| Learning from noisy labels with deep neural networks: A survey H Song, M Kim, D Park, Y Shin, JG Lee arXiv preprint arXiv:2007.08199, 2020 | 1285 | 2020 |
| Robust learning by self-transition for handling noisy labels H Song, M Kim, D Park, Y Shin, JG Lee Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 46 | 2021 |
| Accurate and fast federated learning via IID and communication-aware grouping J Lee, J Oh, Y Shin, JG Lee, SY Yoon arXiv preprint arXiv:2012.04857, 2020 | 22 | 2020 |
| Meta-query-net: Resolving purity-informativeness dilemma in open-set active learning D Park, Y Shin, J Bang, Y Lee, H Song, JG Lee Advances in Neural Information Processing Systems 35, 31416-31429, 2022 | 20 | 2022 |
| Meta-learning for online update of recommender systems M Kim, H Song, Y Shin, D Park, K Shin, JG Lee Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4065-4074, 2022 | 19 | 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 | 18 | 2024 |
| Multiple dynamic outlier-detection from a data stream by exploiting duality of data and queries S Yoon, Y Shin, JG Lee, BS Lee Proceedings of the 2021 International Conference on Management of Data, 2063 …, 2021 | 18 | 2021 |
| Coherence-based label propagation over time series for accelerated active learning Y Shin, S Yoon, S Kim, H Song, JG Lee, BS Lee International Conference on Learning Representations, 2021 | 16 | 2021 |
| 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 Web Conference 2024, 4204-4215, 2024 | 8 | 2024 |
| Context consistency regularization for label sparsity in time series Y Shin, S Yoon, H Song, D Park, B Kim, JG Lee, BS Lee International Conference on Machine Learning, 31579-31595, 2023 | 8 | 2023 |
| CEP-Wizard: Automatic deployment of distributed complex event processing Y Shin, S Yoon, P Trirat, JG Lee 2019 IEEE 35th International Conference on Data Engineering (ICDE), 2004-2007, 2019 | 6 | 2019 |
| 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 | 2 | 2024 |
| 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 |
| Exploiting Representation Curvature for Boundary Detection in Time Series Y Shin, J Park, S Yoon, H Song, BS Lee, JG Lee Advances in Neural Information Processing Systems 37, 5974-5995, 2025 | 1 | 2025 |
| Cross-Window Self-Training via Context Variations from Sparsely-Labeled Time Series Y Shin, S Yoon, H Song, JG Lee, BS Lee | 1 | 2022 |
| Generating a machine learning model with a few sentences P Trirat, Y Shin, S Kim, M Kim 한국정보과학회 학술발표논문집, 688-690, 2021 | 1 | 2021 |
| VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting J Kang, Y Shin, JG Lee arXiv preprint arXiv:2501.14183, 2025 | | 2025 |
| Collaborative Aspect-Based Sentimental Analysis Using Category Y Byeon, M Bae, Y Shin, Y Seo, B Kim 한국정보과학회 학술발표논문집, 697-699, 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 |
| 대화를 통한 머신 러닝 모델 생성 P TRIRAT, Y Shin, S Kim, MS Kim 2021 년 한국소프트웨어종합학술대회, 688-690, 2021 | | 2021 |
