Publications

You can also find my articles on my Google Scholar profile.

Peer-reviewed Journal Papers

• Zhu, R., Janowicz, K., Cai, L., & Mai, G. (2022). Reasoning over higher-order qualitative spatial relations via spatially explicit neural networks. International Journal of Geographical Information Science, 1-32.
• Janowicz, K., Hitzler, P., Li, W., Rehberger, D., Schildhauer, M., Zhu, R., Shimizu, C., Fisher, C.K., Cai, L., Mai, G., Zalewski, J., Zhou, L., Stephen, S., Gonzalez, S., Mecum, B., Lopez-Carr A., Schroeder, A., Smith, D., Wright, D., Wang, S., Tian, Y., Liu, Z., Shi, M., D’Onofrio, A., Gu, Z., Currier, K., (2022). Know, Know Where, KnowWhereGraph: A densely connected, cross‐domain knowledge graph and geo‐enrichment service stack for applications in environmental intelligence. AI Magazine, 43(1), pp.30-39.
• Mai, G., Janowicz, K., Hu, Y., Gao, S., Yan, B., Zhu, R., Cai, L., and Lao, N. (2021). A review of location encoding for GeoAI: Methods and applications. International Journal of Geographic Information Science, 1-35.
• Cai, L., Janowicz, K., Mai, G., Yan, B., and Zhu, R. (2020). Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting. Transactions in GIS, 24(3), 736-755.
• Mai, G., Janowicz, K., Cai, L., Zhu, R., Regalia B., Yan B., and Shi M. (2020). SE-KGE: A location-aware knowledge graph embedding model for geographic question answering and spatial semantic lifting. Transactions in GIS, 24(3), 623-655.
• Li, Z., Zhang, X., Zhu, R., Zhang, Z., and Weng Z. (2019). Integrating data-to-data correlation into inverse distance weighting. Computational Geosciences, 24, 203-216.
• Zhu, R., Janowicz, K., and Mai, G. (2019). Making direction a first-class citizen of tobler’s first law of geography. Transactions in GIS, 23(3), 398-416.
• Yan, B., Janowicz, K., Mai, G., and Zhu, R. (2019). A spatially-explicit reinforcement learning model for geographic knowledge graph summarization. Transactions in GIS, 23(3), 620-640.
• Li, Z., Zhang, X., Clarke, K. C., Liu, G., and Zhu, R. (2018). An automatic variogram modeling method with high reliability fitness and estimates. Computers & Geosciences, 120, 48-59.
• Davis, A. W., McBride, E. C., Janowicz, K., Zhu, R., and Goulias, K. G. (2018). Tour-based path analysis of long-distance non-commute travel behavior in California. Transportation research record, 2672(49), 1-11.
• Zhu, R., Hu, Y., Janowicz, K., and McKenzie, G., (2016). Spatial signature for geographic feature types: examining gazetteer ontologies using spatial statistics. Transactions in GIS, 20(3), 333-355.
• Zhu, R., and Karimi, H. A. (2014). Automatic selection of landmarks for navigation guidance. Transactions in GIS, 19(2), 247-261.
• Karimi, H. A., Jiang, M., and Zhu, R. (2013). Pedestrian navigation services: challenges and current trends. Geomatica ,67(4), 259-271.

