Hi-COVIDNet: Deep learning approach to predict inbound COVID-19 patients and case study in South Korea M Kim, J Kang, D Kim, H Song, H Min, Y Nam, D Park, JG Lee Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 39 | 2020 |
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation M Kim, H Song, D Kim, S Kijung, J Lee AAAI, 2021 | 15 | 2021 |
Robust data pruning under label noise via maximizing re-labeling accuracy D Park, S Choi, D Kim, H Song, JG Lee Advances in Neural Information Processing Systems 36, 2024 | 14 | 2024 |
Covid-eenet: Predicting fine-grained impact of COVID-19 on local economies D Kim, H Min, Y Nam, H Song, S Yoon, M Kim, JG Lee Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 11971 …, 2022 | 9 | 2022 |
Adaptive Shortcut Debiasing for Online Continual Learning D Kim, D Park, Y Shin, J Bang, H Song, JG Lee Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13122 …, 2024 | 2 | 2024 |
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning D Kim, S Yoon, D Park, Y Lee, H Song, J Bang, JG Lee arXiv preprint arXiv:2311.12048, 2023 | 1 | 2023 |