报告时间：2016年4月12日（星期二），上午10：30
报告地点：浙江大学紫金港校区蒙民伟楼CAD&CG国家重点实验室402室
报告题目：Visual Comparison of Human Brain Networks
报告人：时磊 副教授
主持人：陈为 教授
Abstract:Why are some people more creative than others? How do human brain networks evolve over time? A key stepping stone to both mysteries and many more is to compare weighted brain networks. In contrast to networks arising from other application domains, the brain network exhibits its own characteristics (e.g., high density, indistinguishability), which makes any off-the-shelf data mining algorithm as well as visualization tool sub-optimal or even mis-leading.
In this talk, we propose a shift from the current mining-then-visualization paradigm, to jointly model these two core building blocks (i.e., mining and visualization) for brain network comparisons. The key idea is to integrate the human perception constraint into the mining block earlier so as to guide the analysis process. We formulate this as a multi-objective feature selection problem; and propose an integrated framework, BrainQuest, to solve it. This talk will also discuss the integrated visual analytics pipeline that orchestrates computational models with comprehensive data visualizations on human brain networks. User studies, quantitative experiments, and two real-world case studies to evaluate the proposed method will be mentioned at last.
Bio: Lei Shi is an associate professor in the State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences. Before that, he was a research staff member and research manager at IBM Research – China. He holds B.S. (2003), M.S. (2006) and Ph.D. (2008) degrees from Department of Computer Science and Technology, Tsinghua University. His research interests span Information Visualization, Visual Analytics, Data Mining and Networked Systems, with more than 60 papers published in interdisciplinary venues, such as IEEE TVCG, TKDE, TC, VIS, ICDM, ICDE, Infocom, ACM Sigcomm and CSCW. He also serves program commitee members on a few related conferences including KDD, PacificVis, Graph Drawing, IJCAI, WSDM, ICDM (demo). He is the recipient of IBM Research Accomplishment Award on "Visual Analytics" and the IEEE VAST Challenge Award twice in 2010 and 2012. He is an IEEE senior member. More details can be found in his homepage: http://lcs.ios.ac.cn/~shil/
