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
Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Naren Ramakrishnan, Zhiqian Chen
In Proceedings of the 11th AAAI Conference on Artificial Intelligence, (pp 13115-13116), 06/2022
Citatations: BibTeX
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen
In Cornell University, : , 07/2021
Citatations: BibTeX
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen
In Cornell University, : , 07/2021
Citatations: BibTeX
In the News
