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2020 – today
- 2024
[c35]Emily Reif
, Crystal Qian, James Wexler, Minsuk Kahng:
Automatic Histograms: Leveraging Language Models for Text Dataset Exploration. CHI Extended Abstracts 2024: 53:1-53:9- [c34]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: 216:1-216:7 - [c33]Crystal Qian, Emily Reif, Minsuk Kahng:
Understanding the Dataset Practitioners Behind Large Language Models. CHI Extended Abstracts 2024: 350:1-350:7 - [c32]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: 388-406 - [i25]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 abs/2402.10524 (2024) - [i24]Emily Reif, Crystal Qian, James Wexler, Minsuk Kahng:
Automatic Histograms: Leveraging Language Models for Text Dataset Exploration. CoRR abs/2402.14880 (2024) - [i23]Crystal Qian, Emily Reif, Minsuk Kahng:
Understanding the Dataset Practitioners Behind Large Language Model Development. CoRR abs/2402.16611 (2024) - [i22]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 abs/2403.12075 (2024) - [i21]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 abs/2404.01361 (2024) - [i20]Ian Tenney, Ryan Mullins, Bin Du, Shree Pandya, Minsuk Kahng, Lucas Dixon:
Interactive Prompt Debugging with Sequence Salience. CoRR abs/2404.07498 (2024) - [i19]Yixuan Li, Emery D. Berger, Minsuk Kahng, Cindy Xiong Bearfield:
Does the Infamous Pie Chart Really Hurt Decision-Making in the Real World? Assessing the Role of Visualization in High-Level Academic Decisions. CoRR abs/2410.04686 (2024) - 2023
- [j12]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): 320-330 (2023) - [c31]Eric Slyman, Minsuk Kahng, Stefan Lee:
VLSlice: Interactive Vision-and-Language Slice Discovery. ICCV 2023: 15245-15255 - [c30]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: 162-165 - [c29]Emily Reif, Minsuk Kahng, Savvas Petridis:
Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models. IEEE VIS (Short Papers) 2023: 236-240 - [i18]Emily Reif, Minsuk Kahng, Savvas Petridis:
Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models. CoRR abs/2305.11364 (2023) - [i17]Eric Slyman, Minsuk Kahng, Stefan Lee:
VLSlice: Interactive Vision-and-Language Slice Discovery. CoRR abs/2309.06703 (2023) - 2022
- [j11]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): 1:1-1:33 (2022) - [c28]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: 606-614 - [c27]Jeongyeon Kim, Yubin Choi, Minsuk Kahng, Juho Kim:
FitVid: Responsive and Flexible Video Content Adaptation. CHI 2022: 501:1-501:16 - [i16]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 abs/2205.06935 (2022) - [i15]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 abs/2206.02039 (2022) - 2021
- [j10]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): 1396-1406 (2021) - [c26]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:
Doing Remote Controlled Studies with Humans: Tales from the COVID Trenches. CHASE@ICSE 2021: 113-116 - [c25]Vivswan Shitole, Fuxin Li, Minsuk Kahng, Prasad Tadepalli, Alan Fern:
One Explanation is Not Enough: Structured Attention Graphs for Image Classification. NeurIPS 2021: 11352-11363 - [c24]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: 16-20 - [c23]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: 36-40 - [i14]Matthew L. Olson, Thuy-Vy Nguyen, Gaurav Dixit, Neale Ratzlaff, Weng-Keen Wong, Minsuk Kahng:
Contrastive Identification of Covariate Shift in Image Data. CoRR abs/2108.08000 (2021) - [i13]Fuxin Li, Zhongang Qi, Saeed Khorram, Vivswan Shitole, Prasad Tadepalli, Minsuk Kahng, Alan Fern:
From Heatmaps to Structural Explanations of Image Classifiers. CoRR abs/2109.06365 (2021) - [i12]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 abs/2109.13978 (2021) - 2020
- [b1]Minsuk Kahng:
Human-Centered AI through Scalable Visual Data Analytics. Georgia Institute of Technology, Atlanta, GA, USA, 2020 - [c22]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: 1-7 - [c21]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: 266-270 - [i11]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 abs/2001.02004 (2020) - [i10]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 abs/2004.15004 (2020) - [i9]Vivswan Shitole, Fuxin Li, Minsuk Kahng, Prasad Tadepalli, Alan Fern:
Structured Attention Graphs for Understanding Deep Image Classifications. CoRR abs/2011.06733 (2020)
2010 – 2019
- 2019
- [j9]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): 310-320 (2019) - [j8]Fred Hohman, Minsuk Kahng, Robert S. Pienta, Duen Horng Chau:
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers. IEEE Trans. Vis. Comput. Graph. 25(8): 2674-2693 (2019) - [c20]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: 46-56 - [i8]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 abs/1904.05419 (2019) - 2018
