2 papers
cs.CV2025
STEAD: Spatio-Temporal Efficient Anomaly Detection for Time and Compute Sensitive Applications
Andrew Gao, Jun Liu
This paper presents a new method for anomaly detection in automated systems with time and compute sensitive requirements, such as autonomous driving, with unparalleled efficiency.…
cs.CL2024
Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection
Jun Liu, Chaoyun Zhang, Jiaxu Qian +6
Time series anomaly detection (TSAD) plays a crucial role in various industries by identifying atypical patterns that deviate from standard trends, thereby maintaining system integ…