Kaiqun Fu
Kaiqun Fu was a Ph. D. student in the Department of Computer Science. His advisor was Chang-Tien Lu.
Fu worked at the Spatial Mining Lab. He also worked closely with the District of Columbia Department of Transportation on Intelligent Transportation System (ITS) and smart city projects.
Fu’s research interests are spatial data mining, machine learning, and intelligent transportation systems. He is particularly interested in social media analysis in intelligent transportation systems and smart cities, especially on learning algorithms for smart city image analysis.
Publications
Shengkun Wang, Kaiqun Fu, Linhan Wang, Taoran Ji
In Cornell University, : , 10/2023
Citatations: BibTeX
Yanshen Sun, Kaiqun Fu
In Cornell University, : , 03/2023
Citatations: BibTeX
Kaiqun Fu
In Proceedings of the SIAM International Conference on Data Mining, (pp 100-108), 07/2022
Citatations: BibTeX