Zhaonan Wang is an Assistant Professor of Urban Studies and Computer Science at NYU Shanghai. His research interests lie in the interdisciplinary area of AI-urban science; he has published over 20 papers on top-tier AI/data mining conferences and journals. Zhaonan has just finished postdoc at University of Illinois Urbana-Champaign, where he led the Geospatial AI team at CyberGIS Center. Zhaonan obtained his PhD in 2022 at Center for Spatial Information Science, the University of Tokyo, where he was awarded the Japanese Government (MEXT) scholarship. Zhaonan was also one of 37 nominees who were admitted to Peking University with College Entrance Exam exempted in Beijing 2010.
Select Publications
Z Wang, R Jiang, H Xue, FD Salim, X Song, R Shibasaki, W Hu, S Wang. 2024. Learning Spatio-Temporal Dynamics on Mobility Networks for Adaptation to Open-World Events. Artificial Intelligence, 104120.
R Jiang*, Z Wang*, J Yong, P Jeph, Q Chen, Y Kobayashi, X Song, S Fukushima, T Suzumura. 2023. Spatio-Temporal Meta-Graph Learning for Traffic Forecasting. Proceedings of the AAAI conference on Artificial Intelligence 37 (7), 8078-8086.
R Jiang*, Z Wang*, Y Tao, C Yang, X Song, R Shibasaki, SC Chen, ML Shyu. 2023. Learning Social Meta-Knowledge for Nowcasting Human Mobility in Disaster. Proceedings of the ACM Web Conference 2023, 2655-2665.
Z Wang, R Jiang, H Xue, FD Salim, X Song, R Shibasaki. 2022. Event-Aware Multimodal Mobility Nowcasting. Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4228-4236.
Z Wang, T Xia, R Jiang, X Liu, KS Kim, X Song, R Shibasaki. 2021. Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural Networks. 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1751-1762.
Education
PhD, Spatial Information Science
The University of TokyoMA, City Planning
Boston UniversityBS, Geographic Information Science
Peking University
Research Interests
AI & Urban Sensing
Spatial & Temporal Data Mining
Mobility & Traffic Network Dynamics