Youngeun Nam
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
5
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | QuDAR: Query-Wise Dual-Perspective Adaptive Retrieval. | Joeun Kim, Seunghyouk Yoon, Xuan-Bach Le, Youngeun Nam, Doyoung Kim, Hwanjun Song, Jae-Gil Lee |
| 2025 | ICWSM | Mobility Networked Time-Series Forecasting Benchmark Datasets. | Jihye Na, Youngeun Nam, Susik Yoon, Hwanjun Song, Byung Suk Lee, Jae-Gil Lee |
| 2025 | KDD | Bi-Modal Learning for Networked Time Series. | Youngeun Nam, Jihye Na, Susik Yoon, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee |
| 2025 | KDD | Mitigating Source Label Dependency in Time-Series Domain Adaptation under Label Shifts. | Jihye Na, Youngeun Nam, Junhyeok Kang, 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 | AAAI | AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series. | Patara Trirat, Youngeun Nam, Taeyoon Kim, Jae-Gil Lee |
| 2022 | AAAI | 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 |
| 2020 | KDD | 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 |