Jinhee Kim

Staff engineer at Samsung Research

Ph.D from Kim Jaechul Graduate School of Artificial Intelligence, KAIST (Aug 2024)


Contact: seharanul17@gmail.com

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About Me

I am currently working on multimodal AI as a Staff Engineer at Samsung Research. I recently graduated with a Ph.D. from KAIST AI in August 2024, advised by Professor Jaegul Choo. I earned my B.S in Computer Science and Engineering at Korea University, graduating Summa Cum Laude. 

Research interest 

News

Honors and Awards

Selected Publications [Google scholar]

EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models

J. Kim,* T. Kim,* and J. Choo (*: equal contributions)

Conference on Neural Information Processing Systems (NeurIPS), 2024.

🌞 Accepted with 25.8% acceptance rate.


[Paper] [Code] [Project Page]

Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation through Collaborative Error Revision

J. Kim,* T. Kim,* and J. Choo

(*: equal contributions)

European Conference on Computer Vision (ECCV), 2024. 

😀Accepted with 27.9% acceptance rate. 

Morphology-Aware Interactive Keypoint Estimation

J. Kim,* T. Kim,* T. Kim, J. Choo, D. Kim, B. Ahn, I. Song, and Y. Kim 

(*: equal contributions)

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022. 

😀Accepted with 13% first-round provisional acceptance rate. 

Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift

T. Kim,* J. Kim,* Y. Tae, C. Park, J. Choi, and J. Choo 

(*: equal contributions)

International Conference on Learning Representations (ICLR), 2022.

😀Accepted with 32.3% acceptance rate. 

Prediction of hand‐wrist maturation stages based on cervical vertebrae images using artificial intelligence 

D. Kim,* J. Kim,* T. Kim, T. Kim, Y. Kim, I. Song, B. Ahn, J. Choo, and D. Lee 

(*: equal contributions)

Orthodontics & Craniofacial Research, 2021.

Missing Value Imputation of Time-Series Air-Quality Data via Deep Neural Networks 

T. Kim, J. Kim, W. Yang, H. Lee, J. Choo 

International journal of environmental research and public health, 2021.

Artificial intelligence-assisted analysis of endoscopic retrograde cholangiopancreatography image for identifying ampulla and difficulty of selective cannulation 

T. Kim,* J. Kim,* H. Choi, E. Kim, B. Keum, Y. Jeen, H. Lee, H. Chun, S. Han, D. Kim, S. Kwon, J. Choo, and J. Lee (*: equal contributions) 

Scientific Reports, 2021.  

End-to-end multi-task learning of missing value imputation and forecasting in time-series data

J. Kim,* T. Kim,* J. Choi, and J. Choo (*: equal contributions)

International Conference on Pattern Recognition (ICPR), 2020.