I am currently a second-year Ph.D. student in Geographic Information System in Geospatial Data Science Lab at University of Wisconsin–Madison, supervised by Prof. Song Gao.

My research interests include GeoAI, Spatio-temporal Data Modeling and Analysis, Geo-Privacy, Computer Vision, Location-Based Services, and Geovisualization.

More specifically, I’m interested in discovering knowledge from diverse data for supporting various geospatial applications such as machine learning/deep learning for data modeling and prediction, geo-privacy protection, building detection, etc.

I was a Geospatial Vision Intern at Sturfee Inc., where I worked on designing cool computer vision algorithms for geospatial data to improve city-scale Augmented Reality experience.

I earned both my B.S. degree (in Geographic Information System, 2016) and M.S. degree (in Cartography and Geographic Information System, 2019) at Wuhan University.

Recent News

My recent activities

Services & Honors

Professional services, honors and awards

Professional Services

Honors & Awards

  • [2018-2019] Outstanding Graduate Student - Wuhan University.

  • [2016-2017] National Scholarship, China.

  • [2014-2015] National Scholarship, China.

  • [2014-2015] The 1st Prize Scholarship - Wuhan University.

  • [2012-2013] The 2nd Prize Scholarship - Wuhan University.

  • [2019] Best Poster Paper - ACM SIGSPATIAL 2019 RAAS Workshop.

  • [2019] Welcome Award - University of Wisconsin-Madison.

  • [2017] Silver Award - The 3rd China College Students’ ‘Internet+’ Innovation and Entrepreneurship Competition, Hubei Final.

  • [2017] The 1st Prize & The 2nd Prize - The 3rd Wuhan University ‘Internet+’ Innovation and Entrepreneurship Competition.

  • [2015] The 2nd Prize - The 21st Foreign Language Translation Competition, Hubei.

  • [2014] National 3rd Prize & Wuhan 1st Prize - The 12th SuperMap Cup University GIS Contest.

Skills

Programming languages, libraries, professional software, etc.

Development

Python, Java, Qt, C/C++, C#, Javascript+HTML+CSS, R, etc.

Design

Adobe PhotoShop, Adobe Illustrator, CorelDraw Suite, etc.

Operation Systems

Windows, Mac OS, Linux Desktop/Server (Ubuntu, CentOS), Android, etc.

Libraries

Tensorflow, PyTorch, MXNet, OpenCV, OpenGL, Scikit-learn, GDAL/OGR, ArcPy, Shapely, GeoPandas, Numpy, Scipy, Pandas, Matplotlib, Flask, Scrapy, etc.

Professional Software

ArcGIS, QGIS, Unity 3D, PostgreSQL, PostgreGIS, MySQL, After Effects, Sony Vegas, Tomcat, Apache, Nginx, etc.

Languages

English (Fluent, 105/120 in TOEFL test); Chinese (Native).

Publication

Peer-reviewed academic articles

("*" = Research Supervisor; "✉" = Corresponding Author)

2020

  • Rao, J.✉, Gao, S.*, Kang, Y. and Du, Q. (2020). Landmarks as Beacons: Pedestrian Navigation Based on Landmark Detection and Mobile Augmented Reality. AutoCarto 2020.

  • Rao, J., Gao, S.*✉, Kang, Y. and Huang, Q. (2020). LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection. In the Proceedings of the 11th International Conference on Geographic Information Science (GIScience 2021), pp. 1-16.

  • Wu, C., Peng, N., Ma, X., Li, S., and Rao, J.✉. (2020). Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China. Computers, Environment and Urban Systems. (Accepted)

  • Du, T., Rao, J., Peng, R. and Du, Q*✉. (2020). Multi-Source Geographic Data Efficient Quality Inspection System Based on Python. Journal of Geomatics 45 (2), 1-6.

  • Gao, S.*✉, Rao, J., Kang, Y., Liang, Y., Kruse, J, Dopfer, D., Sethi, A., Reyes, F., Yandell, B. and Patz J. (2020). Association of Mobile Phone Location Data Indications of Travel and Stay-at-Home Mandates With COVID-19 Infection Rates in the US. JAMA Network Open. 2020;3(9):e2020485.

  • Gao, S.*✉, Rao, J., Kang, Y., Liang, Y. and Kruse, J. (2020). Mapping county-level mobility pattern changes in the United States in response to COVID-19. SIGSPATIAL Special 12 (1), 16-26.

  • Kang, Y.✉, Rao, J., Peng, B., Gao, S.*, Roth, R. and Zhang F. (2020). Towards Cartographic Knowledge Encoding with Deep Learning: A Case Study of Building Generalization. AutoCarto 2020.

  • Kang, Y., Zhang, F.✉, Peng, W., Gao, S.*, Rao, J., Duarte, F. and Ratti, C. (2020). Understanding house price appreciation using multi-source big geo-data and machine learning. Land Use Policy, 10 (4), 9-19.

  • Kang, Y., Gao, S.*✉, Liang, Y., Li, M., Rao, J., and Kruse, J. (2020). Multiscale Dynamic Human Mobility Flow Dataset in the US during the COVID-19 Epidemic. arXiv preprint arXiv:2008.12238.

2019

  • Rao, J.✉, Yu, J., Zhu, X., Du, T. and Ren, F. (2019). An Algorithm For Removing Invalid Pixels In Remote Sensing Images Based On Vector Boundary Extraction. Journal of Geomatics.

  • Gao, S.*✉, Rao, J., Liu, X., Kang, Y., Huang, Q. and App, J. (2019). Exploring the effectiveness of geomasking techniques for protecting the geoprivacy of Twitter users. Journal of Spatial Information Science, 2019(19), 105-129.

  • Gao, S.*✉, Li, M., Rao, J., Mai, G., Prestby, T., Marks, J. and Hu, Y. (2019). Automatic Urban Road Map Generation from Massive GPS Trajectories of Taxis. BGD19.

  • Liang, Y., Gao, S.*✉, Li, M., Kang, Y. and Rao, J. (2019), November. Analyzing the Gap Between Ride-hailing Location and Pick-up Location with Geographical Contexts. The 1st ACM SIGSPATIAL International Workshop on Ride-hailing Algorithms, Applications, and Systems. (Best Poster Paper)

2017

  • Rao, J., Qiao, Y., Ren, F., Wang, J. and Du, Q.*✉ (2017). A Mobile Outdoor Augmented Reality Method Combining Deep Learning Object Detection and Spatial Relationships for Geovisualization. Sensors, 17(9), 1951.

  • Qiao, Y., Rao, J., Wang, J., Du, Q.*✉ and Ren, F. (2017). Geographic Object Detection for Outdoor Augmented Reality. Geomatics World, 5, 011.

Selected Works

Recent research works and projects

Stay-at-Home Order Effects

COVID-19 & Mobile Phone Location Data

Association of mobility data indications of travel and stay-at-Home mandates with COVID-19 infection rates in the US.

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Trajectory Privacy Protection

Deep Learning & Geo-Privacy Protection

LSTM-TrajGAN: A deep learning method combining LSTM and generative adversarial network for trajectory privacy protection.

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Mapping Mobility Changes

ESRI ArcGIS Online Dashboard

Mapping county-level mobility pattern changes in the United States in response to COVID-19.

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Mobile Augmented Reality

Computer Vision & Geovisualization

Focus on geovisualization and human-computer interaction through computer vision methods.

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Geospatial Data Processing

Python & Parallel Data Processing

Using Python and plenty of open source libraries to achieve parallel geospatial data processing.

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More Projects

More Research Works and Projects.

More projects, including research works, thesis projects, course projects, and personal projects.

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