| 2024 | KDD | Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization. | Sheo Yon Jhin, Seojin Kim, Noseong Park |
| 2023 | AAAI | Learnable Path in Neural Controlled Differential Equations. | Sheo Yon Jhin, Minju Jo, Seungji Kook, Noseong Park |
| 2023 | KDD | Precursor-of-Anomaly Detection for Irregular Time Series. | Sheo Yon Jhin, Jaehoon Lee, Noseong Park |
| 2022 | ICLR | 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 |
| 2022 | WWW | 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 |
| 2021 | AAAI | DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation. | Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jhin, Noseong Park |
| 2021 | ICDM | 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 |
| 2021 | KDD | ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations. | Sheo Yon Jhin, Minju Jo, Taeyong Kong, Jinsung Jeon, Noseong Park |