Shepherd, A., Schildhauer, M., & Wiebe, P. (2015): The GeoLink modular oceanography ontology, In: Proceedings of the 14th International Semantic Web Conference, Oct. 11-15, 2015, Bethlehem, Pennsylvania, USA.
  8. Krisnadhi, A., Arko, R., Carbotte, S., Chandler, C., Cheatham, M., Hitzler, P., Hu, Y., Janowicz, K., Ji, P., Karima, N., Shepherd, A., & Wiebe, P. (2015): R2R+BCO-DMO - linked oceanographic datasets, In: Proceedings of Diversity++ Workshop at the 14th International Semantic Web Conference, Oct. 11-15, 2015, Bethlehem, Pennsylvania, USA.
  9. Hu, Y., Janowicz, K., Prasad, S., & Gao, S. (2015): Enabling semantic search and knowledge discovery for ArcGIS Online: a Linked-Data-driven approach, In Proceedings of 18th AGILE International Conference on Geographic Information Science, Jun. 9-12, Lisbon, Portugal .
  10. Hu, Y., Janowicz, K., & Prasad, S. (2014): Improving Wikipedia-based place name disambiguation in short texts using structured data from DBpedia, In Proceedings of 8th ACM SIGSPATIAL Workshop on Geographic Information Retrieval, Nov. 4, 2014, Dallas, TX, USA .
  11. Hu, Y., McKenzie, G., Yang, J., Gao, S., Abdalla, A., & Janowicz, K. (2014): A Linked-Data-driven Web portal for Learning analytics: data enrichment, interactive visualization, and knowledge discovery, in Proceedings of the Workshops at the Learning Analytics and Knowledge 2014 Conference, Mar. 24-28, 2014, Indianapolis, IN, USA. [2nd Prize Award]
  12. Gao, S., Hu, Y., Janowicz, K., McKenzie, G. (2013): A spatiotemporal scientometrics framework for exploring the citation impact of publications and scientists, In Proceedings of the 21th International Conference on Advances in Geographic Information Systems, Nov. 5-8, 2013, Orlando, FL, USA.
  13. Hu, Y., Janowicz, K., McKenzie, G., Sengupta, K., & Hitzler, P. (2013): A Linked-Data-driven and semantically-enabled journal portal for scientometrics, In Proceedings of the 12th International Semantic Web Conference, Oct. 21-25, 2013, Sydney, Australia, pp. 114-129.
  14. Hu, Y., Janowicz, K., Carral, D., Scheider, S., Kuhn, W., Berg-Cross, G., Hitzler, P., Dean, M., & Kolas, D. (2013): A geo-ontology design pattern for semantic trajectories, In Proceedings of the 2013 Conference On Spatial Information Theory, Sept. 2 - 6, 2013, Scarborough, North Yorkshire, UK.
  15. Lin, H., Hu, L., Hu, Y., Wu, J., & Yu, B. (2011): An integrated framework for retrieving and analyzing geographic information in Web pages, In Proceedings of the 19th International Conference on Geoinformatics, Jun. 24-26, 2011, Shanghai, China.
  16. Hu, Y., Wu, J., Zhong, H., Lv, Z., & Yu, B. (2010): An approach for integrating geospatial processing services into three-dimensional GIS, In Proceedings of the International Conference on Web Information Systems and Mining, Oct. 23-24, 2010, Sanya, Hainan, China, pp 154-161.
  17. Lv, Z., Hu, Y., Zhong, H., Wu, J., Li, B., Zhao, H. (2010): Parallel k-means clustering of remote sensing images based on MapReduce, In Proceedings of the International Conference on Web Information Systems and Mining, Oct. 23-24, 2010, Sanya, Hainan, China, pp 162-170.
  18. Zhong, H., Wu, J., Li, L., Lv, Z., Hu, Y., & Yu, B. (2010): Mobile and wireless GIS based upon independent development, In Proceedings of 2010 International Conference on Electrical and Control Engineering, Jun. 25-27, 2010, Wuhan, Hubei, China.
  19. Hu, Y., Wu, J., Lv, Z., Zhong, H., & Yu, B. (2010): A method for representing thematic data in three-dimensional GIS, In Proceedings of the 18th International Conference on Geoinformatics, Jun. 18-21, 2010, Beijing, China.
  20. Lv, Z.,Hu, Y., Zhong, H., Yu, B., Wu, J., Li, B., & Zhao, H (2010): Spatial indexing of global geographical data with HTM, In Proceedings of the 18th International Conference on Geoinformatics, Jun. 18-21, 2010, Beijing, China.
  21. Zhong, H., Li, P., Hu, Y., Lv, Z., Yin, J., Yu, B., & Wu, J. (2010): A solution for the data collection in the field survey based on mobile and wireless GIS, In Proceedings of the 18th International Conference on Geoinformatics, Jun. 18-21, 2010, Beijing, China.
  22. Yin, J., Xu, S., Wang, J., Zhong, H., Hu, Y., Yin, Z., Wang, K., & Zhang, X. (2010): Vulnerability assessment of combined impacts of sea level rise and coastal flooding for China's coastal region using remote sensing and GIS, In Proceedings of the 18th International Conference on Geoinformatics, Jun. 18-21, 2010, Beijing, China.

