7 citations · 7 across the 4 of their papers we have counts for
4 papers
PRISM: Dynamic Primitive-Based Forecasting for Large-Scale GPU Cluster Workloads
Xin Wu, Fei Teng, Xingwang Li +2
Accurately forecasting GPU workloads is essential for AI infrastructure, enabling efficient scheduling, resource allocation, and power management. Modern workloads are highly volat…
ERIS: An Energy-Guided Feature Disentanglement Framework for Out-of-Distribution Time Series Classification
Xin Wu, Fei Teng, Ji Zhang +2
An ideal time series classification (TSC) should be able to capture invariant representations, but achieving reliable performance on out-of-distribution (OOD) data remains a core o…
Out-of-Distribution Generalization in Time Series: A Survey
Xin Wu, Fei Teng, Xingwang Li +3
Time series frequently manifest distribution shifts, diverse latent features, and non-stationary learning dynamics, particularly in open and evolving environments. These characteri…
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction
Zeyang Zhang, Xingwang Li, Fei Teng +4
Human albumin is essential for indicating the body's overall health. Accurately predicting plasma albumin levels and determining appropriate doses are urgent clinical challenges, p…