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Y. Xun

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Open access Oct 2026

Adaptive Multi‐Axis Partitioning and Data Pruning for Parallel Outlier Detection in Large‐Scale High‐Dimensional Data

With the explosive growth of large‐scale, high‐dimensional data in fields such as finance, IoT, and bioinformatics, parallel outlier detection has become essential for efficiently identifying outliers while enabling scalable processing. However, most existing approaches suffer from high interdependency between comput...

Jian-Ying Liu, Y. Xun, Jiang-Tao Xu et al. · 0 citations
Jul 2026

MFSNet: lightweight multi-scale MLP-guided frequency suppression network for multivariate time series forecasting

This paper proposes MFSNet, a lightweight forecasting framework that combines hidden-space multi-scale representation learning with differentiable frequency-domain suppression, and shows its potential as a practical lightweight solution for multivariate time series forecasting.

Y. Xun, Jiaxin Dou, Hai-Feng Yang et al. · 0 citations

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