Noseong Park

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 150

Top Venues

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park
SVD-AE: Simple Autoencoders for Collaborative Filtering. CoRR (2024)
Jinsung Jeon, Hyundong Jin, Jonghyun Choi, Sanghyun Hong, Dongeun Lee, Kookjin Lee, Noseong Park
PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images. ICLR (2024)
Hyeyoon Lee, Kanghyun Choi, Dain Kwon, Sunjong Park, Mayoore Selvarasa Jaiswal, Noseong Park, Jonghyun Choi, Jinho Lee
DataFreeShield: Defending Adversarial Attacks without Training Data. CoRR (2024)
Sheo Yon Jhin, Heejoo Shin, Sujie Kim, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon
Attentive neural controlled differential equations for time-series classification and forecasting. Knowl. Inf. Syst. 66 (3) (2024)
Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention. AAAI (2024)
Chaejeong Lee, Jeongwhan Choi, Hyowon Wi, Sung-Bae Cho, Noseong Park
Stochastic Sampling for Contrastive Views and Hard Negative Samples in Graph-based Collaborative Filtering. CoRR (2024)
Hyowon Wi, Yehjin Shin, Noseong Park
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation. WSDM (2024)
Jeongeun Lee, Seongku Kang, Won-Yong Shin, Jeongwhan Choi, Noseong Park, Dongha Lee
Graph Signal Processing for Cross-Domain Recommendation. CoRR (2024)
Anthony Gruber, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask
Efficiently Parameterized Neural Metriplectic Systems. CoRR (2024)
Sheo Yon Jhin, Seojin Kim, Noseong Park
Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization. KDD (2024)
Youn-Yeol Yu, Jeongwhan Choi, Woojin Cho, Kookjin Lee, Nayong Kim, Kiseok Chang, ChangSeung Woo, Ilho Kim, SeokWoo Lee, Joon-Young Yang, Sooyoung Yoon, Noseong Park
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer. ICLR (2024)
Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring. CoRR (2024)
Woojin Cho, Seunghyeon Cho, Hyundong Jin, Jinsung Jeon, Kookjin Lee, Sanghyun Hong, Dongeun Lee, Jonghyun Choi, Noseong Park
Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations. AAAI (2024)
Jinsung Jeon, Hyundong Jin, Jonghyun Choi, Sanghyun Hong, Dongeun Lee, Kookjin Lee, Noseong Park
PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images. CoRR (2024)
Kanghyun Choi, Hyeyoon Lee, Dain Kwon, Sunjong Park, Kyuyeun Kim, Noseong Park, Jinho Lee
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity. CoRR (2024)
Sheo Yon Jhin, Seojin Kim, Noseong Park
Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization. CoRR (2024)
Haksoo Lim, Sewon Park, Minjung Kim, Jaehoon Lee, Seonkyu Lim, Noseong Park
MadSGM: Multivariate Anomaly Detection with Score-based Generative Models. CoRR (2023)
Haksoo Lim, Minjung Kim, Sewon Park, Noseong Park
Regular Time-series Generation using SGM. CoRR (2023)
Chaejeong Lee, Jayoung Kim, Noseong Park
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis. ICML (2023)
Sheo Yon Jhin, Minju Jo, Seungji Kook, Noseong Park, Sungpil Woo, Sunhwan Lim
Learnable Path in Neural Controlled Differential Equations. CoRR (2023)
Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park
Graph Convolutions Enrich the Self-Attention in Transformers! CoRR (2023)
Sheo Yon Jhin, Minju Jo, Seungji Kook, Noseong Park
Learnable Path in Neural Controlled Differential Equations. AAAI (2023)
Seonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi, Noseong Park
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations. BigData (2023)
Manh Tuan Do, Noseong Park, Kijung Shin
Two-Stage Training of Graph Neural Networks for Graph Classification. Neural Process. Lett. 55 (3) (2023)
Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration. CoRR (2023)
Jaeyeon Park, Kichang Lee, Noseong Park, Seng Chan You, JeongGil Ko
Self-Attention LSTM-FCN model for arrhythmia classification and uncertainty assessment. Artif. Intell. Medicine 142 (2023)
Jaewon Jung, Jaeyong Song, Hongsun Jang, Hyeyoon Lee, Kanghyun Choi, Noseong Park, Jinho Lee
Fast Adversarial Training with Dynamic Batch-level Attack Control. DAC (2023)
Haksoo Lim, Sewon Park, Minjung Kim, Jaehoon Lee, Seonkyu Lim, Noseong Park
MadSGM: Multivariate Anomaly Detection with Score-based Generative Models. CIKM (2023)
Hyowon Wi, Yehjin Shin, Noseong Park
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation. CoRR (2023)
Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park
Polynomial-based Self-Attention for Table Representation learning. CoRR (2023)
Sheo Yon Jhin, Jaehoon Lee, Noseong Park
Precursor-of-Anomaly Detection for Irregular Time Series. KDD (2023)
Seonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi, Noseong Park
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations. CoRR (2023)
