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Haekyu Park
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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
1392019
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
1052018
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
802020
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
252017
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
122020
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
102020
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
82020
Nilaksh Das, Fred Hohman, Minsuk Kahng, and Duen Horng Chau. Cnn explainer: Learning convolutional neural networks with interactive visualization
ZJ Wang, R Turko, O Shaikh, H Park
arXiv preprint arXiv:2004.15004 158, 2020
72020
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
62021
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
62020
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
52021
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
32021
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
32020
NeuralDivergence: Exploring and Understanding Neural Networks by Comparing Activation Distributions
H Park, F Hohman, DH Chau
IEEE Pacific Visualization Symposium (PacificVis 2019), 2019
32019
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
32019
SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models
H Park, ZJ Wang, N Das, AS Paul, P Perumalla, Z Zhou, DH Chau
The Association for the Advancement of Artificial Intelligence (AAAI), 2021
22021
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
12022
RECAST: Interactive Auditing of Automatic Toxicity Detection Models
AP Wright, O Shaikh, H Park, W Epperson, M Ahmed, S Pinel, D Yang, ...
The eighth International Workshop of Chinese CHI, 80-82, 2020
12020
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 preprint arXiv:2203.16475, 2022
2022
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
2022
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