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Changdae Oh
Observed name:
Oh, Changdae
Institution:
University of Wisconsin–Madison
Observed institutions:
University of Seoul,
University of Wisconsin–Madison
ORCID:
0000-0002-9247-8030
Observed ORCID:
0000-0002-9247-8030
OpenAlex ID:
A5055143878
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning
2023
·
Changdae Oh
, Hyeji Hwang
, et al.
·
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
·
46
PDF
Learning Fair Representation via Distributional Contrastive Disentanglement
2022
·
Changdae Oh
, Heeji Won
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
·
33
PDF
Bibimbap : Pre-trained models ensemble for Domain Generalization
2024
·
Jinho Kang
, Taero Kim
, et al.
·
Pattern Recognition
·
15
Geodesic Multi-Modal Mixup for Robust Fine-Tuning
2023
·
Changdae Oh
, Junhyuk So
, et al.
·
neural information processing systems
·
12
PDF
Towards Calibrated Robust Fine-Tuning of Vision-Language Models
2024
·
Changdae Oh
, Hyesu Lim
, et al.
·
neural information processing systems
·
9
PDF
Language model-guided student performance prediction with multimodal auxiliary information
2024
·
Changdae Oh
, Minhoi Park
, et al.
·
Expert Systems with Applications
·
7
Graph Perceiver IO: A general architecture for graph-structured data
2025
·
Seyun Bae
, Hoyoon Byun
, et al.
·
Pattern Recognition
·
3
PDF
TC-BERT: large-scale language model for Korean technology commercialization documents
2024
·
Taero Kim
, Changdae Oh
, et al.
·
The Journal of Supercomputing
·
3
Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities
2026
·
Changdae Oh
, Seongheon Park
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
2
PDF
Robust Contrastive Learning With Dynamic Mixed Margin
2023
·
Junhyuk So
, Yongtaek Lim
, et al.
·
IEEE Access
·
2
PDF
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
2024
·
Oh, Changdae
, Li, Yixuan
, et al.
·
arXiv (Cornell University)
·
1
PDF
Tc-Bert: Large-Scale Language Model for Korean Technology Commercialization Documents
2023
·
Hyeji Hwang
, Changdae Oh
, et al.
·
SSRN Electronic Journal
·
1
LEASH: Uncertainty-Aware Weak-to-Strong Escalation and Oversight for Computer-Use Agents
2026
·
Wang, Qingni
, Oh, Changdae
, et al.
·
arXiv (Cornell University)
PDF
MIMESIS: Learning User Simulators as Training Environments for Interactive Agents
2026
·
Phan, Hoang
, Huynh, Dat
, et al.
·
arXiv (Cornell University)
PDF
Robust Adaptation of Foundation Models With Black-Box Visual Prompting
2026
·
Changdae Oh
, Gyeongdeok Seo
, et al.
·
IEEE Transactions on Pattern Analysis and Machine Intelligence
PDF
VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation
2026
·
Park, Seongheon
, Oh, Changdae
, et al.
·
arXiv (Cornell University)
PDF
VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation
2026
·
Seongheon Park
, Changdae Oh
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
PDF
Multi-purpose technology commercialization recommender system with large-scale Korean language model
2025
·
Kangjun Noh
, Hyeji Hwang
, et al.
·
The Journal of Supercomputing
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Works count:
18
Citation count:
134
H-index:
6
I10-index:
4
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