Codato D., Piovan S., Trivelloni U., Brentan D., Piccolo D., Pappalardo S., Zorzi S., Li Z., Hodgson M., Marchi M., (2022) Veneto between pandemic data, satellite imagery and social media in the analysis of the infection and of the lockdown, in Atlante Covid-19 Geografie Del Contagio in Italia, https://www.ageiweb.it/wp-content/uploads/2022/08/Atlante_Covid-19-online.pdf
Li Z., (2020) Geospatial Big Data Handling with High Performance Computing: Current Approaches and Future Directions, In Tang, W., Wang, S., (eds.), High Performance Computing for Geospatial Applications, Springer
Li Z., Gui Z, Hofer B., Li Y., Scheider S., Shekhar S., Geospatial Information Processing Technologies, (2020) In Guo, H., Goodchild, M.F., Annoni, A. (eds.), Manual of Digital Earth, Springer
Huang X., Xu D., Li Z., Wang C., (2020) Translating Multispectral Imagery to Nighttime Imagery via Conditional Generative Adversarial Networks, IEEE International Geoscience and Remote Sensing Symposium, July 19-24, 2020, Hawaii, USA.
Vayansky I., Kumar S., Li Z., (2019) An Evaluation of Geotagged Twitter Data during Hurricane Irma using Sentiment Analysis and Topic Modeling for Disaster Resilience, in 2019 IEEE International Symposium on Technology in Society (ISTAS) Proceedings, 15 – 16 November, Boston
Huang X., Wang C., Li Z., (2019) High-Resolution Population Grid in the CONUS using Microsoft Building Footprints: a feasibility study, in Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Geospatial Humanities, November 5, Chicago, Illinois, USA
Huang, X., C. Wang, and Li Z., (2019) Linking picture with text: tagging flood relevant tweets for rapid flood inundation mapping, Proceedings of the International Cartographic Association 2(45), doi: 10.5194/ica-proc-2-45-2019
Jiang Y., Li Z., Ye X.,(2018), Measuring inter-city network using digital footprints from Twitter users, Proceedings of the 2nd ACM SIGSPATIAL International Workshop on PredictGIS, 11/06/2018, Seattle, Washington, USA.
Singleton S., Kumar S., Li Z. (2018), Twitter Analytics: Are the United States Coastal Regions Prepared for Climate Change? IEEE International Symposium on Technology and Society
Liu X., Huang Q., Li Z. (2017), The impact of MTUP to explore online trajectories for human mobility studies. Proceedings of the 1st ACM SIGSPATIAL International Workshop on PredictGIS
Huang Q., Li Z., Li J., (2016), Mining Frequent Trajectory Patterns from Online Footprints, 7th ACM SIGSPATIAL International Workshop on GeoStreaming (IWGS), San Francisco, California, USA.
Yu, M., Yang, C., Li, Z., Liu, K., & Chen, S. (2015), Enabling the Acceleration of Dust Simulation using Job Scheduling Methods in a Cloud Environment. In Proceedings of the 13th International Conference on GeoComputation
Li Z., Yang C., Sun M., Li J., Xu C., Huang Q., & Liu K., (2013). A High Performance Web-Based System for Analyzing and Visualizing Spatiotemporal Data for Climate Studies. In W2GIS, Lecture Notes in Computer Science, Volume 7820 (pp. 190-198). Springer Berlin Heidelberg.
Liu K., Yang C., Li W., Li Z., Wu H., Rezgui A., & Xia J., (2011). The GEOSS Clearinghouse high performance search engine. In 2011 19th International Conference on Geoinformatics (pp. 1-4), IEEE.
Bambacus M., Yang C., Evans J., Li Z., Li W. and Huang Q., (2008). Sharing Earth science information to support the Global Earth Observing System of Systems (GEOSS). In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS08) (pp. 141-144), Boston, US.
Yang C., Liu K., Li Z., Li W., Wu H., Xia J., Huang Q., et al. (2014). GEOSS Clearinghouse: Integrating Geospatial Resources to Support the Global Earth Observation System of Systems, (2014). In Karimi, H. A. (Ed.), Big Data: Techniques and Technologies in Geoinformatics (pp. 31-54). CRC Press.
