| 2025 | ACL | Dual Debiasing for Noisy In-Context Learning for Text Generation. | Siqi Liang, Sumyeong Ahn, Paramveer Dhillon, Jiayu Zhou |
| 2024 | CVPR | Active Prompt Learning in Vision Language Models. | Jihwan Bang, Sumyeong Ahn, Jae-Gil Lee |
| 2024 | IJCAI | Fine-tuning Pre-trained Models for Robustness under Noisy Labels. | Sumyeong Ahn, Sihyeon Kim, Jongwoo Ko, Se-Young Yun |
| 2023 | AAAI | Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels. | Sumyeong Ahn, Se-Young Yun |
| 2023 | EMNLP | NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models. | Jongwoo Ko, Seungjoon Park, Yujin Kim, Sumyeong Ahn, Du-Seong Chang, Euijai Ahn, Se-Young Yun |
| 2023 | ICLR | CUDA: Curriculum of Data Augmentation for Long-tailed Recognition. | Sumyeong Ahn, Jongwoo Ko, Se-Young Yun |
| 2023 | ICLR | Mitigating Dataset Bias by Using Per-Sample Gradient. | Sumyeong Ahn, Seongyoon Kim, Se-Young Yun |
| 2021 | MOBIHOC | Neuro-DCF: Design of Wireless MAC via Multi-Agent Reinforcement Learning Approach. | Sangwoo Moon, Sumyeong Ahn, Kyunghwan Son, Jinwoo Park, Yung Yi |
| 2020 | ICPR | Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation. | Hai H. Tran, Sumyeong Ahn, Taeyoung Lee, Yung Yi |
| 2018 | SIGMETRICS | Multi-armed Bandit with Additional Observations. | Donggyu Yun, Sumyeong Ahn, Alexandre Proutire, Jinwoo Shin, Yung Yi |