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Dong-Young Lim

9 papers at tracked venues · 5 at CORE A* · active 2024–2026

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Venues

AAAI ×3CIKM ×3ICLR ×1IJCAI ×1NeurIPS ×1

Frequent coauthors

YongKyung Oh
×8
Sungil Kim
×8
Jonghun Lee
×2
Seungsu Kam
×2
Alex A. T. Bui
×2
Youngsik Hwang
×1

Papers

  1. Continuum Dropout for Neural Differential Equations
    AAAI 2026 ·
    Jonghun Lee
    ,
    YongKyung Oh
    ,
    Sungil Kim
    , Dong-Young Lim
  2. FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification
    AAAI 2026 ·
    YongKyung Oh
    , Dong-Young Lim,
    Sungil Kim
  3. Comprehensive Review of Neural Differential Equations for Time Series Analysis
    IJCAI 2025 ·
    YongKyung Oh
    ,
    Seungsu Kam
    ,
    Jonghun Lee
    , Dong-Young Lim,
    Sungil Kim
    ,
    Alex A. T. Bui
  4. DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis
    AAAI 2025 ·
    YongKyung Oh
    , Dong-Young Lim,
    Sungil Kim
  5. Modeling Irregular Astronomical Time Series with Neural Stochastic Delay Differential Equations
    CIKM 2025 ·
    Yongkyung Oh
    ,
    Seungsu Kam
    , Dongyoung Lim,
    Sungil Kim
  6. Neural Differential Equations for Continuous-Time Analysis
    CIKM 2025 ·
    Yongkyung Oh
    , Dongyoung Lim,
    Sungil Kim
  7. TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification
    CIKM 2025 ·
    Yongkyung Oh
    , Dongyoung Lim,
    Sungil Kim
    ,
    Alex A. T. Bui
  8. Dual Cone Gradient Descent for Training Physics-Informed Neural Networks
    NeurIPS 2024 ·
    Youngsik Hwang
    , Dong-Young Lim
  9. Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
    ICLR 2024 ·
    YongKyung Oh
    , Dongyoung Lim,
    Sungil Kim