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
Datasets of paper “Image-Based Aspect Ratio Selection” and "Is There a Robust Technique for Selecting Aspect Ratios in Line Charts?" from IEEE TVCG
(THIS PROJECT HAD BEEN ARCHIVED) Yet another constrained graph library
The source code of paper "Implicit Multidimensional Projection of Local Subspaces"
The implementation for paper Joint t-SNE for Comparable Projections of Multiple High-Dimensional Datasets.
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
Code and dataset of the paper "Improving the Robustness of Scagnostics" from IEEE InfoVis 2019.
The Shape COSEG Dataset
The source code of paper "SineStream: Improving the Readability of Streamgraphs by Minimizing Sine Illusion Effects"
Source code, data, analysis code of experiment for the paper "Force-directed graph layouts revisited: a new force based on the t-Distribution".
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