Sungjun Lim

According to our database, Sungjun Lim authored at least 17 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Data Adaptive Stochastic Ensemble Net: Optimizing Infection Predictions for COVID-19 Cluster Analysis.

Sungjun Lim, YongTaek Lim, Hojun Park, Junggu Lee, Jaehun Jung, Kyungwoo Song

IEEE J. Biomed. Health Informatics, June, 2026

Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shift.

Sungjun Lim, Heedong Kim, Andrew Lee, Kyungwoo Song

CoRR, May, 2026

2025

Semi-Supervised Preference Optimization with Limited Feedback.

Seonggyun Lee, Sungjun Lim, Seojin Park, Soeun Cheon, Kyungwoo Song

CoRR, November, 2025

Eigen-Value: Efficient Domain-Robust Data Valuation via Eigenvalue-Based Approach.

Youngjun Choi, Joonseong Kang, Sungjun Lim, Kyungwoo Song

CoRR, October, 2025

Uncertainty-driven Embedding Convolution.

Sungjun Lim, Kangjun Noh, Youngjun Choi, Heeyoung Lee, Kyungwoo Song

CoRR, July, 2025

COVID-19 prediction with doubly multi-task Gaussian Process.

Sooyon Kim, Yongtaek Lim, Sungjun Lim, Gyeongdeok Seo, Jihee Kim, Hojun Park, Jaehun Jung, Kyungwoo Song

J. Biomed. Informatics, 2025

GFML: Gravity function for metric learning.

Hoyoon Byun, Sungjun Lim, Kyungwoo Song

Eng. Appl. Artif. Intell., 2025

Robust optimization for PPG-based blood pressure estimation.

Sungjun Lim, Taero Kim, Hyeonjeong Lee, Yewon Kim, Minhoi Park, Kwang-Yong Kim, Minseong Kim, Kyu Hyung Kim, Jiyoung Jung, Kyungwoo Song

Biomed. Signal Process. Control., 2025

Flat Posterior Does Matter For Bayesian Model Averaging.

Sungjun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Yohan Jung, Jiyoung Jung, Kyungwoo Song

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Brain-inspired Lp-Convolution benefits large kernels and aligns better with visual cortex.

Jea Kwon, Sungjun Lim, Kyungwoo Song, C. Justin Lee

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Sufficient Invariant Learning for Distribution Shift.

Taero Kim, Subeen Park, Sungjun Lim, Yonghan Jung, Krikamol Muandet, Kyungwoo Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Causal Effect Variational Transformer for Public Health Measures and COVID-19 Infection Cluster Analysis.

Jinho Kang, Sungjun Lim, Hojun Park, Jiyoung Jung, Jaehun Jung, Kyungwoo Song

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

RAILL: Retrieval-Augmented Instruction Tuning for Low-Resource Language Model Training.

Youngjun Choi, Sungjun Lim, Minhoi Park, Jaekyeong Jung, Taekyung Kim, Eunsik Kim, Chul-su Kim, Kyongjae Lee, Hosik Choi, Kyungwoo Song

Proceedings of the IEEE International Conference on Big Data, 2025

Uncertainty-Aware Contrastive Decoding.

Hakyung Lee, Subeen Park, Joowang Kim, Sungjun Lim, Kyungwoo Song

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Language model-guided student performance prediction with multimodal auxiliary information.

Changdae Oh, Minhoi Park, Sungjun Lim, Kyungwoo Song

Expert Syst. Appl., 2024

Flat Posterior Does Matter For Bayesian Transfer Learning.

Sungjun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Yohan Jung, Jiyoung Jung, Kyungwoo Song

CoRR, 2024

2022

Sharpness-aware Minimization for Worst Case Optimization.

Taero Kim, Sungjun Lim, Kyungwoo Song

CoRR, 2022