GAMES Webinar 2020 – 147期(可视化专题) | Zhicheng Liu(Adobe Research)

【GAMES Webinar 2020-147期】(可视化专题)

报告嘉宾：Zhicheng Liu(Adobe Research)

报告时间：2020年7月16日上午10:00-11:00（北京时间）

报告题目：Scalable Visualization Systems for Broad Audiences

报告摘要：

Two recent trends have brought opportunities and challenges in data visualization research. First, data are increasing in size and complexity across problem domains, demanding interpretable and performant visualization systems. In addition, more diverse users, such as scientists, analysts, journalists, and designers, need to work with data as an integral part of their jobs. They require visualization tools that offer low barriers of entry without sacrificing analytic or expressive power.

I will present research projects that address these two challenges from a human-centered perspective. To support exploratory analysis of large multivariate and event sequence datasets, I use perceptual and interactive scalability as the driving principle to propose new interaction techniques. To make visualization tools accessible to a broader range of users, novel visualization process models can power the design and construction of natural language interfaces and visualization authoring systems. These techniques and models lay the foundation for future research on enabling a fluid exchange of tools, designs and critiques in a visualization ecosystem. 

讲者简介：

Zhicheng Liu a research scientist at the Creative Intelligence Lab, Adobe Research, and will join the department of computer science at University of Maryland in August 2020. Before joining Adobe, he was a postdoctoral fellow at the Department of Computer Science of Stanford University. He completed a PhD in the Human-Centered Computing program at Georgia Tech. His research has received two Best Paper Awards at ACM CHI, a Test of Time Award at IEEE VAST, multiple Best Paper Honorable Mentions at IEEE InfoVis, IEEE VAST and ACM CHI, and dissertation awards from Georgia Tech and IEEE Visualization and Graphics Technical Committee. The visualization tools developed by him and collaborators are adopted by users around the world.

讲者个人主页: https://www.zcliu.org/

主持人简介：

陈谊：北京工商大学计算机学院教授，食品安全大数据技术北京市重点实验室主任。兼任任中国图象图形学学会可视化与可视分析专业委员会副主任。主要研究方向为可视化与可视分析，食品安全大数据分析。在JOV、JVLC、软件学报、计算机辅助设计与图形学学报等学术期刊和会议上发表论文100余篇，获授权国家发明专利12项，获中国分析测试协会科学技术奖（CAIA奖）特等奖。多次担任PacificVis、ChinaVis、ChinaVR、ChinaLDVA等著名可视化学术会议程序委员会委员和审稿人，更多信息请见http://cie.btbu.edu.cn/szdw/xb/jsjx/39484.htm。

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