PPaperPicks

Juho Lee

KAIST, Daejeon, South Korea

29 papers at tracked venues · 28 at CORE A* · active 2024–2025

Venues

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

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