Peer-reviewed Short Papers or Extended Abstracts:

  1. Hu, Y., (2019): Starting with Data: Advancing Spatial Data Science by Building and Sharing High-quality Datasets, in Proceedings of the Spatial Data Science Symposium, Dec. 8-11, 2019, Santa Barbara, USA.
  2. Hu, Y., (2019): Building benchmarking frameworks for supporting replicability and reproducibility: spatial and textual analysis as an example, in Proceedings of the Workshop on Replicability and Reproducibility in Geospatial Research, Feb. 11-12, 2019, Tempe, USA.
  3. Hu, Y., (2018): EUPEG: Towards an Extensible and Unified Platform for Evaluating Geoparsers, in Proceedings of the 12th Workshop on Geographic Information Retrieval, Nov. 6-9, 2018, Seattle, USA.
  4. McKenzie, G. & Hu, Y. (2017): The “Nearby” exaggeration in real estate, in Proceedings of the Workshop on Cognitive Scales of Spatial Information, Sep. 4, 2017, L'Aquila, Italy.
  5. Hu, Y., Mao, H., & McKenzie, G. (2017): An NLP and geospatial workflow for harvesting local place names from geotagged social Web, in Proceedings of the International Symposium on Location-Based Social Media and Tracking Data, July 1-2, 2017, Washington DC, USA.
  6. Mai, G., Janowicz, K., Hu, Y., Gao, S. (2016): ADCN: an Anisotropic Density-based Clustering Algorithm, in Proceedings of the 24th International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL), Oct. 31-Nov 3, Burlingame, California, USA.
  7. Zhu, R., Janowicz, K., Yan, B., & Hu, Y. (2016): Which Kobani? A case study on the role of spatial statistics and semantics for coreference resolution across gazetteers, in: the Short Paper Proceedings of GIScience 2016, Sep. 26-30, Montreal, Canada.
  8. Hu, Y. & Janowicz, K.(2016): Understanding the mapping sequence of online volunteers in disaster response, in: the Short Paper Proceedings of GIScience 2016, Sep. 26-30, Montreal, Canada.
  9. Yan, B., Janowicz, K., & Hu, Y. (2016): A data-driven approach for detecting and quantifying modeling biases in geo-ontologies using a discrepancy index, in: the Short Paper Proceedings of GIScience 2016, Sep. 26-30, Montreal, Canada.
  10. Hu, Y. & Janowicz, K. (2015): Prioritizing road network connectivity information for disaster response, In: Proceedings of the ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management, Nov. 3-6, Seattle, Washington, USA.
  11. Hu, Y., McKenzie, G., Janowicz, K., & Gao, S. (2015): Mining human-place interaction patterns from location-based social networks to enrich place categorization systems, in: Proceedings of the Workshop on Cognitive Engineering for Spatial Information Processes, Oct. 12, 2015, Santa Fe, New Mexico, USA.
  12. Hu, Y., Janowicz, K., Hitzler, P., & Sengupta, K. (2015): The Semantic Web Journal as Linked Data, In: Proceedings of 2015 International Semantic Web Conference (demos and posters track), Oct. 11-15, 2015, Bethlehem, Pennsylvania, USA.
