Gihun Lee

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Global Knowledge

Learning Frameworks

Cell Segmentation

Term Dependencies

Top Venues

Cell Segmentation Challenge @ NeurIPS

DistributedML@CoNEXT

Publications

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 (2024)
Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun
Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions. ICLR (2024)
Jun Ma, Ronald Xie, Shamini Ayyadhury, Cheng Ge, Anubha Gupta, Ritu Gupta, Song Gu, Yao Zhang, Gihun Lee, Joonkee Kim, Wei Lou, Haofeng Li, Eric Upschulte, Timo Dickscheid, José Guilherme de Almeida, Yixin Wang, Lin Han, Xin Yang, Marco Labagnara, Sahand Jamal Rahi, Carly Kempster, Alice Pollitt, Leon Espinosa, Tâm Mignot, Jan Moritz Middeke, Jan-Niklas Eckardt, Wangkai Li, Zhaoyang Li, Xiaochen Cai, Bizhe Bai, Noah F. Greenwald, David Van Valen, Erin Weisbart, Beth A. Cimini, Zhuoshi Li, Chao Zuo, Oscar Brück, Gary D. Bader, Bo Wang
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions. CoRR (2023)
Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun
Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network. AAAI (2023)
Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun
Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions. CoRR (2023)
Seongyoon Kim, Gihun Lee, Jaehoon Oh, Se-Young Yun
FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning. CoRR (2023)
Gihun Lee, Minchan Jeong, Sangmook Kim, Jaehoon Oh, Se-Young Yun
FedSoL: Bridging Global Alignment and Local Generality in Federated Learning. CoRR (2023)
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)
Gihun Lee, Minchan Jeong, Yongjin Shin, Sangmin Bae, Se-Young Yun
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning. NeurIPS (2022)
Gihun Lee, Sangmook Kim, Joonkee Kim, Se-Young Yun
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy. CoRR (2022)
Gihun Lee, Mihui Kim
Deepfake Detection Using the Rate of Change between Frames Based on Computer Vision. Sensors 21 (21) (2021)
Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun
Self-Contrastive Learning. CoRR (2021)
Gihun Lee, Yongjin Shin, Minchan Jeong, Se-Young Yun
Preservation of the Global Knowledge by Not-True Self Knowledge Distillation in Federated Learning. CoRR (2021)
Yongjin Shin, Gihun Lee, Seungjae Shin, Seyoung Yun, Il-Chul Moon
FEWER: Federated Weight Recovery. DistributedML@CoNEXT (2020)
Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun
SIPA: A Simple Framework for Efficient Networks. ICDM (Workshops) (2020)
Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun
SIPA: A Simple Framework for Efficient Networks. CoRR (2020)
Sungnyun Kim, Gihun Lee, Sangmin Bae, Se-Young Yun
MixCo: Mix-up Contrastive Learning for Visual Representation. CoRR (2020)