Chaejeong Lee

According to our database, Chaejeong Lee authored at least 6 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation.

Chaejeong Lee, Jeongwhan Choi, Hyowon Wi, Sung-Bae Cho, Noseong Park

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

2024

Stochastic Sampling for Contrastive Views and Hard Negative Samples in Graph-based Collaborative Filtering.

Chaejeong Lee, Jeongwhan Choi, Hyowon Wi, Sung-Bae Cho, Noseong Park

CoRR, 2024

2023

RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation.

Jeongwhan Choi, Hyowon Wi, Chaejeong Lee, Sung-Bae Cho, Dongha Lee, Noseong Park

CoRR, 2023

CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis.

Chaejeong Lee, Jayoung Kim, Noseong Park

Proceedings of the International Conference on Machine Learning, 2023

STaSy: Score-based Tabular data Synthesis.

Jayoung Kim, Chaejeong Lee, Noseong Park

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

SOS: Score-based Oversampling for Tabular Data.

Jayoung Kim, Chaejeong Lee, Yehjin Shin, Sewon Park, Minjung Kim, Noseong Park, Jihoon Cho

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022