Yooju Shin

Orcid: 0000-0002-1395-9136

According to our database1, Yooju Shin authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Universal Time-Series Representation Learning: A Survey.
CoRR, 2024

Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection.
Proceedings of the ACM on Web Conference 2024, 2024

Semi-Supervised Learning for Time Series Collected at a Low Sampling Rate.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Adaptive Shortcut Debiasing for Online Continual Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Learning From Noisy Labels With Deep Neural Networks: A Survey.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Context Consistency Regularization for Label Sparsity in Time Series.
Proceedings of the International Conference on Machine Learning, 2023

2022
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Coherence-based Label Propagation over Time Series for Accelerated Active Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Meta-Learning for Online Update of Recommender Systems.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Multiple Dynamic Outlier-Detection from a Data Stream by Exploiting Duality of Data and Queries.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Robust Learning by Self-Transition for Handling Noisy Labels.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Accurate and Fast Federated Learning via IID and Communication-Aware Grouping.
CoRR, 2020

2019
CEP-Wizard: Automatic Deployment of Distributed Complex Event Processing.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019


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