Yongsu Ahn
School of Computing and Information, University of Pittsburgh
Information Science Building 2B10
135 North Bellefield Avenue
Pittsburgh, PA 15260
Hello! my name is Yongsu Ahn. I’m a 5rd-year PhD Student in School of Computing and Information at University of Pittsburgh. I’m luckily advised by Dr. Yu-Ru Lin at PICSO Lab.
My research interest lies at the intersection of Visual analytics, Fair and Explainable AI, and Interactive machine learning. I’m studying how
AI-based tools will better assist the important decision makings and information use in our society. For
the heterogenous population users including data practioners, domain experts and lay users, I pursue AI
for everyone to develop and promote human-centered AI that is fair, interpretable, and responsible as a
viable tool.
News
| Nov, 2021 | Our team gave a talk in Year of Data and Society, "Grief to Action: Project Police Union Contacts". |
| Jan, 2021 | Our paper "PolicyFlow: Interpreting Policy Diffusion in Context" received the Best Paper Award for 2020 for ACM Transactions on Interactive Intelligent Systems! Read more about award and paper. |
| May, 2020 | I will be working as a research intern in Human-Machine Interaction team at Bosch. |
| Apr, 2019 | Two papers will be presented in IEEE VIS 2019, FairSight and FacIt. |
| Jun, 2018 | I gave a presentation and tutoral, "Visualizing Policy Diffusion in Context, Tutorial and Presentation" in 2018 State Politics and Policy Conference. |
Publications
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Tribe or Not? Critical Inspection of Group Differences Using TribalGram ACM Transactions on Interactive Intelligent Systems (TiiS 2021)
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PolicyFlow: Interpreting Policy Diffusion in Context Best Paper Award ACM Transactions on Interactive Intelligent Systems (TiiS 2020)
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Fairsight: Visual analytics for fairness in decision making [Code] IEEE transactions on visualization and computer graphics (TVCG 2019)
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FacIt: Factorizing Tensors into Interpretable and Scrutinizable Patterns IEEE Visualization Conference (VIS 2019)
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PolicyFlow: Interpreting Policy Diffusion in Context In ACM SIGKDD 2018 Workshop on Interactive Data Exploration and Analytics (IDEA 2018)