Haekyu Park
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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
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
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
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
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
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
ZJ Wang, R Turko, O Shaikh, H Park, N Das, F Hohman, M Kahng, ...
arXiv preprint arXiv:2004.15004, 2020
RECAST: Interactive Auditing of Automatic Toxicity Detection Models
AP Wright, O Shaikh, H Park, W Epperson, M Ahmed, S Pinel, D Yang, ...
arXiv preprint arXiv:2001.01819, 2020
NeuralDivergence: Exploring and Understanding Neural Networks by Comparing Activation Distributions
H Park, F Hohman, DH Chau
IEEE Pacific Visualization Symposium (PacificVis 2019), 2019
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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