| What changes can large-scale language models bring? intensive study on hyperclova: Billions-scale korean generative pretrained transformers B Kim arXiv preprint arXiv:2109.04650, 2021 | 114 | 2021 |
| Metropolis-hastings data augmentation for graph neural networks H Park, S Lee, S Kim, J Park, J Jeong, KM Kim, JW Ha, HJ Kim Advances in Neural Information Processing Systems 34, 19010-19020, 2021 | 57 | 2021 |
| Scaling law for recommendation models: Towards general-purpose user representations K Shin, H Kwak, SY Kim, MN Ramström, J Jeong, JW Ha, KM Kim Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4596-4604, 2023 | 32 | 2023 |
| Excluded vertex-minors for graphs of linear rank-width at most k J Jeong, O Kwon, S Oum European Journal of Combinatorics 41, 242-257, 2014 | 28 | 2014 |
| One4all user representation for recommender systems in e-commerce K Shin, H Kwak, KM Kim, M Kim, YJ Park, J Jeong, S Jung arXiv preprint arXiv:2106.00573, 2021 | 27 | 2021 |
| Finding branch-decompositions of matroids, hypergraphs, and more J Jeong, EJ Kim, S Oum SIAM Journal on Discrete Mathematics 35 (4), 2544-2617, 2021 | 24 | 2021 |
| Constructive algorithm for path-width of matroids J Jeong, EJ Kim, S Oum Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete …, 2016 | 22 | 2016 |
| (1, k)‐Coloring of Graphs with Girth at Least Five on a Surface H Choi, I Choi, J Jeong, G Suh Journal of Graph Theory 84 (4), 521-535, 2017 | 18* | 2017 |
| Maximum matching width: New characterizations and a fast algorithm for dominating set J Jeong, SH Sæther, JA Telle Discrete Applied Mathematics 248, 114-124, 2018 | 15 | 2018 |
| The “art of trellis decoding” is fixed-parameter tractable J Jeong, EJ Kim, S Oum IEEE Transactions on Information Theory 63 (11), 7178-7205, 2017 | 15 | 2017 |
| Relation-aware language-graph transformer for question answering J Park, HK Choi, J Ko, H Park, JH Kim, J Jeong, K Kim, H Kim Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 13457 …, 2023 | 10 | 2023 |
| Deformable graph transformer J Park, S Yun, H Park, J Kang, J Jeong, KM Kim, JW Ha, HJ Kim arXiv preprint arXiv:2206.14337, 2022 | 10 | 2022 |
| Maximum matching width: new characterizations and a fast algorithm for dominating set J Jeong, SH Sæther, JA Telle arXiv preprint arXiv:1507.02384, 2015 | 10 | 2015 |
| Computing small pivot-minors KK Dabrowski, F Dross, J Jeong, MM Kanté, O Kwon, S Oum, D Paulusma Graph-Theoretic Concepts in Computer Science: 44th International Workshop …, 2018 | 9 | 2018 |
| Global-local item embedding for temporal set prediction S Jung, YJ Park, J Jeong, KM Kim, H Kim, M Kim, H Kwak Proceedings of the 15th ACM Conference on Recommender Systems, 674-679, 2021 | 6 | 2021 |
| Tree pivot-minors and linear rank-width KK Dabrowski, F Dross, J Jeong, MM Kante, O Kwon, S Oum, D Paulusma SIAM Journal on Discrete Mathematics 35 (4), 2922-2945, 2021 | 6 | 2021 |
| Pivotal role of language modeling in recommender systems: Enriching task-specific and task-agnostic representation learning K Shin, H Kwak, W Kim, J Jeong, S Jung, KM Kim, JW Ha, SW Lee arXiv preprint arXiv:2212.03760, 2022 | 5 | 2022 |
| div2vec: diversity-emphasized node embedding J Jeong, JM Yun, H Keam, YJ Park, Z Park, J Cho arXiv preprint arXiv:2009.09588, 2020 | 5 | 2020 |
| Characterizing graphs of maximum matching width at most 2 J Jeong, S Ok, G Suh Discrete Applied Mathematics 248, 102-113, 2018 | 5 | 2018 |
| Learning augmentation for GNNs with consistency regularization H Park, S Lee, D Hwang, J Jeong, KM Kim, JW Ha, HJ Kim IEEE access 9, 127961-127972, 2021 | 4 | 2021 |
