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Explainable data transformation recommendation for automatic visualization

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Frontiers of Information Technology & Electronic Engineering 2023年第7期24卷 1007-1027页

作者： Ziliang WU Wei CHEN Yuxin MA Tong XU Fan YAN Lei LV Zhonghao QIAN jiazhi xia State Key Lab of CAD&CG Zhejiang UniversityHangzhou 310058China Department of Computer Science and Engineering Southern University of Science and TechnologyShenzhen 518055China School of Computer Science and Engineering Central South UniversityChangsha 410083China

Automatic visualization generates meaningful visualizations to support data analysis and pattern finding for novice or casual users who are not familiar with visualization design.Current automatic visualization approaches adopt mainly aggregation and filtering to extract patterns from the original data.However,these limited data transformations fail to capture complex patterns such as clusters and correlations.Although recent advances in feature engineering provide the potential for more kinds of automatic data transformations,the auto-generated transformations lack explainability concerning how patterns are connected with the original features.To tackle these challenges,we propose a novel explainable recommendation approach for extended kinds of data transformations in automatic visualization.We summarize the space of feasible data transformations and measures on explainability of transformation operations with a literature review and a pilot study,respectively.A recommendation algorithm is designed to compute optimal transformations,which can reveal specified types of patterns and maintain explainability.We demonstrate the effectiveness of our approach through two cases and a user study.

关键词： Data transformation Data transformation recommendation Automatic visualization Explainability

A survey of visual analytics techniques for machine learning

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Computational Visual Media 2021年第1期7卷 3-36页

作者： Jun Yuan Changjian Chen Weikai Yang Mengchen Liu jiazhi xia Shixia Liu BNRist Tsinghua UniversityBeijing 100086China Microsoft Redmond 98052USA Central South University Changsha 410083China

Visual analytics for machine learning has recently evolved as one of the most exciting areas in the field of visualization.To better identify which research topics are promising and to learn how to apply relevant techniques in visual analytics,we systematically review259 papers published in the last ten years together with representative works before 2010.We build a taxonomy,which includes three first-level categories:techniques before model building,techniques during modeling building,and techniques after model building.Each category is further characterized by representative analysis tasks,and each task is exemplified by a set of recent influential works.We also discuss and highlight research challenges and promising potential future research opportunities useful for visual analytics researchers.

关键词： visual analytics machine learning data quality feature selection model understanding content analysis

WaveLines:towards effective visualization and analysis of stability in power grid simulation

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Frontiers of Computer Science 2021年第6期15卷 19-30页

作者： Tianye ZHANG Qi WANG Liwen LIN jiazhi xia Xiwang XU Yanhao HUANG xiaonan LUO Wenting ZHENG Wei CHEN The state key lab of CAD&CG Zhejiang UniversityHangzhou 310058China School of Computer Science and Engineering Central South UniversityChangsha 410083China The State Key Lab of Power Grid Safety and Energy Conservation China Electric Power Research InstituteBeijing 100192China School of Computer Science and Information Security Guilin University of Electronic TechnologyGuilin 541004China

Closely related to the safety and stability of power grids,stability analysis has long been a core topic in the electric industry.Conventional approaches employ computational simulation to make the quantitative judgement of the grid stability under distinctive conditions.The lack of in-depth data analysis tools has led to the difficulty in analytical tasks such as situation-aware analysis,instability reasoning and pattern recognition.To facilitate visual exploration and reasoning on the simulation data,we introduce WaveLines,a visual analysis approach which supports the supervisory control of multivariate simulation time series of power grids.We design and implement an interactive system that supports a set of analytical tasks proposed by domain experts and experienced operators.Experiments have been conducted with domain experts to illustrate the usability and effectiveness of WaveLines.

关键词： stability visual analysis power grid simulation data

TVseer:A visual analytics system for television ratings

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Visual Informatics 2020年第3期4卷 1-11页

作者： xiaoyan Kui Huihao Lv Zhengliang Tang Haowen Zhou Wang Yang Jinqiu Li Jialin Guo jiazhi xia School of Computer Science and Engineering Central South UniversityChina School of Business Central South UniversityChina

The television ratings provide an effective way to analyze the popularity of TV programs and audiences’watching habits.Most previous studies have analyzed the ratings from a single perspective.Few efforts have integrated analysis from different perspectives and explored the reasons for changes in ratings.In this paper,we design a visual analysis system called TVseer to analyze audience ratings from three perspectives:TV channels,TV programs,and audiences.The system can help users explore the factors that affect ratings,and assist them in decisions about program productions and schedules.There are six linked views in TVseer:the channel ratings view and program ratings view show ratings change information from the perspective of TV channels and programs respectively;the overlapping program competition view and the same-type program competition view indicate the competitive relationships among programs;the audience transfer view shows how audiences are moving among different channels;the audience group view displays audience groups based on their watching behavior.Besides,we also construct case studies and expert interviews to prove our system is useful and effective.

