Jiye Lee*, Yonghun Choi and Jungdam Won**, MOCHI: Motion Enhancement of Collaborative Human-object Interactions, SIGGRAPH 2026.

Chanha Kim*, Jungdam Won**, AMOR: Airborne Motion Reconstruction via Homotopy-Aware Trajectory Optimization, SIGGRAPH 2026.

Sunmin Lee*, Davis Rempe, Yifeng Jiang, Haotian Zhang, Tingwu Wang, Jungdam Won**, Xue Bin Peng**, DMP: Directable Motion Retargeting through Motion Paraphrasing, ACM Transactions on Graphics (to appear).

Geonho Leem*, Jaedong Lee, Jehee Lee, Seungmoon Song, Jungdam Won**, Exo-Plore: Exploring Exoskeleton Control Space through Human-aligned Simulation, International Conference on Learning Representations (ICLR) 2026.

Minseok Kim*, Wonjeong Seo, Sunghee Lee, Jungdam Won**, ViSA: Physics-based Virtual Stunt Actors for Ballistic Stunts, SIGGRAPH 2025.

Jungnam Park*, Euikyun Jung, Jehee Lee, Jungdam Won**, MAGNET: Muscle Activation Generation Networks for Diverse Human Movement, SIGGRAPH 2025.

Jinseok Bae*, Jungdam Won, Donggeun Lim, Inwoo Hwang, and Young Min Kim**, Versatile Physics-based Character Control with Hybrid Latent Representation, Eurographics 2025.

Jiashun Wang*, Jessica Hodgins, Jungdam Won**, Strategy and Skill Learning for Physics-based Table Tennis Animation, SIGGRAPH 2024.

Yijun Qian*, Jack Urbanek, Alexander Hauptmann, Jungdam Won**, Text Motion Translator: A Bi-Directional Model for Enhanced 3D Human Motion Generation from Open-Vocabulary Descriptions, ECCV 2024.

Sunmin Lee*, Taeho Kang, Jungnam Park, Jehee Lee, Jungdam Won**, SAME: Skeleton-Agnostic Motion Embedding, SIGGRAPH Asia 2023.

Tianyu Li*, Jungdam Won, Alexander Clegg, Jeonghwan Kim, Akshara Rai, Sehoon Ha**, ACE: Adversarial Correspondence Embedding for Cross Morphology Motion Retargeting from Human to Nonhuman Characters, SIGGRAPH Asia 2023.

Yifeng Jiang*, Jungdam Won, Yuting Ye, C. Karen Liu**, DROP: Dynamics Responses from Human Motion Prior and Projective Dynamics, SIGGRAPH Asia 2023.

Deok-Kyeong Jang*, Yuting Ye, Jungdam Won, Sung-Hee Lee**, MOCHA: Real-Time Motion Characterization via Context Matching, SIGGRAPH Asia 2023.

Mingyi Shi*, Sebastian Starke, Yuting Ye, Taku Komura, Jungdam Won**, PhaseMP: Robust 3D Pose Estimation via Phase-conditioned Human Motion Prior, ICCV 2023.

Yijun Qian*, Jack Urbanek, Alexander G. Hauptmann, Jungdam Won**, Breaking The Limits of Text-conditioned 3D Motion Synthesis with Elaborative Descriptions, ICCV 2023.

Jungnam Park*, Moon Seok Park, Jehee Lee, Jungdam Won**, Bidirectional GaitNet: A Bidirectional Prediction Model of Human Gait and Anatomical Conditions, SIGGRAPH 2023.

Sunmin Lee*, Sebastian Starke, Yuting Ye, Jungdam Won**, Alexander Winkler**, QuestEnvSim: Environment-aware Simulated Motion Tracking From Sparse Sensor Input, SIGGRAPH 2023.

Jinseok Bae*, Jungdam Won, Donggeun Lim, Cheol-Hui Min and Young Min Kim**, PMP: Learning to Physically Interact with Environments using Multiple Part-wise Motion Priors, SIGGRAPH 2023.

Yunbo Zhang*, Deepak Gopinath, Yuting Ye, Jessica Hodgins, Greg Turk, and Jungdam Won**, Simulation and Retargeting of Complex Multi-Character Interactions, SIGGRAPH 2023.

Daniele Reda*, Jungdam Won, Yuting Ye, Michiel van de Panne**, Alexander Winkler**, Physics-based Motion Retargeting from Sparse Inputs, SCA 2023.

Tianyu Li*, Jungdam Won, Jeongwoo Cho, Sehoon Ha, Akshara Rai**, Fastmimic: Model-based motion imitation for agile, diverse and generalizable quadrupedal locomotion, Robotics 2023.

Jonas Gehring*, Deepak Gopinath, Jungdam Won, Andreas Krause, Gabriel Synnaeve, Nicolas Usunier**, Leveraging Demonstrations with Latent Space Priors, TMLR 2023.

Jungdam Won*, Deepak Gopinath, and Jessica Hodgins**, Physics-based Character Controllers Using Conditional VAEs, ACM Transactions on Graphics (SIGGRAPH 2022).

