CV
Education
- Gyeonggi Science High School for The Gifted, 2010.03-2013.02
- B.S. in Mathematics, KAIST, 2013.03-2020.08
- M.S. in AI, KAIST, 2020.09-2022.08
- PhD. in AI, KAIST, 2022.08-present
Publications
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
Chaeyun Jang*, Hyungi Lee*, Jungtaek Kim, Juho Lee
* Equal contribution
NeurIPS 2024 (spotlight)(To appear)Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
Hyungi Lee*, Giung Nam*, Edwin Fong, Juho Lee
* Equal contribution
ICLR 2024Sparse Weight Averaging with Multiple Particles for Iterative Magitude Pruning
Moonseok Choi*, Hyungi Lee*, Giung Nam*, Juho Lee
* Equal contribution
ICLR 2024Function Space Bayesian Pseudocoreset for Bayesian Neural Networks
Balhae Kim, Hyungi Lee, Juho Lee
NeurIPS 2023Traversing Between Modes in Function Space for Fast Ensembling
Eunggu Yun*, Hyungi Lee*, Giung Nam*, Juho Lee
* Equal contribution
ICML 2023Regularizing Towards Soft Equivariance Under Mixed Symmetries
Hyunsu Kim, Hyungi Lee, Hongseok Yang, Juho Lee
ICML 2023Martingale Posterior Neural Processes
Hyungi Lee, Eunggu Yun, Giung Nam, Edwin Fong, Juho Lee
ICLR 2023 (spotlight)Improving ensemble distillation with weight averaging and diversifying perturbation
Giung Nam, Hyungi Lee, Byeongho Heo, Juho Lee
ICML 2022Scale Mixture of Neural Network Gaussian Processes
Hyungi Lee, Eunggu Yun, Hongseok Yang, Juho Lee
ICLR 2022
Workshop
Efficient Modeling of Irregular Time-Series with Stochastic Optimal Control
Byoungwoo Park*, Hyungi Lee*, Juho Lee
*Equal contribution
NeurIPS 2024 Workshop Bayesian Decision-making and UncertaintyFunction Space Bayesian Pseudocoreset for Bayesian Neural Networks
Balhae Kim, Hyungi Lee, Juho Lee
ICML 2023 WorkshopModel Fusion through Bayesian Optimization in Language Model Fine-Tuning
Chaeyun Jang, Jungtaek Kim, Hyungi Lee, Juho Lee
The 3rd NeurIPS Workshop on Efficient Natural Language and Speech Processing (ENLSP)