Ashley Suh

According to our database, Ashley Suh authored at least 23 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

The Role of Visualization in LLM-Assisted Knowledge Graph Systems: Effects on User Trust, Exploration, and Workflows.

Harry Li, Gabriel Appleby, Kenneth Alperin, Steven R. Gomez, Ashley Suh

CoRR, May, 2025

Don't Just Translate, Agitate: Using Large Language Models as Devil's Advocates for AI Explanations.

Ashley Suh, Kenneth Alperin, Harry Li, Steven R. Gomez

CoRR, April, 2025

Mitigating LLM Hallucinations with Knowledge Graphs: A Case Study.

Harry Li, Gabriel Appleby, Kenneth Alperin, Steven R. Gomez, Ashley Suh

CoRR, April, 2025

Fewer Than 1% of Explainable AI Papers Validate Explainability with Humans.

Ashley Suh, Isabelle Hurley, Nora Smith, Ho Chit Siu

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

2024

Preliminary Guidelines for Combining Data Integration and Visual Data Analysis.

Adam Coscia, Ashley Suh, Remco Chang, Alex Endert

IEEE Trans. Vis. Comput. Graph., October, 2024

Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts.

Ashley Suh, Gabriel Appleby, Erik W. Anderson, Luca A. Finelli, Remco Chang, Dylan Cashman

IEEE Trans. Vis. Comput. Graph., July, 2024

Knowledge Graphs in Practice: Characterizing their Users, Challenges, and Visualization Opportunities.

Harry X. Li, Gabriel Appleby, Camelia Daniela Brumar, Remco Chang, Ashley Suh

IEEE Trans. Vis. Comput. Graph., January, 2024

More Questions than Answers? Lessons from Integrating Explainable AI into a Cyber-AI Tool.

Ashley Suh, Harry Li, Caitlin Kenney, Kenneth Alperin, Steven R. Gomez

CoRR, 2024

LinkQ: An LLM-Assisted Visual Interface for Knowledge Graph Question-Answering.

Harry X. Li, Gabriel Appleby, Ashley Suh

CoRR, 2024

A Preliminary Roadmap for LLMs as Assistants in Exploring, Analyzing, and Visualizing Knowledge Graphs.

Harry X. Li, Gabriel Appleby, Ashley Suh

CoRR, 2024

LinkQ: An LLM-Assisted Visual Interface for Knowledge Graph Question-Answering.

Harry Li, Gabriel Appleby, Ashley Suh

Proceedings of the IEEE Visualization and Visual Analytics, 2024

STL: Still Tricky Logic (for System Validation, Even When Showing Your Work).

Isabelle Hurley, Rohan Paleja, Ashley Suh, Jaime Daniel Peña, Ho Chit Siu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data.

Mateus Espadoto, Gabriel Appleby, Ashley Suh, Dylan Cashman, Mingwei Li, Carlos Scheidegger, Erik W. Anderson, Remco Chang, Alexandru C. Telea

IEEE Trans. Vis. Comput. Graph., 2023

Characterizing the Users, Challenges, and Visualization Needs of Knowledge Graphs in Practice.

Harry X. Li, Gabriel Appleby, Camelia Daniela Brumar, Remco Chang, Ashley Suh

CoRR, 2023

Visual Validation versus Visual Estimation: A Study on the Average Value in Scatterplots.

Daniel Braun, Ashley Suh, Remco Chang, Michael Gleicher, Tatiana von Landesberger

Proceedings of the 2023 IEEE Visualization and Visual Analytics (VIS), 2023

2022

Analysis Without Data: Teaching Students to Tackle the VAST Challenge.

Edward W. He, Daniel Tolessa, Ashley Suh, Remco Chang

CoRR, 2022

Visualization Guidelines for Model Performance Communication Between Data Scientists and Subject Matter Experts.

Ashley Suh, Gabriel Appleby, Erik W. Anderson, Luca A. Finelli, Remco Chang, Dylan Cashman

CoRR, 2022

A Grammar for Hypothesis-Driven Visual Analysis.

Ashley Suh, Yilan Jiang, Abigail Mosca, Eugene Wu, Remco Chang

CoRR, 2022

Inferential Tasks as an Evaluation Technique for Visualization.

Ashley Suh, Abigail Mosca, Shannon Robinson, Quinn Pham, Dylan Cashman, Alvitta Ottley, Remco Chang

Proceedings of the 24th Eurographics Conference on Visualization, 2022

2021

Communicating Performance of Regression Models Using Visualization in Pharmacovigilance.

Ashley Suh, Gabriel Appleby, Erik W. Anderson, Luca A. Finelli, Dylan Cashman

Proceedings of the IEEE Workshop on Visual Analytics in Healthcare, 2021

2020

Persistent Homology Guided Force-Directed Graph Layouts.

Ashley Suh, Mustafa Hajij, Bei Wang, Carlos Scheidegger, Paul Rosen

IEEE Trans. Vis. Comput. Graph., 2020

TopoLines: Topological Smoothing for Line Charts.

Paul Rosen, Ashley Suh, Christopher Salgado, Mustafa Hajij

Proceedings of the 22nd Eurographics Conference on Visualization, 2020

2017

Driving Interactive Graph Exploration Using 0-Dimensional Persistent Homology Features.

Ashley Suh, Mustafa Hajij, Bei Wang, Carlos Scheidegger, Paul Rosen

CoRR, 2017