| 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 | 40* | 2020 |
| 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 |
| Universal time-series representation learning: A survey P Trirat, Y Shin, J Kang, Y Nam, J Na, M Bae, J Kim, B Kim, JG Lee arXiv preprint arXiv:2401.03717, 2024 | 4 | 2024 |
| Context-aware deep time-series decomposition for anomaly detection in businesses Y Nam, P Trirat, T Kim, Y Lee, JG Lee Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 3 | 2023 |
| Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection Y Nam, S Yoon, Y Shin, M Bae, H Song, JG Lee, BS Lee Proceedings of the ACM on Web Conference 2024, 4204-4215, 2024 | 1 | 2024 |
| ANOVIZ: a visual inspection tool of anomalies in multivariate time series P Trirat, Y Nam, T Kim, JG Lee Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16488 …, 2023 | 1 | 2023 |
| Semi-Supervised Learning for Time Series Collected at a Low Sampling Rate M Bae, Y Shin, Y Nam, YS Lee, JG Lee Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
| An Empirical Investigation of Deep Learning Models for Defect Classification in Solar Cells Electroluminescence H Shin, J Kang, I Akbar, S Choi, Y Nam, JG Lee 한국정보과학회 학술발표논문집, 608-610, 2023 | | 2023 |
| User-Adaptive Ranking System on Mobile Trading Applications T Kim, M Bae, H Jung, Y Nam, Y Shin, H Min 한국정보과학회 학술발표논문집, 1459-1461, 2022 | | 2022 |
| Method and apparatus for predicting imported infectious disease information based on deep neural networks D Park, Y Nam, H Min, H Song, D Kim, J Kang, MS Kim, JG Lee US, 2022 | | 2022 |
| Time-series anomaly detection with context-aware decomposition Y Nam 한국과학기술원, 2022 | | 2022 |
| AIS 데이터를 활용한 선박 궤적의 주기적 패턴 마이닝 나지혜， 강준혁， 배민영， 남영은， 이재길 한국정보과학회 학술발표논문집, 111-113, 2021 | | 2021 |
| ActiveBoostThief: Model Extraction Attack Using Reliable Active Learning Y Nam, J Kang, JG Lee 한국정보과학회 학술발표논문집, 594-596, 2021 | | 2021 |
Jae-Gil LeeProfessor, School of Computing, KAIST在 kaist.ac.kr 的电子邮件经过验证
