Donggeun Ko

According to our database, Donggeun Ko authored at least 11 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

PacECG-Net: A Multi-modal Approach Integrating LLMs and ECG for LVSD Classification in Pacemaker Patients.

Wonkyeong Shim, Namjun Park, Donggeun Ko, San Kim, Hyebin Gwag, Youngjun Park, Seungjung Park, Jaekwang Kim

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

Hierarchical Contrastive Learning with Multiple Augmentations for Sequential Recommendation.

Dongjun Lee, Donggeun Ko, Jaekwang Kim

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models.

Donggeun Ko, Dongjun Lee, Namjun Park, Wonkyeong Shim, Jaekwang Kim

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

2024

DiffInject: Revisiting Debias via Synthetic Data Generation using Diffusion-based Style Injection.

Donggeun Ko, Sangwoo Jo, Dongjun Lee, Namjun Park, Jaekwang Kim

CoRR, 2024

LMCG-Net: Integrating LLMs and ECG for LVEF-Based Classification for Pacing Patients.

Wonkyeong Shim, Namjun Park, Donggeun Ko, Hyebin Gwag, Youngjun Park, Seungjung Park, Jaekwang Kim

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Hierarchical Contrastive Learning with Multiple Augmentation for Sequential Recommendation.

Dongjun Lee, Donggeun Ko, Jaekwang Kim

CoRR, 2023

MGCMA: Multi-scale Generator with Channel-wise Mask Attention to generate Synthetic Contrast-enhanced Chest Computed Tomography.

Jeongho Kim, Yun-Gyoo Lee, Donggeun Ko, Taejune Kim, Soo-Youn Ham, Simon S. Woo

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

AmpliBias: Mitigating Dataset Bias through Bias Amplification in Few-shot Learning for Generative Models.

Donggeun Ko, Dongjun Lee, Namjun Park, Kyoungrae Noh, Hyeonjin Park, Jaekwang Kim

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Deepfake Detection for Facial Images with Facemasks.

Donggeun Ko, Sangjun Lee, Jinyong Park, Saebyeol Shin, Donghee Hong, Simon S. Woo

CoRR, 2022

Deepfake Detection for Fake Images with Facemasks.

Sangjun Lee, Donggeun Ko, Jinyong Park, Saebyeol Shin, Donghee Hong, Simon S. Woo

Proceedings of the WDC@AsiaCCS '22: Proceedings of the 1st Workshop on Security Implications of Deepfakes and Cheapfakes, 2022

A²: Adaptive Augmentation for Effectively Mitigating Dataset Bias.

Jaeju An, Taejune Kim, Donggeun Ko, Sangyup Lee, Simon S. Woo

Proceedings of the Computer Vision - ACCV 2022, 2022