3 papers
stat.ML2026
Hopformer: Homogeneity-Pursuit Transformer for Time Series Forecasting
Wan Zhang, Qinjie Lin, Chan Lee +3
Forecasting multiple time-series with high-dimensional covariates presents a core challenge: unifying common temporal patterns while retaining meaningful series-specific informatio…
astro-ph.SR2025
StarEmbed: Benchmarking Time Series Foundation Models on Astronomical Observations of Variable Stars
Weijian Li, Hong-Yu Chen, Nabeel Rehemtulla +6
Current time series foundation model (TSFM) training corpora largely omit data with certain complexities like irregular temporal sampling. Astronomical time series of stellar fluxe…
cs.CR2024
Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion Detection
Lingzhi Wang, Xiangmin Shen, Weijian Li +4
As cyber attacks grow increasingly sophisticated and stealthy, it becomes more imperative and challenging to detect intrusion from normal behaviors. Through fine-grained causality…