SOS: Score-based Oversampling for Tabular Data. - Jayoung Kim 002; Chaejeong Lee; Yehjin Shin; Sewon Park 004; Minjung Kim; Noseong Park; Jihoon Cho (KDD, 2022)

STaSy: Score-based Tabular data Synthesis. - Jayoung Kim 002; Chaejeong Lee; Noseong Park (ICLR, 2023)

CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis. - Chaejeong Lee; Jayoung Kim 002; Noseong Park (ICML, 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)

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)

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)