Sungjun Lim

Bayesian Deep Learning,Bayesian Neural Network,Uncertainty,Large Language Models,Retrieval Augmented Generation,Transfer Learning

Name: Sungjun, Lim

Birth: Sep. 11, 1998

Department: Statistics and Data Science, Yonsei University

Email: lsj9862@gmail.com

About Me

Hello! I'm Sungjun, Lim from South Korea. I'm glad to meet you in my own website.

Career (To Be Fixed)

Visiting Scholar @ Carnegie Mellon University

From September 2024 to February 2025 (Scheduled).

September. 2024 - February. 2025 (Scheduled)
Pittsburgh, Pennsylvania, United States

Graduate Researcher @ University of Seoul

From March 2023 to present.

April. 2023 - Present
Machine Learning and Artificial Intelligence Lab

Obtained B.S. @ University of Seoul

From September 2016 to 2023.

March. 2016 - April. 2023
Department of Computer Science and Engineering

Undergraduate Researcher @ University of Seoul

From September 2021 to 2023.

September. 2021 - April. 2023
Machine Learning and Artificial Intelligence Lab

Publications

Google Scholar

Peer Reviewed

  • Bibimbap: Ensembling Diverse Pretrained Models for Domain Generalization in Domain Shifted Task
    Jinho Kang, Taero Kim, Yewon Kim, Changdae Oh, Jiyoung Jung, Rakwoo Chang, and Kyungwoo Song
    Pattern Recognition 2024. (SCIE, JCR 2022 IF=8.0)
  • Sequential Treatment Effect Estimation with Variational Transformers: Application to COVID-19 Infection Clusters
    Jinho Kang, Sungjun Lim, Hojun Park, Jaehun Jung, Jiyoung Jung, and Kyungwoo Song
    IJCAI 2024 Workshop (AI for Time Series Analysis), The Best Paper Honorable Mention Award
  • Few-Shot PPG Signal Generation via Guided Diffusion Models
    Jinho Kang, Yongtaek Lim, KyuHyung Kim, Hyeonjeong Lee, KwangYong Kim, Minseong Kim, Jiyoung Jung, and Kyungwoo Song
    IEEE Sensors Journal 2024. (SCIE, JCR 2022 IF=4.3)
Under Review
  • Flat Posterior Does Matter For Bayesian Model Ensemble
    Sungjun Lim, Sooyon Kim, Jeyoon Yeom, Hoyoon Byun, Jinho Kang, and Kyungwoo Song
    Submitted to Top Tier Conference 2024.

MLAI Projects

MLAI@Yonsei

Explainable AI for Blood Pressure Estimation

Funded by ETRI
Deal with Uncertainty about Estimation of BP from AI

Personal Projects

Predict Food Waste

Predict Food Waste of Jeju Based On Data

Visualize Seoul

Visualization Information About Seoul

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Get in Touch

Don't hesitate to get in touch with me if you need!

  • 204, Engineering 2, University of Seoul
  • lsj9862@gmail.com