Haekyu Park

According to our database, Haekyu Park authored at least 27 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Interactive Scalable Discovery Of Concepts, Evolutions, And Vulnerabilities In Deep Learning.

Haekyu Park

PhD thesis, 2024

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion.

Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng (Polo) Chau

Proceedings of the IEEE Visualization and Visual Analytics, 2024

Interactive Visual Learning for Stable Diffusion.

Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

FoundWright: A System to Help People Re-find Pages from Their Web-history.

Haekyu Park, Gonzalo A. Ramos, Jina Suh, Christopher Meek, Rachel Ng, Mary Czerwinski

CoRR, 2023

Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries.

Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks.

Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng (Polo) Chau

IEEE Trans. Vis. Comput. Graph., 2022

NeuroMapper: In-browser Visualizer for Neural Network Training.

Zhiyan Zhou, Kevin Li, Haekyu Park, Megan Dass, Austin P. Wright, Nilaksh Das, Duen Horng Chau

CoRR, 2022

Explaining Website Reliability by Visualizing Hyperlink Connectivity.

Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau

CoRR, 2022

ConceptEvo: Interpreting Concept Evolution in Deep Learning Training.

Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman, Duen Horng Chau

CoRR, 2022

Explaining Website Reliability by Visualizing Hyperlink Connectivity.

Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehqal, Ankit Peshin, Duen Horng Chau

Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors.

Sivapriya Vellaichamy, Matthew Hull, Zijie J. Wang, Nilaksh Das, Sheng-Yun Peng, Haekyu Park, Duen Horng (Polo) Chau

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MisVis: Explaining Web Misinformation Connections via Visual Summary.

Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization.

Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng (Polo) Chau

IEEE Trans. Vis. Comput. Graph., 2021

RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization.

Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng (Polo) Chau, Diyi Yang

Proc. ACM Hum. Comput. Interact., 2021

Quantifying the Impact of Human Capital, Job History, and Language Factors on Job Seniority with a Large-scale Analysis of Resumes.

Austin P. Wright, Caleb Ziems, Haekyu Park, Jon Saad-Falcon, Duen Horng Chau, Diyi Yang, Maria Tomprou

CoRR, 2021

SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models.

Haekyu Park, Zijie J. Wang, Nilaksh Das, Anindya S. Paul, Pruthvi Perumalla, Zhiyan Zhou, Duen Horng Chau

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations.

Fred Hohman, Haekyu Park, Caleb Robinson, Duen Horng (Polo) Chau

IEEE Trans. Vis. Comput. Graph., 2020

A Comparative Analysis of Industry Human-AI Interaction Guidelines.

Austin P. Wright, Zijie J. Wang, Haekyu Park, Grace Guo, Fabian Sperrle, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Duen Horng Chau

CoRR, 2020

Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks.

Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng (Polo) Chau

Proceedings of the 31st IEEE Visualization Conference, 2020

Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers.

Siwei Li, Zhiyan Zhou, Anish Upadhayay, Omar Shaikh, Scott Freitas, Haekyu Park, Zijie J. Wang, Susanta Routray, Matthew Hull, Duen Horng Chau

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

CNN 101: Interactive Visual Learning for Convolutional Neural Networks.

Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning.

Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

RECAST: Interactive Auditing of Automatic Toxicity Detection Models.

Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Diyi Yang, Duen Horng Chau

Proceedings of the Chinese CHI 2020: The eighth International Workshop of Chinese CHI, 2020

2019

NeuralDivergence: Exploring and Understanding Neural Networks by Comparing Activation Distributions.

Haekyu Park, Fred Hohman, Duen Horng Chau

CoRR, 2019

2018

SIDE: Representation Learning in Signed Directed Networks.

Junghwan Kim, Haekyu Park, Ji-Eun Lee, U Kang

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

2017

UniWalk: Explainable and Accurate Recommendation for Rating and Network Data.

Haekyu Park, Hyunsik Jeon, Junghwan Kim, Beunguk Ahn, U Kang

CoRR, 2017

A comparative study of matrix factorization and random walk with restart in recommender systems.

Haekyu Park, Jinhong Jung, U Kang

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017