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Haekyu Park
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CNN explainer: learning convolutional neural networks with interactive visualization
ZJ Wang, R Turko, O Shaikh, H Park, N Das, F Hohman, M Kahng, ...
IEEE Transactions on Visualization and Computer Graphics 27 (2), 1396-1406, 2020
2552020
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations
F Hohman, H Park, C Robinson, DHP Chau
IEEE transactions on visualization and computer graphics 26 (1), 1096-1106, 2019
2482019
Side: representation learning in signed directed networks
J Kim, H Park, JE Lee, U Kang
Proceedings of the 2018 world wide web conference, 509-518, 2018
1562018
A comparative study of matrix factorization and random walk with restart in recommender systems
H Park, J Jung, U Kang
2017 IEEE International Conference on Big Data (Big Data), 756-765, 2017
422017
Nilaksh Das, Fred Hohman, Minsuk Kahng, and Duen Horng Polo Chau. 2021. CNN explainer: Learning convolutional neural networks with interactive visualization
ZJ Wang, R Turko, O Shaikh, H Park
IEEE Transactions on Visualization and Computer Graphics 27 (2), 1396-1406, 2021
412021
RECAST: Enabling user recourse and interpretability of toxicity detection models with interactive visualization
AP Wright, O Shaikh, H Park, W Epperson, M Ahmed, S Pinel, DH Chau, ...
Proceedings of the ACM on human-computer interaction 5 (CSCW1), 1-26, 2021
292021
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks
N Das, H Park, ZJ Wang, F Hohman, R Firstman, E Rogers, D Horng
IEEE Visualization Conference (VIS), 2020, 2020
232020
CNN 101: Interactive Visual Learning for Convolutional Neural Networks
ZJ Wang, R Turko, O Shaikh, H Park, N Das, F Hohman, M Kahng, ...
ACM CHI Conference on Human Factors in Computing Systems (CHI), Late …, 2020
232020
Neurocartography: Scalable automatic visual summarization of concepts in deep neural networks
H Park, N Das, R Duggal, AP Wright, O Shaikh, F Hohman, DHP Chau
IEEE Transactions on Visualization and Computer Graphics 28 (1), 813-823, 2021
192021
Diffusion explainer: Visual explanation for text-to-image stable diffusion
S Lee, B Hoover, H Strobelt, ZJ Wang, SY Peng, A Wright, K Li, H Park, ...
arXiv preprint arXiv:2305.03509, 2023
162023
A comparative analysis of industry human-AI interaction guidelines
AP Wright, ZJ Wang, H Park, G Guo, F Sperrle, M El-Assady, A Endert, ...
IEEE Visualization Conference, Workshop on Trust and Expertise in Visual …, 2020
162020
Mennatallah El-Assady, Alex Endert, Daniel Keim, and Duen Horng Chau. 2020. A comparative analysis of industry human-AI interaction guidelines
AP Wright, ZJ Wang, H Park, G Guo, F Sperrle
arXiv preprint arXiv:2010.11761, 2020
142020
Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning
N Das, H Park, ZJ Wang, F Hohman, R Firstman, E Rogers, DH Chau
ACM CHI Conference on Human Factors in Computing Systems (CHI), Late …, 2020
102020
Argo lite: Open-source interactive graph exploration and visualization in browsers
S Li, Z Zhou, A Upadhayay, O Shaikh, S Freitas, H Park, ZJ Wang, ...
Proceedings of the 29th ACM International Conference on Information …, 2020
92020
Nilaksh Das, Rahul Duggal, Austin P Wright, Omar Shaikh, Fred Hohman, and Duen Horng Polo Chau. 2021. NeuroCartography: Scalable Automatic Visual Summarization of Concepts in …
H Park
IEEE Transactions on Visualization and Computer Graphics 28 (1), 813-823, 2021
72021
MisVis: Explaining web misinformation connections via visual summary
S Lee, S Afroz, H Park, ZJ Wang, O Shaikh, V Sehgal, A Peshin, DH Chau
CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1-6, 2022
52022
MLsploit: a framework for interactive experimentation with adversarial machine learning research
N Das, S Li, C Jeon, J Jung, ST Chen, C Yagemann, E Downing, H Park, ...
Proc. of the 25th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, 2019
52019
Cnn explainer
J Wang, R Turko, O Shaikh, H Park, N Das, F Hohman, M Kahng, P Chau
Learning convolutional neural networks with interactive visualization. arXiv …, 2004
52004
ConceptEvo: Interpreting Concept Evolution in Deep Learning Training
H Park, S Lee, B Hoover, A Wright, O Shaikh, R Duggal, N Das, J Hoffman, ...
arXiv e-prints, arXiv: 2203.16475, 2022
42022
DetectorDetective: Investigating the effects of adversarial examples on object detectors
S Vellaichamy, M Hull, ZJ Wang, N Das, SY Peng, H Park, DHP Chau
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
42022
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