Minsuk Kahng

87 papers A* 9A 3Journal 45Unranked 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
COMPASS: A Framework for Evaluating Organization-Specific Policy Alignment in LLMs.
CoRR
Dasol Choi, Donggeon Lee, Brigitta Jesica Kartono, Helena Berndt, Taeyoun Kwon, Joonwon Jang, Haon Park, Hwanjo Yu, Minsuk Kahng
2026 A* conf
Data-Prompt Co-Evolution: Growing Test Sets to Refine LLM Behavior.
CHI
Minjae Lee, Minsuk Kahng
2026 A* conf
Transformer Explainer: Learning LLM Transformers with Interactive Visual Explanation and Experimentation.
CHI
Aeree Cho, Grace C. Kim, Alexander Karpekov, Seongmin Lee, Alec Helbling, Benjamin Hoover, Zijie J. Wang, Minsuk Kahng, Duen Horng (Polo) Chau
2025 J jnl
Data-Model Co-Evolution: Growing Test Sets to Refine LLM Behavior.
CoRR
Minjae Lee, Minsuk Kahng
2025 J jnl
From Seed to Harvest: Augmenting Human Creativity with AI for Red-teaming Text-to-Image Models.
CoRR
Jessica Quaye, Charvi Rastogi, Alicia Parrish, Oana Inel, Minsuk Kahng, Lora Aroyo, Vijay Janapa Reddi
2025 — conf
LLM Adoption in Data Curation Workflows: Industry Practices and Insights.
CHI Extended Abstracts
Crystal Qian, Michael Xieyang Liu, Emily Reif, Grady Simon, Nada Hussein, Nathan Clement, James Wexler, Carrie J. Cai, Michael Terry, Minsuk Kahng
2025 A* conf
LLM Attributor: Interactive Visual Attribution for LLM Generation.
AAAI
Seongmin Lee, Zijie J. Wang, Aishwarya Chakravarthy, Alec Helbling, Shengyun Peng, Mansi Phute, Duen Horng (Polo) Chau, Minsuk Kahng
2025 J jnl
LLM Comparator: Interactive Analysis of Side-by-Side Evaluation of Large Language Models.
IEEE Trans. Vis. Comput. Graph.
Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, Krystal Kallarackal, Minsuk Chang, Michael Terry, Lucas Dixon
2025 J jnl
Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models.
CoRR
Lujain Ibrahim, Canfer Akbulut, Rasmi Elasmar, Charvi Rastogi, Minsuk Kahng, Meredith Ringel Morris, Kevin R. McKee, Verena Rieser, Murray Shanahan, Laura Weidinger
2025 J jnl
SAFEPATH: Preventing Harmful Reasoning in Chain-of-Thought via Early Alignment.
CoRR
Wonje Jeung, Sangyeon Yoon, Minsuk Kahng, Albert No
2025 J jnl
When Cars Have Stereotypes: Auditing Demographic Bias in Objects from Text-to-Image Models.
CoRR
Dasol Choi, Jihwan Lee, Minjae Lee, Minsuk Kahng
2024 — conf
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation.
FAccT
Jessica Quaye, Alicia Parrish, Oana Inel, Charvi Rastogi, Hannah Rose Kirk, Minsuk Kahng, Erin van Liemt, Max Bartolo, Jess Tsang, Justin White, Nathan Clement, Rafael Mosquera, Juan Ciro, Vijay Janapa Reddi, Lora Aroyo
2024 J jnl
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation.
CoRR
Jessica Quaye, Alicia Parrish, Oana Inel, Charvi Rastogi, Hannah Rose Kirk, Minsuk Kahng, Erin van Liemt, Max Bartolo, Jess Tsang, Justin White, Nathan Clement, Rafael Mosquera, Juan Ciro, Vijay Janapa Reddi, Lora Aroyo
2024 — conf
Automatic Histograms: Leveraging Language Models for Text Dataset Exploration.
