Rectifying Mask via Entropy for Distractor-Free 3DGS in Ambiguous Scenarios
Wongi Park,  Jiyeon Lim,  Minjae Lee,  Myeongseok Nam,  Seongjun Choi,  Jungwoo Kim,  Soomok Lee*,  William J. Beksi*,  Sang-Hyun Lee*
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2027

Domain Adaptation with Adaptive Imagination for Visual Reinforcement Learning under Limited Target Data
Hyunwoo Park, Sang-Hyun Lee
European Conference on Computer Vision(ECCV), 2026

Chain-of-Goals Hierarchical Policy for Long-Horizon Offline Goal-Conditioned RL
Jinwoo Choi, Sang-Hyun Lee*, Seung-Woo Seo*
International Conference on Machine Learning (ICML), 2026

Self-Improving Autonomous Vehicles via Real-World Reinforcement Learning
Daehyeok Kwon, Seung-Woo Seo, Sang-Hyun Lee
International Joint Conference on Artificial Intelligence (IJCAI), 2026

Deformable Point Attention for LiDAR  Place Recognition with Weighted GeM Aggregation
Minseo Park, Jungwoo Kim, Jaejin Jeon, Dohyeong Kwon, Sang-Hyun Lee*, Soomok Lee*
IEEE Robotics and Automation Letters (RA-L), 2026

Sparse Voxel Meets View: Bridging Local Geometry and Global Semantics via Linear Attention in Place Recognition
Minseo Park, Dohyeong Kwon, Jaejin Jeon, Sang-Hyun Lee*, Soomok Lee*
IEEE Access, 2026

Robust and Scalable Autonomous Reinforcement Learning in Irreversible Environments
Sang-Hyun Lee
Advances in Neural Information Processing Systems (NeurIPS), 2025

Safe and Efficient  Trajectory Optimization for Autonomous Vehicles using B-spline with Incremental Path Flattening
Jongseo Choi, Hyuntai Chin, Hyunwoo Park, Daehyeok Kwon, Doosan Baek, Sang-Hyun Lee
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2025

Imagination-Augmented Hierarchical Reinforcement Learning for Safe and Interactive Autonomous Driving in Urban Environments
Sang-Hyun Lee, Yoonjae Jung,  Seung-Woo Seo
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2024

Hierarchical Approaches to Efficient and Safe Robot Learning
Sang-Hyun Lee
Ph. D. thesis, Seoul National University (SNU), 2024

Self-Supervised Curriculum Generation for Autonomous Reinforcement Learning without Task-Specific Knowledge
Sang-Hyun Lee, Seung-Woo Seo
IEEE Robotics and Automation Letters (RA-L), 2024

Occlusion-Aware Risk Assessment and Driving Strategy for Autonomous Vehicles Using Simplified Reachability Quantification
Hyunwoo Park, Jongseo Choi, Hyuntai Chin, Sang-Hyun Lee, Doosan Baek
IEEE Robotics and Automation Letters (RA-L), 2024

3D Directional Encoding for Point Cloud Analysis
Yoonjae Jung, Sang-Hyun Lee, Seung-Woo Seo
IEEE Access, 2024

Unsupervised Skill Discovery for Learning Shared Structures across Changing Environments
Sang-Hyun Lee, Seung-Woo Seo
International Conference on Machine Learning (ICML), 2023

Learning Compound Tasks without Task-Specific Knowledge via Imitation and Self-Supervised Learning
Sang-Hyun Lee, Seung-Woo Seo
International Conference on Machine Learning (ICML), 2020

Exploration Strategy based on Validity of Actions in Deep Reinforcement Learning
Sang-Hyun Lee*, Hyung-Suk Yoon*, Seung-Woo Seo
IEEE International Conference on Intelligent Robots and Systems (IROS), 2020

A Learning-based Framework for Handling Dilemmas in Urban Automated Driving
Sang-Hyun Lee, Seung-Woo Seo
IEEE International Conference on Robotics and Automation (ICRA), 2017

Autonomous Campus Mobility Services Using Driverless Taxi
Seong-Woo Kim, Gi-Poong Gwon, Woo-Sol Hur, Daejin Hyeon, Dae-Young Kim, Sung-Hyun Kim, Dong-Kyoung Kye, Sang-Hyun Lee, Soomok Lee, Myung-Ok Shin, Seung-Woo Seo
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2017