Phone: +1 608 622 2147
Address: 544 Science Hall, 550 N. Park St.,
Madison, WI 53706, United States
I am currently a second-year Ph.D. student in Geographic Information System (also in the M.S. Program in Computer Science) 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, Privacy-Preserving AI, 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, supervised by Prof. Qingyun Du) at Wuhan University.
[05/2021] I will be interning at X, the moonshot factory (formerly Google[X]) as an AI Resident. Super excited to join the team!
[04/2021] Our full research paper is accepted for PNAS.
[04/2021] Our full research paper is accepted for Transactions in GIS.
[03/2021] Our conference paper is accepted for IEEE IGARSS 2021.
[01/2021] Our full research paper is accepted for IEEE Transactions on Intelligent Transportation Systems.
[09/2020] Our full research paper is accepted for CEUS.
[08/2020] I start to work as a Research Assistant in Department of Geography, UW-Madison.
[08/2020] I finished my internship at Sturfee Inc.. I had a fruitful intern experience here!
[05/2020] Our conference paper is accepted for GIScience 2021.
[05/2020] Our Tracking Mobility Changes Interactive Web Portal is released! Check it out and join the fight against COVID-19!
[02/2020] Our two conference papers are accepted for AutoCarto 2020.
Reviewer for Scientific Reports.
Reviewer for BMC Public Health.
Reviewer for Computers & Geosciences.
Reviewer for Transactions in GIS.
Reviewer for Habitat International.
Reviewer for Land Use Policy.
Curriculum Committee Member in Department of Geography, UW-Madison.
Volunteer for the International Forum for Geospatial Education in ERASMUS+ GeoServices-4-Sustainability Project.
Network Center Assistant in School of Resource and Environmental Sciences, Wuhan University.
[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.
 Best Poster Paper - ACM SIGSPATIAL 2019 RAAS Workshop.
 Welcome Award - University of Wisconsin-Madison.
 Silver Award - The 3rd China College Students’ ‘Internet+’ Innovation and Entrepreneurship Competition, Hubei Final.
 The 1st Prize & The 2nd Prize - The 3rd Wuhan University ‘Internet+’ Innovation and Entrepreneurship Competition.
 The 2nd Prize - The 21st Foreign Language Translation Competition, Hubei.
 National 3rd Prize & Wuhan 1st Prize - The 12th SuperMap Cup University GIS Contest.
Adobe PhotoShop, Adobe Illustrator, CorelDraw Suite, etc.
Windows, Mac OS, Linux Desktop/Server (Ubuntu, CentOS), Android, etc.
Tensorflow, PyTorch, MXNet, OpenCV, OpenGL, Scikit-learn, GDAL/OGR, ArcPy, Shapely, GeoPandas, Numpy, Scipy, Pandas, Matplotlib, Flask, Scrapy, etc.
ArcGIS, QGIS, Unity 3D, PostgreSQL, PostgreGIS, MySQL, After Effects, Sony Vegas, Tomcat, Apache, Nginx, etc.
English (Fluent, 105/120 in TOEFL test); Chinese (Native).
("*" = Research Supervisor; "✉" = Corresponding Author)
Rao, J., Gao, S.*✉, Li, M. and Huang, Q. (2021). A Privacy-Preserving Framework for Location Recommendation Using Decentralized Collaborative Machine Learning. Transactions in GIS. (Accepted)
Peng, N., Xi, Y., Rao, J., Ma, X., and Ren, F✉. (2021). Urban Multiple Route Planning Model Using Dynamic Programming in Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems. (Accepted)
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.
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)
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.
Association of mobility data indications of travel and stay-at-Home mandates with COVID-19 infection rates in the US.Read Me
LSTM-TrajGAN: A deep learning method combining LSTM and generative adversarial network for trajectory privacy protection.Read Me
Mapping county-level mobility pattern changes in the United States in response to COVID-19.Read Me
Focus on geovisualization and human-computer interaction through computer vision methods.Read Me
Using Python and plenty of open source libraries to achieve parallel geospatial data processing.Read Me
More projects, including research works, thesis projects, course projects, and personal projects.Read Me