关键词： Visualization in television Ratings analysis Time series data Visual analytics

Effect of focal adhesion kinase on cytoskeletal arrangement of HepG2 cells induced by hypoxia

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The Chinese-German Journal of Clinical Oncology 2009年第3期8卷 129-133页

作者： Wei Yan Yu Fu jiazhi Liao Limin xia Min Luo Qian Zhu Dean Tian Department of Gastroenterology Tongji Hospital Tongji Medical College Huazhong University of Science andTechnology Wuhan 430030 China

对在 hypoxic HepG2 房间和 HepG2 房间的细胞骨架安排上的 FAK siRNA 的效果的焦点的粘附 kinase (FAK ) 表示由组织缺氧导致了的学习客观。方法 HepG2 房间在 21% O 2 和 1% O 2 是有教养的。词法变化在组织缺氧处理以后被观察。西方... 详细信息

对在 hypoxic HepG2 房间和 HepG2 房间的细胞骨架安排上的 FAK siRNA 的效果的焦点的粘附 kinase (FAK ) 表示由组织缺氧导致了的学习客观。方法 HepG2 房间在 21% O 2 和 1% O 2 是有教养的。词法变化在组织缺氧处理以后被观察。西方的污点被用来测量 FAK 表示。指向 FAK 和向量 pGensil-2 的 mRNA 的 siRNA 表示向量 pshRNA-FAK (作为控制) 被构造，然后 transfected 进 HepG2 房间。西方的污点被用来检测 FAK。有组织缺氧导致的 pshRNA-FAK 的 HepG2 房间 transfected 的细胞骨架安排被 phalloidin 分析。有组织缺氧导致的 pshRNA-FAK 的 HepG2 房间 transfected 的迁移的能力被房间迁居试金分析。结果对待组织缺氧的房间与房间分开的大度显示了更多的伸长的形状。FAK 表示在 hypoxic HepG2 房间增加了。FAK 蛋白质水平被 75.64% ±减少 3.12%(P 2 被禁止。当房间移植试金出现了，有 pshRNA-FAK 的 HepG 房间 transfected 的移居的数字比控制的显著地低(P < 0.05 ) 。在 hypoxic HCC 的 FAK 的表示可能有一种靠近的关系到 HepG2 房间的细胞骨架安排的结论由组织缺氧导致了。FAK 表示的起来规定可以是细胞骨架安排的机制和组织缺氧导致的 hepatocellular 癌的侵略之一。

关键词： HepG2细胞粘着斑激酶缺氧诱导细胞骨架 Western印迹细胞转染 siRNA 细胞迁移

玻璃网络结构对CsPbI_(3)钙钛矿量子点玻璃光学性质的影响

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硅酸盐学报 2022年第4期50卷 975-982页

作者：严金华夏家志陈涛满涛许周速刘小峰张航邱建荣浙江工业大学光电子智能化技术研究所杭州310023 浙江大学光电科学与工程学院杭州310027 浙江大学材料科学与工程学院杭州310027

采用高温熔融-热处理技术,以Cs_(2)O、PbI_(2)和NaI为CsPbI_(3)量子点前驱体,制备了CsPbI_(3)量子点掺杂硼硅酸盐玻璃。X射线衍射和透射电镜观察表明,在玻璃内部析出了CsPbI_(3)量子点。随热处理温度上升或B_(2)O_(3)含量的增加,发光峰... 详细信息

