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ORCIDSheo Yon Jin
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2020 – today
- 2024
[j1]Sheo Yon Jhin
, Heejoo Shin, Sujie Kim, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon:
Attentive neural controlled differential equations for time-series classification and forecasting. Knowl. Inf. Syst. 66(3): 1885-1915 (2024)- [c8]Sheo Yon Jhin, Seojin Kim, Noseong Park:
Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization. KDD 2024: 1234-1245 - [i8]Sheo Yon Jhin, Seojin Kim, Noseong Park:
Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization. CoRR abs/2407.01622 (2024) - 2023
- [c7]Sheo Yon Jhin, Minju Jo, Seungji Kook, Noseong Park:
Learnable Path in Neural Controlled Differential Equations. AAAI 2023: 8014-8022 - [c6]Sheo Yon Jhin, Jaehoon Lee, Noseong Park:
Precursor-of-Anomaly Detection for Irregular Time Series. KDD 2023: 917-929 - [i7]Sheo Yon Jhin, Minju Jo, Seungji Kook, Noseong Park, Sungpil Woo, Sunhwan Lim:
Learnable Path in Neural Controlled Differential Equations. CoRR abs/2301.04333 (2023) - [i6]Sheo Yon Jhin, Jaehoon Lee, Noseong Park:
Precursor-of-Anomaly Detection for Irregular Time Series. CoRR abs/2306.15489 (2023) - 2022
- [c5]Jaehoon Lee, Jinsung Jeon, Sheo Yon Jhin, Jihyeon Hyeong, Jayoung Kim, Minju Jo, Seungji Kook, Noseong Park:
LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations. ICLR 2022 - [c4]Sheo Yon Jhin, Jaehoon Lee, Minju Jo, Seungji Kook, Jinsung Jeon, Jihyeon Hyeong, Jayoung Kim, Noseong Park:
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting. WWW 2022: 3102-3112 - [i5]Sheo Yon Jhin, Jaehoon Lee, Minju Jo, Seungji Kook, Jinsung Jeon, Jihyeon Hyeong, Jayoung Kim, Noseong Park:
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting. CoRR abs/2204.08771 (2022) - [i4]Jaehoon Lee, Jinsung Jeon, Sheo Yon Jhin, Jihyeon Hyeong, Jayoung Kim, Minju Jo, Seungji Kook, Noseong Park:
LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations. CoRR abs/2204.08781 (2022) - 2021
- [c3]Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jhin, Noseong Park:
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation. AAAI 2021: 8146-8154 - [c2]Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon:
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting. ICDM 2021: 250-259 - [c1]Sheo Yon Jhin, Minju Jo, Taeyong Kong, Jinsung Jeon, Noseong Park:
ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations. KDD 2021: 736-745 - [i3]Sheo Yon Jhin, Minju Jo, Taeyong Kong, Jinsung Jeon, Noseong Park:
ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations. CoRR abs/2105.14953 (2021) - [i2]Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Solhee Park, Noseong Park:
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting. CoRR abs/2109.01876 (2021) - 2020
- [i1]Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jin, Noseong Park:
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation. CoRR abs/2012.02681 (2020)
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