| Swad: Domain generalization by seeking flat minima J Cha, S Chun, K Lee, HC Cho, S Park, Y Lee, S Park Advances in Neural Information Processing Systems 34, 22405-22418, 2021 | 435 | 2021 |
| Ocr-free document understanding transformer G Kim, T Hong, M Yim, JY Nam, J Park, J Yim, W Hwang, S Yun, D Han, ... European Conference on Computer Vision, 498-517, 2022 | 368* | 2022 |
| Selfreg: Self-supervised contrastive regularization for domain generalization D Kim, Y Yoo, S Park, J Kim, J Lee Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 315 | 2021 |
| A comprehensive exploration on wikisql with table-aware word contextualization W Hwang, J Yim, S Park, M Seo arXiv preprint arXiv:1902.01069, 2019 | 251 | 2019 |
| CORD: a consolidated receipt dataset for post-OCR parsing S Park, S Shin, B Lee, J Lee, J Surh, M Seo, H Lee Workshop on Document Intelligence at NeurIPS 2019, 2019 | 233 | 2019 |
| Deep recurrent neural network-based identification of precursor micrornas S Park, S Min, HS Choi, S Yoon Advances in Neural Information Processing Systems 30, 2017 | 126* | 2017 |
| deepTarget: end-to-end learning framework for microRNA target prediction using deep recurrent neural networks B Lee, J Baek, S Park, S Yoon Proceedings of the 7th ACM international conference on bioinformatics …, 2016 | 121 | 2016 |
| HiTRACE: high-throughput robust analysis for capillary electrophoresis S Yoon, J Kim, J Hum, H Kim, S Park, W Kladwang, R Das Bioinformatics 27 (13), 1798-1805, 2011 | 115 | 2011 |
| Spatial dependency parsing for semi-structured document information extraction W Hwang, J Yim, S Park, S Yang, M Seo arXiv preprint arXiv:2005.00642, 2020 | 112 | 2020 |
| Concurrent simulation platform for energy-aware smart metering systems S Park, H Kim, H Moon, J Heo, S Yoon IEEE transactions on Consumer Electronics 56 (3), 1918-1926, 2010 | 91 | 2010 |
| Pre-training of deep bidirectional protein sequence representations with structural information S Min, S Park, S Kim, HS Choi, B Lee, S Yoon IEEE Access 9, 123912-123926, 2021 | 68 | 2021 |
| In-depth analysis of interrelation between quality scores and real errors in illumina reads S Kwon, S Park, B Lee, S Yoon 2013 35th annual international conference of the IEEE engineering in …, 2013 | 47 | 2013 |
| Post-OCR parsing: building simple and robust parser via BIO tagging W Hwang, S Kim, M Seo, J Yim, S Park, S Park, J Lee, B Lee, H Lee Workshop on Document Intelligence at NeurIPS 2019, 2019 | 45 | 2019 |
| Grounding visual representations with texts for domain generalization S Min, N Park, S Kim, S Park, J Kim European Conference on Computer Vision, 37-53, 2022 | 39 | 2022 |
| Interpretable Prediction of Vascular Diseases from Electronic Health Records via Deep Attention Networks. S Park, YJ Kim, JW Kim, JJ Park, B Ryu, JW Ha BIBE, 110-117, 2018 | 16* | 2018 |
| hc-OTU: A fast and accurate method for clustering operational taxonomic units based on homopolymer compaction S Park, H Choi, B Lee, J Chun, JH Won, S Yoon IEEE/ACM transactions on computational biology and bioinformatics 15 (2 …, 2016 | 16 | 2016 |
| vHoT: a database for predicting interspecies interactions between viral microRNA and host genomes H Kim, S Park, H Min, S Yoon Archives of virology 157, 497-501, 2012 | 13 | 2012 |
| Egtr: Extracting graph from transformer for scene graph generation J Im, JY Nam, N Park, H Lee, S Park Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 12 | 2024 |
| DEER: Detection-agnostic End-to-End Recognizer for Scene Text Spotting S Kim, S Shin, Y Kim, HC Cho, T Kil, J Surh, S Park, B Lee, Y Baek arXiv preprint arXiv:2203.05122, 2022 | 11 | 2022 |
| Genetic risk score to predict biochemical recurrence after radical prostatectomy in prostate cancer: prospective cohort study JJ Oh, S Park, SE Lee, SK Hong, S Lee, TJ Kim, IJ Lee, JN Ho, S Yoon, ... Oncotarget 8 (44), 75979, 2017 | 11 | 2017 |
Sungroh YoonProfessor, Electrical and Computer Engineering & Artificial Intelligence, Seoul National UniversityVerified email at snu.ac.kr
