Impute Missing Entries with Uncertainty | 🔗 (The camera-ready manuscript and codes will be available soon.)
Jaesung Lim, Seunghwan An, and Jong-June Jeon* (Co-first authors)
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2026)

Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis | 🔗
Seunghwan An, Gyeongdong Woo, Jaesung Lim, ChangHyun Kim, Sungchul Hong, and Jong-June Jeon*
Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, no. 15 (AAAI 2025)

Cryptocurrency Price Forecasting using Variational Autoencoder with Versatile Quantile Modeling | 🔗
Sungchul Hong, Seunghwan An, and Jong-June Jeon* (Co-first authors)
33rd ACM International Conference on Information and Knowledge Management (CIKM 2024)

Distributional learning of variational autoencoder: application to synthetic data generation | 🔗
Seunghwan An and Jong-June Jeon*
Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023)

Causally disentangled generative variational autoencoder | 🔗
Seunghwan An, Kyungwoo Song, and Jong-June Jeon*
European Conference on Artificial Intelligence 2023 (ECAI 2023)

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 | 🔗
Seunghwan An, and Jong-June Jeon*
Pattern Recognition Letters 177 (2024): 54-60