About Me
I am an incoming Ph.D. student in Department of Computer Sciences at the University of Wisconsin-Madison, advised by Prof. Sharon Yixuan Li. Before joining Sharon’s group, I obtained my MS degree in Artificial Intelligence at the University of Seoul under supervision of Prof. Kyungwoo Song and Prof. Jiyoung Jung. I had the privilege of working with Zhi-Qi Cheng, Alexander Hauptmann, and David Mortensen during visiting at Carnegie Mellon University, and internship at NAVER AI Lab allows me to be advised by Dongyoon Han and Sangdoo Yun.
I am broadly interested in machine learning and representation learning. Recently, I have been immersed in realizing reliable AI from the context of large-scale foundation models in the wild. To that end, I have explored the intersection of representation learning, robustness under distribution shift, and efficient transfer learning of foundation models.
Publication
(conference, journal, and * denotes equal contribution)
Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments
Hee-young Lee*, Hoyoon Byun*, Changdae Oh, JinYeong Bak, Kyungwoo Song
ECAI 2024First Step for Theoretical and Practical Foundations of Robust Visual Prompting
Gyeongdeok Seo*, Changdae Oh*, Kyungwoo Song
IJCAI 2024, The Trustworthy AI WorkshopLanguage Model-guided Student Performance Prediction with Multimodal Auxiliary Information
Changdae Oh, Minhoi Park, Sungjun Lim, Kyungwoo Song
[paper] [code]
Expert Systems with Applications 2024Bibimbap: Pre-trained Models Ensemble for Domain Generalization
Jinho Kang, Taero Kim, Yewon Kim, Changdae Oh, Jiyoung Jung, Rakwoo Chang, Kyungwoo Song
[paper] [code]
Pattern Recognition 2024Towards Calibrated Robust Fine-Tuning of Vision-Language Models
Changdae Oh*, Hyesu Lim*, Mijoo Kim, Jaegul Choo, Alexander Hauptmann, Zhi-Qi Cheng, Kyungwoo Song
[paper]
NeurIPS 2023, Workshop on Distribution ShiftsGeodesic Multi-Modal Mixup for Robust Fine-tuning
Changdae Oh*, Junhyuk So*, YongTaek Lim, Hoyoon Byun, Minchul Shin, Jong-June Jeon, Kyungwoo Song
[paper] [code]
NeurIPS 2023Robust Contrastive Learning with Dynamic Mixed Margin
[paper] [code]
Junhyuk So*, YongTaek Lim*, Yewon Kim*, Changdae Oh, Kyungwoo Song
IEEE Access 2023BlackVIP: 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
Preprints
Robust Adaptation of Foundation Models with Black-Box Visual Prompting
[paper]
Changdae Oh, Gyeongdeok Seo, Geunyoung Jung, Zhi-Qi Cheng, Hosik Choi, Jiyoung Jung, Kyungwoo SongMitigating the Linguistic Gap with Phonemic Representations for Robust Multilingual Language Understanding
[paper]
Hae Ji Jung, Changdae Oh, Jooeon Kang, Jimin Sohn, Kyungwoo Song, Jinkyu Kim, David R. Mortensen
- TC-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 Song
- Graph Perceiver IO: A General Architecture for Graph Structured Data
[paper]
Seyun Bae, Hoyoon Byun, Changdae Oh, Yoon-Sik Cho, Kyungwoo Song
Education
Ph.D. in Computer Science, University of Wisconsin-Madison
advisor: Prof. Sharon Yixuan Li
Sep. 2024 ~ PresentM.S. in Artificial Intelligence, University of Seoul
advisor: Prof. Kyungwoo Song and Prof. Jiyoung Jung
Mar. 2022 - Aug. 2024B.S. in Statistics, University of Seoul
Mar. 2016 - Feb. 2022
Experience
- Research Intern, NAVER AI Lab
Mentor: Dr. Dongyoon Han and Dr. Sangdoo Yun, Apr. 2023 ~ Aug. 2024 - Visiting Student / Collaborator, Carnegie Mellon University
Mentor: Dr. Zhi-Qi Cheng, Sep. 2023 ~ Feb. 2024
Awards & Scholarships
- DEI Scholarship Travel Awards, CVPR, Apr. 2023
- (Scholarship; USD 41K) AI Intensive Program at Carnegie Mellon University, IITP and Sogang University, Mar. 2023
- (1st place) Outstanding Paper Award, President’s prize, University of Seoul, Feb. 2023
- (2nd place) Presentation Award, Workshop on Data-Driven Chemicals Management, University of Seoul, Feb. 2023
- Student Travel Awards, KDD, Jul. 2022
- Academic Excellence Scholarship (half-tuition), University of Seoul, Feb. 2021
- Academic Excellence Scholarship (half-tuition), University of Seoul, Aug. 2020
Academic Services
- Conference Reviewer
- 2024: CVPR, NeurIPS
- Conference Volunteer
- 2022: KDD