A Vulnerability Scanning Script Management System. - Cheolho Lee; Kyunghee Choi; Seungkyu Park; Gihyun Jung; Cheolwon Lee; Namhoon Lee (International Conference on Internet Computing, 2002)

The Development of Risk Analysis Methodology for Information Asset on Network. - Yoon-Jung Jung; In-Jung Kim; Namhoon Lee; JoongGil Park (Security and Management, 2004)

The Design and Development for Risk Analysis Automatic Tool. - Young-Hwan Bang; Yoon-Jung Jung; In-Jung Kim; Namhoon Lee; Gang-Soo Lee (ICCSA (1), 2004)

Security Risk Vector for Quantitative Asset Assessment. - Yoon Jung Chung; InJung Kim 003; Namhoon Lee; Taek Lee; Hoh Peter In (ICCSA (2), 2005)

The Improved Risk Analysis Mechanism in the Practical Risk Analysis System. - SangCheol Hwang; Namhoon Lee; Kouichi Sakurai; Joong Gil Park; Jaecheol Ryou 001 (ICOIN, 2005)

Predicting wide receiver trajectories in American football. - Namhoon Lee; Kris M. Kitani (WACV, 2016)

Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator. - Namhoon Lee; Xinshuo Weng; Vishnu Naresh Boddeti; Yu Zhang; Fares Beainy; Kris M. Kitani; Takeo Kanade (CoRR, 2016)

A Game-Theoretic Approach to Multi-Pedestrian Activity Forecasting. - Wei-Chiu Ma; De-An Huang; Namhoon Lee; Kris M. Kitani (CoRR, 2016)

DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents. - Namhoon Lee; Wongun Choi; Paul Vernaza; Christopher B. Choy; Philip H. S. Torr; Manmohan Chandraker (CVPR, 2017)

Forecasting Interactive Dynamics of Pedestrians with Fictitious Play. - Wei-Chiu Ma; De-An Huang; Namhoon Lee; Kris M. Kitani (CVPR, 2017)

The Sixth Visual Object Tracking VOT2018 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin Zajc; Tomás Vojír; Goutam Bhat; Alan Lukezic; Abdelrahman Eldesokey; Gustavo Fernández; Álvaro García-Martín; et al. (ECCV Workshops (1), 2018)

Learn to Pay Attention. - Saumya Jetley; Nicholas A. Lord; Namhoon Lee; Philip H. S. Torr (ICLR (Poster), 2018)

Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance - Can We Learn Pedestrian Detectors and Pose Estimators Without Real Data? - Hironori Hattori; Namhoon Lee; Vishnu Naresh Boddeti; Fares Beainy; Kris M. Kitani; Takeo Kanade (Int. J. Comput. Vis., 2018)

Snip: single-Shot Network Pruning based on Connection sensitivity. - Namhoon Lee; Thalaiyasingam Ajanthan; Philip H. S. Torr (ICLR (Poster), 2019)

A Signal Propagation Perspective for Pruning Neural Networks at Initialization. - Namhoon Lee; Thalaiyasingam Ajanthan; Stephen Gould; Philip H. S. Torr (ICLR, 2020)

Data Parallelism in Training Sparse Neural Networks. - Namhoon Lee; Philip H. S. Torr; Martin Jaggi (CoRR, 2020)

Toward efficient deep learning with sparse neural networks. - Namhoon Lee (2020)

Understanding the effects of data parallelism and sparsity on neural network training. - Namhoon Lee; Thalaiyasingam Ajanthan; Philip H. S. Torr; Martin Jaggi (ICLR, 2021)

Meta-Learning Sparse Implicit Neural Representations. - Jaeho Lee 001; Jihoon Tack; Namhoon Lee; Jinwoo Shin (NeurIPS, 2021)

Almost Sure Last Iterate Convergence of Sharpness-Aware Minimization. - Kyunghun Nam; Jinseok Chung; Namhoon Lee (Tiny Papers @ ICLR, 2023)

A Closer Look at the Intervention Procedure of Concept Bottleneck Models. - Sungbin Shin; Yohan Jo; Sungsoo Ahn; Namhoon Lee (ICML, 2023)

SpReME: Sparse Regression for Multi-Environment Dynamic Systems. - Moon Jeong Park; Youngbin Choi; Namhoon Lee; Dongwoo Kim 002 (CoRR, 2023)

MaskedKD: Efficient Distillation of Vision Transformers with Masked Images. - Seungwoo Son 005; Namhoon Lee; Jaeho Lee 001 (CoRR, 2023)

FedFwd: Federated Learning without Backpropagation. - Seonghwan Park; Dahun Shin; Jinseok Chung; Namhoon Lee (CoRR, 2023)

The Effects of Overparameterization on Sharpness-aware Minimization: An Empirical and Theoretical Analysis. - Sungbin Shin; Dongyeop Lee; Maksym Andriushchenko; Namhoon Lee (CoRR, 2023)

Jaxpruner: A Concise Library for Sparsity Research. - Joo Hyung Lee; Wonpyo Park; Nicole Mitchell; Jonathan Pilault; Johan Samir Obando Ceron; Han-Byul Kim; Namhoon Lee; Elias Frantar; Yun Long; Amir Yazdanbakhsh; Woohyun Han; Shivani Agrawal; et al. (CPAL, 2024)

The Role of Masking for Efficient Supervised Knowledge Distillation of Vision Transformers. - Seungwoo Son 005; Jegwang Ryu; Namhoon Lee; Jaeho Lee 001 (ECCV (67), 2024)

Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization. - Sungbin Shin; Wonpyo Park; Jaeho Lee 001; Namhoon Lee (EMNLP, 2024)

ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models. - Seonghwan Park; Jaehyeon Jeong; Yongjun Kim; Jaeho Lee 001; Namhoon Lee (ICLR, 2025)

Critical Influence of Overparameterization on Sharpness-aware Minimization. - Sungbin Shin; Dongyeop Lee; Maksym Andriushchenko; Namhoon Lee (UAI, 2025)

SASSHA: Sharpness-aware Adaptive Second-order Optimization with Stable Hessian Approximation. - Dahun Shin; Dongyeop Lee; Jinseok Chung; Namhoon Lee (CoRR, 2025)

An Analysis of Concept Bottleneck Models: Measuring, Understanding, and Mitigating the Impact of Noisy Annotations. - Seonghwan Park; Jueun Mun; Donghyun Oh; Namhoon Lee (CoRR, 2025)

SAFE: Finding Sparse and Flat Minima to Improve Pruning. - Dongyeop Lee; Kwanhee Lee; Jinseok Chung; Namhoon Lee (CoRR, 2025)