Sheo Yon Jhin

@Bigdyl Lab, Yonsei University

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About Me

I graduated from Sookmyung Women's University IT engineering in Seoul. I am a first-year Ph.D. student in the Department of Artificial Intelligence at Yonsei University in Seoul. The main areas of interest in research are time series classification and prediction based on differential equation-based models.

Interests

Time Series

Anomaly Detection

Differential Equations

Data Mining

Publications

A paper, titled "Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting," was accepted in the Web Conference (WWW) 2022. WWW 2022

A paper, titled "Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting" was accepted by the IEEE International Conference on Data Mining(ICDM) 2021. ICDM 2021

A paper, titled "ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations" was accepted by the ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD) 2021. KDD 2021

A paper, titled "DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation" was accepted by the AAAI Conference on Artificial Intelligence(AAAI) 2021. AAAI 2021

Our laboratory link

BigDyL