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Visual Analytics of Urban Data

Yingcai Wu, Zhejiang University

Abstract

With the rapid development of sensing technologies and computing infrastructures, urban cities have been producing massive heterogeneous urban data on a daily basis, implying a wide spectrum of information and rich knowledge about the cities. Visual analytics, which facilitates analytical reasoning by interactive visual interfaces, have proven its value in solving various urban problems. In this talk, I will discuss our research experiences in visual analytics of big urban data, and introduce several recent studies of our group of making sense of large-scale urban data through interactive visualization.

Bio

Yingcai Wu is a ZJU100 Young Professor at the State Key Lab of CAD & CG, Zhejiang University. He obtained his Ph.D. degree in Computer Science from the Hong Kong University of Science and Technology (HKUST). Prior to his current position, Yingcai Wu was a researcher in the Microsoft Research Asia, Beijing, China from 2012 to 2015, and a postdoctoral researcher in the University of California, Davis from 2010 to 2012. His main research interests are in visual analytics, information visualization, and human computer interaction, with focuses on urban computing, social media analysis, text visualization, and behavior analysis. He has published more than 50 refereed papers and his three papers have been awarded Honorable Mention at IEEE VIS (SciVis) 2009, IEEE VIS (VAST) 2014, and IEEE PacificVis 2016. For more information, please visit www.ycwu.org