Scholastic: Graphical Human-AI Collaboration for Inductive and Interpretive Text Analysis. - Matt-Heun Hong; Lauren A. Marsh; Jessica L. Feuston; Janet Ruppert; Jed R. Brubaker; Danielle Albers Szafir (UIST, 2022)

Scholastic: Graphical Human-Al Collaboration for Inductive and Interpretive Text Analysis. - Matt-Heun Hong; Lauren A. Marsh; Jessica L. Feuston; Janet Ruppert; Jed R. Brubaker; Danielle Albers Szafir (CoRR, 2022)

The Weighted Average Illusion: Biases in Perceived Mean Position in Scatterplots. - Matt-Heun Hong; Jessica K. Witt; Danielle Albers Szafir (IEEE Trans. Vis. Comput. Graph., 2022)

Conversational AI Threads for Visualizing Multidimensional Datasets. - Matt-Heun Hong; Anamaria Crisan (CoRR, 2023)

Cieran: Designing Sequential Colormaps via In-Situ Active Preference Learning. - Matt-Heun Hong; Zachary Nolan Sunberg; Danielle Albers Szafir (CHI, 2024)

Adaptive Data Visualization via Machine Learning from Human Feedback. - Matt-Heun Hong (2024)