LT-OCF: Learnable-Time ODE-based Collaborative Filtering. - Jeongwhan Choi 002; Jinsung Jeon; Noseong Park (CIKM, 2021)

Climate Modeling with Neural Diffusion Equations. - Jeehyun Hwang; Jeongwhan Choi 002; Hwangyong Choi; Kookjin Lee; Dongeun Lee 001; Noseong Park (ICDM, 2021)

Graph Neural Controlled Differential Equations for Traffic Forecasting. - Jeongwhan Choi 002; Hwangyong Choi; Jeehyun Hwang; Noseong Park (AAAI, 2022)

Prediction-based One-shot Dynamic Parking Pricing. - Seoyoung Hong 001; Heejoo Shin; Jeongwhan Choi 002; Noseong Park (CIKM, 2022)

Linear, or Non-Linear, That is the Question! - Taeyong Kong; Taeri Kim; Jinsung Jeon; Jeongwhan Choi 002; Yeon-Chang Lee; Noseong Park; Sang-Wook Kim (WSDM, 2022)

Perturbation-Recovery Method for Recommendation. - Jeongwhan Choi 002; Seoyoung Hong 001; Noseong Park; Sung-Bae Cho (CoRR, 2022)

Time Series Forecasting with Hypernetworks Generating Parameters in Advance. - Jaehoon Lee 002; Chan Kim; Gyumin Lee; Haksoo Lim; Jeongwhan Choi 002; Kookjin Lee; Dongeun Lee 001; Sanghyun Hong 001; Noseong Park (CoRR, 2022)

GREAD: Graph Neural Reaction-Diffusion Equations. - Jeongwhan Choi 002; Seoyoung Hong 001; Noseong Park; Sung-Bae Cho (CoRR, 2022)

QoS-Aware Graph Contrastive Learning for Web Service Recommendation. - Jeongwhan Choi 002; Duksan Ryu (APSEC, 2023)

Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations. - Seonkyu Lim; Jaehyeon Park; Seojin Kim; Hyowon Wi; Haksoo Lim; Jinsung Jeon; Jeongwhan Choi 002; Noseong Park (IEEE Big Data, 2023)

GREAD: Graph Neural Reaction-Diffusion Networks. - Jeongwhan Choi 002; Seoyoung Hong 001; Noseong Park; Sung-Bae Cho (ICML, 2023)

Blurring-Sharpening Process Models for Collaborative Filtering. - Jeongwhan Choi 002; Seoyoung Hong 001; Noseong Park; Sung-Bae Cho (SIGIR, 2023)

RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation. - Jeongwhan Choi 002; Hyowon Wi; Chaejeong Lee; Sung-Bae Cho; Dongha Lee 003; Noseong Park (CoRR, 2023)

Climate modeling with neural advection-diffusion equation. - Hwangyong Choi; Jeongwhan Choi 002; Jeehyun Hwang; Kookjin Lee; Dongeun Lee 001; Noseong Park (Knowl. Inf. Syst., 2023)

Graph Neural Rough Differential Equations for Traffic Forecasting. - Jeongwhan Choi 002; Noseong Park (ACM Trans. Intell. Syst. Technol., 2023)

An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention. - Yehjin Shin; Jeongwhan Choi 002; Hyowon Wi; Noseong Park (AAAI, 2024)

Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP. - Seonkyu Lim; Jeongwhan Choi 002; Noseong Park; Sang-Ha Yoon; ShinHyuck Kang; Young-Min Kim; Hyunjoong Kang (CIKM, 2024)

Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer. - Youn-Yeol Yu; Jeongwhan Choi 002; Woojin Cho; Kookjin Lee; Nayong Kim; Kiseok Chang; ChangSeung Woo; Ilho Kim; SeokWoo Lee; Joon-Young Yang; Sooyoung Yoon; Noseong Park (ICLR, 2024)

PANDA: Expanded Width-Aware Message Passing Beyond Rewiring. - Jeongwhan Choi 002; Sumin Park; Hyowon Wi; Sung-Bae Cho; Noseong Park (ICML, 2024)

Polynomial-based Self-Attention for Table Representation Learning. - Jayoung Kim 002; Yehjin Shin; Jeongwhan Choi 002; Hyowon Wi; Noseong Park (ICML, 2024)

SVD-AE: Simple Autoencoders for Collaborative Filtering. - Seoyoung Hong 001; Jeongwhan Choi 002; Yeon-Chang Lee; Srijan Kumar; Noseong Park (IJCAI, 2024)

Graph Convolutions Enrich the Self-Attention in Transformers! - Jeongwhan Choi 002; Hyowon Wi; Jayoung Kim 002; Yehjin Shin; Kookjin Lee; Nathaniel Trask; Noseong Park (NeurIPS, 2024)

Stochastic Sampling for Contrastive Views and Hard Negative Samples in Graph-based Collaborative Filtering. - Chaejeong Lee; Jeongwhan Choi 002; Hyowon Wi; Sung-Bae Cho; Noseong Park (CoRR, 2024)

Graph Signal Processing for Cross-Domain Recommendation. - Jeongeun Lee; Seongku Kang; Won-Yong Shin; Jeongwhan Choi 002; Noseong Park; Dongha Lee 003 (CoRR, 2024)

FrAug: Enhanced Fraud Detection in Interbank Transfers via Augmented Account Features. - Seonkyu Lim; Jeongwhan Choi 002; Jaehoon Lee 002; Noseong Park (BigComp, 2025)

PIORF: Physics-Informed Ollivier-Ricci Flow for Long-Range Interactions in Mesh Graph Neural Networks. - Youn-Yeol Yu; Jeongwhan Choi 002; Jaehyeon Park; Kookjin Lee; Noseong Park (ICLR, 2025)

SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation. - Chaejeong Lee; Jeongwhan Choi 002; Hyowon Wi; Sung-Bae Cho; Noseong Park (WSDM, 2025)

Predicting drug-drug interactions: A deep learning approach with GCN-based collaborative filtering. - Yeon Uk Jeong; Jeongwhan Choi 002; Noseong Park; Jae Yong Ryu; Yi Rang Kim (Artif. Intell. Medicine, 2025)

Possibility for Proactive Anomaly Detection. - Jinsung Jeon; Jaehyeon Park; Sewon Park 004; Jeongwhan Choi 002; Minjung Kim; Noseong Park (CoRR, 2025)

Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain. - Hyowon Wi; Jeongwhan Choi 002; Noseong Park (CoRR, 2025)