Jong-June Jeon

Orcid: 0000-0002-1423-4292

According to our database1, Jong-June Jeon authored at least 30 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Revisiting IPS in Recommendation Models: Unveiling Its Impact on Model Performance.
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

DrIM: Context-Driven Nearest Neighbor Imputation Using Language Representation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2026

Estimating Subgraph Importance with Structural Prior Domain Knowledge.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2026

Impute Missing Entries with Uncertainty.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Improving SMOTE via fusing conditional VAE for data-adaptive noise filtering.
Appl. Intell., August, 2025

Does a Large Language Model Really Speak in Human-Like Language?
CoRR, January, 2025

Variational autoencoder for distributional learning via quantile function estimation.
Neural Networks, 2025

Adaptive adversarial augmentation for molecular property prediction.
Expert Syst. Appl., 2025

Dynamic Higher-Order Relations and Event-Driven Temporal Modeling for Stock Price Forecasting.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

CHEM: Causally and Hierarchically Explaining Molecules.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Generalizing Query Performance Prediction under Retriever and Concept Shifts via Data-driven Correction.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Customization of latent space in semi-supervised Variational AutoEncoder.
Pattern Recognit. Lett., January, 2024

Unicorn: U-Net for Sea Ice Forecasting with Convolutional Neural Ordinary Differential Equations.
CoRR, 2024

Cryptocurrency Price Forecasting using Variational Autoencoder with Versatile Quantile Modeling.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Quantile estimation for encrypted data.
Appl. Intell., November, 2023

Balanced Marginal and Joint Distributional Learning via Mixture Cramer-Wold Distance.
CoRR, 2023

Joint Distributional Learning via Cramer-Wold Distance.
CoRR, 2023

Uniform Pessimistic Risk and Optimal Portfolio.
CoRR, 2023

Interpretable Water Level Forecaster with Spatiotemporal Causal Attention Mechanisms.
CoRR, 2023

Distributional Variational AutoEncoder To Infinite Quantiles and Beyond Gaussianity.
CoRR, 2023

Geodesic Multi-Modal Mixup for Robust Fine-Tuning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Causally Disentangled Generative Variational AutoEncoder.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2021
Learning a High-dimensional Linear Structural Equation Model via l1-Regularized Regression.
J. Mach. Learn. Res., 2021

Learning Multiple Quantiles With Neural Networks.
J. Comput. Graph. Stat., 2021

EXoN: EXplainable encoder Network.
CoRR, 2021

2020
Primal path algorithm for compositional data analysis.
Comput. Stat. Data Anal., 2020

2018
The sparse Luce model.
Appl. Intell., 2018

2017
Homogeneity detection for the high-dimensional generalized linear model.
Comput. Stat. Data Anal., 2017


  Loading...