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| 1 | ECharts: A declarative framework for rapid construction of web-based visualization显示文摘While there have been a dozen of authoring systems and programming toolkits for visual design and development,users who do not have programming skills,such as data analysts or interface designers,still may feel cumbersome to efficiently implement a web-based visualization.In this paper,we present ECharts,an open-sourced,web-based,cross-platform framework that supports the rapid construction of interactive visualization.The motivation is driven by three goals:easy-touse,rich built-in interactions,and high performance.The kernel of ECharts is a suite of declarative visual design language that customizes built-in chart types.The underlying streaming architecture,together with a high-performance graphics renderer based on HTML5 canvas,enables the high expandability and performance of ECharts.We report the design,implementation,and applications of ECharts with a diverse variety of examples.We compare the utility and performance of ECharts with C3.js,HighCharts,and Chart.js.Results of the experiments demonstrate the efficiency and scalability of our framework.Since the first release in June 2013,ECharts has iterated 63 versions,and attracted over 22,000 star counts and over 1700 related projects in the GitHub.ECharts is regarded as a leading visualization development tool in the world,and ranks the third in the GitHub visualization tab. | Deqing Li Honghui Mei Yi Shen Shuang Su Wenli Zhang Junting Wang Ming Zu Wei Chen | 2018 | Visual Informatics2018，2，2： | 69 |
| 2 | VisComposer: A Visual Programmable Composition Environment for Information Visualization显示文摘As the amount of data being collected has increased,the need for tools that can enable the visual exploration of data has also grown.This has led to the development of a variety of widely used programming frameworks for information visualization.Unfortunately,such frameworks demand comprehensive visualization and coding skills and require users to develop visualization from scratch.An alternative is to create interactive visualization design environments that require lttle to no programming.However,these tools only supports a small portion of visual formns.We present a programmable integrated development environment(IDE),VisComposer,that supports the development of expressive visualization using a drag and-drop visual interface.Vis-Composer exposes the programmability by customizing desired components within a modular-ized visualization composition pipeline,effectively balancing the capability gap between expert coders and visualization artists.The implemented system empowers users to compose compre-bensive visualizations with real-time preview and optimization features,and supports prototyp-ing,sharing and reuse of the effects by means of an intuitive visual composer.Visual program-ming and textual programming integrated in our system allow users to compose more complex visual effects while retaining the simplicity of use.We demonstrate the performance of VisCom-poser with a variety of examples and an informal user evaluation. | Honghui Mei Wei Chen Yuxin Ma Huihua Guan Wanqi Hu | 2018 | Visual Informatics2018，2，1： | 4 |
| 3 | DataV:Data Visualization on large high-resolution displays显示文摘In recent years,the technology and applications of visualizations on large high-resolution displays(LHDs)have received widespread attention because of its perceptual benefits and improved productivity.However,existing work on LHD visualization lacks both comprehensive guidance for design requirements and tools developed for its specific usage scenarios.In this paper,we present the scenarios,design,and implementation of DataV,a Software-as-a-Service(SaaS)visual deployment tool that enables rapid construction and cross-platform publishing of interactive visualization on LHDs.Our framework can support rich components for the high-performance rendering of multisource heterogeneous data.DataV provides a full-fledged toolchain to help the user efficiently specify layout and interactions.We present its accessibility and impressive visual effects with examples and comparison with Tableau,Power BI,VisComposer,and iVisDesigner.We also report the performance of using DataV for 3D map rendering by comparing it with deck.gl. | Honghui Mei Huihua Guan Chengye Xin Xiao Wen Wei Chen | 2020 | Visual Informatics2020，4，3： | 3 |
