Woojin Lee
Woojin Lee
School of AI Convergence, Dongguk University
Verified email at - Homepage
Cited by
Cited by
Understanding catastrophic overfitting in single-step adversarial training
H Kim, W Lee, J Lee
Proceedings of the AAAI Conference on Artificial Intelligence, 35(9), 2020
Patent network analysis and quadratic assignment procedures to identify the convergence of robot technologies
WJ Lee, WK Lee, SY Sohn
PloS one 11 (10), e0165091, 2016
Patent analysis to identify shale gas development in China and the United States
WJ Lee, SY Sohn
Energy policy 74, 111-115, 2014
Predicting bitcoin prices by using rolling window LSTM model
J Huisu, J Lee, H Ko, W Lee
Proceedings of the KDD data science in Fintech Workshop, London, UK, 19-23, 2018
Towards better understanding of training certifiably robust models against adversarial examples
S Lee, W Lee, J Park, J Lee
Advances in Neural Information Processing Systems 34, 953-964, 2021
Joint transfer of model knowledge and fairness over domains using wasserstein distance
T Yoon, J Lee, W Lee
IEEE Access 8, 123783-123798, 2020
Compact class-conditional domain invariant learning for multi-class domain adaptation
W Lee, H Kim, J Lee
Pattern Recognition 112, 107763, 2021
Fair clustering with fair correspondence distribution
W Lee, H Ko, J Byun, T Yoon, J Lee
Information Sciences 581, 155-178, 2021
Information-based boundary equilibrium generative adversarial networks with interpretable representation learning
J Hah, W Lee, J Lee, S Park
Computational Intelligence and Neuroscience 2018, 2018
Exploring the effect of multi-step ascent in sharpness-aware minimization
H Kim, J Park, Y Choi, W Lee, J Lee
arXiv preprint arXiv:2302.10181, 2023
Parameter-free he-friendly logistic regression
J Byun, W Lee, J Lee
Advances in Neural Information Processing Systems 34, 8457-8468, 2021
Learning of indiscriminate distributions of document embeddings for domain adaptation
S Park, W Lee, J Lee
Intelligent Data Analysis 23 (4), 779-797, 2019
Bridged adversarial training
H Kim, W Lee, S Lee, J Lee
Neural Networks 167, 266-282, 2023
Variational cycle-consistent imputation adversarial networks for general missing patterns
W Lee, S Lee, J Byun, H Kim, J Lee
Pattern Recognition 129, 108720, 2022
Instance weighting domain adaptation using distance kernel
W Lee, J Lee, S Park
Industrial Engineering & Management Systems 17 (2), 334-340, 2018
Loss landscape matters: Training certifiably robust models with favorable loss landscape
S Lee, W Lee, J Park, J Lee
Adjusted Impact Factor by using F min Search Algorithm
W Lee, J Hah, N Kim
Industrial Engineering & Management Systems 17 (1), 113-119, 2018
A Novel journal evaluation metric that adjusts the impact factors across different subject categories
S Pyo, W Lee, J Lee
Industrial Engineering & Management Systems 15 (1), 99-109, 2016
Fairness-Aware Multimodal Learning in Automatic Video Interview Assessment
C Kim, J Choi, J Yoon, D Yoo, W Lee
IEEE Access, 2023
Fast sharpness-aware training for periodic time series classification and forecasting
J Park, H Kim, Y Choi, W Lee, J Lee
Applied Soft Computing, 110467, 2023
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