About Me
I’m a M.S. student at Machine Learning and Artificial Intelligence (MLAI) lab in UOS/Yonsei, under the supervision of Prof. Jiyoung Jung (adviser) and Prof. Kyungwoo Song (co-adviser).
My research interest includes:
- Robust Fine-tuning of Large-scale Models
- Debiased Representation Learning
- Multimodal Learning
Education
M.S. in Artificial Intelligence, University of Seoul (UOS)
Mar. 2022 - Feb. 2024 (expected)B.S. in Statistics, University of Seoul (UOS)
Mar. 2016 - Feb. 2022
Publications (International Conference)
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning
[paper] [code]
Changdae Oh, Hyeji Hwang, Hee-young Lee, YongTaek Lim, Geunyoung Jung, Jiyoung Jung, Hosik Choi, Kyungwoo Song
CVPR 2023Learning Fair Representation via Distributional Contrastive Disentanglement
[paper] [code]
Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song
KDD 2022
Preprint
Language Model-guided Student Performance Prediction with Multimodal Auxiliary Information
Changdae Oh, Minhoi Park, Sungjun Lim, Kyungwoo SongRecycling Deep Learning Models for Few-shot Radiographic Image Analysis
Hoyoon Byun, Changdae Oh, Taero Kim, Hojun Park, Jaehun Jung, Kyungwoo SongMultimodal Learning for Social Event Analysis
Changdae Oh, Hoyoon Byun, Minhoi Park, YongTaek Lim, Kyungwoo SongInterpolation-based Training-free Out-of-distribution Detection
Hee-young Lee*, Hoyoon Byun*, Changdae Oh, Kyungwoo SongTC-BERT: Large-scale Language Model for Korean Technology Documents
[paper]
Hyeji Hwang*, Changdae Oh*, Eunkyeong Lee, Taero Kim, Yewon Kim, Yunjeong Choi, Sungjin Kim, Hosik Choi, Kyungwoo SongMulti-purpose Technology Commercialization Recommender System with Large-scale Korean Language Model
Hyeji Hwang*, YongTaek Lim*, Changdae Oh*, Seungyeon Kim, Eunkyeong Lee, Yunjeong Choi, Sungjin Kim, Hosik Choi, Kyungwoo SongRobust Contrastive Learning with Dynamic Mixed Margin
Junhyuk So*, YongTaek Lim*, Yewon Kim*, Changdea Oh, Kyungwoo SongGraph Perceiver IO: A General Architecture for Graph Structured Data
[paper]
Seyun Bae, Hoyoon Byun, Changdea Oh, Yoon-Sik Cho, Kyungwoo SongGeodesic Multi-Modal Mixup for Robust Fine-tuning
[paper]
Junhyuk So*, Changdea Oh*, YongTaek Lim, Hoyoon Byun, Minchul Shin, Jong-June Jeon, Kyungwoo Song
Projects
- Education Contents Analysis and Relation Extraction, TIPS, Dec. 2022 - present
- Education Contents Relationship Analysis with Multimodal Learning, AI Digital Innovation Sharing University, Dec. 2022 - Jan. 2023
- Multi-purpose Technology Commercialization Documents Recommendation, KISTI, Mar. 2022 - Nov. 2022
- Epidemiological Relevance Evaluation Technology for Vaccination Reactions, Ministry of Food and Drug Safety, Mar. 2022 - present
- Keyword Extraction for Technology Commercialization Documents, KISTI, June. 2021 - Oct. 2021