  13. Janowicz, K., Krisnadhi, A., Hu, Y., Suh, S., Weidema, B., Rivela, B., Tivander, J., Meyer, D., Berg-Cross, G., Hitzler, P., Ingwersen, W., Kuczenski, B., Vardeman, C., Ju, Y., & Cheatham, M. (2015): A minimal ontology pattern for life cycle assessment data, In: Proceedings of the 6th Workshop on Ontology and Semantic Web Patterns at 2015 International Semantic Web Conference, Oct. 11-15, 2015, Bethlehem, Pennsylvania, USA.
  14. Yan, B., Hu, Y., Kuczenski, B., Janowicz, K., Ballatore, A., Krisnadhi, A., Ju, Y., Hitzler, P., Suh, S., & Ingwersen, W. (2015): An ontology for specifying spatiotemporal scopes in life cycle assessment, In: Proceedings of the Diversity++ Workshop at 2015 International Semantic Web Conference, Oct. 11-15, 2015, Bethlehem, Pennsylvania, USA.
  15. Gao, S., Yang, J., Yan, B., Hu, Y., Janowicz, K., & McKenzie, G. (2014): Detecting origin-destination mobility flows from geotagged Tweets in Greater Los Angeles Area, In Proceedings of the Eighth International Conference on Geographic Information Science, Sep. 24-26, 2014, Vienna, Austria.
  16. Gao, S., Yang, J., Janowicz, K., Hu, Y.,, Yan B., & McKenzie, G. (2014): TrajAnalyst: matching data to trajectory analysis modules via a conceptual framework, In Proceedings of Workshop on Analysis of Movement Data, Sep. 23, 2014, Vienna, Austria.
  17. Abdalla, A., Hu, Y., Carral, D., Li, N., & Janowicz, K. (2014): An ontology design pattern for activity reasoning, In Proceedings of 5th Workshop on Ontology and Semantic Web Patterns, Oct. 18, 2014, Riva del Garda, Trentino, Italy.
  18. McKenzie, G., Janowicz, K., Hu, Y., Sengupta, K., & Hitzler, P. (2013): Linked scientometrics: designing interactive scientometrics with Linked Data and Semantic Web reasoning, In Proceedings of the 12th International Semantic Web Conference, Oct. 21-25, 2013, Sydney, Australia.
  19. Hu, Y. & Janowicz, K. (2012): Improving personal information management by integrating activities in the physical world with the semantic desktop, In Proceedings of the 20th International Conference on Advances in Geographic Information Systems, Nov. 6-9, 2012, Redondo Beach, California, USA, pp. 578-581.
  20. Hu, Y., Li, W., Janowicz, K., Deutsch, K., McKenzie, G., & Goulias, K. (2012): Using spatial-temporal signatures to infer human activities from personal trajectories on location-enabled mobile devices, In Proceedings of the Seventh International Conference on Geographic Information Science, Sep.19-21, 2012, Columbus, Ohio, USA.
  21. Deutsch, K., McKenzie, G., Janowicz, K., Li, W., Hu, Y., & Goulias, K. (2012): Examining the use of smartphones for travel behavior data collection, In Proceedings of the 13th International Conference on Travel Behavior Research, Jul. 15-20, 2012, Toronto, Canada.

Professional Presentations:

