Minsuk Kahng

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 51

Top Venues

CoRR

IEEE Trans. Vis. Comput. Graph.

CHI Extended Abstracts

IEEE VIS (Short Papers)

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

Crystal Qian, Emily Reif, Minsuk Kahng
Understanding the Dataset Practitioners Behind Large Language Models. CHI Extended Abstracts (2024)
Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, Krystal Kallarackal, Minsuk Chang, Michael Terry, Lucas Dixon
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models. CoRR (2024)
Seongmin Lee, Zijie J. Wang, Aishwarya Chakravarthy, Alec Helbling, Shengyun Peng, Mansi Phute, Duen Horng Chau, Minsuk Kahng
LLM Attributor: Interactive Visual Attribution for LLM Generation. CoRR (2024)
Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, Krystal Kallarackal, Minsuk Chang, Michael Terry, Lucas Dixon
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models. CHI Extended Abstracts (2024)
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
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation. CoRR (2024)
Emily Reif, Crystal Qian, James Wexler, Minsuk Kahng
Automatic Histograms: Leveraging Language Models for Text Dataset Exploration. CHI Extended Abstracts (2024)
Ian Tenney, Ryan Mullins, Bin Du, Shree Pandya, Minsuk Kahng, Lucas Dixon
Interactive Prompt Debugging with Sequence Salience. CoRR (2024)
Emily Reif, Crystal Qian, James Wexler, Minsuk Kahng
Automatic Histograms: Leveraging Language Models for Text Dataset Exploration. CoRR (2024)
Crystal Qian, Emily Reif, Minsuk Kahng
Understanding the Dataset Practitioners Behind Large Language Model Development. CoRR (2024)
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
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation. FAccT (2024)
Emily Reif, Minsuk Kahng, Savvas Petridis
Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models. CoRR (2023)
Emily Reif, Minsuk Kahng, Savvas Petridis
Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models. IEEE VIS (Short Papers) (2023)
Eric Slyman, Minsuk Kahng, Stefan Lee
VLSlice: Interactive Vision-and-Language Slice Discovery. ICCV (2023)
Anita Ruangrotsakun, Dayeon Oh, Thuy-Vy Nguyen, Kristina Lee, Mark Ser, Arthur Hiew, Rogers Ngo, Zeyad Shureih, Roli Khanna, Minsuk Kahng
VIVA: Visual Exploration and Analysis of Videos with Interactive Annotation. IUI Companion (2023)
Donald Bertucci, Md Montaser Hamid, Yashwanthi Anand, Anita Ruangrotsakun, Delyar Tabatabai, Melissa Perez, Minsuk Kahng
DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Eric Slyman, Minsuk Kahng, Stefan Lee
VLSlice: Interactive Vision-and-Language Slice Discovery. CoRR (2023)
Kin-Ho Lam, Delyar Tabatabai, Jed Irvine, Donald Bertucci, Anita Ruangrotsakun, Minsuk Kahng, Alan Fern
Beyond Value: CHECKLIST for Testing Inferences in Planning-Based RL. CoRR (2022)
Jeongyeon Kim, Yubin Choi, Minsuk Kahng, Juho Kim
FitVid: Responsive and Flexible Video Content Adaptation. CHI (2022)
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
Finding AI's Faults with AAR/AI: An Empirical Study. ACM Trans. Interact. Intell. Syst. 12 (1) (2022)
Kin-Ho Lam, Delyar Tabatabai, Jed Irvine, Donald Bertucci, Anita Ruangrotsakun, Minsuk Kahng, Alan Fern
Beyond Value: CheckList for Testing Inferences in Planning-Based RL. ICAPS (2022)
Donald Bertucci, Md Montaser Hamid, Yashwanthi Anand, Anita Ruangrotsakun, Delyar Tabatabai, Melissa Perez, Minsuk Kahng
Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps. CoRR (2022)
Delyar Tabatabai, Anita Ruangrotsakun, Jed Irvine, Jonathan Dodge, Zeyad Shureih, Kin-Ho Lam, Margaret Burnett, Alan Fern, Minsuk Kahng
"Why did my AI agent lose?": Visual Analytics for Scaling Up After-Action Review. IEEE VIS (Short Papers) (2021)
Matthew L. Olson, Thuy-Vy Nguyen, Gaurav Dixit, Neale Ratzlaff, Weng-Keen Wong, Minsuk Kahng