CHI Extended Abstracts
Emily Reif, Crystal Qian, James Wexler, Minsuk Kahng
2024 J jnl
Automatic Histograms: Leveraging Language Models for Text Dataset Exploration.
CoRR
Emily Reif, Crystal Qian, James Wexler, Minsuk Kahng
2024 J jnl
Does the Infamous Pie Chart Really Hurt Decision-Making in the Real World? Assessing the Role of Visualization in High-Level Academic Decisions.
CoRR
Yixuan Li, Emery D. Berger, Minsuk Kahng, Cindy Xiong Bearfield
2024 J jnl
Interactive Prompt Debugging with Sequence Salience.
CoRR
Ian Tenney, Ryan Mullins, Bin Du, Shree Pandya, Minsuk Kahng, Lucas Dixon
2024 J jnl
LLM Attributor: Interactive Visual Attribution for LLM Generation.
CoRR
Seongmin Lee, Zijie J. Wang, Aishwarya Chakravarthy, Alec Helbling, Shengyun Peng, Mansi Phute, Duen Horng Chau, Minsuk Kahng
2024 — conf
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models.
CHI Extended Abstracts
Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, Krystal Kallarackal, Minsuk Chang, Michael Terry, Lucas Dixon
2024 J jnl
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models.
CoRR
Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, Krystal Kallarackal, Minsuk Chang, Michael Terry, Lucas Dixon
2024 J jnl
The Evolution of LLM Adoption in Industry Data Curation Practices.
CoRR
Crystal Qian, Michael Xieyang Liu, Emily Reif, Grady Simon, Nada Hussein, Nathan Clement, James Wexler, Carrie J. Cai, Michael Terry, Minsuk Kahng
2024 J jnl
Understanding the Dataset Practitioners Behind Large Language Model Development.
CoRR
Crystal Qian, Emily Reif, Minsuk Kahng
2024 — conf
Understanding the Dataset Practitioners Behind Large Language Models.
CHI Extended Abstracts
Crystal Qian, Emily Reif, Minsuk Kahng
2023 J jnl
DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps.
IEEE Trans. Vis. Comput. Graph.
Donald Bertucci, Md Montaser Hamid, Yashwanthi Anand, Anita Ruangrotsakun, Delyar Tabatabai, Melissa Perez, Minsuk Kahng
2023 — conf
VIVA: Visual Exploration and Analysis of Videos with Interactive Annotation.
IUI Companion
Anita Ruangrotsakun, Dayeon Oh, Thuy-Vy Nguyen, Kristina Lee, Mark Ser, Arthur Hiew, Rogers Ngo, Zeyad Shureih, Roli Khanna, Minsuk Kahng
2023 A* conf
VLSlice: Interactive Vision-and-Language Slice Discovery.
ICCV
Eric Slyman, Minsuk Kahng, Stefan Lee
2023 J jnl
VLSlice: Interactive Vision-and-Language Slice Discovery.
CoRR
Eric Slyman, Minsuk Kahng, Stefan Lee
2023 — conf
Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models.
IEEE VIS (Short Papers)
Emily Reif, Minsuk Kahng, Savvas Petridis
2023 J jnl
Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models.
CoRR
Emily Reif, Minsuk Kahng, Savvas Petridis
2022 J jnl
Beyond Value: CHECKLIST for Testing Inferences in Planning-Based RL.
CoRR
Kin-Ho Lam, Delyar Tabatabai, Jed Irvine, Donald Bertucci, Anita Ruangrotsakun, Minsuk Kahng, Alan Fern
2022 A* conf
Beyond Value: CheckList for Testing Inferences in Planning-Based RL.
ICAPS
Kin-Ho Lam, Delyar Tabatabai, Jed Irvine, Donald Bertucci, Anita Ruangrotsakun, Minsuk Kahng, Alan Fern
2022 J jnl
Finding AI's Faults with AAR/AI: An Empirical Study.
ACM Trans. Interact. Intell. Syst.
