Gihun Lee - RankMe

23 papers A* 4Journal 13Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Learning to Summarize from LLM-generated Feedback. NAACL (Long Papers) Hwanjun Song, Taewon Yun, Yuho Lee, Jihwan Oh, Gihun Lee, Jason Cai, Hang Su
2024	—	`conf`	BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization. EMNLP (Findings) Gihun Lee, Minchan Jeong, Yujin Kim, Hojung Jung, Jaehoon Oh, Sangmook Kim, Se-Young Yun
2024	J	`jnl`	BAPO: Base-Anchored Preference Optimization for Personalized Alignment in Large Language Models. CoRR Gihun Lee, Minchan Jeong, Yujin Kim, Hojung Jung, Jaehoon Oh, Sangmook Kim, Se-Young Yun
2024	—	`conf`	CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery Platform. ICDM (Workshops) Beomsu Kim, Sangbum Kim, Minchan Kim, Joonyoung Yi, Sungjoo Ha, Suhyun Lee, Youngsoo Lee, Gihoon Yeom, Buru Chang, Gihun Lee
2024	J	`jnl`	CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery Platform. CoRR Beomsu Kim, Sangbum Kim, Minchan Kim, Joonyoung Yi, Sungjoo Ha, Suhyun Lee, Youngsoo Lee, Gihun Yeom, Buru Chang, Gihun Lee
2024	A*	`conf`	FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning. CVPR Gihun Lee, Minchan Jeong, Sangmook Kim, Jaehoon Oh, Se-Young Yun
2024	A*	`conf`	Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions. ICLR Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun
2024	J	`jnl`	Learning to Summarize from LLM-generated Feedback. CoRR Hwanjun Song, Taewon Yun, Yuho Lee, Gihun Lee, Jason Cai, Hang Su
2023	J	`jnl`	Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions. CoRR Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun
2023	J	`jnl`	FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning. CoRR Seongyoon Kim, Gihun Lee, Jaehoon Oh, Se-Young Yun
2023	J	`jnl`	FedSoL: Bridging Global Alignment and Local Generality in Federated Learning. CoRR Gihun Lee, Minchan Jeong, Sangmook Kim, Jaehoon Oh, Se-Young Yun
2023	A*	`conf`	Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network. AAAI Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun
2023	J	`jnl`	The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions. CoRR 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
2022	—	`conf`	MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy. Cell Segmentation Challenge @ NeurIPS Gihun Lee, Sangmook Kim, Joonkee Kim, Se-Young Yun
2022	J	`jnl`	MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy. CoRR Gihun Lee, Sangmook Kim, Joonkee Kim, Se-Young Yun
2022	A*	`conf`	Preservation of the Global Knowledge by Not-True Distillation in Federated Learning. NeurIPS Gihun Lee, Minchan Jeong, Yongjin Shin, Sangmin Bae, Se-Young Yun
2021	J	`jnl`	Deepfake Detection Using the Rate of Change between Frames Based on Computer Vision. Sensors Gihun Lee, Mihui Kim
2021	J	`jnl`	Preservation of the Global Knowledge by Not-True Self Knowledge Distillation in Federated Learning. CoRR Gihun Lee, Yongjin Shin, Minchan Jeong, Se-Young Yun
2021	J	`jnl`	Self-Contrastive Learning. CoRR Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun
2020	—	`conf`	FEWER: Federated Weight Recovery. DistributedML@CoNEXT Yongjin Shin, Gihun Lee, Seungjae Shin, Seyoung Yun, Il-Chul Moon
2020	J	`jnl`	MixCo: Mix-up Contrastive Learning for Visual Representation. CoRR Sungnyun Kim, Gihun Lee, Sangmin Bae, Se-Young Yun
2020	—	`conf`	SIPA: A Simple Framework for Efficient Networks. ICDM (Workshops) Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun
2020	J	`jnl`	SIPA: A Simple Framework for Efficient Networks. CoRR Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun