10 citations · 10 across the 2 of their papers we have counts for
4 papers · 1 filter
Seeing the Needle in the Haystack: Towards Weakly-Supervised Log Instance Anomaly Localization via Counterfactual Perturbation
Yutszyuk Wong, Wentai Wu, Yuen-Ying Yeung +1
Log anomaly detection is a critical task for system operations and security assurance. However, in networked systems at scale, log data are generated at massive scale while instanc…
Temporal Query Network for Efficient Multivariate Time Series Forecasting
Shengsheng Lin, Haojun Chen, Haijie Wu +2
Sufficiently modeling the correlations among variables (aka channels) is crucial for achieving accurate multivariate time series forecasting (MTSF). In this paper, we propose a nov…
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns
Shengsheng Lin, Weiwei Lin, Xinyi Hu +3
The stable periodic patterns present in time series data serve as the foundation for conducting long-horizon forecasts. In this paper, we pioneer the exploration of explicitly mode…
SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters
Shengsheng Lin, Weiwei Lin, Wentai Wu +2
This paper introduces SparseTSF, a novel, extremely lightweight model for Long-term Time Series Forecasting (LTSF), designed to address the challenges of modeling complex temporal…