| Sampling-based contact-rich motion control L Liu, KK Yin, M van de Panne, T Shao, W Xu ACM SIGGRAPH 2010 papers, 1-10, 2010 | 132 | 2010 |
| Learning to schedule control fragments for physics-based characters using deep q-learning L Liu, J Hodgins ACM Transactions on Graphics (TOG) 36 (3), 1-14, 2017 | 84 | 2017 |
| Guided learning of control graphs for physics-based characters L Liu, M van de Panne, KK Yin ACM Transactions on Graphics (TOG) 35 (3), 29, 2016 | 83 | 2016 |
| Terrain runner: control, parameterization, composition, and planning for highly dynamic motions. L Liu, KK Yin, M van de Panne, B Guo ACM Trans. Graph. 31 (6), 154:1-154:10, 2012 | 74 | 2012 |
| Simulation and control of skeleton-driven soft body characters L Liu, KK Yin, B Wang, B Guo ACM Transactions on Graphics (TOG) 32 (6), 1-8, 2013 | 70 | 2013 |
| Deformation capture and modeling of soft objects. B Wang, L Wu, KK Yin, UM Ascher, L Liu, H Huang ACM Trans. Graph. 34 (4), 94:1-94:12, 2015 | 57 | 2015 |
| Learning basketball dribbling skills using trajectory optimization and deep reinforcement learning L Liu, J Hodgins ACM Transactions on Graphics (TOG) 37 (4), 1-14, 2018 | 51 | 2018 |
| Learning reduced-order feedback policies for motion skills K Ding, L Liu, M van de Panne, KK Yin SCA '15 Proceedings of the 14th ACM SIGGRAPH / Eurographics Symposium on …, 2015 | 26 | 2015 |
| Improving Sampling-based Motion Control L Liu, KK Yin, B Guo Computer Graphics Forum 34 (2), 415--423, 2015 | 25 | 2015 |
| Learning to schedule control fragments for physics-based character simulation and robots using deep q-learning L Liu, JK Hodgins US Patent App. 15/277,872, 2018 | 2 | 2018 |
| Simulation for Control KK Yin, L Liu, M van de Panne Humanoid Robotics: A Reference, 1--44, 2017 | | 2017 |
KangKang YinSimon Fraser UniversityVerified email at sfu.ca