Contrastive Identification of Covariate Shift in Image Data. IEEE VIS (Short Papers) (2021)
Vivswan Shitole, Fuxin Li, Minsuk Kahng, Prasad Tadepalli, Alan Fern
One Explanation is Not Enough: Structured Attention Graphs for Image Classification. NeurIPS (2021)
Li Fuxin, Zhongang Qi, Saeed Khorram, Vivswan Shitole, Prasad Tadepalli, Minsuk Kahng, Alan Fern
From Heatmaps to Structural Explanations of Image Classifiers. CoRR (2021)
Matthew L. Olson, Thuy-Vy Nguyen, Gaurav Dixit, Neale Ratzlaff, Weng-Keen Wong, Minsuk Kahng
Contrastive Identification of Covariate Shift in Image Data. CoRR (2021)
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng (Polo) Chau
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Rupika Dikkala, Roli Khanna, Caleb Matthews, Jonathan Dodge, Sai Raja, Catherine Hu, Jed Irvine, Zeyad Shureih, Kin-Ho Lam, Andrew Anderson, Minsuk Kahng, Alan Fern, Margaret Burnett
Doing Remote Controlled Studies with Humans: Tales from the COVID Trenches. CHASE@ICSE (2021)
Kin-Ho Lam, Zhengxian Lin, Jed Irvine, Jonathan Dodge, Zeyad T. Shureih, Roli Khanna, Minsuk Kahng, Alan Fern
Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations. CoRR (2021)
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
CNN 101: Interactive Visual Learning for Convolutional Neural Networks. CHI Extended Abstracts (2020)
Vivswan Shitole, Fuxin Li, Minsuk Kahng, Prasad Tadepalli, Alan Fern
Structured Attention Graphs for Understanding Deep Image Classifications. CoRR (2020)
Minsuk Kahng, Duen Horng (Polo) Chau
How Does Visualization Help People Learn Deep Learning? Evaluating GAN Lab with Observational Study and Log Analysis. IEEE VIS (Short Papers) (2020)
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. CoRR (2020)
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
CNN 101: Interactive Visual Learning for Convolutional Neural Networks. CoRR (2020)
Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau
FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning. VAST (2019)
Fred Hohman, Minsuk Kahng, Robert Pienta, Duen Horng Chau
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers. IEEE Trans. Vis. Comput. Graph. 25 (8) (2019)
Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning. CoRR (2019)
Minsuk Kahng, Nikhil Thorat, Duen Horng (Polo) Chau, Fernanda B. Viégas, Martin Wattenberg
GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation. IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Fred Hohman, Minsuk Kahng, Robert Pienta, Duen Horng Chau
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers. CoRR (2018)
Minsuk Kahng, Nikhil Thorat, Duen Horng Chau, Fernanda B. Viégas, Martin Wattenberg
GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation. CoRR (2018)
Minsuk Kahng, Pierre Y. Andrews, Aditya Kalro, Duen Horng (Polo) Chau
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Kaya de Barbaro, Rahul C. Basole, Moushumi Sharmin, Duen Horng Chau
Chronodes: Interactive Multifocus Exploration of Event Sequences. ACM Trans. Interact. Intell. Syst. 8 (1) (2018)
Robert Pienta, Minsuk Kahng, Zhiyuan Lin, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau
FACETS: Adaptive Local Exploration of Large Graphs. SDM (2017)
Dezhi Fang, Fred Hohman, Peter J. Polack Jr., Hillol Sarker, Minsuk Kahng, Moushumi Sharmin, Mustafa al'Absi, Duen Horng Chau
mHealth visual discovery dashboard. UbiComp/ISWC Adjunct (2017)
Minsuk Kahng, Pierre Y. Andrews, Aditya Kalro, Duen Horng Chau
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models. CoRR (2017)
Hugo Gualdron, Robson L. F. Cordeiro, José Fernando Rodrigues Jr., Duen Horng (Polo) Chau, Minsuk Kahng, U Kang
M-Flash: Fast Billion-Scale Graph Computation Using a Bimodal Block Processing Model. ECML/PKDD (2) (2016)
Minsuk Kahng, Dezhi Fang, Duen Horng (Polo) Chau
Visual exploration of machine learning results using data cube analysis. HILDA@SIGMOD (2016)
