Jhin Sheo yon
IT ALL BEGINS WITH AN IDEA
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IT ALL BEGINS WITH AN IDEA ✦
About me
Ph.D. Student, Computer Engineering, KAIST
Big Data & Dynamic Learning Lab (BigDyL)
Advisor: Prof. Noseong Park
I am a Ph.D. student in the Computer Engineering Department at KAIST. I received my B.S. in IT Engineering from Sookmyung Women's University and my M.S. in Artificial Intelligence from Yonsei University. My research interests include time-series analysis, anomaly detection, and deep learning models based on differential equations.
E-mail : sheoyon.jhin@kaist.ac.kr
Research Advisor : Noseong Park
Ph.D student @BigDyL
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KDD 2021 - ACE-NODE
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WWW 2022 - EXIT
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AAAI 2023 - LEAP
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KDD 2023 - PAD
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KDD 2024 - CONTIME
News
"Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization", KDD 2024, Sheo Yon Jhin, Seojin Kim, and Noseong Park
"Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting", KAIS Journal 2024( IF=3.205 ), Sheo Yon Jhin, Heejoo Shin, Sujie Kim, Seoyoung Hong, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, and Seungmin Jeon
Selected as a reviewer for ICLR 2023
Selected as a reviewer for NeurIPS 2023
"Precursor-of-Anomaly Detection for Irregular Time Series", KDD 2023, SheoYon Jhin, Jaehoon Lee, Noseong Park
"Learnable Path in Neural Controlled Differential Equations", AAAI 2023, Sheo Yon Jhin, Minju Jo, Seungji Kook, Noseong Park
"LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations", ICLR 2022, Jaehoon Lee, Jinsung Jeon, Sheo yon Jhin, Jihyeon Hyeong, Jayoung Kim, Minju Jo, Seungji Kook, and Noseong Park
"EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting", WWW 2022, Sheo Yon Jhin, Jaehoon Lee, Minju Jo, Seungji Kook, Jinsung Jeon, Jihyeon Hyeong, Jayoung Kim and Noseong Park
"Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting", ICDM 2021, Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Solhee Park, and Noseong Park
"ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations", KDD 2021, Sheo Yon Jhin, Minju Jo, Taeyong Kong, Jinsung Jeong, and Noseong Park
"DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation", AAAI 2021, Jungeun kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jhin, and Noseong Park
Research Interests
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Differential-equation based models create better hidden representation than other conventional models
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Irregular time series
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In time-series forecasting, many model has delay effects
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Precursor-of-Anomaly detection
IT ALL BEGINS WITH AN IDEA
✦
IT ALL BEGINS WITH AN IDEA ✦