| 2026 | AAAI | Continuum Dropout for Neural Differential Equations. | Jonghun Lee, YongKyung Oh, Sungil Kim, Dong-Young Lim |
| 2026 | AAAI | FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification. | YongKyung Oh, Dong-Young Lim, Sungil Kim |
| 2025 | AAAI | DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis. | YongKyung Oh, Dong-Young Lim, Sungil Kim |
| 2025 | CIKM | Modeling Irregular Astronomical Time Series with Neural Stochastic Delay Differential Equations. | Yongkyung Oh, Seungsu Kam, Dongyoung Lim, Sungil Kim |
| 2025 | CIKM | Neural Differential Equations for Continuous-Time Analysis. | Yongkyung Oh, Dongyoung Lim, Sungil Kim |
| 2025 | CIKM | TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification. | Yongkyung Oh, Dongyoung Lim, Sungil Kim, Alex A. T. Bui |
| 2025 | IJCAI | Comprehensive Review of Neural Differential Equations for Time Series Analysis. | YongKyung Oh, Seungsu Kam, Jonghun Lee, Dong-Young Lim, Sungil Kim, Alex A. T. Bui |
| 2024 | ICLR | Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data. | YongKyung Oh, Dongyoung Lim, Sungil Kim |