Temporal Dynamics in Music Listening Behavior: A Case Study of Online Music Service. - Chan Ho Park; Minsuk Kahng (ACIS-ICIS, 2010)

Si-Fi: interactive similar item finder. - Inbeom Hwang; Minsuk Kahng; Sung Eun Park; Jinwook Seo; Sang-goo Lee (SIGIR, 2010)

Exploiting Contextual Information from Event Logs for Personalized Recommendation. - Dongjoo Lee; Sung Eun Park; Minsuk Kahng; Sangkeun Lee 001; Sang-goo Lee (Computer and Information Science, 2010)

Ranking objects by following paths in entity-relationship graphs. - Minsuk Kahng; Sangkeun Lee 001; Sang-goo Lee (PIKM@CIKM, 2011)

Exploiting user feedback to improve quality of search results clustering. - Inbeom Hwang; Minsuk Kahng; Sang-goo Lee (ICUIMC, 2011)

Flexible recommendation using random walks on implicit feedback graph. - Sangkeun Lee 001; Minsuk Kahng; Sang-goo Lee (ICUIMC, 2011)

Random walk based entity ranking on graph for multidimensional recommendation. - Sangkeun Lee 001; Sang-il Song; Minsuk Kahng; Dongjoo Lee; Sang-goo Lee (RecSys, 2011)

Ranking in context-aware recommender systems. - Minsuk Kahng; Sangkeun Lee 001; Sang-goo Lee (WWW (Companion Volume), 2011)

PathRank: a novel node ranking measure on a heterogeneous graph for recommender systems. - Sangkeun Lee 001; Sungchan Park; Minsuk Kahng; Sang-goo Lee (CIKM, 2012)

Exploiting paths for entity search in RDF graphs. - Minsuk Kahng; Sang-goo Lee (SIGIR, 2012)

PathRank: Ranking nodes on a heterogeneous graph for flexible hybrid recommender systems. - Sangkeun Lee 001; Sungchan Park; Minsuk Kahng; Sang-goo Lee (Expert Syst. Appl., 2013)

Towards scalable graph computation on mobile devices. - Yiqi Chen; Zhiyuan Lin 001; Robert S. Pienta; Minsuk Kahng; Duen Horng Chau (IEEE BigData, 2014)

MMap: Fast billion-scale graph computation on a PC via memory mapping. - Zhiyuan Lin 001; Minsuk Kahng; Kaeser Md. Sabrin; Duen Horng (Polo) Chau; Ho Lee; U Kang (IEEE BigData, 2014)

GLOs: graph-level operations for exploratory network visualization. - Charles D. Stolper; Florian Foerster; Minsuk Kahng; Zhiyuan Lin 001; Aakash Goel; John T. Stasko; Duen Horng Chau (CHI Extended Abstracts, 2014)

GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration. - Charles D. Stolper; Minsuk Kahng; Zhiyuan Lin 001; Florian Foerster; Aakash Goel; John T. Stasko; Duen Horng Chau (IEEE Trans. Vis. Comput. Graph., 2014)

Scalable graph exploration and visualization: Sensemaking challenges and opportunities. - Robert S. Pienta; James Abello; Minsuk Kahng; Duen Horng Chau (BigComp, 2015)

TimeStitch: Interactive multi-focus cohort discovery and comparison. - Peter J. Polack Jr.; Shang-Tse Chen; Minsuk Kahng; Moushumi Sharmin; Duen Horng Chau (VAST, 2015)

M-Flash: Fast Billion-scale Graph Computation Using Block Partition Model. - Hugo Gualdron; Robson L. F. Cordeiro; José Fernando Rodrigues Jr.; Duen Horng Chau; Minsuk Kahng; U Kang (CoRR, 2015)

Seeing the Forest through the Trees: Adaptive Local Exploration of Large Graphs. - Robert S. Pienta; Zhiyuan Lin 001; Minsuk Kahng; Jilles Vreeken; Partha P. Talukdar; James Abello; Ganesh Parameswaran; Duen Horng Chau (CoRR, 2015)

