CSIG-VIS International Lecture Series 5
    Prof. Issei Fujishiro | Making Effective Queries on Time-Varying Multi-Dimensional Datasets


    Speaker: Prof. Issei Fujishiro

    Keio University, Japan

    Topic: Making Effective Queries on Time-Varying Multi-Dimensional Datasets

    Time: Nov. 18, 2021 14:00-15:30 (China Standard Time)

    Abstract: Many problems are observed in the form of time-varying multi-dimensional datasets. In this lecture, we will discuss how large datasets of this kind are visually explored, with a particular focus on two kinds of dynamic visual querying, namely, query by example and query by sketch. These querying approaches serve as more efficient ways of identifying observable and recurring time variation patterns in long-term datasets. Dynamic visual querying is amplified with an auxiliary mechanism called “fact-guided querying,” which is intended to iteratively refine queries and results by specifying a query on the basis of the findings of a previous query. The efficacy of these concepts will be illustrated with actual analysis examples executed in a visual analytics environment called TimeTubeX for blazar observation research.

    Speaker Bio: Issei Fujishiro is currently a professor of information and computer science, Keio University in Yokohama, Japan and holds an adjunct position at the School of Computer Science at Hangzhou Dianzi University in Hangzhou, China. He received his doctor of science degree in information sciences from the University of Tokyo in 1988. His research interests include applied visualization design and lifecycle management. Professor Fujishiro served on the editorial board of Computers and Graphics (Elsevier, 2003–2013) and has been carrying on with the same position at IEEE TVCG (1999–2003, 2018–2022) and the Journal of Visual Informatics (Elsevier, 2016 to present) . He co-founded IEEE PacificVis as a program chair in 2008 and took on the position of general chair of PacificVis 2014. He also worked as a SciVis paper co-chair of IEEE VIS 2019/2018 and a workshop chair of PacificVAST 2018 and TopoInVis 2017. At present, he is the president of the Visualization Society of Japan and a member of the Science Council of Japan. He is a fellow of JFES and IPSJ, an honorary member of IIEEJ, a senior member of IEEE and ACM, and a 2021 inductee into the IEEE Visualization Academy.

    Live Stream： http://live.bilibili.com/23327855

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    Session Chair:Yi Chen

    Session Chair Bio:Yi Chen is a professor in the School of Computer Science and Engineering, Beijing Technology and Business University, Beijing, China, and leads the Beijing Key Laboratory of Big Data Technology for Food Safety. Her research interests mainly focus on information visualization, visual analytics and big data technology for food quality and safety, including high-dimensional, hierarchical, spatiotemporal and graph data visual analytics. She received the Ph.D. degree in computer science from Beijing Institute of Technology in 2002.







    About Us

    Webpage: http://chinavis.org/lectures/english/index_en.html
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    About CSIG-VIS

    The China Society of Image and Graphics, Technical Committee on Visualization and Visual Analytics (CSIG-VIS) is the first technical committee on visualization and visual analytics in China. The technical committee aims to develop a communication platform for stakeholders in academia and industry, to discuss the trends and opportunities in the era of big data, to promote the discipline development and talent cultivation, to push forward the research and applications in the related disciplines, and ultimately to build a sustainable ecosystem involving industry, universities, and other research institutes. The technical committee, officially established on December 23, 2017, already attracts more than 100 members from various affiliations, including domestic and international universities and companies.

    About The CSIG-VIS International Lecture Series

    The CSIG-VIS International Lecture Series, launched by the China Society of Image and Graphics, Technical Committee on Visualization and Visual Analytics, invites renowned experts to share their visions of the research trends and latest progress in visualization. These biweekly lectures are conducted in Thursday, and please refer to http://chinavis.org /lectures/english/index_en.html for details.