Robert Pienta, Leilei Xiong, Santiago Grijalva, Duen Horng (Polo) Chau, Minsuk Kahng
STEPS: A Spatio-temporal Electric Power Systems Visualization. IUI Companion (2016)
Minsuk Kahng, Shamkant B. Navathe, John T. Stasko, Duen Horng (Polo) Chau
Interactive Browsing and Navigation in Relational Databases. Proc. VLDB Endow. 9 (12) (2016)
Minsuk Kahng, Shamkant B. Navathe, John T. Stasko, Duen Horng Chau
Interactive Browsing and Navigation in Relational Databases. CoRR (2016)
Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Kaya de Barbaro, Moushumi Sharmin, Rahul C. Basole, Duen Horng Chau
Chronodes: Interactive Multi-focus Exploration of Event Sequences. CoRR (2016)
Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Moushumi Sharmin, Duen Horng Chau
TimeStitch: Interactive multi-focus cohort discovery and comparison. VAST (2015)
Robert Pienta, Zhiyuan Lin, Minsuk Kahng, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau
Seeing the Forest through the Trees: Adaptive Local Exploration of Large Graphs. CoRR (2015)
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
Understanding variations in pediatric asthma care processes in the emergency department using visual analytics. J. Am. Medical Informatics Assoc. 22 (2) (2015)
Sangkeun Lee, Minsuk Kahng, Sang-goo Lee
Constructing compact and effective graphs for recommender systems via node and edge aggregations. Expert Syst. Appl. 42 (7) (2015)
Hugo Gualdron, Robson L. F. Cordeiro, José Fernando Rodrigues Jr., Duen Horng Chau, Minsuk Kahng, U Kang
M-Flash: Fast Billion-scale Graph Computation Using Block Partition Model. CoRR (2015)
Robert Pienta, James Abello, Minsuk Kahng, Duen Horng Chau
Scalable graph exploration and visualization: Sensemaking challenges and opportunities. BigComp (2015)
Zhiyuan Lin, Minsuk Kahng, Kaeser Md. Sabrin, Duen Horng (Polo) Chau, Ho Lee, U Kang
MMap: Fast billion-scale graph computation on a PC via memory mapping. IEEE BigData (2014)
Yiqi Chen, Zhiyuan Lin, Robert Pienta, Minsuk Kahng, Duen Horng Chau
Towards scalable graph computation on mobile devices. IEEE BigData (2014)
Charles D. Stolper, Florian Foerster, Minsuk Kahng, Zhiyuan Lin, Aakash Goel, John T. Stasko, Duen Horng Chau
GLOs: graph-level operations for exploratory network visualization. CHI Extended Abstracts (2014)
Charles D. Stolper, Minsuk Kahng, Zhiyuan Lin, Florian Foerster, Aakash Goel, John T. Stasko, Duen Horng Chau
GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration. IEEE Trans. Vis. Comput. Graph. 20 (12) (2014)
Sangkeun Lee, Sungchan Park, Minsuk Kahng, Sang-goo Lee
PathRank: Ranking nodes on a heterogeneous graph for flexible hybrid recommender systems. Expert Syst. Appl. 40 (2) (2013)
Minsuk Kahng, Sang-goo Lee
Exploiting paths for entity search in RDF graphs. SIGIR (2012)
Sangkeun Lee, Sungchan Park, Minsuk Kahng, Sang-goo Lee
PathRank: a novel node ranking measure on a heterogeneous graph for recommender systems. CIKM (2012)
Minsuk Kahng, Sangkeun Lee, Sang-goo Lee
Ranking in context-aware recommender systems. WWW (Companion Volume) (2011)
Inbeom Hwang, Minsuk Kahng, Sang-goo Lee
Exploiting user feedback to improve quality of search results clustering. ICUIMC (2011)
Minsuk Kahng, Sangkeun Lee, Sang-goo Lee
Ranking objects by following paths in entity-relationship graphs. PIKM@CIKM (2011)
Sangkeun Lee, Minsuk Kahng, Sang-goo Lee
Flexible recommendation using random walks on implicit feedback graph. ICUIMC (2011)
Sangkeun Lee, Sang-il Song, Minsuk Kahng, Dongjoo Lee, Sang-goo Lee
Random walk based entity ranking on graph for multidimensional recommendation. RecSys (2011)
Inbeom Hwang, Minsuk Kahng, Sung Eun Park, Jinwook Seo, Sang-goo Lee
Si-Fi: interactive similar item finder. SIGIR (2010)
Chan Ho Park, Minsuk Kahng
Temporal Dynamics in Music Listening Behavior: A Case Study of Online Music Service. ACIS-ICIS (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Minsuk Kahng