PPaperPicks

Jae-Gil Lee

Korea Advanced Institute of Science and Technology (KAIST), Data Mining Lab, Daejeon, Korea

16 papers at tracked venues · 14 at CORE A* · active 2024–2025

DBLP profile ↗ORCID 0000-0002-8711-7732 ↗Google Scholar ↗Homepage ↗

Venues

AAAI ×3SIGKDD ×3ICLR ×2NeurIPS ×2WWW ×2CVPR ×1EMNLP ×1ICML ×1ICWSM ×1

Frequent coauthors

Hwanjun Song
×8
Youngeun Nam
×5
Susik Yoon
×5
Yooju Shin
×5
Byung Suk Lee
×4
Jihwan Bang
×4
Dongmin Park
×3
Jihye Na
×3
Junhyeok Kang
×3
Doyoung Kim
×3
Minyoung Bae
×3
Jaehyun Park
×2

Papers

  1. Active Learning for Continual Learning: Keeping the Past Alive in the Present
    ICLR 2025 ·
    Jaehyun Park
    ,
    Dongmin Park
    , Jae-Gil Lee
  2. Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection
    WWW 2025 ·
    Sungwon Park
    ,
    Sungwon Han
    ,
    Xing Xie
    , Jae-Gil Lee,
    Meeyoung Cha
  3. Bi-Modal Learning for Networked Time Series
    SIGKDD 2025 ·
    Youngeun Nam
    ,
    Jihye Na
    ,
    Susik Yoon
    ,
    Hwanjun Song
    , Jae-Gil Lee,
    Byung Suk Lee
  4. MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices
    EMNLP 2025 ·
    Patara Trirat
    , Jae-Gil Lee
  5. Mitigating Source Label Dependency in Time-Series Domain Adaptation under Label Shifts
    SIGKDD 2025 ·
    Jihye Na
    ,
    Youngeun Nam
    ,
    Junhyeok Kang
    , Jae-Gil Lee
  6. Mobility Networked Time-Series Forecasting Benchmark Datasets
    ICWSM 2025 ·
    Jihye Na
    ,
    Youngeun Nam
    ,
    Susik Yoon
    ,
    Hwanjun Song
    ,
    Byung Suk Lee
    , Jae-Gil Lee
  7. RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models
    ICLR 2025 ·
    Youngjun Lee
    ,
    Doyoung Kim
    ,
    Junhyeok Kang
    ,
    Jihwan Bang
    ,
    Hwanjun Song
    , Jae-Gil Lee
  8. Sample-Efficient Multi-Round Generative Data Augmentation for Long-Tail Instance Segmentation
    NeurIPS 2025 ·
    Byunghyun Kim
    ,
    Minyoung Bae
    , Jae-Gil Lee
  9. VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting
    AAAI 2025 ·
    Junhyeok Kang
    ,
    Yooju Shin
    , Jae-Gil Lee
  10. Active Prompt Learning in Vision Language Models
    CVPR 2024 ·
    Jihwan Bang
    ,
    Sumyeong Ahn
    , Jae-Gil Lee
  11. Adaptive Shortcut Debiasing for Online Continual Learning
    AAAI 2024 ·
    Doyoung Kim
    ,
    Dongmin Park
    ,
    Yooju Shin
    ,
    Jihwan Bang
    ,
    Hwanjun Song
    , Jae-Gil Lee
  12. Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection
    WWW 2024 ·
    Youngeun Nam
    ,
    Susik Yoon
    ,
    Yooju Shin
    ,
    Minyoung Bae
    ,
    Hwanjun Song
    , Jae-Gil Lee,
    Byung Suk Lee
  13. Exploiting Representation Curvature for Boundary Detection in Time Series
    NeurIPS 2024 ·
    Yooju Shin
    ,
    Jaehyun Park
    ,
    Susik Yoon
    ,
    Hwanjun Song
    ,
    Byung Suk Lee
    , Jae-Gil Lee
  14. One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
    ICML 2024 ·
    Doyoung Kim
    ,
    Susik Yoon
    ,
    Dongmin Park
    ,
    Youngjun Lee
    ,
    Hwanjun Song
    ,
    Jihwan Bang
    , Jae-Gil Lee
  15. Semi-Supervised Learning for Time Series Collected at a Low Sampling Rate
    SIGKDD 2024 ·
    Minyoung Bae
    ,
    Yooju Shin
    ,
    Youngeun Nam
    ,
    Youngseop Lee
    , Jae-Gil Lee
  16. Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise
    AAAI 2024 ·
    Hwanjun Song
    ,
    Minseok Kim
    , Jae-Gil Lee