王肇南
上海纽约大学 城市研究和计算机科学长聘助理教授
联系方式
zhaonan.wang@nyu.edu
教学背景
东京大学博士，空间信息科学
波士顿大学硕士，城市规划
北京大学学士，地理信息科学
- 83 次浏览
王肇南即将以助理教授身份加入上海纽约大学。他的研究兴趣位于人工智能和城市研究的交叉领域；他已在顶级人工智能及数据科学的会议期刊上发表论文20余篇。王博士刚刚在伊利诺伊大学完成博士后研究，带领CyberGIS中心的小组专攻空间智能研究；在此之前，他于2022年在东京大学空间信息科学中心完成博士研究，并获得日本国费奖学金（MEXT）。肇南也是北京大学2010年北京市的37名保送生之一。
部分出版物:
• 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.
研究兴趣:
• AI与城市感知
• 移动性网络动态
• 时空数据挖掘
部分出版物:
• 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.
研究兴趣:
• AI与城市感知
• 移动性网络动态
• 时空数据挖掘