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Haekyu Park
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2020 – today
- 2024
- [b1]Haekyu Park:
Interactive Scalable Discovery Of Concepts, Evolutions, And Vulnerabilities In Deep Learning. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - [c13]Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau:
Interactive Visual Learning for Stable Diffusion. IJCAI 2024: 8721-8724 - [i21]Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Sheng-Yun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Polo Chau:
Interactive Visual Learning for Stable Diffusion. CoRR abs/2404.16069 (2024) - 2023
- [c12]Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau:
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. CIKM 2023: 2044-2054 - [i20]Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Sheng-Yun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau:
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion. CoRR abs/2305.03509 (2023) - [i19]Haekyu Park, Gonzalo A. Ramos, Jina Suh, Christopher Meek, Rachel Ng, Mary Czerwinski:
FoundWright: A System to Help People Re-find Pages from Their Web-history. CoRR abs/2305.07930 (2023) - 2022
- [j4]Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng (Polo) Chau:
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. 28(1): 813-823 (2022) - [c11]Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau:
MisVis: Explaining Web Misinformation Connections via Visual Summary. CHI Extended Abstracts 2022: 228:1-228:6 - [c10]Sivapriya Vellaichamy, Matthew Hull, Zijie J. Wang, Nilaksh Das, Sheng-Yun Peng, Haekyu Park, Duen Horng (Polo) Chau:
DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors. CVPR 2022: 21452-21459 - [c9]Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehqal, Ankit Peshin, Duen Horng Chau:
Explaining Website Reliability by Visualizing Hyperlink Connectivity. IEEE VIS (Short Papers) 2022: 26-30 - [i18]Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman, Duen Horng Chau:
ConceptEvo: Interpreting Concept Evolution in Deep Learning Training. CoRR abs/2203.16475 (2022) - [i17]Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau:
Explaining Website Reliability by Visualizing Hyperlink Connectivity. CoRR abs/2210.00160 (2022) - [i16]Zhiyan Zhou, Kevin Li, Haekyu Park, Megan Dass, Austin P. Wright, Nilaksh Das, Duen Horng Chau:
NeuroMapper: In-browser Visualizer for Neural Network Training. CoRR abs/2210.12492 (2022) - 2021
- [j3]Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng (Polo) Chau, Diyi Yang:
RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 181:1-181:26 (2021) - [j2]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) - [c8]Haekyu Park, Zijie J. Wang, Nilaksh Das, Anindya S. Paul, Pruthvi Perumalla, Zhiyan Zhou, Duen Horng Chau:
SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models. AAAI 2021: 16094-16096 - [i15]Haekyu Park, Zijie J. Wang, Nilaksh Das, Anindya S. Paul, Pruthvi Perumalla, Zhiyan Zhou, Duen Horng Chau:
SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models. CoRR abs/2101.10586 (2021) - [i14]Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng Chau, Diyi Yang:
RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization. CoRR abs/2102.04427 (2021) - [i13]Austin P. Wright, Caleb Ziems, Haekyu Park, Jon Saad-Falcon, Duen Horng Chau, Diyi Yang, Maria Tomprou:
Quantifying the Impact of Human Capital, Job History, and Language Factors on Job Seniority with a Large-scale Analysis of Resumes. CoRR abs/2106.11846 (2021) - [i12]Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng Chau:
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. CoRR abs/2108.12931 (2021) - 2020
- [j1]Fred Hohman, Haekyu Park, Caleb Robinson, Duen Horng (Polo) Chau:
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations. IEEE Trans. Vis. Comput. Graph. 26(1): 1096-1106 (2020) - [c7]Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Diyi Yang, Duen Horng Chau:
RECAST: Interactive Auditing of Automatic Toxicity Detection Models. CCHI 2020: 80-82 - [c6]Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau:
Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning. CHI Extended Abstracts 2020: 1-7 - [c5]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 - [c4]Siwei Li, Zhiyan Zhou, Anish Upadhayay, Omar Shaikh, Scott Freitas, Haekyu Park, Zijie J. Wang, Susanta Routray, Matthew Hull, Duen Horng Chau:
Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers. CIKM 2020: 3071-3076 - [c3]Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng (Polo) Chau:
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks. IEEE VIS (Short Papers) 2020: 271-275 - [i11]Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Diyi Yang, Duen Horng Chau:
RECAST: Interactive Auditing of Automatic Toxicity Detection Models. CoRR abs/2001.01819 (2020) - [i10]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) - [i9]Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau:
Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning. CoRR abs/2001.07769 (2020) - [i8]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) - [i7]Siwei Li, Zhiyan Zhou, Anish Upadhayay, Omar Shaikh, Scott Freitas, Haekyu Park, Zijie J. Wang, Susanta Routray, Matthew Hull, Duen Horng Chau:
Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers. CoRR abs/2008.11844 (2020) - [i6]Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau:
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks. CoRR abs/2009.02608 (2020) - [i5]Austin P. Wright, Zijie J. Wang, Haekyu Park, Grace Guo, Fabian Sperrle, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Duen Horng Chau:
A Comparative Analysis of Industry Human-AI Interaction Guidelines. CoRR abs/2010.11761 (2020)
2010 – 2019
- 2019
- [i4]Fred Hohman, Haekyu Park, Caleb Robinson, Duen Horng Chau:
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations. CoRR abs/1904.02323 (2019) - [i3]Haekyu Park, Fred Hohman, Duen Horng Chau:
NeuralDivergence: Exploring and Understanding Neural Networks by Comparing Activation Distributions. CoRR abs/1906.00332 (2019) - 2018
- [c2]Junghwan Kim, Haekyu Park, Ji-Eun Lee, U Kang:
SIDE: Representation Learning in Signed Directed Networks. WWW 2018: 509-518 - 2017
- [c1]Haekyu Park, Jinhong Jung, U Kang:
A comparative study of matrix factorization and random walk with restart in recommender systems. IEEE BigData 2017: 756-765 - [i2]Haekyu Park, Jinhong Jung, U Kang:
A Comparative Study of Matrix Factorization and Random Walk with Restart in Recommender Systems. CoRR abs/1708.09088 (2017) - [i1]Haekyu Park, Hyunsik Jeon, Junghwan Kim, Beunguk Ahn, U Kang:
UniWalk: Explainable and Accurate Recommendation for Rating and Network Data. CoRR abs/1710.07134 (2017)
Coauthor Index
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last updated on 2024-10-21 20:28 CEST by the dblp team
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