Haekyu Park

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 37

Top Topics

Interactive Visual

Object Detectors

Top Venues

IEEE Trans. Vis. Comput. Graph.

CHI Extended Abstracts

Publications

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 (2024)
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 (2023)
Haekyu Park, Gonzalo Ramos, Jina Suh, Christopher Meek, Rachel Ng, Mary Czerwinski
FoundWright: A System to Help People Re-find Pages from Their Web-history. CoRR (2023)
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)
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)
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)
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) (2022)
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)
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 (2022)
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 (2022)
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 (2022)
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 (2021)
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 (2021)
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) (2021)
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 (2021)
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 (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)
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)
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)
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 (2020)
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)
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)
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)
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)
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 (2020)
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 (2020)
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 (2020)
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) (2020)
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 (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)
Haekyu Park, Fred Hohman, Duen Horng Chau
NeuralDivergence: Exploring and Understanding Neural Networks by Comparing Activation Distributions. CoRR (2019)
Fred Hohman, Haekyu Park, Caleb Robinson, Duen Horng Chau
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations. CoRR (2019)
Junghwan Kim, Haekyu Park, Ji-Eun Lee, U Kang
SIDE: Representation Learning in Signed Directed Networks. WWW (2018)
Haekyu Park, Jinhong Jung, U Kang
A Comparative Study of Matrix Factorization and Random Walk with Restart in Recommender Systems. CoRR (2017)
Haekyu Park, Hyunsik Jeon, Junghwan Kim, Beunguk Ahn, U Kang
UniWalk: Explainable and Accurate Recommendation for Rating and Network Data. CoRR (2017)
Haekyu Park, Jinhong Jung, U Kang
A comparative study of matrix factorization and random walk with restart in recommender systems. IEEE BigData (2017)