For more details, please check my Google Scholar!ย
* : corresponding author, ๐ : GitHub code link
You can view the full paper by clicking on the paper title!
(PAKDD 2026) Estimating Subgraph Importance with Structural Prior Domain Knowledge | ๐
(The camera-ready manuscript will be available soon.)
Changhyun Kim, Seunghwan An, and Jong-June Jeon* (Co-first authors)
30th Pacific-Asia Conference on Knowledge Discovery and Data Miningย
(PAKDD 2026) DrIM: Context-Driven Nearest Neighbor Imputation using Language Representation | ๐
(The camera-ready manuscript and will be available soon.)
Jaesung Lim, Seunghwan An, and Jong-June Jeon*
30th Pacific-Asia Conference on Knowledge Discovery and Data Miningย
(AAAI 2026) Impute Missing Entries with Uncertainty | ๐
(The camera-ready manuscript will be available soon.)
Jaesung Lim, Seunghwan An, and Jong-June Jeon* (Co-first authors)
40th Annual AAAI Conference on Artificial Intelligence
(AAAI 2025) Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis | ๐
Seunghwan An, Gyeongdong Woo, Jaesung Lim, ChangHyun Kim, Sungchul Hong, and Jong-June Jeon*
39th Annual AAAI Conference on Artificial Intelligence
(CIKM 2024) Cryptocurrency Price Forecasting using Variational Autoencoder with Versatile Quantile Modeling | ๐
Sungchul Hong, Seunghwan An, and Jong-June Jeon* (Co-first authors)
33rd ACM International Conference on Information and Knowledge Managementย
(NeurIPS 2023) Distributional learning of variational autoencoder: application to synthetic data generation | ๐
Seunghwan An and Jong-June Jeon*
Thirty-Seventh Annual Conference on Neural Information Processing Systemsย
(ECAI 2023) Causally disentangled generative variational autoencoder | ๐
Seunghwan An, Kyungwoo Song, and Jong-June Jeon*
European Conference on Artificial Intelligence 2023ย
Variational AutoEncoder for Distributional Learning via Quantile Function Estimation
Seunghwan An, Sungchul Hong, and Jong-June Jeon*
Neural Networks (2025)
Improving SMOTE via Fusing Conditional VAE for Data-adaptive Noise Filtering
Sungchul Hong, Seunghwan An, and Jong-June Jeon*
Applied Intelligence (2025)
Customization of latent space in semi-supervised Variational AutoEncoder | ๐
Seunghwan An and Jong-June Jeon*
Pattern Recognition Letters (2024)