  1. Oral presentation (2020): Advancing spatial and textual analysis with GeoAI. Invited Talk for UCSB Spatial Tech Meeting, October 21, 2020, Online.
  2. Oral presentation (2020): NeuroTPR: A Neuro-net ToPonym Recognition model for extracting locations from social media messages. 2020 UCGIS Virtual Symposium, June 1, 2020, Online.
  3. Oral presentation (2019): Progress and trends in geographic information systems and science. Invited public lecture in the Singapore Program of the University at Buffalo, May 18, 2019, Singapore, Singapore.
  4. Oral presentation (2019): Building benchmarking frameworks for supporting R&R: spatial and textual analysis as an example. in: Workshop on Replicability and Reproducibility in Geospatial Research, February 11-12, 2019, Tempe, AZ, USA.
  5. Oral presentation (2019): Exploring geo-text data: place names, place relations, and place sentiments. Invited Webinar of the University Consortium for Geographic Information Science (UCGIS), January 29, 2019, online, USA.
  6. Oral presentation (2018): An empirical study on the names of points of interest and their changes with geographic distance. in the 10th International Conference on Geographic Information Science, August 28-31, 2018, Melbourne, Australia.
  7. Oral presentation (2018): An empirical study on POI names and their changes with geographic distance. in Annual Meeting of American Association of Geographers, April 9-14, 2018, New Orleans, USA.
  8. Oral presentation (2017): Building local place gazetteers using geotagged web data. in The 25th International Conference on Geoinformatics, August 2-4, 2017, Buffalo, USA.
  9. Oral presentation (2017): An NLP and geospatial workflow for harvesting local place names from geotagged social Web, in International Symposium on Location-Based Social Media and Tracking Data, July 1-2, 2017, Washington DC, USA.
  10. Oral presentation (2017): Prioritizing online mapping tasks for disaster response, in Annual Conference of Tennessee Geographic Information Council, April 26-27, 2017, Knoxville, USA.
  11. Oral presentation (2017): Extracting and analyzing semantic relatedness between cities using news articles, in Annual Meeting of American Association of Geographers, Apr. 5-9, 2017, Boston, USA.
  12. Oral presentation (2016): Understanding the mapping sequence of online volunteers in disaster response, in the 9th International Conference on Geographic Information Science, Sep. 26-30, 2016, Montreal, Canada.
  13. Oral presentation (2016): Task-oriented information value measurement based on space-time prisms, in Annual Meeting of American Association of Geographers, Mar 29-Apr 2, 2016, San Francisco, California, USA.
  14. Oral presentation (2015): Metadata topic harmonization and semantic search for Linked-Data-driven geoportals: a case study using ArcGIS Online, in 2015 Esri User Conference: GIScience Research Session, Jul 20-24, 2015, San Diego, California, USA.
  15. Oral presentation (2015): Enriching top-down geo-ontologies using bottom-up knowledge mined from Linked Open Data, in Advancing Geographic Information Science: The Past and Next Twenty Years, Jun 29-Jul 3, 2015, Bar Harbor, Maine, USA.
  16. Oral presentation (2015): Enabling semantic search and knowledge discovery for ArcGIS Online: a Linked-Data-driven approach, in the 18th AGILE International Conference on Geographic Information Science, June 9-12, 2015, Lisbon, Portugal.
  17. Poster presentation (2015): Metadata topic harmonization and semantic search for Linked-Data-driven geoportals: a case study using ArcGIS Online, in NSF EarthCube All-Hands Meeting, May 27-29, 2015, Arlington, Virginia, USA.
  18. Oral presentation (2015): Extracting and understanding urban areas of interest using geotagged photos, in Annual Meeting of American Association of Geographers, April 21-25, 2015, Chicago, Illinoise, USA.
  19. Oral presentation (2014): Improving Wikipedia-based place name disambiguation in short texts using structured data from DBpedia, in the 8th ACM SIGSPATIAL Workshop on Geographic Information Retrieval, Nov. 4, 2014, Dallas, Texas, USA.
  20. Oral presentation (2014): A Linked-Data-driven Web portal for Learning analytics: data enrichment, interactive visualization, and knowledge discovery, in the LAK Challenge at the Learning Analytics and Knowledge Conference, Mar. 24-28, 2014, Indianapolis, Indiana, USA.
  21. Oral presentation (2013): Citation Map: visualizing the spread of scientific ideas through space and time, in 2013 Robert Raskin mashup competition at the annual meeting of AAG, April 9-13, 2013, Los Angeles, California, USA.
  22. Oral presentation (2013): A geo-ontology design pattern for semantic trajectories, in the 2013 Conference On Spatial Information Theory, Sept. 2 - 6, 2013, Scarborough, North Yorkshire, UK.
  23. Demo presentation (2012): Improving personal information management by integrating activities in the physical world with the semantic desktop, in the 20th ACM SIGSPATIAL International Conference, Nov. 6-9, 2012, Redondo Beach, California, USA.
  24. Oral presentation (2012): Using spatial-temporal signatures to infer human activities from personal trajectories on location-enabled mobile devices, in the 7th International Conference on Geographic Information Science, Sep.19-21, 2012, Columbus, Ohio, USA.
  25. Poster presentation (2010): An approach for integrating geospatial processing services into three-dimensional GIS, in the International Conference on Web Information Systems and Mining, Oct. 23-24, 2010, Sanya, Hainan, China.
  26. Oral presentation (2010): A method for representing thematic data in three-dimensional GIS, in the 18th International Conference on Geoinformatics, Jun. 18-21, 2010, Beijing, China.
  27. Poster presentation (2009): Design of enterprise three-dimensional GIS based on skyline and ExtJS, in the 6th International Symposium on Digital Earth, Sept. 8-12, 2009, Beijing, China.