Roli Khanna, Jonathan Dodge, Andrew Anderson, Rupika Dikkala, Jed Irvine, Zeyad Shureih, Kin-Ho Lam, Caleb R. Matthews, Zhengxian Lin, Minsuk Kahng, Alan Fern, Margaret Burnett
2022 A* conf
FitVid: Responsive and Flexible Video Content Adaptation.
CHI
Jeongyeon Kim, Yubin Choi, Minsuk Kahng, Juho Kim
2022 J jnl
Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps.
CoRR
Donald Bertucci, Md Montaser Hamid, Yashwanthi Anand, Anita Ruangrotsakun, Delyar Tabatabai, Melissa Perez, Minsuk Kahng
2021 — conf
"Why did my AI agent lose?": Visual Analytics for Scaling Up After-Action Review.
IEEE VIS (Short Papers)
Delyar Tabatabai, Anita Ruangrotsakun, Jed Irvine, Jonathan Dodge, Zeyad Shureih, Kin-Ho Lam, Margaret Burnett, Alan Fern, Minsuk Kahng
2021 J jnl
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization.
IEEE Trans. Vis. Comput. Graph.
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng (Polo) Chau
2021 — conf
Contrastive Identification of Covariate Shift in Image Data.
IEEE VIS (Short Papers)
Matthew L. Olson, Thuy-Vy Nguyen, Gaurav Dixit, Neale Ratzlaff, Weng-Keen Wong, Minsuk Kahng
2021 J jnl
Contrastive Identification of Covariate Shift in Image Data.
CoRR
Matthew L. Olson, Thuy-Vy Nguyen, Gaurav Dixit, Neale Ratzlaff, Weng-Keen Wong, Minsuk Kahng
2021 — conf
Doing Remote Controlled Studies with Humans: Tales from the COVID Trenches.
CHASE@ICSE
Rupika Dikkala, Roli Khanna, Caleb R. Matthews, Jonathan Dodge, Sai Raja, Catherine Hu, Jed Irvine, Zeyad Shureih, Kin-Ho Lam, Andrew Anderson, Minsuk Kahng, Alan Fern, Margaret Burnett
2021 J jnl
From Heatmaps to Structural Explanations of Image Classifiers.
CoRR
Fuxin Li, Zhongang Qi, Saeed Khorram, Vivswan Shitole, Prasad Tadepalli, Minsuk Kahng, Alan Fern
2021 J jnl
Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations.
CoRR
Kin-Ho Lam, Zhengxian Lin, Jed Irvine, Jonathan Dodge, Zeyad T. Shureih, Roli Khanna, Minsuk Kahng, Alan Fern
2021 A* conf
One Explanation is Not Enough: Structured Attention Graphs for Image Classification.
NeurIPS
Vivswan Shitole, Fuxin Li, Minsuk Kahng, Prasad Tadepalli, Alan Fern
2020 — conf
CNN 101: Interactive Visual Learning for Convolutional Neural Networks.
CHI Extended Abstracts
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
2020 J jnl
CNN 101: Interactive Visual Learning for Convolutional Neural Networks.
CoRR
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
2020 J jnl
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization.
CoRR
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
2020 — conf
How Does Visualization Help People Learn Deep Learning? Evaluating GAN Lab with Observational Study and Log Analysis.
IEEE VIS (Short Papers)
Minsuk Kahng, Duen Horng (Polo) Chau
2020 — —
Human-Centered AI through Scalable Visual Data Analytics.
Minsuk Kahng
2020 J jnl
Structured Attention Graphs for Understanding Deep Image Classifications.
CoRR
Vivswan Shitole, Fuxin Li, Minsuk Kahng, Prasad Tadepalli, Alan Fern
2019 — conf
FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning.
VAST
Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau
2019 J jnl
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning.
CoRR
Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau
2019 J jnl
GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation.
IEEE Trans. Vis. Comput. Graph.
Minsuk Kahng, Nikhil Thorat, Duen Horng (Polo) Chau, Fernanda B. Viégas, Martin Wattenberg
2019 J jnl
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers.
