Multi-armed Bandit with Additional Observations. - Donggyu Yun; Alexandre Proutière; Sumyeong Ahn; Jinwoo Shin; Yung Yi (Proc. ACM Meas. Anal. Comput. Syst., 2018)

Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation. - Hai H. Tran; Sumyeong Ahn; Taeyoung Lee; Yung Yi (ICPR, 2020)

Neuro-DCF: Design of Wireless MAC via Multi-Agent Reinforcement Learning Approach. - Sangwoo Moon; Sumyeong Ahn; Kyunghwan Son; Jinwoo Park; Yung Yi (MobiHoc, 2021)

Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels. - Sumyeong Ahn; Se-Young Yun (AAAI, 2023)

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 (EMNLP (Findings), 2023)

CUDA: Curriculum of Data Augmentation for Long-tailed Recognition. - Sumyeong Ahn; Jongwoo Ko; Se-Young Yun (ICLR, 2023)

Mitigating Dataset Bias by Using Per-Sample Gradient. - Sumyeong Ahn; Seongyoon Kim; Se-Young Yun (ICLR, 2023)

Large Language Models in Medical Term Classification and Unexpected Misalignment Between Response and Reasoning. - Xiaodan Zhang; Sandeep Vemulapalli; Nabasmita Talukdar; Sumyeong Ahn; Jiankun Wang 002; Han Meng; Sardar Mehtab Bin Murtaza; Aakash Ajay Dave; Dmitry Leshchiner; Dimitri F. Joseph; Martin Witteveen-Lane; Dave Chesla; et al. (CoRR, 2023)

Active Prompt Learning in Vision Language Models. - Jihwan Bang; Sumyeong Ahn; Jae-Gil Lee 001 (CVPR, 2024)

Fine-tuning Pre-trained Models for Robustness under Noisy Labels. - Sumyeong Ahn; Sihyeon Kim; Jongwoo Ko; Se-Young Yun (IJCAI, 2024)

Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models. - Jiankun Wang 002; Sumyeong Ahn; Taykhoom Dalal; Xiaodan Zhang; Weishen Pan; Qiannan Zhang; Bin Chen; Hiroko H. Dodge; Fei Wang; Jiayu Zhou (CoRR, 2024)

Distributed In-Context Learning under Non-IID Among Clients. - Siqi Liang 001; Sumyeong Ahn; Jiayu Zhou (CoRR, 2024)

VACoDe: Visual Augmented Contrastive Decoding. - Sihyeon Kim; Boryeong Cho; Sangmin Bae; Sumyeong Ahn; Se-Young Yun (CoRR, 2024)

Dual Debiasing for Noisy In-Context Learning for Text Generation. - Siqi Liang 001; Sumyeong Ahn; Paramveer Dhillon; Jiayu Zhou (ACL (Findings), 2025)

FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning. - Seongyoon Kim; Minchan Jeong; Sungnyun Kim; Sungwoo Cho; Sumyeong Ahn; Se-Young Yun (Trans. Mach. Learn. Res., 2025)