Quality-consciousness in Large-scale Content Distribution in the Internet. - Grace Guo (2004)

Examining Design-Centric Test Participants in Graphical Perception Experiments. - Grace Guo; Bianchi Dy; Nazim Ibrahim; Sam Conrad Joyce; Ate Poorthuis (EuroVis (Short Papers), 2020)

Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations. - Fabian Sperrle; Mennatallah El-Assady; Grace Guo; Duen Horng Chau; Alex Endert; Daniel A. Keim (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)

VAINE: Visualization and AI for Natural Experiments. - Grace Guo; Maria Glenski; ZhuanYi Shaw; Emily Saldanha; Alex Endert; Svitlana Volkova; Dustin Arendt (IEEE VIS (Short Papers), 2021)

A Survey of Human-Centered Evaluations in Human-Centered Machine Learning. - Fabian Sperrle; Mennatallah El-Assady; Grace Guo; Rita Borgo; Duen Horng Chau; Alex Endert; Daniel A. Keim (Comput. Graph. Forum, 2021)

Causalvis: Visualizations for Causal Inference. - Grace Guo; Ehud Karavani; Alex Endert; Bum Chul Kwon (CHI, 2023)

Visualizing Intelligent Tutor Interactions for Responsive Pedagogy. - Grace Guo; Aishwarya Mudgal Sunil Kumar; Adit Gupta; Adam Coscia; Christopher J. MacLellan; Alex Endert (AVI, 2024)

What We Augment When We Augment Visualizations: A Design Elicitation Study of How We Visually Express Data Relationships. - Grace Guo; John T. Stasko; Alex Endert (AVI, 2024)

Situating Datasets: Making Public Eviction Data Actionable for Housing Justice. - Anh-Ton Tran; Grace Guo; Jordan Taylor; Katsuki Andrew Chan; Elora Lee Raymond; Carl DiSalvo (CHI, 2024)

MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models. - Grace Guo; Lifu Deng; Animesh Tandon; Alex Endert; Bum Chul Kwon (FAccT, 2024)

Situating Data Sets: Making Public Data Actionable for Housing Justice. - Anh-Ton Tran; Grace Guo; Jordan Taylor; Katsuki Chan; Elora Raymond; Carl DiSalvo (CoRR, 2024)

Explainability in JupyterLab and Beyond: Interactive XAI Systems for Integrated and Collaborative Workflows. - Grace Guo; Dustin Arendt; Alex Endert (CoRR, 2024)

Understanding Graphical Perception in Data Visualization through Zero-shot Prompting of Vision-Language Models. - Grace Guo; Jenna Jiayi Kang; Raj Sanjay Shah; Hanspeter Pfister; Sashank Varma (CoRR, 2024)

Augmenting Visualizations with Statistical and User-Defined Data Facts. - Grace Guo (2024)

Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models. - Salma Abdel Magid; Weiwei Pan; Simon Warchol; Grace Guo; Junsik Kim 001; Mahia Rahman; Hanspeter Pfister (Trans. Mach. Learn. Res., 2025)