IEEE Trans. Vis. Comput. Graph.
Fred Hohman, Minsuk Kahng, Robert S. Pienta, Duen Horng Chau
2018 J jnl
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models.
IEEE Trans. Vis. Comput. Graph.
Minsuk Kahng, Pierre Y. Andrews, Aditya Kalro, Duen Horng (Polo) Chau
2018 J jnl
Chronodes: Interactive Multifocus Exploration of Event Sequences.
ACM Trans. Interact. Intell. Syst.
Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Kaya de Barbaro, Rahul C. Basole, Moushumi Sharmin, Duen Horng Chau
2018 J jnl
GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation.
CoRR
Minsuk Kahng, Nikhil Thorat, Duen Horng Chau, Fernanda B. Viégas, Martin Wattenberg
2018 J jnl
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers.
CoRR
Fred Hohman, Minsuk Kahng, Robert S. Pienta, Duen Horng Chau
2017 J jnl
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models.
CoRR
Minsuk Kahng, Pierre Y. Andrews, Aditya Kalro, Duen Horng Chau
2017 — ch.
Exploratory Visual Analytics of Mobile Health Data: Sensemaking Challenges and Opportunities.
Mobile Health - Sensors, Analytic Methods, and Applications
Peter J. Polack Jr., Moushumi Sharmin, Kaya de Barbaro, Minsuk Kahng, Shang-Tse Chen, Duen Horng Chau
2017 A conf
FACETS: Adaptive Local Exploration of Large Graphs.
SDM
Robert S. Pienta, Minsuk Kahng, Zhiyuan Lin, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau
2017 — conf
mHealth visual discovery dashboard.
UbiComp/ISWC Adjunct
Dezhi Fang, Fred Hohman, Peter J. Polack Jr., Hillol Sarker, Minsuk Kahng, Moushumi Sharmin, Mustafa al'Absi, Duen Horng Chau
2016 J jnl
Chronodes: Interactive Multi-focus Exploration of Event Sequences.
CoRR
Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Kaya de Barbaro, Moushumi Sharmin, Rahul C. Basole, Duen Horng Chau
2016 J jnl
Interactive Browsing and Navigation in Relational Databases.
CoRR
Minsuk Kahng, Shamkant B. Navathe, John T. Stasko, Duen Horng Chau
2016 J jnl
Interactive Browsing and Navigation in Relational Databases.
Proc. VLDB Endow.
Minsuk Kahng, Shamkant B. Navathe, John T. Stasko, Duen Horng (Polo) Chau
2016 — conf
M-Flash: Fast Billion-Scale Graph Computation Using a Bimodal Block Processing Model.
ECML/PKDD (2)
Hugo Gualdron, Robson L. F. Cordeiro, José Fernando Rodrigues Jr., Duen Horng (Polo) Chau, Minsuk Kahng, U Kang
2016 — conf
STEPS: A Spatio-temporal Electric Power Systems Visualization.
IUI Companion
Robert S. Pienta, Leilei Xiong, Santiago Grijalva, Duen Horng (Polo) Chau, Minsuk Kahng
2016 — conf
Visual exploration of machine learning results using data cube analysis.
HILDA@SIGMOD
Minsuk Kahng, Dezhi Fang, Duen Horng (Polo) Chau
2015 J jnl
Constructing compact and effective graphs for recommender systems via node and edge aggregations.
Expert Syst. Appl.
SangKeun Lee, Minsuk Kahng, Sang-goo Lee
2015 J jnl
M-Flash: Fast Billion-scale Graph Computation Using Block Partition Model.
CoRR
Hugo Gualdron, Robson L. F. Cordeiro, José Fernando Rodrigues Jr., Duen Horng Chau, Minsuk Kahng, U Kang
2015 — conf
Scalable graph exploration and visualization: Sensemaking challenges and opportunities.