- [j7]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): 2:1-2:21 (2018) - [j6]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): 88-97 (2018) - [i7]Fred Hohman, Minsuk Kahng, Robert S. Pienta, Duen Horng Chau:
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers. CoRR abs/1801.06889 (2018) - [i6]Minsuk Kahng, Nikhil Thorat, Duen Horng Chau, Fernanda B. Viégas, Martin Wattenberg:
GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation. CoRR abs/1809.01587 (2018) - 2017
- [c19]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: 237-240 - [c18]Robert S. 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: 597-605 - [p2]Peter J. Polack Jr., Moushumi Sharmin, Kaya de Barbaro, Minsuk Kahng, Shang-Tse Chen, Duen Horng Chau:
Exploratory Visual Analytics of Mobile Health Data: Sensemaking Challenges and Opportunities. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 349-360 - [i5]Minsuk Kahng, Pierre Y. Andrews, Aditya Kalro, Duen Horng Chau:
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models. CoRR abs/1704.01942 (2017) - 2016
- [j5]Minsuk Kahng, Shamkant B. Navathe, John T. Stasko, Duen Horng (Polo) Chau:
Interactive Browsing and Navigation in Relational Databases. Proc. VLDB Endow. 9(12): 1017-1028 (2016) - [c17]Robert S. Pienta, Leilei Xiong, Santiago Grijalva, Duen Horng (Polo) Chau, Minsuk Kahng:
STEPS: A Spatio-temporal Electric Power Systems Visualization. IUI Companion 2016: 32-35 - [c16]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: 623-640 - [c15]Minsuk Kahng, Dezhi Fang, Duen Horng (Polo) Chau:
Visual exploration of machine learning results using data cube analysis. HILDA@SIGMOD 2016: 1 - [i4]Minsuk Kahng, Shamkant B. Navathe, John T. Stasko, Duen Horng Chau:
Interactive Browsing and Navigation in Relational Databases. CoRR abs/1603.02371 (2016) - [i3]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 abs/1609.08535 (2016) - 2015
- [j4]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): 3396-3409 (2015) - [j3]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): 318-323 (2015) - [c14]Robert S. Pienta, James Abello, Minsuk Kahng, Duen Horng Chau:
Scalable graph exploration and visualization: Sensemaking challenges and opportunities. BigComp 2015: 271-278 - [c13]Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Moushumi Sharmin, Duen Horng Chau:
TimeStitch: Interactive multi-focus cohort discovery and comparison. VAST 2015: 209-210 - [i2]Robert S. 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 abs/1505.06792 (2015) - [i1]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 abs/1506.01406 (2015) - 2014
- [j2]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): 2320-2328 (2014) - [c12]Yiqi Chen, Zhiyuan Lin, Robert S. Pienta, Minsuk Kahng, Duen Horng Chau:
Towards scalable graph computation on mobile devices. IEEE BigData 2014: 29-35 - [c11]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: 159-164 - [c10]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: 1375-1380 - 2013
- [j1]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): 684-697 (2013) - 2012
- [c9]Sangkeun Lee, Sungchan Park, Minsuk Kahng, Sang-goo Lee:
PathRank: a novel node ranking measure on a heterogeneous graph for recommender systems. CIKM 2012: 1637-1641 - [c8]Minsuk Kahng, Sang-goo Lee:
Exploiting paths for entity search in RDF graphs. SIGIR 2012: 1027-1028 - 2011
- [c7]Minsuk Kahng, Sangkeun Lee, Sang-goo Lee:
Ranking objects by following paths in entity-relationship graphs. PIKM@CIKM 2011: 11-18 - [c6]Sangkeun Lee, Minsuk Kahng, Sang-goo Lee:
Flexible recommendation using random walks on implicit feedback graph. ICUIMC 2011: 3 - [c5]Inbeom Hwang, Minsuk Kahng, Sang-goo Lee:
Exploiting user feedback to improve quality of search results clustering. ICUIMC 2011: 68 - [c4]Sangkeun Lee, Sang-il Song, Minsuk Kahng, Dongjoo Lee, Sang-goo Lee:
Random walk based entity ranking on graph for multidimensional recommendation. RecSys 2011: 93-100 - [c3]Minsuk Kahng, Sangkeun Lee, Sang-goo Lee:
Ranking in context-aware recommender systems. WWW (Companion Volume) 2011: 65-66 - 2010
- [c2]Chan Ho Park, Minsuk Kahng:
Temporal Dynamics in Music Listening Behavior: A Case Study of Online Music Service. ACIS-ICIS 2010: 573-578 - [c1]Inbeom Hwang, Minsuk Kahng, Sung Eun Park, Jinwook Seo, Sang-goo Lee:
Si-Fi: interactive similar item finder. SIGIR 2010: 704 - [p1]Dongjoo Lee, Sung Eun Park, Minsuk Kahng, Sangkeun Lee, Sang-goo Lee:
Exploiting Contextual Information from Event Logs for Personalized Recommendation. Computer and Information Science 2010: 121-139
Coauthor Index
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