Jungnam Park*, Sehee Min, Phil Sik Chang, Jaedong Lee, Moon Seok Park, and Jehee Lee**, Generative GaitNet, SIGGRAPH 2022.

Alexander W. Winkler*, Jungdam Won, Yuting Ye**, QuestSim: Human Motion Tracking from Sparse Sensors with Simulated Avatars, SIGGRAPH Asia 2022.

Yifeng Jiang*, Yuting Ye, Deepak Gopinath, Jungdam Won, Alexander W. Winkler, C. Karen Liu**, Transformer Inertial Poser: Real-time Human Motion Reconstruction from Sparse IMUs with Simultaneous Terrain Generation, SIGGRAPH Asia 2022.

Jihoon Kim*, Taehyun Byun, Seungyoun Shin, Jungdam Won, Sungjoon Choi**, Conditional Motion In-betweening, Pattern Recognition, 2022.

Jungdam Won*, Deepak Gopinath, and Jessica Hodgins**, Control Strategies for Physically Simulated Characters Performing Two-player Competitive Sports, ACM Transactions on Graphics (SIGGRAPH 2021).

Hoseok Ryu*, Minseok Kim, Seungwhan Lee, Moon Seok Park, Kyoungmin Lee and Jehee Lee**, Functionality-Driven Musculature Retargeting, Computer Graphics Forum, Volume 40 (2021), Number 1: 341-356. 

Seyoung Lee*, Sunmin Lee, Yongwoo Lee and Jehee Lee**, Learning a family of motor skills from a single motion clip, ACM Transactions on Graphics (SIGGRAPH 2021), Volume 40, Article 93.

Kyungho Lee*, Sehee Min, Sunmin Lee, and Jehee Lee**, Learning Time-critical Responses for Interactive Character Control, ACM Transactions on Graphics (SIGGRAPH 2021), Volume 40, Article 147.

Sehee Min* and Jehee Lee**, Why you walk like that: Inferring Body Conditions from Single Gait Cycle, ACM SIGGRAPH 2021 Posters, Article No. 43, Pages 1–2.

Jungdam Won*, Deepak Gopinath, and Jessica Hodgins**, A Scalable Approach to Control Diverse Behaviors for Physically Simulated Characters, ACM Transactions on Graphics (SIGGRAPH 2020).

Sehee Min*, Jungdam Won, Seunghwan Lee, Jungnam Park, and Jehee Lee**, SoftCon: Simulation and Control of Soft-Bodied Animals with Biomimetic Actuators, ACM Transactions on Graphics (SIGGRAPH ASIA 2019), Volume 38, Article 208. 

Soohwan Park*, Hoseok Ryu, Seyoung Lee, Sunmin Lee, and Jehee Lee**, Learning predict-and-simulate policies from unorganized human motion data, ACM Transactions on Graphics (SIGGRAPH ASIA 2019), Volume 38, Article 205. 

Jungdam Won* and Jehee Lee**, Learning Body Shape Variation in Physics-based Characters, ACM Transactions on Graphics (SIGGRAPH ASIA 2019), Volume 38, Article 207. 

Jungdam Won*, Jungnam Park, and Jehee Lee**, Aerobatics Control of Flying Creatures via Self-Regulated Learning, ACM Transactions on Graphics (SIGGRAPH Asia 2018), Volume 37, Issue 6, Dec 2018. 

Jaedong Lee*, Jungdam Won, and Jehee Lee**, Crowd Simulation by Deep Reinforcement Learning, ACM Siggraph Conference on Motion, Interaction and Games 2018. 

Jaedong Lee* and Jehee Lee**, Learning to Move in Crowd, In Proceedings of SIGGRAPH '18 Posters, Vancouver, BC, Canada, August 12-16, 2018

Sehee Min*, Jaedong Lee, Jungdam Won, and Jehee Lee**, Soft Shadow Art, CAE '17 Proceedings of the symposium on Computational Aesthetics, Article No. 3

Jungdam Won*, Jongho Park, Kwanyu Kim, and Jehee Lee**, How to Train Your Dragon: Example-Guided Control of Flapping Flight, ACM Transactions on Graphics (SIGGRAPH Asia 2017), Volume 36, Issue 4, Dec 2017.

Jungdam Won* and Jehee Lee**, Discovering human postures from non-human silhouette, SCA '15 Proceedings of the 14th ACM SIGGRAPH / Eurographics Symposium on Computer Animation: page 195. 

Jungdam Won* and Jehee Lee**, Shadow Theatre: Discovering Human Motion from a Sequence of Silhouettes, ACM Transactions on Graphics (SIGGRAPH 2016), Volume 35 Issue 4, July 2016, Article No. 147. 

Eunjung Ju*, Jungdam Won, Byungkuk Choi, Junyong Noh, Min Gyu Choi, Jehee Lee**, Data-driven Control of Flapping Flight, ACM Transactions on Graphics, Volume 32 Issue 5, September 2013.

Jungdam Won*, Kyungho Lee, Jessica K. Hodgins, Carol O'Sullivan and Jehee Lee**, Generating and Ranking Diverse Multi-Character Interactions, ACM Transactions on Graphics (SIGGRAPH ASIA 2014), Volume 33, Issue 6, November 2014.