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Guozhong Li

2 accepted papers

2023

SVP-T: A Shape-Level Variable-Position Transformer for Multivariate Time Series Classification

AAAI 2023technical

Multivariate time series classification (MTSC), one of the most fundamental time series applications, has not only gained substantial research attentions but has also emerged in many real-life applications. Recently, using transformers to solve MTSC has been reported. However, current transformer-bas…

Cited by 36SourcePDFScholar
2021

ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification

AAAI 2021technical

Time series shapelets are short discriminative subsequences that recently have been found not only to be accurate but also interpretable for the classification problem of univariate time series (UTS). However, existing work on shapelets selection cannot be applied to multivariate time series classif…

Cited by 146SourcePDFScholar