Peer-reviewed Conference Papers

• Zhu, R., Janowicz, K., Mai, G., Cai, L., and Shi, M. (2022): COVID-Forecast-Graph: An open knowledge graph for consolidating COVID-19 forecasts and economic indicators via place and time. AGILE GIScience Ser., 3, 21.
• Janowicz, K., Zhu, R., Verstegen, J., McKenzie, G., Martins, B., and Cai, L. (2022): Six GIScience ideas that must die. AGILE GIScience Ser., 3, 7.
• Liu, Z., Janowicz, K., Cai, L., Zhu, R., Mai, G., and Shi, M. (2022): Geoparsing: Solved or biased? An evaluation of geographic biases in geoparsing. AGILE GIScience Ser., 3, 9.
• Zhu, R., Shimizu, C., Stephen, S., Zhou, Lu., Cai, L., Mai, G., Janowicz, K., Schildhauer, M., and Hitzler, P. (2021): SOSA-SHACL: Shapes constraint for the Sensor, Observation, Sample, and Actuator ontology. In: Proceedings of 10th International Joint Conference on Knowledge Graphs, December 6-8th, 2021, online.
• Shimizu, C., Zhu, R., Mai, G., Fisher, C., Cai, L., Schildhauer, M., Janowicz, K., Hitzler, P., Zhou, L., and Stephen, S. (2021): A pattern for features on a hierarchical spatial grid. In: Proceedings of 10th International Joint Conference on Knowledge Graphs, December 6-8th, 2021, online.
• Zhu, R., Cai, L., Mai, G., Shimizu, C., Fisher, C., Janowicz, K., Loptz-Carr, A., Schroeder, A., Schildhauer, M., Tian, Y., Stephen, S., and Liu, Z., (2021): Providing humanitarian relief support through knowledge graphs. In: Proceedings of 11th International Conference on Knowledge Capture, December 2-3th, 2021, online.
• Cai, L., Janowicz, K., Yan, B., Zhu, R., and Mai, G. (2021): Time in a box: Advancing knowledge graph completion with temporal scopes. In: Proceedings of 11th International Conference on Knowledge Capture, December 2-3th, 2021, online. * Best Paper Award
• Zhu, R., Ambrose, S., Zhou, L., Shimizu, C., Mai, G., Janowicz, K., Hitzler, P., and Schildhauer, M. (2021): Environmental observations in knowledge graphs. In: Proceedings of 2nd Workshop on Data and Research Objects Management for Linked Open Science, October 24th, 2021, online.
• Shimizu, C., Zhu, R., Mai, G., Schildhauer, M., Janowicz, K., and Hitzler, P. (2021): A pattern for modeling causal relations between events. In: Proceedings of 12th Workshop on Ontology Design and Patterns, October 24th, 2021, online.
• Lafia, S., Zhu, R., and Regalia, B. (2021): Reimagining GIS instruction through concept-based learning. In: Proceedings of AGILE 2021. June 8 - 11, 2021, Crete, Greece.
• Mai, G., Janowicz, K., Zhu, R., Cai, L., and Lao, N. (2021): Geographic question answering: Challenges, uniqueness, classification, and future directions. In: Proceedings of AGILE 2021. June 8 - 11, 2021, Crete, Greece.
• Shi, M., Janowicz, K., Cai, L., Mai, G., and Zhu, R. (2021): A socially aware Huff model for destination choice in nature-based tourism. In: Proceedings of AGILE 2021. June 8 - 11, 2021, Crete, Greece.
• Mai, G., Janowicz, K., Yan, B., Zhu, R., Cai, L., and Lao, N. (2020): Multi-scale representation learning for spatial feature distributions using grid cells. In: Proceedings of International Conference on Learning Representations (ICLR 2020). April 26 - 30, 2020, Addis Ababa, Ethiopia. * Spotlight Paper
• Zhu, R., McKenzie, G., and Janowicz, K. (2019): Are streets indicative of place types? In: Proceedings of Geographical and Cultural Aspects of Geoinformation: Issues and Solutions, June 17 - 20, 2019, Limassol, Cyprus.
• Mai, G., Janowicz, K., Yan, B., Zhu, R., Ling, C., and Lao, N. (2019): Contextual graph attention for answering logical queries over incomplete knowledge graphs. In: 10th International Conference on Knowledge Capture. November 19 - 21, 2019, Los Angeles, CA.
• Cai, L., Janowicz, K., Yan, B., Mai, G., and Zhu, R. (2019): TransGCN: coupling transformation assumptions with graph convolutional networks for link prediction. In: 10th International Conference on Knowledge Capture. November 19 - 21, 2019, Los Angeles, CA. * Best Paper Award
• Mai, G., Yan, B., Janowicz, K., and Zhu, R. (2019): Relaxing unanswerable geographic questions using a spatially explicit knowledge graph embedding model. In:Proceedings of AGILE 2019, June 17 - 20, 2019, Limassol, Cyprus. * Best Full Paper Award
• Yan, B., Janowicz, K., Mai, G., and Zhu, R. (2018): xNet+SC: classifying places based on images by incorporating spatial contexts. In: GIScience 2018: 10th International Conference on Geographic Information Science. August 28 - 31, 2018, Melbourne, Australia
• Mai, G., Janowicz, K., Hu Y., Gao S., Zhu R., Yan B., McKenzie G., Uppal A., and Regalia B. (2018): Collections of points of interest: how to name them and why it matters. In: Proceedings of Spatial big data and machine learning in GIScience Workshop at GIScience 2018 , August 28 - 31, 2018, Melbourne, Australia.
• Janowicz, K. Yan, B, Regalia, B., Zhu, R., and Mai, G. (2018): debiasing knowledge graphs: why female presidents are not like female popes. In: International Semantic Web Conference (ISWC) 2018. Monterey, USA.
• Zhu, R., Kyriakidis, P. C., and Janowicz, K. (2017, May). Beyond pairs: generalizing the geo-dipole for quantifying spatial patterns in geographic fields. In A. Bregt, T. Sarjakoski, R. van Lammeren, & F. Rip (Eds.), Societal Geo-innovation: Selected Papers of the 20th AGILE Conference on Geographic Information Science. Lecture Notes in Geoinformation and Cartography (pp.331-348). Cham, Switzerland:Springer. * Best Full Paper Award
• Janowicz, K., Hu, Y., McKenzie, G., Gao, S., Regalia, B., Mai, G., Zhu, R., Adams, B., and 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.
• Zhu, R., Janowicz, K., Yan, B., and Hu, Y.(2016). Which Kobani? A sase study on the role of spatial statistics and semantics for coreference resolution across gazetteers. In: GIScience 2016 Short Paper Proceedings. Ninth International Conference on Geographic Information Science . Montreal, Canada.
• Gao, S., Zhu, R., and Mai, G. (2016). Identifying local spatiotemporal autocorrelation patterns of taxi pick-ups and drop-offs. In: GIScience 2016 Short Paper Proceedings. Ninth International Conference on Geographic Information Science. Montreal, Canada.