采用高温熔融-热处理技术,以Cs_(2)O、PbI_(2)和NaI为CsPbI_(3)量子点前驱体,制备了CsPbI_(3)量子点掺杂硼硅酸盐玻璃。X射线衍射和透射电镜观察表明,在玻璃内部析出了CsPbI_(3)量子点。随热处理温度上升或B_(2)O_(3)含量的增加,发光峰和吸收边出现红移,荧光强度和量子产率先增大后减小,量子点的荧光衰减寿命逐渐增长。进一步分析表明,随着B_(2)O_(3)含量增大,玻璃中二维(2D)网络结构增多,Cs^(+)、Pb^(2+)和I-移动能力增强,有利于CsPbI_(3)量子点析出和表面缺陷钝化。CsPbI_(3)量子点掺杂硼硅酸盐玻璃的可调谐红光发射,在可见波段激光器和白光LED等领域具有潜在应用。

关键词：量子点玻璃网络结构硼硅酸盐玻璃析晶

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基于视频序列的平面海报生成方法

计算机辅助设计与图形学学报 2009年第5期21卷 644-649页

作者：于洋夏佳志郑科陈为彭群生浙江大学CAD＆CG国家重点实验室杭州310058 Department of Computer Science and Engineering University of Washington Seattle WA 98195-2350 USA

视频摘要是海量视频浏览的重要手段,现有的方法一般生成短帧视频或多帧序列图像以概括原视频,但它们都受限于原有时间序列,难以高效地表达信息.为此,提出了一种视频海报的自动生成方法来制作更为精练的视频摘要.如何提取视频中的关键画... 详细信息

视频摘要是海量视频浏览的重要手段,现有的方法一般生成短帧视频或多帧序列图像以概括原视频,但它们都受限于原有时间序列,难以高效地表达信息.为此,提出了一种视频海报的自动生成方法来制作更为精练的视频摘要.如何提取视频中的关键画面与如何实现海报自动排版是其中的2个核心问题.对现有的视频关键帧提取方法进行扩展,采用综合视觉关注度模型,提出了基于视觉重要性的关键帧排序算法;在现有排版规则基础上,增加了版面位置对视觉心理感知的影响,设计出位置重要性驱动的视频海报自动排版算法.实验结果证明了文中算法的有效性.

关键词：视频摘要视频海报自动排版视觉关注度模型

CsPbX_(3)钙钛矿量子点玻璃的光学性能调控及应用研究进展

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激光与光电子学进展 2022年第15期59卷 104-115页

作者：许周速夏家志刘小峰邱建荣浙江工业大学光电子智能化技术研究所浙江杭州310023 浙江大学材料科学与工程学院浙江杭州310027 浙江大学光电科学与工程学院浙江杭州310027

钙钛矿量子点玻璃具有优异的光学性能和良好的稳定性,在固态照明、背光显示和防伪等光电领域有着广泛应用前景。本文介绍了近年来钙钛矿量子点玻璃的制备工艺,重点阐述了通过玻璃网络结构调控和金属离子掺杂优化钙钛矿量子点玻璃的光学... 详细信息

钙钛矿量子点玻璃具有优异的光学性能和良好的稳定性,在固态照明、背光显示和防伪等光电领域有着广泛应用前景。本文介绍了近年来钙钛矿量子点玻璃的制备工艺,重点阐述了通过玻璃网络结构调控和金属离子掺杂优化钙钛矿量子点玻璃的光学性能,并概述了钙钛矿量子点玻璃在防伪、光存储和照明等领域的应用。

关键词：材料钙钛矿量子点玻璃网络结构光学性能调控

一种基于子空间聚类的局部相关性可视分析方法

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计算机辅助设计与图形学学报 2016年第11期28卷 1855-1862页

作者：夏佳志张亚伟张健蒋广李瑞陈为中南大学信息科学与工程学院长沙410083 浙江大学CAD&CG国家重点实验室杭州310058

数据子集局部存在的维度相关性往往被数据集全体所掩盖.为了发现有意义的数据子集,并揭示其表达的维度局部相关性,提出一种局部相关性可视分析方法.首先采用基于测地距离和局部子空间距离的二维散点图揭示子空间聚类模式;然后基于近似... 详细信息

数据子集局部存在的维度相关性往往被数据集全体所掩盖.为了发现有意义的数据子集,并揭示其表达的维度局部相关性,提出一种局部相关性可视分析方法.首先采用基于测地距离和局部子空间距离的二维散点图揭示子空间聚类模式;然后基于近似覆盖面积和平均距离进行相关显著性估计,给出可能具有局部相关性的二维子空间推荐;最后实现了可视分析系统,并通过案例分析验证了可视分析系统的有效性.

关键词：维度相关性子空间聚类可视分析高维数据