Constructing compact and effective graphs for recommender systems via node and edge aggregations. - Sangkeun Lee 001; Minsuk Kahng; Sang-goo Lee (Expert Syst. Appl., 2015)

Understanding variations in pediatric asthma care processes in the emergency department using visual analytics. - 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; et al. (J. Am. Medical Informatics Assoc., 2015)

STEPS: A Spatio-temporal Electric Power Systems Visualization. - Robert S. Pienta; Leilei Xiong; Santiago Grijalva; Duen Horng (Polo) Chau; Minsuk Kahng (IUI Companion, 2016)

M-Flash: Fast Billion-Scale Graph Computation Using a Bimodal Block Processing Model. - Hugo Gualdron; Robson L. F. Cordeiro; José Fernando Rodrigues Jr.; Duen Horng (Polo) Chau; Minsuk Kahng; U Kang (ECML/PKDD (2), 2016)

Visual exploration of machine learning results using data cube analysis. - Minsuk Kahng; Dezhi Fang; Duen Horng (Polo) Chau (HILDA@SIGMOD, 2016)

Chronodes: Interactive Multi-focus Exploration of Event Sequences. - Peter J. Polack Jr.; Shang-Tse Chen; Minsuk Kahng; Kaya de Barbaro; Moushumi Sharmin; Rahul C. Basole; Duen Horng Chau (CoRR, 2016)

Interactive Browsing and Navigation in Relational Databases. - Minsuk Kahng; Shamkant B. Navathe; John T. Stasko; Duen Horng (Polo) Chau (Proc. VLDB Endow., 2016)

Exploratory Visual Analytics of Mobile Health Data: Sensemaking Challenges and Opportunities. - Peter J. Polack Jr.; Moushumi Sharmin; Kaya de Barbaro; Minsuk Kahng; Shang-Tse Chen; Duen Horng Chau (Mobile Health - Sensors, Analytic Methods, and Applications, 2017)

mHealth visual discovery dashboard. - Dezhi Fang; Fred Hohman; Peter J. Polack Jr.; Hillol Sarker; Minsuk Kahng; Moushumi Sharmin; Mustafa al'Absi; Duen Horng Chau (UbiComp/ISWC Adjunct, 2017)

FACETS: Adaptive Local Exploration of Large Graphs. - Robert S. Pienta; Minsuk Kahng; Zhiyuan Lin 001; Jilles Vreeken; Partha P. Talukdar; James Abello; Ganesh Parameswaran; Duen Horng Chau (SDM, 2017)

Chronodes: Interactive Multifocus Exploration of Event Sequences. - Peter J. Polack Jr.; Shang-Tse Chen; Minsuk Kahng; Kaya de Barbaro; Rahul C. Basole; Moushumi Sharmin; Duen Horng Chau (ACM Trans. Interact. Intell. Syst., 2018)

ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models. - Minsuk Kahng; Pierre Y. Andrews; Aditya Kalro; Duen Horng (Polo) Chau (IEEE Trans. Vis. Comput. Graph., 2018)

FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning. - Ángel Alexander Cabrera; Will Epperson; Fred Hohman; Minsuk Kahng; Jamie Morgenstern; Duen Horng Chau (VAST, 2019)

Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers. - Fred Hohman; Minsuk Kahng; Robert S. Pienta; Duen Horng Chau (IEEE Trans. Vis. Comput. Graph., 2019)

GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation. - Minsuk Kahng; Nikhil Thorat; Duen Horng (Polo) Chau; Fernanda B. Viégas; Martin Wattenberg (IEEE Trans. Vis. Comput. Graph., 2019)

CNN 101: Interactive Visual Learning for Convolutional Neural Networks. - Zijie J. Wang; Robert Turko; Omar Shaikh; Haekyu Park; Nilaksh Das; Fred Hohman; Minsuk Kahng; Duen Horng Chau (CHI Extended Abstracts, 2020)

How Does Visualization Help People Learn Deep Learning? Evaluating GAN Lab with Observational Study and Log Analysis. - Minsuk Kahng; Duen Horng (Polo) Chau (IEEE VIS (Short Papers), 2020)

