| BioBERT: a pre-trained biomedical language representation model for biomedical text mining J Lee, W Yoon, S Kim, D Kim, S Kim, CH So, J Kang Bioinformatics 36 (4), 1234-1240, 2020 | 6032 | 2020 |
| Self-attention graph pooling J Lee, I Lee, J Kang International conference on machine learning, 3734-3743, 2019 | 1349 | 2019 |
| Graph transformer networks S Yun, M Jeong, R Kim, J Kang, HJ Kim Advances in neural information processing systems 32, 2019 | 1051 | 2019 |
| Evaluating window joins over unbounded streams J Kang, JF Naughton, SD Viglas Proceedings 19th International Conference on Data Engineering (Cat. No …, 2003 | 581 | 2003 |
| Catching the boat with Strudel: Experiences with a web-site management system M Fernandez, D Florescu, J Kang, A Levy, D Suciu ACM SIGMOD Record 27 (2), 414-425, 1998 | 477 | 1998 |
| DSigDB: drug signatures database for gene set analysis M Yoo, J Shin, J Kim, KA Ryall, K Lee, S Lee, M Jeon, J Kang, AC Tan Bioinformatics 31 (18), 3069-3071, 2015 | 400 | 2015 |
| On schema matching with opaque column names and data values J Kang, JF Naughton Proceedings of the 2003 ACM SIGMOD international conference on Management of …, 2003 | 345 | 2003 |
| Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ... Nature communications 10 (1), 2674, 2019 | 301 | 2019 |
| The Niagara internet query system JF Naughton, DJ DeWitt, D Maier, A Aboulnaga, J Chen, L Galanis, ... IEEE Data Eng. Bull. 24 (2), 27-33, 2001 | 298 | 2001 |
| Hotr: End-to-end human-object interaction detection with transformers B Kim, J Lee, J Kang, ES Kim, HJ Kim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 287 | 2021 |
| Strudel: A web site management system M Fernandez, D Florescu, J Kang, A Levy, D Suciu ACM SIGMOD Record 26 (2), 549-552, 1997 | 226 | 1997 |
| Content-aware hierarchical point-of-interest embedding model for successive poi recommendation. B Chang, Y Park, D Park, S Kim, J Kang IJCAI 20, 3301-3307, 2018 | 212 | 2018 |
| Uniondet: Union-level detector towards real-time human-object interaction detection B Kim, T Choi, J Kang, HJ Kim Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 175 | 2020 |
| Building a PubMed knowledge graph J Xu, S Kim, M Song, M Jeong, D Kim, J Kang, JF Rousseau, X Li, W Xu, ... Scientific data 7 (1), 205, 2020 | 173 | 2020 |
| Collabonet: collaboration of deep neural networks for biomedical named entity recognition W Yoon, CH So, J Lee, J Kang BMC bioinformatics 20, 55-65, 2019 | 170 | 2019 |
| Hats: A hierarchical graph attention network for stock movement prediction R Kim, CH So, M Jeong, S Lee, J Kim, J Kang arXiv preprint arXiv:1908.07999, 2019 | 160 | 2019 |
| Comparative study of name disambiguation problem using a scalable blocking-based framework BW On, D Lee, J Kang, P Mitra Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries …, 2005 | 158 | 2005 |
| Detection of masses in mammograms using a one-stage object detector based on a deep convolutional neural network H Jung, B Kim, I Lee, M Yoo, J Lee, S Ham, O Woo, J Kang PloS one 13 (9), e0203355, 2018 | 143 | 2018 |
| Biomedical entity representations with synonym marginalization M Sung, H Jeon, J Lee, J Kang arXiv preprint arXiv:2005.00239, 2020 | 138 | 2020 |
| A neural named entity recognition and multi-type normalization tool for biomedical text mining D Kim, J Lee, CH So, H Jeon, M Jeong, Y Choi, W Yoon, M Sung, J Kang IEEE Access 7, 73729-73740, 2019 | 136 | 2019 |
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