| 2026 | ACL | MERIT Feedback Elicits Better Bargaining in LLM Negotiators. | Jihwan Oh, Murad Aghazada, Yooju Shin, Se-Young Yun, Taehyeon Kim |
| 2025 | AAAI | VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting. | Junhyeok Kang, Yooju Shin, Jae-Gil Lee |
| 2024 | AAAI | Adaptive Shortcut Debiasing for Online Continual Learning. | Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee |
| 2024 | KDD | Semi-Supervised Learning for Time Series Collected at a Low Sampling Rate. | Minyoung Bae, Yooju Shin, Youngeun Nam, Youngseop Lee, Jae-Gil Lee |
| 2024 | WWW | Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection. | Youngeun Nam, Susik Yoon, Yooju Shin, Minyoung Bae, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee |
| 2023 | ICML | Context Consistency Regularization for Label Sparsity in Time Series. | Yooju Shin, Susik Yoon, Hwanjun Song, Dongmin Park, Byunghyun Kim, Jae-Gil Lee, Byung Suk Lee |
| 2022 | AAAI | Meta-Learning for Online Update of Recommender Systems. | Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee |
| 2022 | ICLR | Coherence-based Label Propagation over Time Series for Accelerated Active Learning. | Yooju Shin, Susik Yoon, Sundong Kim, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee |
| 2021 | KDD | Robust Learning by Self-Transition for Handling Noisy Labels. | Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee |
| 2021 | SIGMOD | Multiple Dynamic Outlier-Detection from a Data Stream by Exploiting Duality of Data and Queries. | Susik Yoon, Yooju Shin, Jae-Gil Lee, Byung Suk Lee |
| 2019 | ICDE | CEP-Wizard: Automatic Deployment of Distributed Complex Event Processing. | Yooju Shin, Susik Yoon, Patara Trirat, Jae-Gil Lee |