Sheo Yon Jhin, Jaehoon Lee, Noseong Park
Precursor-of-Anomaly Detection for Irregular Time Series. CoRR (2023)
Jeongwhan Choi, Noseong Park
Graph Neural Rough Differential Equations for Traffic Forecasting. ACM Trans. Intell. Syst. Technol. 14 (4) (2023)
Woojin Cho, Kookjin Lee, Donsub Rim, Noseong Park
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks. NeurIPS (2023)
Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park
An Attentive Inductive Bias for Sequential Recommendation Beyond the Self-Attention. CoRR (2023)
Hwangyong Choi, Jeongwhan Choi, Jeehyun Hwang, Kookjin Lee, Dongeun Lee, Noseong Park
Climate modeling with neural advection-diffusion equation. Knowl. Inf. Syst. 65 (6) (2023)
Chaejeong Lee, Jayoung Kim, Noseong Park
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis. CoRR (2023)
Minju Jo, Seungji Kook, Noseong Park
Hawkes Process based on Controlled Differential Equations. CoRR (2023)
Jayoung Kim, Chaejeong Lee, Noseong Park
STaSy: Score-based Tabular data Synthesis. ICLR (2023)
Woojin Cho, Kookjin Lee, Donsub Rim, Noseong Park
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks. CoRR (2023)
Jeongwhan Choi, Noseong Park
Graph Neural Rough Differential Equations for Traffic Forecasting. CoRR (2023)
Woojin Cho, Seunghyeon Cho, Hyundong Jin, Jinsung Jeon, Kookjin Lee, Sanghyun Hong, Dongeun Lee, Jonghyun Choi, Noseong Park
Operator-learning-inspired Modeling of Neural Ordinary Differential Equations. CoRR (2023)
Minju Jo, Seungji Kook, Noseong Park
Hawkes Process Based on Controlled Differential Equations. IJCAI (2023)
Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
Blurring-Sharpening Process Models for Collaborative Filtering. SIGIR (2023)
Jeongwhan Choi, Hyowon Wi, Chaejeong Lee, Sung-Bae Cho, Dongha Lee, Noseong Park
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation. CoRR (2023)
Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
GREAD: Graph Neural Reaction-Diffusion Networks. ICML (2023)
Youn-Yeol Yu, Jeongwhan Choi, Woojin Cho, Kookjin Lee, Nayong Kim, Kiseok Chang, ChangSeung Woo, Ilho Kim, SeokWoo Lee, Joon-Young Yang, Sooyoung Yoon, Noseong Park
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer. CoRR (2023)
Julia Hsin-Ping Hsu, Heejoo Shin, Noseong Park, Myeong Lee
Two-sided Cultural Niches: Topic Overlap, Geospatial Correlation, and Local Group Activities on Event-based Social Networks. C&T (2023)
Jinsung Jeon, Jeonghak Kim, Haryong Song, Seunghyeon Cho, Noseong Park
GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks. CoRR (2022)
Jaehoon Lee, Jihyeon Hyeong, Jinsung Jeon, Noseong Park, Jihoon Cho
Invertible Tabular GANs: Killing Two Birds with OneStone for Tabular Data Synthesis. CoRR (2022)
Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
Perturbation-Recovery Method for Recommendation. CoRR (2022)
Seoyoung Hong, Minju Jo, Seungji Kook, Jaeeun Jung, Hyowon Wi, Noseong Park, Sung-Bae Cho
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering. CoRR (2022)
Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher. CVPR (2022)
Jayoung Kim, Chaejeong Lee, Noseong Park
STaSy: Score-based Tabular data Synthesis. CoRR (2022)
Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
Enabling hard constraints in differentiable neural network and accelerator co-exploration. DAC (2022)
Jayoung Kim, Chaejeong Lee, Yehjin Shin, Sewon Park, Minjung Kim, Noseong Park, Jihoon Cho
SOS: Score-based Oversampling for Tabular Data. CoRR (2022)
Jaehoon Lee, Chan Kim, Gyumin Lee, Haksoo Lim, Jeongwhan Choi, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park
Time Series Forecasting with Hypernetworks Generating Parameters in Advance. CoRR (2022)
Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim
Linear, or Non-Linear, That is the Question! WSDM (2022)
Jinsung Jeon, Jeonghak Kim, Haryong Song, Seunghyeon Cho, Noseong Park
GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks. NeurIPS (2022)
Jinsung Jeon, Noseong Park
SPI-GAN: Distilling Score-based Generative Models with Straight-Path Interpolations. CoRR (2022)
Jaehoon Lee, Jinsung Jeon, Sheo Yon Jhin, Jihyeon Hyeong, Jayoung Kim, Minju Jo, Kook Seungji, Noseong Park
LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations. ICLR (2022)
Seoyoung Hong, Heejoo Shin, Jeongwhan Choi, Noseong Park
Prediction-based One-shot Dynamic Parking Pricing. CIKM (2022)
Seoyoung Hong, Minju Jo, Seungji Kook, Jaeeun Jung, Hyowon Wi, Noseong Park, Sung-Bae Cho
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering. Big Data (2022)
Sheo Yon Jhin, Jaehoon Lee, Minju Jo, Seungji Kook, Jinsung Jeon, Jihyeon Hyeong, Jayoung Kim, Noseong Park
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting. WWW (2022)
