Noseong Park

Venues

Frequent coauthors

Papers

1. Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs
   AAAI 2026 ·

   Jeongwhan Choi

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2. Can Spectral-Clipping Enable Better Learning While Forgetting Less for Low-Rank Adaptation?
   ACL 2026 ·

   Hyowon Wi

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3. How Many Experts Are Enough? Towards Optimal Semantic Specialization for Mixture-of-Experts
   AAAI 2026 ·

   Sumin Park

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4. Efficiently Parameterized Neural Metriplectic Systems
   ICLR 2025 ·

   Anthony Gruber

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5. Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain
   IJCAI 2025 ·

   Hyowon Wi

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6. MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity
   AAAI 2025 ·

   Kanghyun Choi

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7. Neural Functions for Learning Periodic Signal
   ICLR 2025 ·

   Woojin Cho

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8. PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling
   NeurIPS 2025 ·

   Minju Jo

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9. PIORF: Physics-Informed Ollivier-Ricci Flow for Long-Range Interactions in Mesh Graph Neural Networks
   ICLR 2025 ·

   Youn-Yeol Yu

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10. Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
    CIKM 2025 ·

    Meeyoung Cha

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11. SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation
    WSDM 2025 ·

    Chaejeong Lee

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12. TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation
    NeurIPS 2025 ·

    Yehjin Shin

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13. Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization
    SIGKDD 2024 ·

    Sheo Yon Jhin

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14. An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention
    AAAI 2024 ·

    Yehjin Shin

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15. Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP
    CIKM 2024 ·

    Seonkyu Lim

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16. Continuous-time Autoencoders for Regular and Irregular Time Series Imputation
    WSDM 2024 ·

    Hyowon Wi

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17. DataFreeShield: Defending Adversarial Attacks without Training Data
    ICML 2024 ·

    Hyeyoon Lee

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18. Graph Convolutions Enrich the Self-Attention in Transformers!
    NeurIPS 2024 ·

    Jeongwhan Choi

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19. Identifying Contemporaneous and Lagged Dependence Structures by Promoting Sparsity in Continuous-time Neural Networks
    CIKM 2024 ·

    Fan Wu

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20. Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
    ICLR 2024 ·

    Youn-Yeol Yu

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21. Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations
    AAAI 2024 ·

    Woojin Cho

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22. PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images
    ICLR 2024 ·

    Jinsung Jeon

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23. PANDA: Expanded Width-Aware Message Passing Beyond Rewiring
    ICML 2024 ·

    Jeongwhan Choi

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24. Parameterized Physics-informed Neural Networks for Parameterized PDEs
    ICML 2024 ·

    Woojin Cho

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25. Polynomial-based Self-Attention for Table Representation Learning
    ICML 2024 ·

    Jayoung Kim

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26. SVD-AE: Simple Autoencoders for Collaborative Filtering
    IJCAI 2024 ·

    Seoyoung Hong

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