报告摘要：The pervasiveness of mobile and sensing technologies have accumulated large-scale human mobility data of individual users in real time and at different locations from mobile devices and App services. In this talk, we first introduce what are human mobility data. We then focus the modeling, representation, and applications of human mobility data, including (1) modeling spatial diffusion and temporal dynamics; (2) collective representation learning with multi-source data; (3) their applications to smart route recommendations and driving behavior analysis.
报告人简介：Dr. Yanjie Fu received his Ph.D. degree from Rutgers University in 2016, the B.E. degree in Computer Science from University of Science and Technology of China in 2008, and the M.E. degree in Computer Engineering from Chinese Academy of Sciences in 2011. He is currently an Assistant Professor at Missouri S&T (University of Missouri-Rolla)