Visual Comparison of Human Brain Network

作者: 分类: 学术报告 时间: 2015-11-24 评论: 暂无评论

主题:Visual Comparison of Human Brain Network
时间:本周五(11月27号)下午3:30pm
地点:G510
摘要: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.

A short version of this talk is presented in ICDM'15 as a regular paper.

报告人简历: 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 50 papers published in interdisciplinary venues, such as IEEE TVCG, TKDE, TC, VIS, ICDM, 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 now serves as the assistant to lab directors in the State Key Laboratory of Computer Science, China. More details can be found in his homepage: http://lcs.ios.ac.cn/~shil/

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