Projects

(For latest projects, please check our group website GeoAI@UB)

 

Harvesting Local Place Names

Related paper

Local place names are frequently used by residents living in a geographic region. Such place names may not be recorded in existing gazetteers. In this work, we propose a computational framework for harvesting local place names from geotagged housing posts. We make use of those posts on local-oriented websites, such as Craigslist, where local place names are often mentioned. The proposed framework consists of two stages: natural language processing (NLP) and multi-scale geospatial clustering.

Code: https://github.com/YingjieHu/LocalPlaceName

Place Names and Spatial Locations

Related paper

In this project, we conduct an empirical study based on 112,071 POIs in seven US metropolitan areas extracted from an open Yelp dataset. We propose to adopt term frequency and inverse document frequency in geographic contexts to identify local terms used in POI names and to analyze their usages across different POI types. Our results show an uneven usage of local terms across POI types. We also examine the decaying effect of POI name similarity with the increase of distance among POIs.

Code: https://github.com/YingjieHu/POI_Name

Semantic Relatedness between Cities

Related paper

This project develops a topic modeling based workflow for extracting semantic relatedness between cities from news articles. News articles contain a rich amount of information about cities and their relations. The developed workflow makes use of city co-occurrences in news articles, and employs a topic model, LLDA, to analyze the full texts of news articles and to extract city relatedness. The extracted semantic relatedness can contribute to applications such as urban planning and GIR.

Code: https://github.com/YingjieHu/CityRelatednessViaNews

Information Value for Disaster Response

Related paper

In recent years, online volunteers have played important roles in disaster responses by mapping the disaster-affected areas based on remote sensing images. Typically, the disaster-affected area is divided into a number of cells using a grid-based tessellation. Online volunteers can then select a grid cell to start the mapping task. While such an approach coordinates the efforts from many volunteers, it does not differentiate the priorities of the different cells. In this research, we propose an analytical framework based on information value theory which can prioritize the grid cells based on the value of road network information contained in these cells.

Information Value for Space-Time Tasks

Related paper

While we have access to an increasing amount of information, the newly invented mobile devices, such as smart watches, are often equipped with only small screens. The limited display space restricts the number of information items that can be displayed at each time. Which information should be displayed first? Should it be the weather information, information about traffic conjestions, flight arrival information, meeting schedule, or some others? This work proposes an analytical framework which integrates information value theory with space-time prisms, and quantifies the value of information based on its spatiotemporal impact on the tasks of an individual.

Semantically-Enabled Data for NSF GeoLink

Related paper

GeoLink is a building block project in the NSF EarthCube program. It leverages the Semantic Web technologies to harmonize and link separate data repositories in geoscience. Seven data repositories (e.g., BCO-DMO and DataONE) have joined this project so far. Modular ontologies have been developed to link the heterogenous data, and a user interface has been designed which allows users to explore the data as tabular forms, maps, and graphs.

URL: http://demo.geolink.org/

Semantic Topics for Metadata Enrichment

Related paper

This project harmonizes the heterogenous metadata in a geoportal based on the ISO 19115 standard. A natural language processing model, Labeled Latent Dirichlet Allocation (LLDA), has been trained based on the metadata from data.gov. The trained LLDA model is then applied to the user-contributed ArcGIS Online data to harmonize the heterogenous metadata. Multiples tabs have been designed which can display the results in each topic.