Structured Attention Graphs for Understanding Deep Image Classifications. - Vivswan Shitole; Fuxin Li; Minsuk Kahng; Prasad Tadepalli; Alan Fern (CoRR, 2020)

Human-Centered AI through Scalable Visual Data Analytics. - Minsuk Kahng (2020)

Doing Remote Controlled Studies with Humans: Tales from the COVID Trenches. - Rupika Dikkala; Roli Khanna; Caleb R. Matthews; Jonathan Dodge; Sai Raja; Catherine Hu; Jed Irvine; Zeyad Shureih; Kin-Ho Lam; Andrew Anderson 002; Minsuk Kahng; Alan Fern; et al. (CHASE@ICSE, 2021)

One Explanation is Not Enough: Structured Attention Graphs for Image Classification. - Vivswan Shitole; Fuxin Li; Minsuk Kahng; Prasad Tadepalli; Alan Fern (NeurIPS, 2021)

Contrastive Identification of Covariate Shift in Image Data. - Matthew L. Olson; Thuy-Vy Nguyen; Gaurav Dixit; Neale Ratzlaff; Weng-Keen Wong; Minsuk Kahng (IEEE VIS (Short Papers), 2021)

"Why did my AI agent lose?": Visual Analytics for Scaling Up After-Action Review. - Delyar Tabatabai; Anita Ruangrotsakun; Jed Irvine; Jonathan Dodge; Zeyad Shureih; Kin-Ho Lam; Margaret Burnett; Alan Fern; Minsuk Kahng (IEEE VIS (Short Papers), 2021)

From Heatmaps to Structural Explanations of Image Classifiers. - Fuxin Li; Zhongang Qi; Saeed Khorram; Vivswan Shitole; Prasad Tadepalli; Minsuk Kahng; Alan Fern (CoRR, 2021)

Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations. - Kin-Ho Lam; Zhengxian Lin; Jed Irvine; Jonathan Dodge; Zeyad T. Shureih; Roli Khanna; Minsuk Kahng; Alan Fern (CoRR, 2021)

CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. - Zijie J. Wang; Robert Turko; Omar Shaikh; Haekyu Park; Nilaksh Das; Fred Hohman; Minsuk Kahng; Duen Horng (Polo) Chau (IEEE Trans. Vis. Comput. Graph., 2021)

Beyond Value: CheckList for Testing Inferences in Planning-Based RL. - Kin-Ho Lam; Delyar Tabatabai; Jed Irvine; Donald Bertucci; Anita Ruangrotsakun; Minsuk Kahng; Alan Fern (ICAPS, 2022)

FitVid: Responsive and Flexible Video Content Adaptation. - Jeongyeon Kim; Yubin Choi; Minsuk Kahng; Juho Kim 001 (CHI, 2022)

Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps. - Donald Bertucci; Md Montaser Hamid; Yashwanthi Anand; Anita Ruangrotsakun; Delyar Tabatabai; Melissa Perez; Minsuk Kahng (CoRR, 2022)

Finding AI's Faults with AAR/AI: An Empirical Study. - Roli Khanna; Jonathan Dodge; Andrew Anderson 002; Rupika Dikkala; Jed Irvine; Zeyad Shureih; Kin-Ho Lam; Caleb R. Matthews; Zhengxian Lin; Minsuk Kahng; Alan Fern; Margaret Burnett (ACM Trans. Interact. Intell. Syst., 2022)

VLSlice: Interactive Vision-and-Language Slice Discovery. - Eric Slyman; Minsuk Kahng; Stefan Lee (ICCV, 2023)

VIVA: Visual Exploration and Analysis of Videos with Interactive Annotation. - Anita Ruangrotsakun; Dayeon Oh; Thuy-Vy Nguyen; Kristina Lee; Mark Ser; Arthur Hiew; Rogers Ngo; Zeyad Shureih; Roli Khanna; Minsuk Kahng (IUI Companion, 2023)

Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models. - Emily Reif; Minsuk Kahng; Savvas Petridis (IEEE VIS (Short Papers), 2023)

DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps. - Donald Bertucci; Md Montaser Hamid; Yashwanthi Anand; Anita Ruangrotsakun; Delyar Tabatabai; Melissa Perez; Minsuk Kahng (IEEE Trans. Vis. Comput. Graph., 2023)

LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models. - Minsuk Kahng; Ian Tenney; Mahima Pushkarna; Michael Xieyang Liu; James Wexler; Emily Reif; Krystal Kallarackal; Minsuk Chang; Michael Terry; Lucas Dixon (CHI Extended Abstracts, 2024)

Understanding the Dataset Practitioners Behind Large Language Models. - Crystal Qian; Emily Reif; Minsuk Kahng (CHI Extended Abstracts, 2024)

Automatic Histograms: Leveraging Language Models for Text Dataset Exploration. - Emily Reif; Crystal Qian; James Wexler; Minsuk Kahng (CHI Extended Abstracts, 2024)

Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation. - 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; et al. (FAccT, 2024)

Understanding the Dataset Practitioners Behind Large Language Model Development. - Crystal Qian; Emily Reif; Minsuk Kahng (CoRR, 2024)

Interactive Prompt Debugging with Sequence Salience. - Ian Tenney; Ryan Mullins; Bin Du; Shree Pandya; Minsuk Kahng; Lucas Dixon (CoRR, 2024)

Does the Infamous Pie Chart Really Hurt Decision-Making in the Real World? Assessing the Role of Visualization in High-Level Academic Decisions. - Yixuan Li; Emery D. Berger; Minsuk Kahng; Cindy Xiong Bearfield (CoRR, 2024)

The Evolution of LLM Adoption in Industry Data Curation Practices. - Crystal Qian; Michael Xieyang Liu; Emily Reif; Grady Simon; Nada Hussein; Nathan Clement; James Wexler; Carrie J. Cai; Michael Terry; Minsuk Kahng (CoRR, 2024)

LLM Attributor: Interactive Visual Attribution for LLM Generation. - Seongmin Lee 007; Zijie J. Wang; Aishwarya Chakravarthy; Alec Helbling; Shengyun Peng; Mansi Phute; Duen Horng (Polo) Chau; Minsuk Kahng (AAAI, 2025)

LLM Adoption in Data Curation Workflows: Industry Practices and Insights. - Crystal Qian; Michael Xieyang Liu; Emily Reif; Grady Simon; Nada Hussein; Nathan Clement; James Wexler; Carrie J. Cai; Michael Terry; Minsuk Kahng (CHI Extended Abstracts, 2025)

LLM Comparator: Interactive Analysis of Side-by-Side Evaluation of Large Language Models. - Minsuk Kahng; Ian Tenney; Mahima Pushkarna; Michael Xieyang Liu; James Wexler; Emily Reif; Krystal Kallarackal; Minsuk Chang; Michael Terry; Lucas Dixon (IEEE Trans. Vis. Comput. Graph., 2025)

Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models. - Lujain Ibrahim; Canfer Akbulut; Rasmi Elasmar; Charvi Rastogi; Minsuk Kahng; Meredith Ringel Morris; Kevin R. McKee; Verena Rieser; Murray Shanahan; Laura Weidinger (CoRR, 2025)

SAFEPATH: Preventing Harmful Reasoning in Chain-of-Thought via Early Alignment. - Wonje Jeung; Sangyeon Yoon; Minsuk Kahng; Albert No (CoRR, 2025)

From Seed to Harvest: Augmenting Human Creativity with AI for Red-teaming Text-to-Image Models. - Jessica Quaye; Charvi Rastogi; Alicia Parrish; Oana Inel; Minsuk Kahng; Lora Aroyo; Vijay Janapa Reddi (CoRR, 2025)

When Cars Have Stereotypes: Auditing Demographic Bias in Objects from Text-to-Image Models. - Dasol Choi; Jihwan Lee; Minjae Lee; Minsuk Kahng (CoRR, 2025)