Jay Wang | Machine Learning + Visualization Researcher
Zijie Jay Wang is a safety researcher at OpenAI researching the intersection of machine learning and information visualization.
https://zijie.wang/Reader - page text saved at the timeZijie Jay Wang
Hi, I'm Jay. I'm a safety researcher at OpenAI.
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 received my ML PhD from Georgia Tech, advised by Polo Chau, with support from Apple and J.P. Morgan fellowships, and honored as a Forbes 30 Under 30 in Science.
Say Hello
Notes
CV
News
Dec. 6, 2024
Super honored to be named to Forbes 30 Under 30 in Science this year! 🔬
Aug. 13, 2024
I'm thrilled to begin my first full-time role as a safety researcher at OpenAI. I have also moved to San Francisco! 🌉
July 26, 2024
I have successfully defended my PhD thesis! Huge thanks to my incredible committee members: Polo Chau, Judy Hoffman, Munmun De Choudhury, Lauren Wilcox, Jenn Wortman Vaughan, and Rich Caruana!! 🎓
July 10, 2024
I will attend SIGIR'24 in DC to present MeMemo, a JavaScript library that enables vector search and vector database in web browsers. MeMemo won the Best Short Paper, Honorable Mention Award! Let's meet up! 🏛️
April 25, 2024
Farsight is recognized with a Best Paper, Honorable Mention award at CHI 2024! I will attend CHI in Honolulu. Let's meet up! 🌊
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Featured Publications
MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation
Zijie J. Wang, Duen Horng (Polo) Chau
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024
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Poster
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166
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Best Short Paper Award, Honorable Mention
Farsight: Fostering Responsible AI Awareness During AI Application Prototyping
Zijie J. Wang, Chinmay Kulkarni, Lauren Wilcox, Michael Terry, Michael Madaio
CHI Conference on Human Factors in Computing Systems (CHI), 2024
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28
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Best Paper Award, Honorable Mention
Wordflow: Social Prompt Engineering for Large Language Models
Zijie J. Wang, Aishwarya Chakravarthy, David Munechika, Duen Horng (Polo) Chau
Annual Meeting of the Association for Computational Linguistics (ACL Demo), 2024
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269
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Went Viral
SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks
Zijie J. Wang, David Munechika, Seongmin Lee, Duen Horng (Polo) Chau
Extended Abstracts on ACM Human Factors in Computing Systems (CHI), 2024
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67
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WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings
Zijie J. Wang, Fred Hohman, Duen Horng (Polo) Chau
Annual Meeting of the Association for Computational Linguistics (ACL Demo), 2023
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533
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Went Viral
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models
Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, Duen Horng (Polo) Chau
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
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Data
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1389
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Best Paper Award, Honorable Mention
Oral Presentation
Went Viral
GAM Coach: Towards Interactive and User-centered Algorithmic Recourse
Zijie J. Wang, Jennifer Wortman Vaughan, Rich Caruana, Duen Horng (Polo) Chau
CHI Conference on Human Factors in Computing Systems (CHI), 2023
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20
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Angler: Helping Machine Translation Practitioners Prioritize Model Improvements
Samantha Robertson*, Zijie J. Wang*, Dominik Moritz, Mary Beth Kery, Fred Hohman
(*Authors contributed equally)
CHI Conference on Human Factors in Computing Systems (CHI), 2023
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67
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WebSHAP: Towards Explaining Any Machine Learning Models Anywhere
Zijie J. Wang, Duen Horng (Polo) Chau
Companion Proceedings of the Web Conference (TheWebConf Demo), 2023
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68
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Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values
Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark Nunnally, Duen Horng (Polo) Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2022
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131
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Preliminary version received a Best Paper Award
TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization
Zijie J. Wang, Chudi Zhong, Rui Xin, Takuya Takagi, Zhi Chen, Duen Horng (Polo) Chau, Cynthia Rudin, Margo Seltzer
IEEE Visualization Conference (VIS), 2022
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169
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BibTeX
StickyLand: Breaking the Linear Presentation of Computational Notebooks
Zijie J. Wang, Katie Dai, W. Keith Edwards
Extended Abstracts on ACM Human Factors in Computing Systems (CHI), 2022
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Poster
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569
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Went Viral
NOVA: A Practical Method for Creating Notebook-Ready Visual Analytics
Zijie J. Wang, David Munechika, Seongmin Lee, Duen Horng (Polo) Chau
IEEE Visualization Conference (VIS Poster), 2022
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Poster
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32
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BibTeX
Dodrio: Exploring Transformer Models with Interactive Visualization
Zijie J. Wang, Robert Turko, Duen Horng (Polo) Chau
Annual Meeting of the Association for Computational Linguistics (ACL Demo), 2021
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375
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CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng (Polo) Chau
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
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8998
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Top of GitHub Trending
Selected Top Paper to Present at SIGGRAPH'21
Putting Humans in the Natural Language Processing Loop: A Survey
Zijie J. Wang*, Dongjin Choi*, Shenyu Xu*, Diyi Yang
(*Authors contributed equally)
EACL Workshop on Bridging Human–Computer Interaction and Natural Language Processing (HCI+NLP), 2021
Project
PDF
Poster
BibTeX
A Comparative Analysis of Industry Human-AI Interaction Guidelines
Austin P. Wright, Zijie J. Wang, Haekyu Park, Grace Guo, Fabian Sperrle, Mennatallah El-Assady, Alex Endert, Daniel Keim, Duen Horng (Polo) Chau
IEEE Visualization Conference, Workshop on Trust and Expertise in Visual Analytics (TREX), 2020
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Fun Projects
RecRec: Interactive recommender for recommendation letter writers, such as for tenure package and green card petition.
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34
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Clip2imgur: Convenient macOS command line tool for uploading screen-shots from the clipboard to Imgur.
Code
Featured on Imgur
FaceData: MacOS GUI to auto-annotate facial landmarks from a video. Landmarks can be used to train GANs.
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82
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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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Demo
Group Assignment Problem: Flexible and robust Mixed Integer Quadratic Programming model written in Julia to solve a real-life optimization problem.
Code
Demo
Best project
Dean's list Vis: Interactive geo-visualization to explore where UW–Madison Chinese students are from.
Code
Demo