3 papers
cs.LG2026
SMKC: Sketch Based Kernel Correlation Images for Variable Cardinality Time Series Anomaly Detection
Haokun Zhou
Conventional anomaly detection in multivariate time series relies on the assumption that the set of observed variables remains static. In operational environments, however, monitor…
physics.ao-ph2025
Concept drift of simple forecast models as a diagnostic of low-frequency, regime-dependent atmospheric reorganisation
Haokun Zhou
Data-driven weather prediction models implicitly assume that the statistical relationship between predictors and targets is stationary. Under anthropogenic climate change, this ass…
cs.LG2025
Improving Long-term Autoregressive Spatiotemporal Predictions: A Proof of Concept with Fluid Dynamics
Hao Zhou, Sibo Cheng
Data-driven methods are emerging as efficient alternatives to traditional numerical forecasting, offering fast inference and lower computational cost. Yet, for complex systems, lon…