URL: http://stko-exp.geog.ucsb.edu/linkedportal/

Place Name Disambiguation

Related paper

This project aims to understand the semantics of place names and improve the accuracy of place name disambiguation in short texts. Wikipedia is a data source that has been frequently employed as ground truth descriptions. However, Wikipedia articles do not emphasize the terms which represent important entities. We combine the entities from DBpedia (the semantic web version of Wikipedia) and designed a co-occurance model to improve the disambiguation result.

Code: https://github.com/YingjieHu/Place-Disambiguation

Urban Areas of Interest

Related paper

This project uses geo-tagged Flickr photo data to discover the areas of interest (AOI) within a city. Flickr data from six different cities in the past 10 years have been used for this study. Clusters have been identified at locations where most people took photos. We detect clusters using DBSCAN, and construct polygons using the chi-shape algorithm. In order to understand the semantics of the extracted AOIs, we also extract the distinctive tags and representative photos within these areas.

URL: http://stko-exp.geog.ucsb.edu/urbanAOIs/index.html

Semantic Search for ArcGIS Online

Related paper

We enable semantic search for maps by expanding an input query with related thematic concepts and geographic terms. Related thematic concepts are identified using Latent Semantic Analysis (LSA) and WordNet. Related geographic entities are found using a gazetteer Geonames.

URL: http://stko-exp.geog.ucsb.edu/linkedarcgis/
Video: http://www.youtube.com/watch?v=38ssyXaP7v0

Semantic Web Portal for Web@25

Blog article

This project celebrates the 25th birthday of the Web by building an online portal using Semantic Web technologies. We use the publication data from the WWW conference, and develop three major modules for this portal. The timeline module shows the major topics in the past 10 years. The geographic map module visualizes the spatial distribution of these topics. The self-organization map shows the hierachical relations between research topics and visualizes them using a map metaphor.

URL: http://stko-exp.geog.ucsb.edu/web25portal/

Point of Interest (POI) Pulse

Related paper

This project reclassifies the categories of Point of Interest (POIs) from Foursquare using support vector machine. One POI is classified into multiple categories based on its spatial, temporal, and thematic characteristics. We visualize a large amount of POI data using HTML5 and javascript, and discovered a tipping point to switch between vector and raster representations. This project also enables one to explore the dynamics or pulse of a city by visualing real-time user activities on Foursquare.

URL: http://stko-poi.geog.ucsb.edu/prod/lapulse/

Scientometrics Portal for Learning Analytics

Related paper

This is a project developed for the Learning Analytics and Knowledge (LAK) Challenge. We make use of the LAK community's publication data, and visualize the geographic collaboration patterns, coauthor networks, and citation distributions of academic papers. We have also designed a tool for reviewer recommendation. We won the Second Prize Award in this LAK Challenge.

URL: http://stko-exp.geog.ucsb.edu/lak/
Video: http://www.youtube.com/watch?v=g_Bsm_fEJkA

Semantic Web Journal Portal

Related paper

A project for the Semantic Web Journal to improve the analysis of the journal’s publication data, including the number of publications, citations for each author. Analysis results are then visualized using techniques such as D3.

URL: http://semantic-web-journal.com/SWJPortal/
Video: http://www.youtube.com/watch?v=LPWVfLaC6Co

Citation Map

Related paper

A project for the AAG Mashup Competition that visualizes the citation data on a global scale map. This application locates the first author of a paper, and then searches all researchers who have cited this paper in their work. Finally, the locations of these researchers are visualized on a map. We won the Finalist Award.

URL: http://stko-work.geog.ucsb.edu:8080/map/
Video: http://www.youtube.com/watch?v=eC309dGdJM0

Space-Time Contexts for File Management

Related paper

This project proposes to augment file management systems with space-time contexts, so that locations and time are attached to digital files that we use everyday on laptops, smartphones, and other mobile devices. Such addtional indices allow users to search files based on not only traditional folder hierachies but also the space-time contexts in which files have been used. For example, finding a document you opened in Washington DC during a conference last month.

Videos: https://www.youtube.com/watch?v=qFhPhj5gObI

3D GIS for Public Participation

Related paper

This system supports the collaborations of participants in different stages of decision making in contexts such as urban planning. Participants can not only provide comments and feedbacks on existing plans, but also engage in intensive discussions and real-time design. This system integrates the concept of GeoDesign and helps to answer the "what if" questions in many applications.

