Haekyu Park - RankMe

40 papers A* 4A 3Journal 25Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	A	`conf`	Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion. IEEE VIS Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng (Polo) Chau
2024	—	`—`	Interactive Scalable Discovery Of Concepts, Evolutions, And Vulnerabilities In Deep Learning. Haekyu Park
2024	A*	`conf`	Interactive Visual Learning for Stable Diffusion. IJCAI Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau
2024	J	`jnl`	Interactive Visual Learning for Stable Diffusion. CoRR Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Sheng-Yun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Polo Chau
2023	A	`conf`	Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. CIKM Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau
2023	J	`jnl`	Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion. CoRR Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Sheng-Yun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau
2023	J	`jnl`	FoundWright: A System to Help People Re-find Pages from Their Web-history. CoRR Haekyu Park, Gonzalo A. Ramos, Jina Suh, Christopher Meek, Rachel Ng, Mary Czerwinski
2022	J	`jnl`	ConceptEvo: Interpreting Concept Evolution in Deep Learning Training. CoRR Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman, Duen Horng Chau
2022	A*	`conf`	DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors. CVPR Sivapriya Vellaichamy, Matthew Hull, Zijie J. Wang, Nilaksh Das, Sheng-Yun Peng, Haekyu Park, Duen Horng (Polo) Chau
2022	—	`conf`	Explaining Website Reliability by Visualizing Hyperlink Connectivity. IEEE VIS (Short Papers) Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehqal, Ankit Peshin, Duen Horng Chau
2022	J	`jnl`	Explaining Website Reliability by Visualizing Hyperlink Connectivity. CoRR Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau
2022	—	`conf`	MisVis: Explaining Web Misinformation Connections via Visual Summary. CHI Extended Abstracts Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau
2022	J	`jnl`	NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng (Polo) Chau
2022	J	`jnl`	NeuroMapper: In-browser Visualizer for Neural Network Training. CoRR Zhiyan Zhou, Kevin Li, Haekyu Park, Megan Dass, Austin P. Wright, Nilaksh Das, Duen Horng Chau
2021	J	`jnl`	CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. IEEE Trans. Vis. Comput. Graph. Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng (Polo) Chau
2021	J	`jnl`	NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. CoRR Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng Chau
2021	J	`jnl`	Quantifying the Impact of Human Capital, Job History, and Language Factors on Job Seniority with a Large-scale Analysis of Resumes. CoRR Austin P. Wright, Caleb Ziems, Haekyu Park, Jon Saad-Falcon, Duen Horng Chau, Diyi Yang, Maria Tomprou
2021	J	`jnl`	RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization. CoRR Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng Chau, Diyi Yang
2021	J	`jnl`	RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization. Proc. ACM Hum. Comput. Interact. Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng (Polo) Chau, Diyi Yang
2021	A*	`conf`	SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models. AAAI Haekyu Park, Zijie J. Wang, Nilaksh Das, Anindya S. Paul, Pruthvi Perumalla, Zhiyan Zhou, Duen Horng Chau
2021	J	`jnl`	SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models. CoRR Haekyu Park, Zijie J. Wang, Nilaksh Das, Anindya S. Paul, Pruthvi Perumalla, Zhiyan Zhou, Duen Horng Chau
2020	J	`jnl`	A Comparative Analysis of Industry Human-AI Interaction Guidelines. CoRR Austin P. Wright, Zijie J. Wang, Haekyu Park, Grace Guo, Fabian Sperrle, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Duen Horng Chau
2020	A	`conf`	Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers. CIKM Siwei Li, Zhiyan Zhou, Anish Upadhayay, Omar Shaikh, Scott Freitas, Haekyu Park, Zijie J. Wang, Susanta Routray, Matthew Hull, Duen Horng Chau
2020	J	`jnl`	Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers. CoRR Siwei Li, Zhiyan Zhou, Anish Upadhayay, Omar Shaikh, Scott Freitas, Haekyu Park, Zijie J. Wang, Susanta Routray, Matthew Hull, Duen Horng Chau
2020	—	`conf`	Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks. IEEE VIS (Short Papers) Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng (Polo) Chau
2020	J	`jnl`	Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks. CoRR Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau
2020	—	`conf`	CNN 101: Interactive Visual Learning for Convolutional Neural Networks. CHI Extended Abstracts Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
2020	J	`jnl`	CNN 101: Interactive Visual Learning for Convolutional Neural Networks. CoRR Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
2020	J	`jnl`	CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. CoRR Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
2020	—	`conf`	Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning. CHI Extended Abstracts Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau
2020	J	`jnl`	Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning. CoRR Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau
2020	—	`conf`	RECAST: Interactive Auditing of Automatic Toxicity Detection Models. CCHI Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Diyi Yang, Duen Horng Chau
2020	J	`jnl`	RECAST: Interactive Auditing of Automatic Toxicity Detection Models. CoRR Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Diyi Yang, Duen Horng Chau
2020	J	`jnl`	Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations. IEEE Trans. Vis. Comput. Graph. Fred Hohman, Haekyu Park, Caleb Robinson, Duen Horng (Polo) Chau
2019	J	`jnl`	NeuralDivergence: Exploring and Understanding Neural Networks by Comparing Activation Distributions. CoRR Haekyu Park, Fred Hohman, Duen Horng Chau
2019	J	`jnl`	Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations. CoRR Fred Hohman, Haekyu Park, Caleb Robinson, Duen Horng Chau
2018	A*	`conf`	SIDE: Representation Learning in Signed Directed Networks. WWW Junghwan Kim, Haekyu Park, Ji-Eun Lee, U Kang
2017	J	`jnl`	A Comparative Study of Matrix Factorization and Random Walk with Restart in Recommender Systems. CoRR Haekyu Park, Jinhong Jung, U Kang
2017	—	`conf`	A comparative study of matrix factorization and random walk with restart in recommender systems. IEEE BigData Haekyu Park, Jinhong Jung, U Kang
2017	J	`jnl`	UniWalk: Explainable and Accurate Recommendation for Rating and Network Data. CoRR Haekyu Park, Hyunsik Jeon, Junghwan Kim, Beunguk Ahn, U Kang