| 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 |
| 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 | 6 | 2024 |
| Anomalous Trajectory Detection Based on Seq2Seq Auto-Encoder HS Kim, JH Kang, HW Moon, JG Lee Journal of Korean Society for Geospatial Information Science 28 (1), 35-40, 2020 | 4 | 2020 |
| A survey on deep learning-based anomaly detection models for time series data Y Yao, J Kang, JG Lee Korea Computer Congress, 919-921, 2019 | 2 | 2019 |
| Method and apparatus for predicting imported infectious disease information based on deep neural networks J Lee, M Kim, J Kang, D Kim, S Hwanjun, MIN Hyangsuk, NAM Youngeun, ... US Patent 11,557,401, 2023 | 1 | 2023 |
| Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases D Park, J Kang, H Song, S Yoon, JG Lee 2022 IEEE International Conference on Data Mining (ICDM), 1137-1142, 2022 | 1 | 2022 |
| Robust Sequential Variational Autoencoder for Multivariate Time Series Anomaly Detection Y Yao, J Kang, JG Lee, J Kim, K Seo Workshop AI for Internet of Things, in conjunction with IJCAI-PRICAI 2020, 2021 | 1 | 2021 |
| Reinforcement Learning for Time Series Forecasting M Bae, J Park, Y Seo, J Kang, JG Lee 한국정보과학회 학술발표논문집, 786-788, 2024 | | 2024 |
| Linear Probing without Pre-Training for Time Series Forecasting J Kang, M Bae, Y Kim, JG Lee Korea Computer Congress, 828 - 830, 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 Korea Computer Congress, 608-610, 2023 | | 2023 |
| Contrastive Learning with Segment Supervision for Semi-supervised Time Series Classification Y Shin, D Park, J Kang, S Kim Korea Software Congress, 842-843, 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 |
| Vessel Trajectory Periodic Pattern Mining by using AIS data J Na, J Kang, M Bae, Y Nam, JG Lee Korea Software Congress, 111-113, 2021 | | 2021 |
| ActiveBoostThief: Model Extraction Attack Using Reliable Active Learning Y Nam, J Kang, JG Lee Korea Computer Congress, 594-596, 2021 | | 2021 |
| Deep Grid Embedding using a Road Network Topology for Route Prediction J Kang, JG Lee, B Kim, S Lee Database Research 36 (1), 57-73, 2020 | | 2020 |
| Analysis of Trajectory Encoding Methodology Analysis Based on Experimental Evaluation for Deep Learning J Kang, M Kim, JG Lee KIISE Transactions on Computing Practices, KTCP 25 (8), 402-406, 2019 | | 2019 |
Youngeun NamKAIST在 kaist.ac.kr 的电子邮件经过验证
