Spherical hashing. - Jae-Pil Heo; Youngwoon Lee; Junfeng He; Shih-Fu Chang; Sung-Eui Yoon (CVPR, 2012)

Stereotype-based semantic expansion for image retrieval. - Jungin Lee; OSung Kwon; Youngwoon Lee; Sung-Eui Yoon (ICME Workshops, 2013)

Quadra-embedding: Binary code embedding with low quantization error. - Youngwoon Lee; Jae-Pil Heo; Sung-Eui Yoon (Comput. Vis. Image Underst., 2014)

Kids in Fairytales: Experiential and Interactive Storytelling in Children's Libraries. - Seokbin Kang; Youngwoon Lee; Suwoong Lee (CHI Extended Abstracts, 2015)

Spherical Hashing: Binary Code Embedding with Hyperspheres. - Jae-Pil Heo; Youngwoon Lee; Junfeng He; Shih-Fu Chang; Sung-Eui Yoon (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

To Follow or not to Follow: Selective Imitation Learning from Observations. - Youngwoon Lee; Edward S. Hu; Zhengyu Yang 003; Joseph J. Lim (CoRL, 2019)

Composing Complex Skills by Learning Transition Policies. - Youngwoon Lee; Shao-Hua Sun; Sriram Somasundaram; Edward S. Hu; Joseph J. Lim (ICLR (Poster), 2019)

IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks. - Youngwoon Lee; Edward S. Hu; Zhengyu Yang 003; Alex Yin; Joseph J. Lim (CoRR, 2019)

Accelerating Reinforcement Learning with Learned Skill Priors. - Karl Pertsch; Youngwoon Lee; Joseph J. Lim (CoRL, 2020)

Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments. - Jun Yamada; Youngwoon Lee; Gautam Salhotra; Karl Pertsch; Max Pflueger; Gaurav S. Sukhatme; Joseph J. Lim; Peter Englert (CoRL, 2020)

Learning to Coordinate Manipulation Skills via Skill Behavior Diversification. - Youngwoon Lee; Jingyun Yang; Joseph J. Lim (ICLR, 2020)

Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization. - Youngwoon Lee; Joseph J. Lim; Anima Anandkumar; Yuke Zhu (CoRL, 2021)

Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation. - I-Chun Arthur Liu; Shagun Uppal; Gaurav S. Sukhatme; Joseph J. Lim; Peter Englert; Youngwoon Lee (CoRL, 2021)

Demonstration-Guided Reinforcement Learning with Learned Skills. - Karl Pertsch; Youngwoon Lee; Yue Wu; Joseph J. Lim (CoRL, 2021)

IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks. - Youngwoon Lee; Edward S. Hu; Joseph J. Lim (ICRA, 2021)

Generalizable Imitation Learning from Observation via Inferring Goal Proximity. - Youngwoon Lee; Andrew Szot; Shao-Hua Sun; Joseph J. Lim (NeurIPS, 2021)

Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding. - Grace Zhang; Linghan Zhong; Youngwoon Lee; Joseph J. Lim (Robotics: Science and Systems, 2021)

Skill-based Model-based Reinforcement Learning. - Lucy Xiaoyang Shi; Joseph J. Lim; Youngwoon Lee (CoRL, 2022)

Language-Conditioned Path Planning. - Amber Xie; Youngwoon Lee; Pieter Abbeel; Stephen James (CoRL, 2023)

Controllability-Aware Unsupervised Skill Discovery. - Seohong Park; Kimin Lee; Youngwoon Lee; Pieter Abbeel (ICML, 2023)

Video Prediction Models as Rewards for Reinforcement Learning. - Alejandro Escontrela; Ademi Adeniji; Wilson Yan; Ajay Jain; Xue Bin Peng; Ken Goldberg; Youngwoon Lee; Danijar Hafner; Pieter Abbeel (NeurIPS, 2023)

PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection. - Shivin Dass; Karl Pertsch; Hejia Zhang; Youngwoon Lee; Joseph J. Lim; Stefanos Nikolaidis (Robotics: Science and Systems, 2023)

FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation. - Minho Heo; Youngwoon Lee; Doohyun Lee; Joseph J. Lim (Robotics: Science and Systems, 2023)

TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations. - Junik Bae; Kwanyoung Park; Youngwoon Lee (CoRL, 2024)

DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing. - Vint Lee; Pieter Abbeel; Youngwoon Lee (ICLR, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning. - Carmelo Sferrazza; Younggyo Seo; Hao Liu 055; Youngwoon Lee; Pieter Abbeel (IROS, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (Robotics: Science and Systems, 2024)

HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation. - Carmelo Sferrazza; Dun-Ming Huang; Xingyu Lin; Youngwoon Lee; Pieter Abbeel (Robotics: Science and Systems, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (CoRR, 2024)

Tackling Long-Horizon Tasks with Model-based Offline Reinforcement Learning. - Kwanyoung Park; Youngwoon Lee (CoRR, 2024)

Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning. - Kwanyoung Park; Youngwoon Lee (ICLR, 2025)

UniSkill: Imitating Human Videos via Cross-Embodiment Skill Representations. - Hanjung Kim; Jaehyun Kang; Hyolim Kang; Meedeum Cho; Seon Joo Kim; Youngwoon Lee (CoRR, 2025)

RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies. - Pranav Atreya; Karl Pertsch; Tony Lee; Moo Jin Kim; Arhan Jain; Artur Kuramshin; Clemens Eppner; Cyrus Neary; Edward S. Hu; Fabio Ramos 001; Jonathan Tremblay; Kanav Arora; et al. (CoRR, 2025)