Sheo Yon Jin

According to our database, Sheo Yon Jin authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Attentive neural controlled differential equations for time-series classification and forecasting.

Sheo Yon Jhin, Heejoo Shin, Sujie Kim, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon

Knowl. Inf. Syst., March, 2024

Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization.

Sheo Yon Jhin, Seojin Kim, Noseong Park

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Learnable Path in Neural Controlled Differential Equations.

Sheo Yon Jhin, Minju Jo, Seungji Kook, Noseong Park, Sungpil Woo, Sunhwan Lim

CoRR, 2023

Precursor-of-Anomaly Detection for Irregular Time Series.

Sheo Yon Jhin, Jaehoon Lee, Noseong Park

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learnable Path in Neural Controlled Differential Equations.

Sheo Yon Jhin, Minju Jo, Seungji Kook, Noseong Park

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting.

Sheo Yon Jhin, Jaehoon Lee, Minju Jo, Seungji Kook, Jinsung Jeon, Jihyeon Hyeong, Jayoung Kim, Noseong Park

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations.

Jaehoon Lee, Jinsung Jeon, Sheo Yon Jhin, Jihyeon Hyeong, Jayoung Kim, Minju Jo, Seungji Kook, Noseong Park

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting.

Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Solhee Park, Noseong Park

CoRR, 2021

ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations.

Sheo Yon Jhin, Minju Jo, Taeyong Kong, Jinsung Jeon, Noseong Park

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting.

Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon

Proceedings of the IEEE International Conference on Data Mining, 2021

DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation.

Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jhin, Noseong Park

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021