Yang, C., Sun, M., Liu, K., Huang, Q., Li, Z., Gui, Z., Jiang, Y., et al., (2014). Contemporary Computing Technologies for Processing Big Spatiotemporal Data. In Kwan M.P., Richardson D., Wang D., Zhou C.,(Eds.), Space-Time Integration in Geography and GIScience (pp. 327-351). Springer Netherlands.
Li, Z., Huang, Q., and Gui, Z., (2013). Enabling Technologies. In Yang C., Huang Q., Li Z., Xu C., Liu K(Eds.), Spatial cloud computing: a practical approach (pp. 33-48) CRC Press/Taylor & Francis
Huang, Q., Li, Z., Xia, J., Jiang, Y., Xu, C., Liu, K., et al., (2013). Accelerating Geocomputation with Cloud Computing. In Shi X., Kindratenko V., and Yang C. (Eds.), Modern Accelerator Technologies for Geographic Information Science (pp. 41-51). Springer US.
Li J., Li, Z., Sun M., Liu K., (2013). Cloud-enabling Climate@Home. In Yang C., Huang Q., Li Z., Xu C., Liu K.,(Eds.), Spatial cloud computing: a practical approach (pp. 143-160). CRC Press/Taylor & Francis
Huang, Q., Li, Z., Liu K., Xia J., Jiang Y., Xu C., Yang C., (2013). Handling of Data, Computing, Concurrent and Spatiotemporal Intensities. In Yang C., Huang Q., Li Z., Xu C., Liu K.,(Eds.), Spatial cloud computing: a practical approach(pp. 275-294). CRC Press/Taylor & Francis
Yang C., Huang Q., Gui Z., Li Z., Xu C., Jiang Y., Li J., (2013). Cloud Computing Research for Geosciences. In Yang C., Huang Q., Li Z., Xu C., Liu K.,(Eds.), Spatial cloud computing: a practical approach (pp. 295-310). CRC Press/Taylor & Francis
Liu K., Huang Q., Xia J., Li Z., Lostritto P., 2013. How to User Cloud Computing. In Yang C., Huang Q., Li Z., Xu C., Liu K., (Eds.), Spatial cloud computing: a practical approach (pp. 51-74). CRC Press/Taylor & Francis
Liu K., Nebert D., Huang Q., Xia J., Li Z., 2013. Cloud-enabling GEOSS clearinghouse. In Yang C., Huang Q., Li Z., Xu C., Liu K., (Eds.), Spatial cloud computing: a practical approach (pp. 51-74). CRC Press/Taylor & Francis
Li, Z., W. Li, (2010). In Yang C., Wong D., Miao Q., Yang Run., (Eds.), Geobrowser and spatial web portals. Advanced Geoinformation Science(pp. 234-239), CRC Press/Taylor and Francis
Yang C., Wu H., Huang Q., Li Z., J. Li, W. Li, L. Miao and M. Sun, (2011). WebGIS performance issues and solutions, ISPRS book on Advances in web-based GIS, mapping services and applications (pp. 121-138), London: Taylor & Francis
Shi, X., Nebert D., Zhang C., Yang H., Wu H., Zhao P., Li Z. et al. (2011). Geoinformation Infrastructure (GII). In Yang C., Wong D., Miao Q., and Yang R. (Eds.), Advanced GeoInformation Science(pp. 205-274), CRC Press/Taylor and Francis
Other Publications
Li Z., Wang C., Emrich C., Guo D., 2016. Rapid Mapping of October 2015 South Carolina Flood using Social Media, Remote Sensing and Stream Gauges. In: The South Carolina Deluge: Lessons from a Watershed Disaster, Center for Resilience Studies, Northeastern University (pp. 52-62)
Wang C., Li Z., Emrich C., Remote sensing of surface wetness dynamics during the October 2015 South Carolina Flood, Congaree River Watershed. In: The South Carolina Deluge: Lessons from a Watershed Disaster, Center for Resilience Studies, Northeastern University (pp. 63-67)
Karami A., Li Z. (2016), Computational Framework for Tracking Reports, Opinions and Feelings of People in Social Media Before, During and After a Natural Disaster: Twitter Case Study in the 2015 South Carolina Flood, Available at https://sc.edu/about/offices_and_divisions/research/docs/sc_floods_project_summarybooklet.pdf (pp. 37-38)