Youngeun Nam

According to our database, Youngeun Nam authored at least 12 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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

ACM Comput. Surv., September, 2026

QuDAR: Query-Wise Dual-Perspective Adaptive Retrieval.

Joeun Kim, Seunghyouk Yoon, Xuan-Bach Le, Youngeun Nam, Doyoung Kim, Hwanjun Song, Jae-Gil Lee

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Bi-Modal Learning for Networked Time Series.

Youngeun Nam, Jihye Na, Susik Yoon, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Mitigating Source Label Dependency in Time-Series Domain Adaptation under Label Shifts.

Jihye Na, Youngeun Nam, Junhyeok Kang, Jae-Gil Lee

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Mobility Networked Time-Series Forecasting Benchmark Datasets.

Jihye Na, Youngeun Nam, Susik Yoon, Hwanjun Song, Byung Suk Lee, Jae-Gil Lee

Proceedings of the Nineteenth International AAAI Conference on Web and Social Media, 2025

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, Byung Suk Lee

Proceedings of the ACM on Web Conference 2024, 2024

Semi-Supervised Learning for Time Series Collected at a Low Sampling Rate.

Minyoung Bae, Yooju Shin, Youngeun Nam, Youngseop Lee, Jae-Gil Lee

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses.

Youngeun Nam, Patara Trirat, Taeyoon Kim, Youngseop Lee, Jae-Gil Lee

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series.

Patara Trirat, Youngeun Nam, Taeyoon Kim, Jae-Gil Lee

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Korean Online Hate Speech Dataset for Multilabel Classification: How Can Social Science Improve Dataset on Hate Speech?

Taeyoung Kang, Eunrang Kwon, Junbum Lee, Youngeun Nam, Junmo Song, JeongKyu Suh

CoRR, 2022

COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies.

Doyoung Kim, Hyangsuk Min, Youngeun Nam, Hwanjun Song, Susik Yoon, Minseok Kim, Jae-Gil Lee

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea.

Minseok Kim, Junhyeok Kang, Doyoung Kim, Hwanjun Song, Hyangsuk Min, Youngeun Nam, Dongmin Park, Jae-Gil Lee

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020