Fanglan Chen
Fanglan Chen is a Ph.D. student in the Department of Computer Science and her advisor is Chang-Tien Lu. She is also working on a simultaneous master’s degree in Urban and Regional Planning at Virginia Tech.
Chen was an NSF research trainee in the UrbComp program and has earned the graduate certificate.
Chen’s research interests include spatial data mining, urban computing, and machine learning. She interned with the District Department of Transportation (DDOT) in Washington, D.C., analyzing crash history data to promote traffic safety at intersections. Chen is currently working in the Spatial Mining Lab. Her current work focuses on exploring data-driven approaches to support local jurisdictions in decision making.
Urban ComputingPublications
Jianfeng He, Xuchao Zhang, Shuo Lei, Abdulaziz Alhamadani, Fanglan Chen
In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp 698-710), 08/2023
Citatations: BibTeX
Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen
In Proceedings of the Association for Computational Linguistics, (pp 11014-11026), 07/2023
Citatations: BibTeX
Fanglan Chen
In ACM Transactions on Spatial Algorithms and Systems, 9 1: 1-24, 01/2023
Citatations: BibTeX
