Eunchung Noh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
6
Active years
2024–2026
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Let the Void Be Void: Robust Open-Set Semi-Supervised Learning via Selective Non-Alignment. | You Rim Choi, Subeom Park, Seojun Heo, Eunchung Noh, Hyung-Sin Kim |
| 2026 | WACV | Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models. | Junyi Zhu, Ruicong Yao, Taha Ceritli, Savas zkan, Matthew B. Blaschko, Eunchung Noh, Jeongwon Min, Cho Jung Min, Mete Ozay |
| 2025 | CVPR | Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation. | Andrea Maracani, Savas zkan, Sijun Cho, Hyowon Kim, Eunchung Noh, Jeongwon Min, Cho Jung Min, Dookun Park, Mete Ozay |
| 2025 | ICASSP | A Study of Improving The Privacy-Utility Trade-off of Task-specific Models with Learnable Privacy. | Savas zkan, Taha Ceritli, Jeongwon Min, Eunchung Noh, Jung Min Cho, Dookun Park, Mete Ozay |
| 2025 | ICASSP | Hyper-Refinement for Low-Rank Adaptation. | Savas zkan, Taha Ceritli, Jeongwon Min, Eunchung Noh, Jung Min Cho, Dookun Park, Mete Ozay |
| 2025 | MMSys | Efficient and Accurate Scene Text Recognition with Cascaded-Transformers. | Savas zkan, Andrea Maracani, Mete Ozay, Hyowon Kim, Sijun Cho, Eunchung Noh, Jeongwon Min, Jung Min Cho |
| 2024 | EMNLP | A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune. | Taha Ceritli, Savas zkan, Jeongwon Min, Eunchung Noh, Cho Min, Mete Ozay |