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Minchan Jeong

Preservation of the Global Knowledge by Not-True Distillation in Federated Learning
2022 · Gihun Lee, Minchan Jeong, et al. · neural information processing systems · 109
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Preservation of the Global Knowledge by Not-True Self Knowledge Distillation in Federated Learning.
2021 · Gihun Lee, Yongjin Shin, et al. · arXiv (Cornell University) · 24
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
2024 · Gihun Lee, Minchan Jeong, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 21
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Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning
2023 · Haeju Lee, Minchan Jeong, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 5
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Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective
2023 · Jongwoo Ko, Seungjoon Park, et al. · Findings of the Association for Computational Linguistics: EACL · 4
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Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL
2024 · Yunseon Choi, Sangmin Bae, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 2
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BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization
2024 · Gihun Lee, Minchan Jeong, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 2
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From Belief Entrenchment to Robust Reasoning in LLM Agents
2026 · Jihwan Oh, Minchan Jeong, et al. · Transactions of the Association for Computational Linguistics · 1
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL
2024 · Choi, Yunseon, Bae, Sangmin, et al. · arXiv (Cornell University) · 1
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Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning
2023 · Jihwan Oh, Joonkee Kim, et al. · Adaptive Agents and Multi-Agents Systems · 1
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Robust Streaming PCA
2022 · Daniel Bienstock, Minchan Jeong, et al. · neural information processing systems · 1
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From Belief Entrenchment to Robust Reasoning in LLM Agents
2026 · Association for Computational Linguistics 2026, Jeong, Minchan, et al. · Underline Science Inc.
PerMix-RLVR: Preserving Persona Expressivity under Verifiable-Reward Alignment
2026 · Oh, Jihwan, Oh, Soowon, et al. · arXiv (Cornell University)
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Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems
2025 · Minchan Jeong, Jongha (Jon) Ryu, et al. · neural information processing systems
DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization
2025 · Yunseon Choi, Minchan Jeong, et al. · neural information processing systems
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning
2024 · Kim, Seongyoon, Jeong, Minchan, et al. · arXiv (Cornell University)
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CoEM: Contrastive Embedding Mapper for Audio-visual Latents
2023 · Gihun Lee, Kyungchae Lee, et al. · Journal of KIISE
Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles
2017 · Kim, Jung-hun, Yun, Se-Young, et al. · HAL
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Works count: 21
Citation count: 171
H-index: 4
I10-index: 3
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