3 papers
cs.LG2026
Bridging Classification and Reconstruction: Cooperative Time Series Anomaly Detection
Qideng Tang, Dai Chaofan, Wubin Ma +5
Time series anomaly detection (TSAD) has long been a hot research topic in data mining due to its various applications. Recent studies challenge the effectiveness of popular deep l…
cs.LG2026
DQE: A Semantic-Aware Evaluation Metric for Time Series Anomaly Detection
Yuewei Li, Dalin Zhang, Huan Li +3
Time series anomaly detection has achieved remarkable progress in recent years. However, evaluation practices have received comparatively less attention, despite their critical imp…
cs.CV2025
Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection
Luosheng Xu, Dalin Zhang, Zhaohui Song
Remote sensing change detection is essential for monitoring urban expansion, disaster assessment, and resource management, offering timely, accurate, and large-scale insights into…