VCAM: Variation Compensation through Activation Matching for Analog Binarized Neural Networks. - Jaehyun Kim; Chaeun Lee; Jihun Kim; Yumin Kim; Cheol Seong Hwang; Kiyoung Choi (ISLPED, 2019)

Kernel Application of the Stacked Crossbar Array Composed of Self-Rectifying Resistive Switching Memory for Convolutional Neural Networks. - Yumin Kim; Jihun Kim; Seung Soo Kim; Young Jae Kwon; Gil Seop Kim; Jeong Woo Jeon; Dae Eun Kwon; Jung Ho Yoon; Cheol Seong Hwang (Adv. Intell. Syst., 2020)

OBFUS: An Obfuscation Tool for Software Copyright and Vulnerability Protection. - Seoyeon Kang; Sujeong Lee; Yumin Kim; Seong-Kyun Mok; Eun-Sun Cho (CODASPY, 2021)

Machine learning-based prediction for 30-day unplanned readmission in all-types cancer patients. - Hyojung Jung; Hyun Woo Park; Yumin Kim; Yul Hwangbo (BigComp, 2023)

Prediction of Chemotherapy-Induced Neutropenia using Machine Learning in Cancer Patients. - Yumin Kim; Yeji Lee; Hyun Woo Park; Hyojung Jung; Yul Hwangbo; Hyo Soung Cha (BigComp, 2023)

KoCoSa: Korean Context-aware Sarcasm Detection Dataset. - Yumin Kim; Heejae Suh; Mingi Kim; Dongyeon Won; Hwanhee Lee (LREC/COLING, 2024)

Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction. - Yumin Kim; Gayoon Choi; Seong Jae Hwang (MICCAI (7), 2024)

PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling. - Donghyun Kim; Hyeonkyeong Kwon; Yumin Kim; Seong Jae Hwang (AAAI, 2025)

Personality Editing for Language Models through Relevant Knowledge Editing. - Seojin Hwang; Yumin Kim; Byeongjeong Kim; Hwanhee Lee (CoRR, 2025)

Selective Demonstration Retrieval for Improved Implicit Hate Speech Detection. - Yumin Kim; Hwanhee Lee (CoRR, 2025)

Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question Answering. - Hwan Chang; Yumin Kim; Yonghyun Jun; Hwanhee Lee (CoRR, 2025)