| Learning fair representation via distributional contrastive disentanglement C Oh, H Won, J So, T Kim, Y Kim, H Choi, K Song Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 31 | 2022 |
| Bibimbap: Pre-trained models ensemble for Domain Generalization J Kang, T Kim, Y Kim, C Oh, J Jung, R Chang, K Song Pattern Recognition 151, 110391, 2024 | 3 | 2024 |
| Sufficient invariant learning for distribution shift T Kim, S Park, S Lim, Y Jung, K Muandet, K Song arXiv preprint arXiv:2210.13533, 2022 | 3* | 2022 |
| Structural and positional ensembled encoding for Graph Transformer J Yeom, T Kim, R Chang, K Song Pattern Recognition Letters 183, 104-110, 2024 | 1 | 2024 |
| Robust optimization for PPG-based blood pressure estimation S Lim, T Kim, H Lee, Y Kim, M Park, KY Kim, M Kim, KH Kim, J Jung, ... Biomedical Signal Processing and Control 105, 107585, 2025 | | 2025 |
| TC-BERT: large-scale language model for Korean technology commercialization documents T Kim, C Oh, H Hwang, E Lee, Y Kim, Y Choi, S Kim, H Choi, K Song The Journal of Supercomputing 81 (1), 163, 2025 | | 2025 |
| GloGen: PPG prompts for few-shot transfer learning in blood pressure estimation T Kim, H Lee, M Kim, KY Kim, KH Kim, K Song Computers in Biology and Medicine 183, 109216, 2024 | | 2024 |
| Distribution Contrast for Disentangled Fair Representation C Oh, H Won, J So, T Kim, Y Kim, H Choi, K Song 한국자료분석학회 학술대회자료집 2022 (7), 52-52, 2022 | | 2022 |
Kyungwoo SongYonsei UniversityPreverjeni e-poštni naslov na yonsei.ac.kr