Sheo Yon Jhin, Jaehoon Lee, Minju Jo, Seungji Kook, Jinsung Jeon, Jihyeon Hyeong, Jayoung Kim, Noseong Park
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting. CoRR (2022)
Jaehoon Lee, Jinsung Jeon, Sheo Yon Jhin, Jihyeon Hyeong, Jayoung Kim, Minju Jo, Kook Seungji, Noseong Park
LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations. CoRR (2022)
Suneghyeon Cho, Sanghyun Hong, Kookjin Lee, Noseong Park
AdamNODEs: When Neural ODE Meets Adaptive Moment Estimation. CoRR (2022)
Seoyoung Hong, Heejoo Shin, Jeongwhan Choi, Noseong Park
Prediction-based One-shot Dynamic Parking Pricing. CoRR (2022)
Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
GREAD: Graph Neural Reaction-Diffusion Equations. CoRR (2022)
Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park
Graph Neural Controlled Differential Equations for Traffic Forecasting. AAAI (2022)
Jihyeon Hyeong, Jayoung Kim, Noseong Park, Sushil Jajodia
An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models. CoRR (2022)
Jihyeon Hyeong, Jayoung Kim, Noseong Park, Sushil Jajodia
An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models. CIKM (2022)
Taeri Kim, Noseong Park, Jiwon Hong, Sang-Wook Kim
Phishing URL Detection: A Network-based Approach Robust to Evasion. CCS (2022)
Taeri Kim, Noseong Park, Jiwon Hong, Sang-Wook Kim
Phishing URL Detection: A Network-based Approach Robust to Evasion. CoRR (2022)
Fan Wu, Sanghyun Hong, Donsub Rim, Noseong Park, Kookjin Lee
Mining Causality from Continuous-time Dynamics Models: An Application to Tsunami Forecasting. CoRR (2022)
Jayoung Kim, Chaejeong Lee, Yehjin Shin, Sewon Park, Minjung Kim, Noseong Park, Jihoon Cho
SOS: Score-based Oversampling for Tabular Data. KDD (2022)
Thai Le, Noseong Park, Dongwon Lee
SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher. ACL (1) (2022)
Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher. CoRR (2022)
Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim
Linear, or Non-Linear, That is the Question! CoRR (2021)
Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples. NeurIPS (2021)
Sheo Yon Jhin, Minju Jo, Taeyong Kong, Jinsung Jeon, Noseong Park
ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations. CoRR (2021)
Jayoung Kim, Jinsung Jeon, Jaehoon Lee, Jihyeon Hyeong, Noseong Park
OCT-GAN: Neural ODE-based Conditional Tabular GANs. CoRR (2021)
Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park
Climate Modeling with Neural Diffusion Equations. CoRR (2021)
Jeongwhan Choi, Jinsung Jeon, Noseong Park
LT-OCF: Learnable-Time ODE-based Collaborative Filtering. CIKM (2021)
Sheo Yon Jhin, Minju Jo, Taeyong Kong, Jinsung Jeon, Noseong Park
ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations. KDD (2021)
Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples. CoRR (2021)
Jeongwhan Choi, Jinsung Jeon, Noseong Park
LT-OCF: Learnable-Time ODE-based Collaborative Filtering. CoRR (2021)
Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting. ICDM (2021)
Duanshun Li, Jing Liu, Dongeun Lee, Ali Seyedmazloom, Giridhar Kaushik, Kookjin Lee, Noseong Park
A Novel Method to Solve Neural Knapsack Problems. ICML (2021)
Jaehoon Lee, Jihyeon Hyeong, Jinsung Jeon, Noseong Park, Jihoon Cho
Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis. NeurIPS (2021)
Jinsung Jeon, Dongeun Lee, Seunghyun Hwang, Soyoung Kang, Noseong Park, Duanshun Li, Kookjin Lee, Jing Liu
Large-Scale Flight Frequency Optimization with Global Convergence in the US Domestic Air Passenger Markets. SDM (2021)
Jayoung Kim, Jinsung Jeon, Jaehoon Lee, Jihyeon Hyeong, Noseong Park
OCT-GAN: Neural ODE-based Conditional Tabular GANs. WWW (2021)
Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park
Large-Scale Data-Driven Airline Market Influence Maximization. CoRR (2021)
Jinsung Jeon, Soyoung Kang, Minju Jo, Seunghyeon Cho, Noseong Park, Seonghoon Kim, Chiyoung Song
LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising. CoRR (2021)
Thai Le, Noseong Park, Dongwon Lee
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks. ACL/IJCNLP (1) (2021)
Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park
Large-Scale Data-Driven Airline Market Influence Maximization. KDD (2021)
Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park
Climate Modeling with Neural Diffusion Equations. ICDM (2021)
Jinsung Jeon, Jing Liu, Jayoung Kim, Jaehoon Lee, Noseong Park, Jamie Jooyeon Lee, Özlem Uzuner, Sushil Jajodia
Scalable Graph Synthesis with Adj and 1 - Adj. SDM (2021)
Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jhin, Noseong Park
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation. AAAI (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Noseong Park