Peer-reviewed Book Chapters

• Zhu, R. (2021). Directional operations. The Geographic Information Science & Technology Body of Knowledge.
• Janowicz, K., McKenzie, G., Hu, Y., Zhu, R. , and Gao, S. (2018): Using semantic signatures for social sensing in urban environments. Mobility Patterns, Big Data and Transport Analytics.

Workshop/Symposium Short Papers & Extended Abstracts

• Zhu, R. (2019). Position paper on spatial data science. 2019 Spatial Data Science Symposium, December 9-11, 2019, Santa Barbara, CA.
• Zhu, R. (2019). A high-order statistical approach to understand urban structures. 2019 Location-based Big Data Symposium, in conjunction with the 29th International Cartographic Conference, July 15-20, 2019, Tokyo, Japan.
• Zhu, R., and Janowicz, K. (2018). Adopting semantic signatures to quantify the uncertainty of volunteered geographic Information. 13th International Symposium of Spatial Accuracy, May 21-25, 2018, Beijing, China. * Best Student Presentation Award
• Zhu, R., and Janowicz, K. (2018). Quantifying semantic uncertainties of volunteered geographic information to understand human travel behaviors. 15th International Conference on Travel Behavior Research, July 15-20, 2018, Santa Barbara, CA, USA.
• Zhu, R., Janowicz, K., and Gao, S. (2017). Quantifying the attractiveness of destinations for modeling long distance travel patterns. NSF Mobility Science Workshop, May 11-12, 2017, Columbus, OH, USA.