Yongsu Ahn

26 papers A* 2B 1Journal 18Unranked 5
YearRankTypeTitle / Venue / Authors
2026 A* conf
From Answer Givers to Design Mentors: Guiding LLMs with the Cognitive Apprenticeship Model.
CHI
Yongsu Ahn, Lejun R. Liao, Benjamin Bach, Nam Wook Kim
2026 J jnl
From Answer Givers to Design Mentors: Guiding LLMs with the Cognitive Apprenticeship Model.
CoRR
Yongsu Ahn, Lejun R. Liao, Benjamin Bach, Nam Wook Kim
2025 — conf
Climate Forecasting in the Metaverse using FedKAN for Lightweight Learning.
SNPD-Summer
Hyunsu Park, Junbeom Park, Yongsu Ahn, Minsu Kim, Jongsou Park
2025 J jnl
How Good Is ChatGPT in Giving Advice on Your Visualization Design?
ACM Trans. Comput. Hum. Interact.
Nam Wook Kim, Yongsu Ahn, Grace Myers, Benjamin Bach
2025 J jnl
Human-centered explanation does not fit all: The interplay of sociotechnical, cognitive, and individual factors in the effect AI explanations in algorithmic decision-making.
CoRR
Yongsu Ahn, Yu-Run Lin, Malihe Alikhani, Eunjeong Cheon
2025 J jnl
Understanding Why ChatGPT Outperforms Humans in Visualization Design Advice.
CoRR
Yongsu Ahn, Nam Wook Kim
2024 J jnl
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems.
ACM Trans. Intell. Syst. Technol.
Yongsu Ahn, Yu-Ru Lin
2024 — conf
Exploring Teachers' Perception of Artificial Intelligence: The Socio-emotional Deficiency as Opportunities and Challenges in Human-AI Complementarity in K-12 Education.
AIED (2)
Soon-young Oh, Yongsu Ahn
2024 J jnl
Exploring Teachers' Perception of Artificial Intelligence: The Socio-emotional Deficiency as Opportunities and Challenges in Human-AI Complementarity in K-12 Education.
CoRR
Soon-young Oh, Yongsu Ahn
2024 J jnl
Gender Bias in LLM-generated Interview Responses.
CoRR
Haein Kong, Yongsu Ahn, Sangyub Lee, Yunho Maeng
2024 — conf
Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systems.
VDS@VIS
Yongsu Ahn, Quinn K. Wolter, Jonilyn Dick, Janet Dick, Yu-Ru Lin
2024 J jnl
Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systems.
CoRR
Yongsu Ahn, Quinn K. Wolter, Jonilyn Dick, Janet Dick, Yu-Ru Lin
2024 J jnl
V: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven Decisions.
IEEE Trans. Vis. Comput. Graph.
Xian Teng, Yongsu Ahn, Yu-Ru Lin
2023 J jnl
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems.
CoRR
Yongsu Ahn, Yu-Ru Lin
2023 A* conf
ESCAPE: Countering Systematic Errors from Machine's Blind Spots via Interactive Visual Analysis.
CHI
Yongsu Ahn, Yu-Ru Lin, Panpan Xu, Zeng Dai
2023 J jnl
ESCAPE: Countering Systematic Errors from Machine's Blind Spots via Interactive Visual Analysis.
CoRR
Yongsu Ahn, Yu-Ru Lin, Panpan Xu, Zeng Dai
2023 B conf
HungerGist: An Interpretable Predictive Model for Food Insecurity.
IEEE Big Data
Yongsu Ahn, Muheng Yan, Yu-Ru Lin, Zian Wang
2023 J jnl
HungerGist: An Interpretable Predictive Model for Food Insecurity.
CoRR
Yongsu Ahn, Muheng Yan, Yu-Ru Lin, Zian Wang
2023 J jnl
Tribe or Not? Critical Inspection of Group Differences Using TribalGram.
CoRR
Yongsu Ahn, Muheng Yan, Yu-Ru Lin, Wen-Ting Chung, Rebecca Hwa
2023 J jnl
VISPUR: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven Decisions.
CoRR
Xian Teng, Yongsu Ahn, Yu-Ru Lin
2022 — conf
Improving Citizen-initiated Police Reform Efforts through Interactive Design: A Case Study in Allegheny County.
EAAMO
Yongsu Ahn, Eliana Beigel, Noah Braun, Collin Griffin, Sera Linardi, Blair Mickles, Emmaline Rial
2022 J jnl
Tribe or Not? Critical Inspection of Group Differences Using TribalGram.
ACM Trans. Interact. Intell. Syst.
Yongsu Ahn, Muheng Yan, Yu-Ru Lin, Wen-Ting Chung, Rebecca Hwa
2020 J jnl
FairSight: Visual Analytics for Fairness in Decision Making.
IEEE Trans. Vis. Comput. Graph.
Yongsu Ahn, Yu-Ru Lin
2020 J jnl
PolicyFlow: Interpreting Policy Diffusion in Context.
ACM Trans. Interact. Intell. Syst.
Yongsu Ahn, Yu-Ru Lin
2019 — conf
FacIt: Factorizing Tensors into Interpretable and Scrutinizable Patterns.
IEEE VIS (Short Papers)
Xidao Wen, Konstantinos Pelechrinis, Yu-Ru Lin, Xi Liu, Yongsu Ahn, Nan Cao
2019 J jnl
FairSight: Visual Analytics for Fairness in Decision Making.
CoRR
Yongsu Ahn, Yu-Ru Lin