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Name: IDEAS Lab

Type: Organization

Bio: Our mission is to enhance people's ability to understand and communicate data through the design of automated visualization and visual analytics systems.

Location: Shandong University, Qingdao, China

Blog: https://ideaslab.wang

IDEAS Lab's Projects

aspect-ratio-selection icon aspect-ratio-selection

Datasets of paper “Image-Based Aspect Ratio Selection” and "Is There a Robust Technique for Selecting Aspect Ratios in Line Charts?" from IEEE TVCG

drimplicitvecxform icon drimplicitvecxform

The source code of paper "Implicit Multidimensional Projection of Local Subspaces"

joint_tsne icon joint_tsne

The implementation for paper Joint t-SNE for Comparable Projections of Multiple High-Dimensional Datasets.

recursivesubdivision-basedsampling icon recursivesubdivision-basedsampling

The implement of the algorithm proposed in our IEEE VIS 2019 technical paper, more infomation can be found in http://www.yunhaiwang.net/infoVis2019/scatterplot/index.html

rscag icon rscag

Code and dataset of the paper "Improving the Robustness of Scagnostics" from IEEE InfoVis 2019.

sinestream icon sinestream

The source code of paper "SineStream: Improving the Readability of Streamgraphs by Minimizing Sine Illusion Effects"

t-fdp icon t-fdp

Source code, data, analysis code of experiment for the paper "Force-directed graph layouts revisited: a new force based on the t-Distribution".

vectorized_stress_majorization icon vectorized_stress_majorization

Source code of our paper at IEEE InfoVis 2017. More info can be found at https://vislab.wang/post/revisiting-stress-majorization-as-a-unified-framework-for-interactive-constrained-graph-visualization

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