Code: https://github.com/YingjieHu/PPGIS

3D GIS for Agriculture Management

A 3D GI system developed for Chongming, Shanghai, China. This system has been designed to provide local farmers with easy access to agricultural information and help them better manage their lands and crops.

Video: https://www.youtube.com/watch?v=LifF-0Rghtg

3D GIS for Pollution Mornitoring

A 3D GI system developed for pollution mornitoring in Shanghai, China. This system was designed for Shanghai Environmental Protection Agency (EPA) to help manage the information about electricity and sewage plants. Alerts will be issued when real-time pollution exceeds a threshold level.

Video: https://www.youtube.com/watch?v=wiuJLIOrXqI

3D GIS for Greenspace Planning

A 3D GI system developed for planning greenspace in Shanghai, China. This system allows users to plan the greenspace in different ways by choosing grass types and tree species. It then visualizes the possible results to the users.

Video: https://www.youtube.com/watch?v=ATphYE3NPQQ

Teaching

Courses Taught at UB:

  • GEO 281: Web-based Geographic Information Systems
  • GEO 481/506: Geographic Information Systems
  • GEO 503F: GIS and Machine Learning
  • GEO 503S: AI for Geospatial Applications

Courses Taught at UTK:

  • GEOG 411: Intermediate Geographic Information Science
  • GEOG 414: Geodatabase and Spatial Data Management
  • GEOG 509: Geospatial Semantics

Courses Taught at UCSB:

  • GEOG 12: Maps and Spatial Reasoning
  • GEOG 176A: Introduction to Geographic Information Science
  • GEOG 176B: Technical Issues in GIS
  • GEOG 176C: GIS Project Management

Services

Peer Reviewer for Academic Journals

Committee Services

Memberships of Professional Associations

Awards

  • Waldo-Tobler GIScience Young Researcher Award, by Austrian Academy of Sciences, 2020
  • Best GIScience Full Paper Award, by GIScience Conference Organization Committee, 2018
  • Professional and Scholarly Development Award, by the University of Tennessee Knoxville, 2017
  • Doctoral Scholarship, by the Cartography and Geographic Information Society, 2016
  • Excellence in Research Award, by UCSB Geography, 2016
  • National Award for Outstanding Chinese PhD Students Studying Abroad, by China Scholarship Council, 2016
  • Graduate Scholarship, by Chinese-American Engineers and Scientists Association, 2016
  • Graduate Dissertation Fellowship, by UCSB Graduate Division, 2015
  • Dissertation Fellowship, by UCSB Affiliates, 2015
  • Early Career Scholar Travel Grant, by NSF EarthCube Program, 2015
  • Graduate Travel Grant, by UCSB Graduate Division, 2015
  • International Geographic Information Fund Award, by the Association of American Geographers (AAG), 2015
  • Graduate Travel Grant, by UCSB Graduate Student Association, 2015
  • 2nd Prize for Learning Analytics and Knowledge (LAK) Data Challenge, by the LAK Challenge Organization Committee, 2014
  • Jack Dangermond Graduate Fellowship, by UCSB Geography, 2013
  • Finalist Prize for AAG Robert Raskin Mashup Mapping Competition, by the Competition Organization Committee, 2013
  • Jack Dangermond Travel Award, by UCSB Geography, 2012, 2013, 2014, 2015
  • NSF Travel Award for the 20th ACM SIGSPATIAL conference, by the Conference Organization Committee, 2012
  • NSF Travel Award for the 6th RR Conference, by the Conference Organization Committee, 2012
  • Doctoral Scholars Fellowship, by UCSB Geography, 2011
  • Excellent Master Thesis, by East China Normal University (ECNU) Geography, 2011
  • Graduate Fellowship, by ECNU Geography, 2010, 2011
  • Excellent Graduate, by Shanghai Municipal Education Commission, 2008
  • Excellent Bachelor Thesis, by ECNU Geography, 2008
  • Undergraduate Fellowship, by ECNU Geography, 2005, 2007

Media Coverage

Contact

Yingjie Hu

Email: yhu42 at buffalo dot edu
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See also:

Yingjie Hu Yingjie Hu Assistant Professor Yingjie Hu is an Assistant Professor of Geography.