Minsuk Kahng

Orcid: 0000-0002-0291-6026

According to our database1, Minsuk Kahng authored at least 57 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation.
CoRR, 2024

Understanding the Dataset Practitioners Behind Large Language Model Development.
CoRR, 2024

Automatic Histograms: Leveraging Language Models for Text Dataset Exploration.
CoRR, 2024

LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models.
CoRR, 2024

2023
DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps.
IEEE Trans. Vis. Comput. Graph., 2023

Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models.
Proceedings of the 2023 IEEE Visualization and Visual Analytics (VIS), 2023

VIVA: Visual Exploration and Analysis of Videos with Interactive Annotation.
Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

VLSlice: Interactive Vision-and-Language Slice Discovery.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Finding AI's Faults with AAR/AI: An Empirical Study.
ACM Trans. Interact. Intell. Syst., 2022

Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps.
CoRR, 2022

FitVid: Responsive and Flexible Video Content Adaptation.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Beyond Value: CheckList for Testing Inferences in Planning-Based RL.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization.
IEEE Trans. Vis. Comput. Graph., 2021

Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations.
CoRR, 2021

From Heatmaps to Structural Explanations of Image Classifiers.
CoRR, 2021

"Why did my AI agent lose?": Visual Analytics for Scaling Up After-Action Review.
Proceedings of the 2021 IEEE Visualization Conference, 2021

Contrastive Identification of Covariate Shift in Image Data.
Proceedings of the 2021 IEEE Visualization Conference, 2021

One Explanation is Not Enough: Structured Attention Graphs for Image Classification.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Doing Remote Controlled Studies with Humans: Tales from the COVID Trenches.
Proceedings of the 14th IEEE/ACM International Workshop on Cooperative and Human Aspects of Software Engineering, 2021

2020
Human-Centered AI through Scalable Visual Data Analytics.
PhD thesis, 2020

Structured Attention Graphs for Understanding Deep Image Classifications.
CoRR, 2020

How Does Visualization Help People Learn Deep Learning? Evaluating GAN Lab with Observational Study and Log Analysis.
Proceedings of the 31st IEEE Visualization Conference, 2020

CNN 101: Interactive Visual Learning for Convolutional Neural Networks.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

2019
GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation.
IEEE Trans. Vis. Comput. Graph., 2019

Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers.
IEEE Trans. Vis. Comput. Graph., 2019

FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning.
Proceedings of the 14th IEEE Conference on Visual Analytics Science and Technology, 2019

2018
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models.
IEEE Trans. Vis. Comput. Graph., 2018

Chronodes: Interactive Multifocus Exploration of Event Sequences.
ACM Trans. Interact. Intell. Syst., 2018

2017
FACETS: Adaptive Local Exploration of Large Graphs.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

mHealth visual discovery dashboard.
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

Exploratory Visual Analytics of Mobile Health Data: Sensemaking Challenges and Opportunities.
Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017

2016
Interactive Browsing and Navigation in Relational Databases.
Proc. VLDB Endow., 2016

Chronodes: Interactive Multi-focus Exploration of Event Sequences.
CoRR, 2016

Visual exploration of machine learning results using data cube analysis.
Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2016

M-Flash: Fast Billion-Scale Graph Computation Using a Bimodal Block Processing Model.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

STEPS: A Spatio-temporal Electric Power Systems Visualization.
Proceedings of the Companion Publication of the 21st International Conference on Intelligent User Interfaces, 2016

2015
Understanding variations in pediatric asthma care processes in the emergency department using visual analytics.
J. Am. Medical Informatics Assoc., 2015

Constructing compact and effective graphs for recommender systems via node and edge aggregations.
Expert Syst. Appl., 2015

Seeing the Forest through the Trees: Adaptive Local Exploration of Large Graphs.
CoRR, 2015

M-Flash: Fast Billion-scale Graph Computation Using Block Partition Model.
CoRR, 2015

TimeStitch: Interactive multi-focus cohort discovery and comparison.
Proceedings of the 10th IEEE Conference on Visual Analytics Science and Technology, 2015

Scalable graph exploration and visualization: Sensemaking challenges and opportunities.
Proceedings of the 2015 International Conference on Big Data and Smart Computing, 2015

2014
GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration.
IEEE Trans. Vis. Comput. Graph., 2014

GLOs: graph-level operations for exploratory network visualization.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

MMap: Fast billion-scale graph computation on a PC via memory mapping.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Towards scalable graph computation on mobile devices.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
PathRank: Ranking nodes on a heterogeneous graph for flexible hybrid recommender systems.
Expert Syst. Appl., 2013

2012
Exploiting paths for entity search in RDF graphs.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

PathRank: a novel node ranking measure on a heterogeneous graph for recommender systems.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Ranking in context-aware recommender systems.
Proceedings of the 20th International Conference on World Wide Web, 2011

Random walk based entity ranking on graph for multidimensional recommendation.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Flexible recommendation using random walks on implicit feedback graph.
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication, 2011

Exploiting user feedback to improve quality of search results clustering.
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication, 2011

Ranking objects by following paths in entity-relationship graphs.
Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management, 2011

2010
Exploiting Contextual Information from Event Logs for Personalized Recommendation.
Proceedings of the Computer and Information Science 2010 [outstanding papers from the 9th ACIS/IEEE International Conference on Computer and Information Science, 2010

Si-Fi: interactive similar item finder.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Temporal Dynamics in Music Listening Behavior: A Case Study of Online Music Service.
Proceedings of the 9th IEEE/ACIS International Conference on Computer and Information Science, 2010


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