Noseong Park

Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs AAAI 2026 Can Spectral-Clipping Enable Better Learning While Forgetting Less for Low-Rank Adaptation? ACL 2026 How Many Experts Are Enough? Towards Optimal Semantic Specialization for Mixture-of-Experts AAAI 2026 Efficiently Parameterized Neural Metriplectic Systems ICLR 2025 Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain IJCAI 2025 MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity AAAI 2025 Neural Functions for Learning Periodic Signal ICLR 2025 PIORF: Physics-Informed Ollivier-Ricci Flow for Long–Range Interactions in Mesh Graph Neural Networks ICLR 2025 An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention AAAI 2024 DataFreeShield: Defending Adversarial Attacks without Training Data ICML 2024 Graph Convolutions Enrich the Self-Attention in Transformers! NeurIPS 2024 Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer ICLR 2024 Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations AAAI 2024 PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images ICLR 2024 PANDA: Expanded Width-Aware Message Passing Beyond Rewiring ICML 2024 Parameterized Physics-informed Neural Networks for Parameterized PDEs ICML 2024 Polynomial-based Self-Attention for Table Representation Learning ICML 2024 SVD-AE: Simple Autoencoders for Collaborative Filtering IJCAI 2024 CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis ICML 2023 GREAD: Graph Neural Reaction-Diffusion Networks ICML 2023 Hawkes Process Based on Controlled Differential Equations IJCAI 2023 Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks NeurIPS 2023 Learnable Path in Neural Controlled Differential Equations AAAI 2023 STaSy: Score-based Tabular data Synthesis ICLR 2023 Graph Neural Controlled Differential Equations for Traffic Forecasting AAAI 2022 GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks NeurIPS 2022 It's All in the Teacher: Zero-Shot Quantization Brought Closer to the Teacher CVPR 2022 LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations ICLR 2022 SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher ACL 2022 A Novel Method to Solve Neural Knapsack Problems ICML 2021 A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger’s Adversarial Attacks ACL 2021 DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation AAAI 2021 Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis NeurIPS 2021 Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples NeurIPS 2021 FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data IJCAI 2019 VEST: A System for Vulnerability Exploit Scoring & Timing IJCAI 2019 MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation IJCAI 2018