Noseong Park

38 papers · 2018–2026 · 8 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (10) 🌍 Conference Polyglot (8)

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) 🤝 Dynamic Duo (11) 👑 Triple Crown 🏆 Grand Slam 🧬 Topic Evolution 🏆 Keyword Champion (2) ❓ The Questioner (2) ⚡ Prolific Year (6) 🗃️ Keyword Collector (107) 🔥 Unstoppable (5) 💎 Century Club (35)

Conferences

AAAI (8) ICLR (7) ICML (7) IJCAI (6) NIPS (5) ACL (3) CVPR (1) IJCNLP (1)

Top co-authors

Jeongwhan Choi (11) Kookjin Lee (11) Hyowon Wi (6) Woojin Cho (5) Jinsung Jeon (5) Dongeun Lee (5) Jayoung Kim (5) Minju Jo (5) Jinho Lee (4) Jonghyun Choi (4)

Keywords

generative adversarial network (4) graph neural network (4) adversarial attack (3) controlled differential equation (3) graph signal processing (3) neural ordinary differential equation (3) singular value decomposition (3) text classification (3) self-attention mechanism (2) transformer architecture (2) graph filter (2) model quantization (2) physics-informed neural network (2) tabular data synthesis (2) fourier transform (2) knowledge distillation (2) model compression (2) synthetic data generation (2) data augmentation (2) partial differential equation (2)

Papers

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 Neural Functions for Learning Periodic Signal ICLR 2025 MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity AAAI 2025 Efficiently Parameterized Neural Metriplectic Systems ICLR 2025 PIORF: Physics-Informed Ollivier-Ricci Flow for Long–Range Interactions in Mesh Graph Neural Networks ICLR 2025 Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain IJCAI 2025 An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention AAAI 2024 PANDA: Expanded Width-Aware Message Passing Beyond Rewiring ICML 2024 Parameterized Physics-informed Neural Networks for Parameterized PDEs ICML 2024 Graph Convolutions Enrich the Self-Attention in Transformers! NIPS 2024 SVD-AE: Simple Autoencoders for Collaborative Filtering IJCAI 2024 DataFreeShield: Defending Adversarial Attacks without Training Data ICML 2024 Polynomial-based Self-Attention for Table Representation Learning ICML 2024 Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations AAAI 2024 Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer ICLR 2024 PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images ICLR 2024 Learnable Path in Neural Controlled Differential Equations AAAI 2023 STaSy: Score-based Tabular data Synthesis ICLR 2023 Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks NIPS 2023 GREAD: Graph Neural Reaction-Diffusion Networks ICML 2023 CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis ICML 2023 Hawkes Process Based on Controlled Differential Equations IJCAI 2023 GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks NIPS 2022 LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations ICLR 2022 It's All in the Teacher: Zero-Shot Quantization Brought Closer to the Teacher CVPR 2022 SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher ACL 2022 Graph Neural Controlled Differential Equations for Traffic Forecasting AAAI 2022 A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger’s Adversarial Attacks ACL 2021 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 IJCNLP 2021 DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation AAAI 2021 Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples NIPS 2021 Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis NIPS 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