• Interactive visualizations are useful tools for data analysis and communication. Recently two major trends have brought opportunities and challenges in visualization research. First, data are increasing in size and complexity across problem domains. In addition to improving the efficiency of data management and processing, the design of scalable interactive systems must also take into account the limits of human cognition and the nature of user tasks. Second, more diverse users need to work with data as an integral part of their jobs. These include but are not limited to scientists, analysts, journalists, and designers. Because these people come from varied backgrounds with different levels of technical skills, they require visualization tools that offer low barriers of entry without sacrificing analytic or expressive power.

    My research focuses on scalable visualization systems for broader audiences. Taking a human-centered approach, I contribute novel interaction techniques and visualization models based on a deep understanding of human cognition and user tasks.

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    Data Illustrator
    用于多个参数优化的遗传算法 - 计算模拟 - 小木虫 - 学术 科研 ...:2021-10-17 · 使用遗传算法优化参数,我大概有八九个参数,自己写的算法,使用二进制,现在就是收敛不到最优解,容易早熟。想问问大神伔,八个参数,每个参数用10位二进制表示,交叉采用什么策略比较合适,现在还是单点交叉和单点变异,使用了自适应。
    imMens
    querying big data in real-time through data tile precomputation & parallel processing on GPU
    ssr加速器官网
    最优化算法与matlab应用3:最速下降法_wjyxld的博客 ...:2021-4-2 · 最优化算法与matlab应用3:最速下降法最速下降法上一种沿着N维目标函数的负梯度方向搜索最小值的方法。(1)算法原理函数的负梯度表示如下:搜索步长可调整ak,通常记为(第k次迭伕的步长)。该算法利用一维的线性搜索方法,如二次逼近法,沿着负梯度方向不断搜索函数的较小值,从而找出 …
    MAQUI
    interweaving querying & pattern mining for recursive exploration
    CoreFlow
    mining & visualizing branching patterns in event sequences
    Patterns and Sequences
    exploring clickstreams at multiple levels of granularity

    cnrocket打不开了-outline

    • 801 N 34th St
    • Seattle, WA 98103
    • Tel: 415 832 4366
    • Email: leoli at adobe.com
    Google Scholar | LinkedIn | Twitter

    cnrocket打不开了-outline

    • Mar '20: EuroVis paper on authoring paradigms for animated data graphics
    • Mar '20: A Best Paper Award for our CHI 2024 paper on 超级旋风(下载软件)_百度百科:超级旋风(软件别名:旋风下载;软件现名:QQ旋风)是腾讯公司出版的一种多任务下载软件,由原腾讯TT浏览器中独立出来的版本。超级旋风支持多个任务同时进行,每个任务使用多地址下载、多线程、断点续传、线程连续调度优化等。2021年末,腾讯在超级旋风的基础上,采用最新下载引擎,开发 ...
    • Feb '20: Two papers on responsive visualization design and log data segmentation accepted at CHI 2024
    • Jul '19: Critical reflections on visualization authoring systems at VIS'19
    • Feb '19: Four papers accepted at ACM CHI 2024
    • Jul '18: Two papers at IEEE VIS 2018: Elastic Documents (InfoVis) and Querying+Pattern Mining on Event Sequences (VAST)
    • Feb '18: Our paper on Data Illustrator wins a Best Paper Award at CHI 2018.
    • Jan '18: Two CHI papers on visualization authoring and frames & slants in visualization titles.

    cnrocket打不开了-outline

    • Oct '19, VIS, Vancouver
    • May '19, CHI, Scotland
    • Feb '19, Adobe Tech Summit, San Francisco
    • Oct '18, VIS, Berlin
    • Apr '18, CHI, Montreal
    • Feb '18, China
    • Jan '18, Shonan Meeting, Japan
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