CEP-Wizard: Automatic Deployment of Distributed Complex Event Processing. - Yooju Shin; Susik Yoon; Patara Trirat; Jae-Gil Lee 001 (ICDE, 2019)

Accurate and Fast Federated Learning via IID and Communication-Aware Grouping. - Jin-Woo Lee; Jaehoon Oh; Yooju Shin; Jae-Gil Lee 001; Se-Young Yoon (CoRR, 2020)

Robust Learning by Self-Transition for Handling Noisy Labels. - Hwanjun Song; Minseok Kim; Dongmin Park; Yooju Shin; Jae-Gil Lee 001 (KDD, 2021)

Multiple Dynamic Outlier-Detection from a Data Stream by Exploiting Duality of Data and Queries. - Susik Yoon; Yooju Shin; Jae-Gil Lee 001; Byung Suk Lee 001 (SIGMOD Conference, 2021)

Meta-Learning for Online Update of Recommender Systems. - Minseok Kim; Hwanjun Song; Yooju Shin; Dongmin Park; Kijung Shin; Jae-Gil Lee 001 (AAAI, 2022)

Coherence-based Label Propagation over Time Series for Accelerated Active Learning. - Yooju Shin; Susik Yoon; Sundong Kim; Hwanjun Song; Jae-Gil Lee 001; Byung Suk Lee 001 (ICLR, 2022)

Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning. - Dongmin Park; Yooju Shin; Jihwan Bang; Youngjun Lee; Hwanjun Song; Jae-Gil Lee 001 (NeurIPS, 2022)

Context Consistency Regularization for Label Sparsity in Time Series. - Yooju Shin; Susik Yoon; Hwanjun Song; Dongmin Park; Byunghyun Kim; Jae-Gil Lee 001; Byung Suk Lee 001 (ICML, 2023)

Learning From Noisy Labels With Deep Neural Networks: A Survey. - Hwanjun Song; Minseok Kim; Dongmin Park; Yooju Shin; Jae-Gil Lee 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Adaptive Shortcut Debiasing for Online Continual Learning. - Doyoung Kim; Dongmin Park; Yooju Shin; Jihwan Bang; Hwanjun Song; Jae-Gil Lee 001 (AAAI, 2024)

Semi-Supervised Learning for Time Series Collected at a Low Sampling Rate. - Minyoung Bae; Yooju Shin; Youngeun Nam; Youngseop Lee; Jae-Gil Lee 001 (KDD, 2024)

Exploiting Representation Curvature for Boundary Detection in Time Series. - Yooju Shin; Jaehyun Park; Susik Yoon; Hwanjun Song; Byung Suk Lee 001; Jae-Gil Lee 001 (NeurIPS, 2024)

Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection. - Youngeun Nam; Susik Yoon; Yooju Shin; Minyoung Bae; Hwanjun Song; Jae-Gil Lee 001; Byung Suk Lee 001 (WWW, 2024)

Universal Time-Series Representation Learning: A Survey. - Patara Trirat; Yooju Shin; Junhyeok Kang; Youngeun Nam; Jihye Na; Minyoung Bae; Joeun Kim; Byunghyun Kim; Jae-Gil Lee 001 (CoRR, 2024)

VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting. - Junhyeok Kang; Yooju Shin; Jae-Gil Lee 001 (AAAI, 2025)