The nuclear network: multiplex network analysis for interconnected systems. - Bethany L. Goldblum; Andrew W. Reddie; Thomas C. Hickey; James E. Bevins; Sarah Laderman; Nathaniel Mahowald; Austin P. Wright; Elie Katzenson; Yara Mubarak (Appl. Netw. Sci., 2019)

RECAST: Interactive Auditing of Automatic Toxicity Detection Models. - Austin P. Wright; Omar Shaikh; Haekyu Park; Will Epperson; Muhammed Ahmed; Stephane Pinel; Diyi Yang; Duen Horng Chau (CCHI, 2020)

Comparison of Syntactic and Semantic Representations of Programs in Neural Embeddings. - Austin P. Wright; Herbert Wiklicky (CoRR, 2020)

PeopleMap: Visualization Tool for Mapping Out Researchers using Natural Language Processing. - Jon Saad-Falcon; Omar Shaikh; Zijie J. Wang; Austin P. Wright; Sasha Richardson; Duen Horng Chau (CoRR, 2020)

Mapping Researchers with PeopleMap. - Jon Saad-Falcon; Omar Shaikh; Zijie J. Wang; Austin P. Wright; Sasha Richardson; Duen Horng Chau (CoRR, 2020)

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 A. Keim; Duen Horng Chau (CoRR, 2020)

EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models. - Omar Shaikh; Jon Saad-Falcon; Austin P. Wright; Nilaksh Das; Scott Freitas; Omar Isaac Asensio; Duen Horng Chau (CHI Extended Abstracts, 2021)

Quantifying the Impact of Human Capital, Job History, and Language Factors on Job Seniority with a Large-scale Analysis of Resumes. - Austin P. Wright; Caleb Ziems; Haekyu Park; Jon Saad-Falcon; Duen Horng Chau; Diyi Yang; Maria Tomprou (CoRR, 2021)

Detection of emerging drugs involved in overdose via diachronic word embeddings of substances discussed on social media. - Austin P. Wright; Christopher M. Jones; Duen Horng Chau; R. Matthew Gladden; Steven A. Sumner (J. Biomed. Informatics, 2021)

RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization. - Austin P. Wright; Omar Shaikh; Haekyu Park; Will Epperson; Muhammed Ahmed; Stephane Pinel; Duen Horng (Polo) Chau; Diyi Yang (Proc. ACM Hum. Comput. Interact., 2021)

ConceptEvo: Interpreting Concept Evolution in Deep Learning Training. - Haekyu Park; Seongmin Lee 007; Benjamin Hoover; Austin P. Wright; Omar Shaikh; Rahul Duggal; Nilaksh Das; Judy Hoffman; Duen Horng Chau (CoRR, 2022)

NeuroMapper: In-browser Visualizer for Neural Network Training. - Zhiyan Zhou; Kevin Li; Haekyu Park; Megan Dass; Austin P. Wright; Nilaksh Das; Duen Horng Chau (CoRR, 2022)

NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. - Haekyu Park; Nilaksh Das; Rahul Duggal; Austin P. Wright; Omar Shaikh; Fred Hohman; Duen Horng (Polo) Chau (IEEE Trans. Vis. Comput. Graph., 2022)

Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. - Haekyu Park; Seongmin Lee 007; Benjamin Hoover; Austin P. Wright; Omar Shaikh; Rahul Duggal; Nilaksh Das; Kevin Li; Judy Hoffman; Duen Horng Chau (CIKM, 2023)

Lessons from the Development of an Anomaly Detection Interface on the Mars Perseverance Rover using the ISHMAP Framework. - Austin P. Wright; Peter Nemere; Adrian Galvin; Duen Horng Chau; Scott Davidoff (IUI, 2023)

Interactive Visual Learning for Stable Diffusion. - Seongmin Lee 007; Benjamin Hoover; Hendrik Strobelt; Zijie J. Wang; Shengyun Peng; Austin P. Wright; Kevin Li; Haekyu Park; Haoyang Yang; Duen Horng Chau (IJCAI, 2024)

Nested Fusion: A Method for Learning High Resolution Latent Structure of Multi-Scale Measurement Data on Mars. - Austin P. Wright; Scott Davidoff; Duen Horng Chau (KDD, 2024)

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion. - Seongmin Lee 007; Benjamin Hoover; Hendrik Strobelt; Zijie J. Wang; Shengyun Peng; Austin P. Wright; Kevin Li; Haekyu Park; Haoyang Yang; Duen Horng (Polo) Chau (IEEE VIS, 2024)