Haekyu Park
Title
Cited by
Cited by
Year
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
742018
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
682019
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, 2020
222020
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
222017
CNN 101: Interactive Visual Learning for Convolutional Neural Networks
ZJ Wang, R Turko, O Shaikh, H Park, N Das, F Hohman, M Kahng, ...
arXiv preprint arXiv:2001.02004, 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
52020
Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning
N Das, H Park, ZJ Wang, F Hohman, R Firstman, E Rogers, DH Chau
arXiv preprint arXiv:2001.07769, 2020
22020
NeuralDivergence: Exploring and Understanding Neural Networks by Comparing Activation Distributions
H Park, F Hohman, DH Chau
IEEE Pacific Visualization Symposium (PacificVis 2019), 2019
22019
A Comparative Analysis of Industry Human-AI Interaction Guidelines
AP Wright, ZJ Wang, H Park, G Guo, F Sperrle, M El-Assady, A Endert, ...
arXiv preprint arXiv:2010.11761, 2020
12020
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks
N Das, H Park, ZJ Wang, F Hohman, R Firstman, E Rogers, D Horng
IEEE VIS 2020, 2020
12020
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
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
2021
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
arXiv preprint arXiv:2101.10586, 2021
2021
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
2020
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, ...
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