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Juho Lee
KAIST, Daejeon, South Korea
29 papers at tracked venues · 28 at CORE A* · active 2024–2025
DBLP profile ↗
ORCID 0000-0002-6725-6874 ↗
Google Scholar ↗
Homepage ↗
Venues
ICLR
×11
NeurIPS
×10
ICML
×5
AAAI
×1
ACL
×1
ECCV
×1
Frequent coauthors
Hyungi Lee
×9
Hyunsu Kim
×7
Giung Nam
×7
Sung Ju Hwang
×6
Seanie Lee
×6
Dong Bok Lee
×5
Moonseok Choi
×4
Hongseok Yang
×3
Chaeyun Jang
×3
Jongmin Yoon
×3
Dominik Wagner
×3
Haebin Seong
×3
Papers
Active Learning with Selective Time-Step Acquisition for PDEs
BibTeX ⧉
ICML 2025
·
Yegon Kim
,
Hyunsu Kim
,
Gyeonghoon Ko
,
Juho Lee
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series
BibTeX ⧉
ICLR 2025
·
Byoungwoo Park
,
Hyungi Lee
,
Juho Lee
Axial Neural Networks for Dimension-Free Foundation Models
BibTeX ⧉
NeurIPS 2025
·
Hyunsu Kim
,
Jonggeon Park
,
Joan Bruna
,
Hongseok Yang
,
Juho Lee
Compact Memory for Continual Logistic Regression
BibTeX ⧉
NeurIPS 2025
·
Yohan Jung
,
Hyungi Lee
,
Wenlong Chen
,
Thomas Möllenhoff
,
Yingzhen Li
,
Juho Lee
,
Mohammad Emtiyaz Khan
Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
BibTeX ⧉
NeurIPS 2025
·
Dong Bok Lee
,
Aoxuan Silvia Zhang
,
Byungjoo Kim
,
Junhyeon Park
,
Steven Adriaensen
,
Juho Lee
,
Sung Ju Hwang
,
Hae Beom Lee
Dimension Agnostic Neural Processes
BibTeX ⧉
ICLR 2025
·
Hyungi Lee
,
Chaeyun Jang
,
Dongbok Lee
,
Juho Lee
Ensemble Distribution Distillation via Flow Matching
BibTeX ⧉
ICML 2025
·
Jonggeon Park
,
Giung Nam
,
Hyunsu Kim
,
Jongmin Yoon
,
Juho Lee
FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA
BibTeX ⧉
NeurIPS 2025
·
Seanie Lee
,
Sangwoo Park
,
Dong Bok Lee
,
Dominik Wagner
,
Haebin Seong
,
Tobias Bocklet
,
Juho Lee
,
Sung Ju Hwang
HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models
BibTeX ⧉
ICLR 2025
·
Seanie Lee
,
Haebin Seong
,
Dong Bok Lee
,
Minki Kang
,
Xiaoyin Chen
,
Dominik Wagner
,
Yoshua Bengio
,
Juho Lee
,
Sung Ju Hwang
Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning
BibTeX ⧉
ICLR 2025
·
Seanie Lee
,
Minsu Kim
,
Lynn Cherif
,
David Dobre
,
Juho Lee
,
Sung Ju Hwang
,
Kenji Kawaguchi
,
Gauthier Gidel
,
Yoshua Bengio
,
Nikolay Malkin
,
Moksh Jain
PANGEA: Projection-Based Augmentation with Non-Relevant General Data for Enhanced Domain Adaptation in LLMs
BibTeX ⧉
NeurIPS 2025
·
Seungyoo Lee
,
Giung Nam
,
Moonseok Choi
,
Hyungi Lee
,
Juho Lee
Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo
BibTeX ⧉
ICLR 2025
·
Hyunsu Kim
,
Giung Nam
,
Chulhee Yun
,
Hongseok Yang
,
Juho Lee
Reliable Decision‑Making via Calibration‑Oriented Retrieval‑Augmented Generation
BibTeX ⧉
NeurIPS 2025
·
Chaeyun Jang
,
Deukhwan Cho
,
Seanie Lee
,
Hyungi Lee
,
Juho Lee
SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models
BibTeX ⧉
ACL 2025
·
Seanie Lee
,
Dong Bok Lee
,
Dominik Wagner
,
Minki Kang
,
Haebin Seong
,
Tobias Bocklet
,
Juho Lee
,
Sung Ju Hwang
Variational Bayesian Pseudo-Coreset
BibTeX ⧉
ICLR 2025
·
Hyungi Lee
,
Seungyoo Lee
,
Juho Lee
A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models
BibTeX ⧉
ICML 2024
·
Tae Hong Moon
,
Moonseok Choi
,
EungGu Yun
,
Jongmin Yoon
,
Gayoung Lee
,
Jaewoong Cho
,
Juho Lee
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
BibTeX ⧉
ICLR 2024
·
Hyungi Lee
,
Giung Nam
,
Edwin Fong
,
Juho Lee
Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems
BibTeX ⧉
NeurIPS 2024
·
Giung Nam
,
Juho Lee
Fast Ensembling with Diffusion Schrödinger Bridge
BibTeX ⧉
ICLR 2024
·
Hyunsu Kim
,
Jongmin Yoon
,
Juho Lee
Learning Infinitesimal Generators of Continuous Symmetries from Data
BibTeX ⧉
NeurIPS 2024
·
Gyeonghoon Ko
,
Hyunsu Kim
,
Juho Lee
Learning to Explore for Stochastic Gradient MCMC
BibTeX ⧉
ICML 2024
·
Seunghyun Kim
,
Seohyeon Jung
,
Seonghyeon Kim
,
Juho Lee
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance
BibTeX ⧉
ICLR 2024
·
Giung Nam
,
Byeongho Heo
,
Juho Lee
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
BibTeX ⧉
NeurIPS 2024
·
Chaeyun Jang
,
Hyungi Lee
,
Jungtaek Kim
,
Juho Lee
Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion
BibTeX ⧉
ECCV 2024
·
Sanghyun Kim
,
Seohyeon Jung
,
Balhae Kim
,
Moonseok Choi
,
Jinwoo Shin
,
Juho Lee
Self-Supervised Dataset Distillation for Transfer Learning
BibTeX ⧉
ICLR 2024
·
Dong Bok Lee
,
Seanie Lee
,
Joonho Ko
,
Kenji Kawaguchi
,
Juho Lee
,
Sung Ju Hwang
Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
BibTeX ⧉
ICLR 2024
·
Moonseok Choi
,
Hyungi Lee
,
Giung Nam
,
Juho Lee
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
BibTeX ⧉
AAAI 2024
·
Dongjin Lee
,
Juho Lee
,
Kijung Shin
Stochastic Optimal Control for Diffusion Bridges in Function Spaces
BibTeX ⧉
NeurIPS 2024
·
Byoungwoo Park
,
Jungwon Choi
,
Sungbin Lim
,
Juho Lee
Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts
BibTeX ⧉
ICML 2024
·
Hyunsu Kim
,
Yegon Kim
,
Hongseok Yang
,
Juho Lee