Minchan Jeong

22 papers A* 3A 2Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems.
CoRR
Minchan Jeong, Jongha Jon Ryu, Se-Young Yun, Gregory W. Wornell
2025 J jnl
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning.
Trans. Mach. Learn. Res.
Seongyoon Kim, Minchan Jeong, Sungnyun Kim, Sungwoo Cho, Sumyeong Ahn, Se-Young Yun
2025 J jnl
When Debate Fails: Bias Reinforcement in Large Language Models.
CoRR
Jihwan Oh, Minchan Jeong, Jongwoo Ko, Se-Young Yun
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 J jnl
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning.
CoRR
Haeju Lee, Minchan Jeong, Se-Young Yun, Kee-Eung Kim
2024 — conf
CAN-Based Identification of Human and Autonomous Driving Modes in Level 3 Autonomous Vehicles.
INCoS
Keunyoung Yu, Donghyun Ryu, Minchan Jeong, Munkhdelgerekh Batzorig, Kangbin Yim
2024 — conf
Effect of DoS Attack into LiDAR Ethernet.
IMIS
Yoonji Kim, Insu Oh, Jiung Hwang, Minchan Jeong, Kangbin Yim
2024 J jnl
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning.
CoRR
Seongyoon Kim, Minchan Jeong, Sungnyun Kim, Sungwoo Cho, Sumyeong Ahn, Se-Young Yun
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 — conf
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL.
ACL (1)
Yunseon Choi, Sangmin Bae, Seonghyun Ban, Minchan Jeong, Chuheng Zhang, Lei Song, Li Zhao, Jiang Bian, Kee-Eung Kim
2024 J jnl
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL.
CoRR
Yunseon Choi, Sangmin Bae, Seonghyun Ban, Minchan Jeong, Chuheng Zhang, Lei Song, Li Zhao, Jiang Bian, Kee-Eung Kim
2023 — conf
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning.
EMNLP (Findings)
Haeju Lee, Minchan Jeong, Se-Young Yun, Kee-Eung Kim
2023 A conf
Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles.
AISTATS
Jung-Hun Kim, Se-Young Yun, Minchan Jeong, Junhyun Nam, Jinwoo Shin, Richard Combes
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 — conf
Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective.
EACL (Findings)
Jongwoo Ko, Seungjoon Park, Minchan Jeong, Sukjin Hong, Euijai Ahn, Du-Seong Chang, Se-Young Yun
2023 J jnl
Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective.
CoRR
Jongwoo Ko, Seungjoon Park, Minchan Jeong, Sukjin Hong, Euijai Ahn, Du-Seong Chang, Se-Young Yun
2023 A conf
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning.
AAMAS
Jihwan Oh, Joonkee Kim, Minchan Jeong, Se-Young Yun
2023 J jnl
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning.
CoRR
Jihwan Oh, Joonkee Kim, Minchan Jeong, 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
2022 A* conf
Robust Streaming PCA.
NeurIPS
Daniel Bienstock, Minchan Jeong, Apurv Shukla, Se-Young Yun
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