A comparative study of matrix factorization and random walk with restart in recommender systems. - Haekyu Park; Jinhong Jung; U Kang (IEEE BigData, 2017)

UniWalk: Explainable and Accurate Recommendation for Rating and Network Data. - Haekyu Park; Hyunsik Jeon; Junghwan Kim; Beunguk Ahn; U Kang (CoRR, 2017)

SIDE: Representation Learning in Signed Directed Networks. - Junghwan Kim; Haekyu Park; Ji-Eun Lee; U Kang (WWW, 2018)

NeuralDivergence: Exploring and Understanding Neural Networks by Comparing Activation Distributions. - Haekyu Park; Fred Hohman; Duen Horng Chau (CoRR, 2019)

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 (CCHI, 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 (CHI Extended Abstracts, 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 (CHI Extended Abstracts, 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 (CIKM, 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 (IEEE VIS (Short Papers), 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)

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)

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 (AAAI, 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)

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)

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)

MisVis: Explaining Web Misinformation Connections via Visual Summary. - Seongmin Lee 007; Sadia Afroz 001; Haekyu Park; Zijie J. Wang; Omar Shaikh; Vibhor Sehgal; Ankit Peshin; Duen Horng Chau (CHI Extended Abstracts, 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 (CVPR, 2022)

Explaining Website Reliability by Visualizing Hyperlink Connectivity. - Seongmin Lee 007; Sadia Afroz 001; Haekyu Park; Zijie J. Wang; Omar Shaikh; Vibhor Sehqal; Ankit Peshin; Duen Horng Chau (IEEE VIS (Short Papers), 2022)

ConceptEvo: Interpreting Concept Evolution in Deep Learning Training. - Haekyu Park; Seongmin Lee 007; 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 007; Sadia Afroz 001; Haekyu Park; Zijie J. Wang; Omar Shaikh; Vibhor Sehgal; Ankit Peshin; Duen Horng Chau (CoRR, 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)

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)

Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. - Haekyu Park; Seongmin Lee 007; Benjamin Hoover; Austin P. Wright; Omar Shaikh; Rahul Duggal; Nilaksh Das; Kevin Li; Judy Hoffman; Duen Horng Chau (CIKM, 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)

Interactive Visual Learning for Stable Diffusion. - Seongmin Lee 007; Benjamin Hoover; Hendrik Strobelt; Zijie J. Wang; Shengyun Peng; Austin P. Wright; Kevin Li; Haekyu Park; Haoyang Yang; Duen Horng Chau (IJCAI, 2024)

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion. - Seongmin Lee 007; Benjamin Hoover; Hendrik Strobelt; Zijie J. Wang; Shengyun Peng; Austin P. Wright; Kevin Li; Haekyu Park; Haoyang Yang; Duen Horng (Polo) Chau (IEEE VIS, 2024)

Interactive Scalable Discovery Of Concepts, Evolutions, And Vulnerabilities In Deep Learning. - Haekyu Park (2024)