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Youngeun Nam
Observed name:
Nam, Youngeun
Institutions:
Korea Advanced Institute of Science and Technology,
University of Toronto
Observed institutions:
Korea Advanced Institute of Science and Technology,
University of Toronto
ORCID:
0009-0008-8333-6488
Observed ORCID:
0009-0008-8333-6488
OpenAlex ID:
A5084818136
Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection
2024
·
Youngeun Nam
, Susik Yoon
, et al.
·
International World Wide Web Conference (WWW)
·
83
Universal Time-Series Representation Learning: A Survey
2026
·
Patara Trirat
, Yooju Shin
, et al.
·
ACM Computing Surveys
·
65
Hi-COVIDNet
2020
·
Minseok Kim
, Junhyeok Kang
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
·
30
Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses
2023
·
Youngeun Nam
, Patara Trirat
, et al.
·
Lecture notes in computer science
·
7
COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies
2022
·
Doyoung Kim
, Hyangsuk Min
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
6
AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series
2023
·
Patara Trirat
, Youngeun Nam
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
4
PDF
QuDAR: Query-Wise Dual-Perspective Adaptive Retrieval
2026
·
Joeun Kim
, Seunghyouk Yoon
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
3
PDF
TimelyRAG: Semantic-Temporal Hybrid Retrieval for Time-Critical Question Answering in Overlapping-Evolving Documents
2026
·
Youngeun Nam
, Joeun Kim
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
·
3
PDF
Semi-Supervised Learning for Time Series Collected at a Low Sampling Rate
2024
·
Minyoung Bae
, Yooju Shin
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
·
3
Mitigating Source Label Dependency in Time-Series Domain Adaptation under Label Shifts
2025
·
Jihye Na
, Youngeun Nam
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
·
1
PDF
Bi-Modal Learning for Networked Time Series
2025
·
Youngeun Nam
, Jihye Na
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
·
1
PDF
QuDAR: Query-Wise Dual-Perspective Adaptive Retrieval
2026
·
Association for Computational Linguistics 2026
, Kim, Doyoung
, et al.
·
Underline Science Inc.
Clustering-Based Balanced Sampling and Allocation with Data Parallelism for High-Performance Fine-Tuning
2026
·
Hyunjin Kim
, Youngeun Nam
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Mobility Networked Time-Series Forecasting Benchmark Datasets
2025
·
Jihye Na
, Youngeun Nam
, et al.
·
Proceedings of the International AAAI Conference on Web and Social Media
PDF
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Works count:
17
Citation count:
207
H-index:
5
I10-index:
3
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