I'm Jay Wang, a Machine Learning PhD student at Georgia
Tech. I design, code, research, and write.
My work 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 love open source. I lead and maintain the following open-source research
projects on GitHub. ⬇️
Please reach out if you have any questions or want to chat!
Farsight: In situ intelligent widgets for responsible AI! (CHI'24)
14
SuperNOVA: Design strategies for notebook visualization tools (CHI'24)
56
Wordflow: Social and customizable AI writing assistant! (arXiv'24)
156
WizMap: Explore and interpret millions of embeddings in your browser! (ACL'23)
382
DiffusionDB: Large-scale prompt gallery dataset for image generative models (ACL'23)
1139
WebSHAP: Explain any ML models anywhere! (TheWebConf'23)
48
GAM Coach: Personal coach to help you obtain desired AI decisions! (CHI'23)
16
Angler: Prioritize ML model improvements with interactive visualizations (CHI'23)
59
TimberTrek: Curate decision trees that align with human values! (VIS'22)
127
NOVA: Easy way to create notebook-ready visual analytics tools (VIS Poster'22)
26
GAM Changer: Edit ML models to reflect human knowledge and values (KDD'22)
115
StickyLand: Break the linear presentation of computational notebooks! (CHI'22)
506
Dodrio: Explore transformer models with interactive visualization (ACL'21)
332
CNN Explainer: Learn about CNNs with interactive visualization (TVCG'20)