Affiliation
State Key Lab of CAD & CG, College of Computer Science and Technology, Zhejiang University
Bio
Yingcai Wu is a National Youth-1000 scholar and a ZJU100 Young Professor at the State Key Lab of CAD & CG, College of Computer Science and Technology, 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 at the University of California, Davis from 2010 to 2012. He was a paper co-chair of IEEE Pacific Visualization 2017, ChinaVis 2016, ChinaVis 2017, and VINCI 2014. He was also the guest editor of IEEE TVCG, ACM Transactions on Intelligent Systems and Technology (TIST), and IEEE Transactions on Multimedia.
Research
His main research interests are in visual analytics and human-computer interaction, with focuses on sports analytics, urban computing, and social media analysis. In sports analytics, he created new visualization methods and developed effective visual analytics systems to help analyze and explore complex sports data, such as soccer data and table tennis data. He has published more than 50 refereed papers, including 25 IEEE Transactions on Visualization and Computer Graphics (TVCG) papers. His three papers have been awarded Honorable Mention at IEEE VIS (SciVis) 2009, IEEE VIS (VAST) 2014, and IEEE PacificVis 2016. For more information, visit www.ycwu.org
Publications
- Yingcai Wu, Xiao Xie, Jiachen Wang, Dazhen Deng, Hongye Liang, Hui Zhang, Shoubin Cheng, and Wei Chen. ForVizor: Visualizing Spatio-Temporal Team Formations in Soccer. To appear in IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE VAST 2018).
- Yingcai Wu, Ji Lan, Xinhuan Shu, Chenyang Ji, Kejian Zhao, Jiachen Wang, and Hui Zhang. iTTVis: Interactive Visualization of Table Tennis Data. IEEE Transactions on Visualization and Computer Graphics. 23(1): 1-10 (2017) (Proceedings of IEEE InfoVis 2017).