Jong-June Jeon

32 papers A* 5A 5Journal 22

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Impute Missing Entries with Uncertainty. AAAI Jaesung Lim, Seunghwan An, Jong-June Jeon
2026	A	`conf`	Revisiting IPS in Recommendation Models: Unveiling Its Impact on Model Performance. WSDM Wonhyung Shin, Jong-June Jeon
2025	J	`jnl`	Adaptive adversarial augmentation for molecular property prediction. Expert Syst. Appl. Soyoung Cho, Sungchul Hong, Jong-June Jeon
2025	A	`conf`	CHEM: Causally and Hierarchically Explaining Molecules. CIKM Gyeongdong Woo, Soyoung Cho, Donghyeon Kim, Kimoon Na, Changhyun Kim, Jinhee Choi, Jong-June Jeon
2025	J	`jnl`	Does a Large Language Model Really Speak in Human-Like Language? CoRR Mose Park, Yunjin Choi, Jong-June Jeon
2025	A*	`conf`	Dynamic Higher-Order Relations and Event-Driven Temporal Modeling for Stock Price Forecasting. IJCAI Kijeong Park, Sungchul Hong, Jong-June Jeon
2025	A	`conf`	Generalizing Query Performance Prediction under Retriever and Concept Shifts via Data-driven Correction. CIKM Jaehwan Jung, Jong-June Jeon
2025	J	`jnl`	Improving SMOTE via fusing conditional VAE for data-adaptive noise filtering. Appl. Intell. Sungchul Hong, Seunghwan An, Jong-June Jeon
2025	A*	`conf`	Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis. AAAI Seunghwan An, Gyeongdong Woo, Jaesung Lim, Chang-Hyun Kim, Sungchul Hong, Jong-June Jeon
2025	J	`jnl`	Variational autoencoder for distributional learning via quantile function estimation. Neural Networks Seunghwan An, Sungchul Hong, Jong-June Jeon
2024	A	`conf`	Cryptocurrency Price Forecasting using Variational Autoencoder with Versatile Quantile Modeling. CIKM Sungchul Hong, Seunghwan An, Jong-June Jeon
2024	J	`jnl`	Customization of latent space in semi-supervised Variational AutoEncoder. Pattern Recognit. Lett. Seunghwan An, Jong-June Jeon
2024	J	`jnl`	Improving SMOTE via Fusing Conditional VAE for Data-adaptive Noise Filtering. CoRR Sungchul Hong, Seunghwan An, Jong-June Jeon
2024	J	`jnl`	Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis. CoRR Seunghwan An, Gyeongdong Woo, Jaesung Lim, Chang-Hyun Kim, Sungchul Hong, Jong-June Jeon
2024	J	`jnl`	Unicorn: U-Net for Sea Ice Forecasting with Convolutional Neural Ordinary Differential Equations. CoRR Jaesung Park, Sungchul Hong, Yoonseo Cho, Jong-June Jeon
2023	J	`jnl`	Balanced Marginal and Joint Distributional Learning via Mixture Cramer-Wold Distance. CoRR Seunghwan An, Sungchul Hong, Jong-June Jeon
2023	A	`conf`	Causally Disentangled Generative Variational AutoEncoder. ECAI Seunghwan An, Kyungwoo Song, Jong-June Jeon
2023	J	`jnl`	Causally Disentangled Generative Variational AutoEncoder. CoRR Seunghwan An, Kyungwoo Song, Jong-June Jeon
2023	A*	`conf`	Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation. NeurIPS Seunghwan An, Jong-June Jeon
2023	J	`jnl`	Distributional Variational AutoEncoder To Infinite Quantiles and Beyond Gaussianity. CoRR Seunghwan An, Jong-June Jeon
2023	A*	`conf`	Geodesic Multi-Modal Mixup for Robust Fine-Tuning. NeurIPS Changdae Oh, Junhyuk So, Hoyoon Byun, YongTaek Lim, Minchul Shin, Jong-June Jeon, Kyungwoo Song
2023	J	`jnl`	Interpretable Water Level Forecaster with Spatiotemporal Causal Attention Mechanisms. CoRR Sungchul Hong, Yunjin Choi, Jong-June Jeon
2023	J	`jnl`	Joint Distributional Learning via Cramer-Wold Distance. CoRR Seunghwan An, Jong-June Jeon
2023	J	`jnl`	Quantile estimation for encrypted data. Appl. Intell. Minje Park, Jaeseon Kim, Sungchul Shin, Cheolwoo Park, Jong-June Jeon, Soon-Sun Kwon, Hosik Choi
2023	J	`jnl`	Uniform Pessimistic Risk and Optimal Portfolio. CoRR Sungchul Hong, Jong-June Jeon
2021	J	`jnl`	EXoN: EXplainable encoder Network. CoRR Seunghwan An, Hosik Choi, Jong-June Jeon
2021	J	`jnl`	Learning Multiple Quantiles With Neural Networks. J. Comput. Graph. Stat. Sang Jun Moon, Jong-June Jeon, Jason Sang Hun Lee, Yongdai Kim
2021	J	`jnl`	Learning a High-dimensional Linear Structural Equation Model via l1-Regularized Regression. J. Mach. Learn. Res. Gunwoong Park, Sang Jun Moon, Sion Park, Jong-June Jeon
2020	J	`jnl`	Primal path algorithm for compositional data analysis. Comput. Stat. Data Anal. Jong-June Jeon, Yongdai Kim, Sungho Won, Hosik Choi
2018	J	`jnl`	Primal path algorithm for compositional data analysis. CoRR Jong-June Jeon, Yongdai Kim, Sungho Won, Hosik Choi
2018	J	`jnl`	The sparse Luce model. Appl. Intell. Jong-June Jeon, Hosik Choi
2017	J	`jnl`	Homogeneity detection for the high-dimensional generalized linear model. Comput. Stat. Data Anal. Jong-June Jeon, Sunghoon Kwon, Hosik Choi