| Deep-hurricane-tracker: Tracking and forecasting extreme climate events S Kim, H Kim, J Lee, S Yoon, SE Kahou, K Kashinath, M Prabhat 2019 IEEE winter conference on applications of computer vision (WACV), 1761-1769, 2019 | 110* | 2019 |
| Autoencoding under normalization constraints S Yoon, YK Noh, F Park International Conference on Machine Learning, 12087-12097, 2021 | 42 | 2021 |
| Image-to-image retrieval by learning similarity between scene graphs S Yoon, WY Kang, S Jeon, SE Lee, C Han, J Park, ES Kim Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10718 …, 2021 | 35 | 2021 |
| Regularized autoencoders for isometric representation learning LEE Yonghyeon, S Yoon, M Son, FC Park International Conference on Learning Representations, 2021 | 24 | 2021 |
| Collision detection for robot manipulators using unsupervised anomaly detection algorithms KM Park, Y Park, S Yoon, FC Park IEEE/ASME Transactions on Mechatronics 27 (5), 2841-2851, 2021 | 21 | 2021 |
| Classification of impinging jet flames using convolutional neural network with transfer learning M Lee, S Yoon, J Kim, Y Wang, K Lee, FC Park, CH Sohn Journal of Mechanical Science and Technology 36 (3), 1547-1556, 2022 | 8 | 2022 |
| 컨볼루션 신경망 기반 대용량 텍스트 데이터 분류 기술 조휘열， 김진화， 윤상웅， 김경민， 장병탁 한국정보과학회 학술발표논문집, 792-794, 2015 | 8 | 2015 |
| Deep-hurricane-tracker: Tracking and forecasting extreme climate events. 2019 IEEE Winter Conf. on Applications of Computer Vision, Waikoloa, HI S Kim, H Kim, J Lee, S Yoon, SE Kahou, K Kashinath, M Prabhat Ieee, 1761 | 7 | 1761 |
| Data-driven constitutive model of complex fluids using recurrent neural networks H Jin, S Yoon, FC Park, KH Ahn Rheologica Acta 62 (10), 569-586, 2023 | 4 | 2023 |
| Ensemble method for unsupervised anomalous sound detection J Park, S Yoon, Y Lee, M Son, FC Park Advances in neural information processing systems 24, 2011 | 3 | 2011 |
| Energy-based models for anomaly detection: A manifold diffusion recovery approach S Yoon, YU Jin, YK Noh, F Park Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Evaluating out-of-distribution detectors through adversarial generation of outliers S Yoon, J Choi, Y Lee, YK Noh, FC Park arXiv preprint arXiv:2208.10940, 2022 | 2 | 2022 |
| Interpretable feature selection using local information for credit assessment S Yoon, Y Song, KC Bureau, M Kim, FC Park, YK Noh nIPS 2018 Workshop on Challenges and Opportunities for AI in Financial …, 2018 | 1 | 2018 |
| Variational Weighting for Kernel Density Ratios S Yoon, F Park, G Yun, I Kim, YK Noh Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Generalized Contrastive Divergence: Joint Training of Energy-Based Model and Diffusion Model through Inverse Reinforcement Learning S Yoon, D Kwon, H Hwang, YK Noh, FC Park arXiv preprint arXiv:2312.03397, 2023 | | 2023 |
| Adversarial Distributions Against Out-of-Distribution Detectors S Yoon, J Choi, LEE Yonghyeon, YK Noh, FC Park | | 2021 |
| Suppressing Outlier Reconstruction in Autoencoders for Out-of-Distribution Detection S Yoon, YK Noh, FC Park | | 2020 |
| Spectrally Similar Graph Pooling KW On, ES Kim, IJ Kwon, S Yoon, BT Zhang | | 2020 |
| Tracking and Predicting Extreme Climate Events SK Kim, S Yoon, J Lee, S Kahou, H Kim, K Kashinath, M Prabhat AGU Fall Meeting Abstracts 2018, IN13C-0683, 2018 | | 2018 |
| Adaptive Bayesian Optimization for Organic Material Screening 윤상웅 서울대학교 대학원, 2016 | | 2016 |
Frank Chongwoo ParkProfessor, Seoul National UniversityVerified email at snu.ac.kr
