Publications

Human Valuation of Explanations in Decision-Aids

Yongsu Ahn, Yu-Ru Lin, Malihe Alikhani, Eunjeong Cheon

In submission to CSCW 2024 | paper

Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems

Yongsu Ahn, Yu-Ru Lin

In submission to ACM TIST 2024 (ACM Transaction on Intelligent Systems and Technology) | paper

HungerGist: An Interpretable Predictive Model for Food Insecurity

Yongsu Ahn, Muheng Yan, Yu-Ru Lin, Zian Wang

IEEE BigData 2023 | paper

VISPUR: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven Decisions

Xian Teng, Yongsu Ahn, and Yu-Ru Lin

TVCG 2023 | paper

ESCAPE: Countering Systematic Errors from Machine’s Blind Spots via Interactive Visual Analysis

Yongsu Ahn, Yu-Ru Lin, Panpan Xu, and Zeng Dai

CHI 2023 | paper

Improving Citizen-initiated Police Reform Efforts through Interactive Design: A Case Study in Allegheny County

Yongsu Ahn, Eliana Beigel, Noah Braun, Collin Griffin, Sera Linardi, Blair Mickles, and Emmaline Rial

ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO 2022) | paper website

Tribe or Not? Critical Inspection of Group Differences Using TribalGram

Yongsu Ahn, Muheng Yan, Yu-Ru Lin, Wen-Ting Chung, and Rebecca Hwa

TiiS 2021 | paper

PolicyFlow: Interpreting Policy Diffusion in Context

Yongsu Ahn, and Yu-Ru Lin

TiiS 2020 | paper

FairSight: Visual analytics for fairness in decision making

Yongsu Ahn, and Yu-Ru Lin

TVCG 2019 | paper

FacIt: Factorizing Tensors into Interpretable and Scrutinizable Patterns

Xidao Wen, Yu-Ru Lin, Yongsu Ahn, Konstantinos Pelechrinis, Xi Liu, and Nan Cao

VIS 2019 | paper

PolicyFlow: Interpreting Policy Diffusion in Context

Yongsu Ahn, and Yu-Ru Lin

KDD 2018 Workshop on Interactive Data Exploration and Analytics (IDEA 2018) | paper code