Grace Guo

Orcid: 0000-0001-8733-6268

Affiliations:
  • Harvard University, SEAS, Allston, MA, USA
  • Georgia Institute of Technology, Atlanta, GA, USA (PhD 2024)


According to our database1, Grace Guo authored at least 15 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2025
More Like Vis, Less Like Vis: Comparing Interactions for Integrating User Preferences Into Partial Specification Recommenders.
IEEE Trans. Vis. Comput. Graph., 2025

Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models.
Trans. Mach. Learn. Res., 2025

The State of Single-Cell Atlas Data Visualization in the Biological Literature.
IEEE Computer Graphics and Applications, 2025

2024
Understanding Graphical Perception in Data Visualization through Zero-shot Prompting of Vision-Language Models.
CoRR, 2024

Explainability in JupyterLab and Beyond: Interactive XAI Systems for Integrated and Collaborative Workflows.
CoRR, 2024

Situating Data Sets: Making Public Data Actionable for Housing Justice.
CoRR, 2024

MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Situating Datasets: Making Public Eviction Data Actionable for Housing Justice.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

What We Augment When We Augment Visualizations: A Design Elicitation Study of How We Visually Express Data Relationships.
Proceedings of the 2024 International Conference on Advanced Visual Interfaces, 2024

Visualizing Intelligent Tutor Interactions for Responsive Pedagogy.
Proceedings of the 2024 International Conference on Advanced Visual Interfaces, 2024

2023
Causalvis: Visualizations for Causal Inference.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2021
A Survey of Human-Centered Evaluations in Human-Centered Machine Learning.
Comput. Graph. Forum, 2021

VAINE: Visualization and AI for Natural Experiments.
Proceedings of the 2021 IEEE Visualization Conference, 2021

2020
A Comparative Analysis of Industry Human-AI Interaction Guidelines.
CoRR, 2020

Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations.
CoRR, 2020


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