Zijie (Jay) Wang

I am a machine learning Ph.D. student at Georgia Tech advised by Polo Chau.

CODA S1349F
jayw@gatech.edu
cv | twitter | google scholar

My research interests are interpretability, fairness and security of machine learning, visual analytics, and biomedical image analysis.

News

Aug. 2019
Submitted my first paper on bioRxiv. Check it out!
Apr. 2019
Apr. 2019
Excited to present my T-cell classification project as a poster in GLBIO '19.
Mar. 2019
I will join Polo Club at Georgia Tech CSE as a Machine Learning PhD student in fall 2019. Go sting 'em! 🐝

Research

My current research focuses on Human-Centered AI through interactive visualization. I got my B.S. from UW–Madison, where I worked on fluorescent cell image classification and drug discovery with Anthony Gitter.

Cell Image Classification

Advisor: Anthony Gitter, Dec. 2017 - Aug. 2019

Cell Painting and Drug Discovery

Advisor: Anthony Gitter, July 2018 - Aug. 2019

Video Object Tracking

Advisor: Yu Hen Hu, Feb. 2017 - Dec. 2017

Facial Reenactment

Advisor: Yu Hen Hu, June 2017 - Dec. 2017

Papers

Classifying T cell activity in autofluorescence intensity images with convolutional neural networks
Zijie J. Wang, Alex J. Walsh, Melissa C. Skala, Anthony Gitter. bioRxiv 2019.

Talks

Classifying T cell activity with convolutional neural networks
Zijie J. Wang, Alex J. Walsh, Melissa C. Skala, Anthony Gitter
In UW–Madison Senior Honors Thesis Symposium '19.

Posters

Classifying T cell activity with convolutional neural networks
Zijie J. Wang, Alex J. Walsh, Melissa C. Skala, Anthony Gitter
In ISCB GLBIO '19.

Using transfer learning to classify breast cancer cells with fluorescence imaging
Zijie J. Wang, Tiffany Heaster, Quan Yin, Alex J. Walsh, Melissa C. Skala, Anthony Gitter
In UW–Madison Undergraduate Symposium '18.

Selected Course Projects

Iteractive 2D, 2.5D and 3D computational graphics with shaders and textures, created by using HTML canvas and webGL.
Sentiment analysis: predicting Yelp ratings based on text comments of Madison restaurants. This project won the in-class Kaggle competition.
Flexible and robust Mixed Integer Quadratic Programming model written in Julia to solve a real-life group assignment problem. It won the best project.

Fun

Convenient macOS command line tool for uploading screen-shots from the clipboard to Imgur. This app is featured on the official Imgur website.
MacOS GUI used to auto-annotate facial landmarks from a video. These landmarks can further be used to train GANs.
Interactive geographic visualization for studying where UW–Madison Chinese undergraduates are from.