Zijie Jay Wang

Hi, I'm Jay. I'm a Machine Learning Ph.D. student in the College of Computing at Georgia Tech adviced by Polo Chau.

My research focuses on making AI more accessible, interpretable, and accountable, by designing and developing novel interactive interfaces for people to easily and enjoyably interact with machine learning systems at scale.

I recieved my B.S. from UW–Madison, where I worked closely with Anthony Gitter, Michael Gleicher, and Yu Hen Hu.

News
Aug. 29, 2020
Two papers, CNN Explainer and Bluff, are accepted for IEEE VIS 2020!
June 18, 2020
Started my first internship at Bosch (Sunnyvale) , working with Liang Gou on visual analytics for autonomous driving.
April 30, 2020
Posted CNN Explainer paper on arXiv. CNN Explainer an interactive tool that helps beginners learn CNNs. It is also open-sourced on GitHub.
Jan 15, 2020
Two papers, CNN 101 and Massif, are accepted for CHI 2020 Late-Breaking Works!
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Featured Publications
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Fun Projects
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Clip2imgur: Convenient macOS command line tool for uploading screen-shots from the clipboard to Imgur.
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FaceData: MacOS GUI to auto-annotate facial landmarks from a video. Landmarks can be used to train GANs.
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Graphics on the Web: Interactive 2D, 2.5D and 3D computational graphics with shaders and textures, created with HTML canvas and webGL.
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Group Assignment Problem: Flexible and robust Mixed Integer Quadratic Programming model written in Julia to solve a real-life optimization problem.
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Dean's list Vis: Interactive geo-visualization to explore where UW–Madison Chinese students are from.
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Yelp Sentiment: Predicting Yelp ratings based on text comments of restaurants at Madison Wisconsin.