Context-Driven Missing Data Imputation via Large Language Model
Lim, J, An, S., Woo, G., Kim, C., and Jeon J. J.
OPTIMIZATION & MACHINE LEARNING
Understand.
Optimize.
Discover.
Understanding how machine learning works and developing methods to optimize learning models.
UNIVERSITY OF SEOUL University of Seoul
FROM COMPLEXITY
TO UNDERSTANDING.
TO UNDERSTANDING.
θt+1 = θt − η∇ℒ(θt)01 / OPTIM.
01 / RESEARCH DIRECTIONS
All research ↗What we explore
01 ↗
Knowledge Graph Construction and Applications
We build knowledge graphs from complex relational data in domains including molecules, finance, and documents, and use graph neur…
02 ↗AI for Information Retrieval
We study information retrieval and recommendation with knowledge graphs, large language models, and multimodal data, including bi…
03 ↗AI for Synthetic Data Generation
We study generative models for heterogeneous tabular data, including relationships among tables, schemas, and temporal changes.
04 ↗Spatiotemporal Prediction of Arctic Sea
We study the prediction of spatial and temporal changes in Arctic sea ice and the likelihood of ice opening, based on its physica…
02 / RECENT PUBLICATIONS & PREPRINTS
All publications ↗Ideas in print
↗
Estimating Subgraph Importance with Structural Prior Domain Knowledge
Kim, C., Jeon J. J., Woo, K. and An, S.
Balanced Marginal and Joint Distributional Learning for Tabular Data Synthesis via Mixture Cramer–Wold Distance
An, S., Hong, S. and Jeon J. J.
Large Scale Road-Traffic Noise Mapping with AI Technology
Choi, S., Park, T., Lim, J., Murphy E., and Jeon, J. J.
03 / LIFE AT OPTIM.
All news ↗From the lab
2026년 11월 5일