Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting. - Sheo Yon Jhin; Heejoo Shin; Seoyoung Hong 001; Minju Jo; Solhee Park; Noseong Park; Seungbeom Lee; Hwiyoung Maeng; Seungmin Jeon (ICDM, 2021)

Large-Scale Data-Driven Airline Market Influence Maximization. - Duanshun Li; Jing Liu 024; Jinsung Jeon; Seoyoung Hong 001; Thai Le; Dongwon Lee 001; Noseong Park (KDD, 2021)

Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting. - Sheo Yon Jhin; Heejoo Shin; Seoyoung Hong 001; Solhee Park; Noseong Park (CoRR, 2021)

TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering. - Seoyoung Hong 001; Minju Jo; Seungji Kook; Jaeeun Jung; Hyowon Wi; Noseong Park; Sung-Bae Cho (IEEE Big Data, 2022)

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

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

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

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)

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

Attentive neural controlled differential equations for time-series classification and forecasting. - Sheo Yon Jhin; Heejoo Shin; Sujie Kim; Seoyoung Hong 001; Minju Jo; Solhee Park; Noseong Park; Seungbeom Lee; Hwiyoung Maeng; Seungmin Jeon (Knowl. Inf. Syst., 2024)