BigComp
Robert S. Pienta, James Abello, Minsuk Kahng, Duen Horng Chau
2015 J jnl
Seeing the Forest through the Trees: Adaptive Local Exploration of Large Graphs.
CoRR
Robert S. Pienta, Zhiyuan Lin, Minsuk Kahng, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau
2015 — conf
TimeStitch: Interactive multi-focus cohort discovery and comparison.
VAST
Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Moushumi Sharmin, Duen Horng Chau
2015 J jnl
Understanding variations in pediatric asthma care processes in the emergency department using visual analytics.
J. Am. Medical Informatics Assoc.
Rahul C. Basole, Mark L. Braunstein, Vikas Kumar, Hyunwoo Park, Minsuk Kahng, Duen Horng (Polo) Chau, Acar Tamersoy, Daniel A. Hirsh, Nicoleta Serban, James Bost, Burton Lesnick, Beth L. Schissel, Michael Thompson
2014 J jnl
GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration.
IEEE Trans. Vis. Comput. Graph.
Charles D. Stolper, Minsuk Kahng, Zhiyuan Lin, Florian Foerster, Aakash Goel, John T. Stasko, Duen Horng Chau
2014 — conf
GLOs: graph-level operations for exploratory network visualization.
CHI Extended Abstracts
Charles D. Stolper, Florian Foerster, Minsuk Kahng, Zhiyuan Lin, Aakash Goel, John T. Stasko, Duen Horng Chau
2014 — conf
MMap: Fast billion-scale graph computation on a PC via memory mapping.
IEEE BigData
Zhiyuan Lin, Minsuk Kahng, Kaeser Md. Sabrin, Duen Horng (Polo) Chau, Ho Lee, U Kang
2014 — conf
Towards scalable graph computation on mobile devices.
IEEE BigData
Yiqi Chen, Zhiyuan Lin, Robert S. Pienta, Minsuk Kahng, Duen Horng Chau
2013 J jnl
PathRank: Ranking nodes on a heterogeneous graph for flexible hybrid recommender systems.
Expert Syst. Appl.
SangKeun Lee, Sungchan Park, Minsuk Kahng, Sang-goo Lee
2012 A* conf
Exploiting paths for entity search in RDF graphs.
SIGIR
Minsuk Kahng, Sang-goo Lee
2012 A conf
PathRank: a novel node ranking measure on a heterogeneous graph for recommender systems.
CIKM
SangKeun Lee, Sungchan Park, Minsuk Kahng, Sang-goo Lee
2011 — conf
Exploiting user feedback to improve quality of search results clustering.
ICUIMC
Inbeom Hwang, Minsuk Kahng, Sang-goo Lee
2011 — conf
Flexible recommendation using random walks on implicit feedback graph.
ICUIMC
SangKeun Lee, Minsuk Kahng, Sang-goo Lee
2011 A conf
Random walk based entity ranking on graph for multidimensional recommendation.
RecSys
SangKeun Lee, Sang-il Song, Minsuk Kahng, Dongjoo Lee, Sang-goo Lee
2011 — conf
Ranking in context-aware recommender systems.
WWW (Companion Volume)
Minsuk Kahng, SangKeun Lee, Sang-goo Lee
2011 — conf
Ranking objects by following paths in entity-relationship graphs.
PIKM@CIKM
Minsuk Kahng, SangKeun Lee, Sang-goo Lee
2010 — ch.
Exploiting Contextual Information from Event Logs for Personalized Recommendation.
Computer and Information Science
Dongjoo Lee, Sung Eun Park, Minsuk Kahng, SangKeun Lee, Sang-goo Lee
2010 A* conf
Si-Fi: interactive similar item finder.
SIGIR
Inbeom Hwang, Minsuk Kahng, Sung Eun Park, Jinwook Seo, Sang-goo Lee
2010 — conf
Temporal Dynamics in Music Listening Behavior: A Case Study of Online Music Service.
ACIS-ICIS
Chan Ho Park, Minsuk Kahng