| 4 | Enhanced genome editing to ameliorate a genetic metabolic liver disease through co-delivery of adeno-associated virus receptor显示文摘Genome editing through adeno-associated viral(AAV) vectors is a promising gene therapy strategy for various diseases,especially genetic disorders. However, homologous recombination(HR) efficiency is extremely low in adult animal models. We assumed that increasing AAV transduction efficiency could increase genome editing activity, especially HR efficiency, for in vivo gene therapy. Firstly, a mouse phenylketonuria(PKU) model carrying a pathogenic R408W mutation in phenylalanine hydroxylase(Pah) was generated. Through co-delivery of the general AAV receptor(AAVR), we found that AAVR could dramatically increase AAV transduction efficiency in vitro and in vivo. Furthermore, co-delivery of SaCas9/sgRNA/donor templates with AAVR via AAV8 vectors increased indel rate over 2-fold and HR rate over 15-fold for the correction of the single mutation in Pah;mice. Moreover, AAVR co-injection successfully increased the site-specific insertion rate of a 1.4 kb Pah cDNA by 11-fold, bringing the HR rate up to 7.3% without detectable global off-target effects. Insertion of Pah cDNA significantly decreased the Phe level and ameliorated PKU symptoms. This study demonstrates a novel strategy to dramatically increase AAV transduction which substantially enhanced in vivo genome editing efficiency in adult animal models, showing clinical potential for both conventional and genome editing-based gene therapy. | Shuming Yin Lie Ma Tingting Shao Mei Zhang Yuting Guan Liren Wang Yaqiang Hu Xi Chen Honghui Han Nan Shen Wenjuan Qiu Hongquan Geng Yongguo Yu Shichang Li Weishi Yu Mingyao Liu Dali Li | 2022 | Science China(Life Sciences)2022，65，4： | 0 |
| 5 | Visual Exploration of Differences Among DTI Fiber Models显示文摘In-vivo studies of fibrous structures require non-invasive tools, of which one is fiber tracking based on Diffusion tensor imaging(DTI) datasets. Different fiber models can be produced from different DTI images, which may vary from subject to subject due to variations in anatomy, motions in scanning, and signal noises. Additionally, parameters of the tracking method also have a great influence on resulting models. Illustrating, exploring, and analyzing differences among DTI fiber models are crucial for the purposes of group comparison,atlas construction, and uncertainty analysis. Conventional approaches illustrate fiber models in 3D space and explore differences either voxel-wisely or fiber-based. However, these approaches rely on accurate alignment processes and may easily be disturbed by visual clutters. We introduce a two-phase pro jection technique to illustrate a complex 3D fiber model with a unique 2D map to characterize features for further exploration and analysis. Moreover, regions of significant differences among the maps are marked out. In these 2D maps, differences can be easily distinguished without occlusions that often occur in 3D spaces. To facilitate comparative analysis from multiple perspectives, we design an interface for interactive exploration. The effectiveness of our approach is evaluated with two datasets. | MEI Honghui GUO Fangzhou CHEN Haidong CHEN Yi CHEN Wei | 2018 | Chinese Journal of Electronics2018，27，5： | 0 |
| 6 | COVID-19 data visualization public welfare activity显示文摘The coronavirus disease 2019(COVID-19)pandemic started in early 2020.At the beginning of February,a public welfare activity in epidemic data visualization,jointly launched by China Computer Federation(CCF)(CCF)CAD&CG Technical Committee,Alibaba Cloud Tianchi(Alibaba Cloud Tianch),JiqiZhixin(JiqiZhixin),Alibaba Cloud DataV(Alibaba Cloud DataV),and DataWhale(DataWhale),was launched with the theme‘‘Fighting the Epidemic with One Mind and Talents like Tianchi.’’Developers in general are expected to focus on several demand scenarios,such as epidemic situation display,epidemic popular science,trend prediction,material-supply situation,and rework and return situation of employees from all sectors and areas,to discover the relationship between complex heterogeneous multi-source data,develop various upbeat works and present useful information to the public in a coherent manner.The entry works take the form of data visualization and are divided into two categories:popular science publicity and application scenarios.The popular science publicity category includes works for the public,focused on epidemic situation display,epidemic popular science publicity,epidemic prevention and control,and others.The application scenario category consists of the works of frontline officers,which can provide anti-epidemic workers with effective data tools for efficient and intuitive epidemic analysis;offer reliable,understandable,and easily transmitted information for disease prevention;and assist governments,enterprises,and institutions in the fight against COVID-19. | Yiting Wang Ting Wang Ying Cui Honghui Mei Xiao Wen Jinzhi Lu Wei Chen | 2020 | Visual Informatics2020，4，3： | 0 |
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