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ORCIDSangmook Kim
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2020 – today
- 2025
[c8]Yongjin Yang, Sihyeon Kim, Hojung Jung, Sangmin Bae, SangMook Kim, Se-Young Yun, Kimin Lee:
Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models. ICLR 2025- 2024
- [c7]Gihun Lee, Minchan Jeong, Sangmook Kim, Jaehoon Oh, Se-Young Yun:
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning. CVPR 2024: 12512-12522 - [c6]Gihun Lee, Minchan Jeong, Yujin Kim, Hojung Jung, Jaehoon Oh, SangMook Kim, Se-Young Yun:
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization. EMNLP (Findings) 2024: 6804-6820 - [i8]Yongjin Yang, Sihyeon Kim, SangMook Kim, Gyubok Lee, Se-Young Yun, Edward Choi:
Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL. CoRR abs/2405.01588 (2024) - [i7]Gihun Lee, Minchan Jeong, Yujin Kim, Hojung Jung, Jaehoon Oh, Sangmook Kim, Se-Young Yun:
BAPO: Base-Anchored Preference Optimization for Personalized Alignment in Large Language Models. CoRR abs/2407.00693 (2024) - [i6]Yongjin Yang, Sihyeon Kim, Hojung Jung, Sangmin Bae, SangMook Kim, Se-Young Yun, Kimin Lee:
Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models. CoRR abs/2410.10166 (2024) - 2023
- [c5]Sangmook Kim, Sangmin Bae, Hwanjun Song, Se-Young Yun:
Re-Thinking Federated Active Learning Based on Inter-Class Diversity. CVPR 2023: 3944-3953 - [i5]Sangmook Kim, Sangmin Bae, Hwanjun Song, Se-Young Yun:
Re-thinking Federated Active Learning based on Inter-class Diversity. CoRR abs/2303.12317 (2023) - [i4]Gihun Lee, Minchan Jeong, Sangmook Kim, Jaehoon Oh, Se-Young Yun:
FedSoL: Bridging Global Alignment and Local Generality in Federated Learning. CoRR abs/2308.12532 (2023) - 2022
- [c4]Sangmook Kim, Wonyoung Shin, Soohyuk Jang, Hwanjun Song, Se-Young Yun
:
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning. CIKM 2022: 972-981 - [c3]Jaehoon Oh, Sangmook Kim, Se-Young Yun:
FedBABU: Toward Enhanced Representation for Federated Image Classification. ICLR 2022 - [c2]Gihun Lee, SangMook Kim, Joonkee Kim, Se-Young Yun:
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy. Cell Segmentation Challenge @ NeurIPS 2022: 1-16 - [i3]Sangmook Kim, Wonyoung Shin, Soohyuk Jang, Hwanjun Song, Se-Young Yun:
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning. CoRR abs/2205.01310 (2022) - [i2]Gihun Lee, Sangmook Kim, Joonkee Kim, Se-Young Yun:
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy. CoRR abs/2212.03465 (2022) - 2021
- [i1]Jaehoon Oh, Sangmook Kim, Se-Young Yun:
FedBABU: Towards Enhanced Representation for Federated Image Classification. CoRR abs/2106.06042 (2021)
2010 – 2019
- 2019
- [c1]Jaehoon Oh, Sangmook Kim, Se-Young Yun, Seungwoo Choi, Mun Yong Yi:
A pipelined hybrid recommender system for ranking the items on the display. RecSys Challenge 2019: 9:1-9:5 - 2012
- [j1]So-Ra Gang, Deokgi Kim, Sang-Mook Kim, Nam Hwang, Kwang-Cheol Lee:
Improvement in the moisture stability of CaS: Eu phosphor applied in light-emitting diodes by titania surface coating. Microelectron. Reliab. 52(9-10): 2174-2179 (2012)
Coauthor Index
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