SF-Net: Learning Scene Flow from RGB-D Images with CNNs. - Yi-Ling Qiao; Lin Gao 004; Yu-Kun Lai; Fang-Lue Zhang; Mingzhe Yuan; Shihong Xia (BMVC, 2018)

Learning Bidirectional LSTM Networks for Synthesizing 3D Mesh Animation Sequences. - Yi-Ling Qiao; Lin Gao 004; Yu-Kun Lai; Shihong Xia (CoRR, 2018)

Automatic unpaired shape deformation transfer. - Lin Gao 004; Jie Yang 038; Yi-Ling Qiao; Yu-Kun Lai; Paul L. Rosin; Weiwei Xu; Shihong Xia (ACM Trans. Graph., 2018)

LaplacianNet: Learning on 3D Meshes with Laplacian Encoding and Pooling. - Yi-Ling Qiao; Lin Gao 004; Jie Yang 038; Paul L. Rosin; Yu-Kun Lai; Xilin Chen 001 (CoRR, 2019)

Learning-based Real-time Detection of Intrinsic Reflectional Symmetry. - Yi-Ling Qiao; Lin Gao 004; Shu-Zhi Liu; Ligang Liu 001; Yu-Kun Lai; Xilin Chen 001 (CoRR, 2019)

Scalable Differentiable Physics for Learning and Control. - Yi-Ling Qiao; Junbang Liang; Vladlen Koltun; Ming C. Lin (ICML, 2020)

OF-VO: Reliable Navigation among Pedestrians Using Commodity Sensors. - Jing Liang 006; Yi-Ling Qiao; Dinesh Manocha (CoRR, 2020)

Differentiable Fluids with Solid Coupling for Learning and Control. - Tetsuya Takahashi; Junbang Liang; Yi-Ling Qiao; Ming C. Lin (AAAI, 2021)

Efficient Differentiable Simulation of Articulated Bodies. - Yi-Ling Qiao; Junbang Liang; Vladlen Koltun; Ming C. Lin (ICML, 2021)

Differentiable Simulation of Soft Multi-body Systems. - Yi-Ling Qiao; Junbang Liang; Vladlen Koltun; Ming C. Lin (NeurIPS, 2021)

OF-VO: Efficient Navigation Among Pedestrians Using Commodity Sensors. - Jing Liang 006; Yi-Ling Qiao; Tianrui Guan; Dinesh Manocha (IEEE Robotics Autom. Lett., 2021)

Differentiable Analog Quantum Computing for Optimization and Control. - Jiaqi Leng; Yuxiang Peng; Yi-Ling Qiao; Ming C. Lin; Xiaodi Wu 001 (NeurIPS, 2022)

NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos. - Yi-Ling Qiao; Alexander Gao; Ming C. Lin (NeurIPS, 2022)

Differentiable Hybrid Traffic Simulation. - Sanghyun Son 003; Yi-Ling Qiao; Jason Sewall; Ming C. Lin (ACM Trans. Graph., 2022)

Learning on 3D Meshes With Laplacian Encoding and Pooling. - Yi-Ling Qiao; Lin Gao 004; Jie Yang 038; Paul L. Rosin; Yu-Kun Lai; Xilin Chen 001 (IEEE Trans. Vis. Comput. Graph., 2022)

Synthesizing Mesh Deformation Sequences With Bidirectional LSTM. - Yi-Ling Qiao; Yu-Kun Lai; Hongbo Fu 001; Lin Gao 004 (IEEE Trans. Vis. Comput. Graph., 2022)

Dynamic Mesh-Aware Radiance Fields. - Yi-Ling Qiao; Alexander Gao; Yiran Xu; Yue Feng; Jia-Bin Huang 001; Ming C. Lin (ICCV, 2023)

PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. - Xuan Li; Yi-Ling Qiao; Peter Yichen Chen; Krishna Murthy Jatavallabhula; Ming C. Lin; Chenfanfu Jiang; Chuang Gan 001 (ICLR, 2023)

Gradient Informed Proximal Policy Optimization. - Sanghyun Son 003; Laura Yu Zheng; Ryan Sullivan; Yi-Ling Qiao; Ming C. Lin (NeurIPS, 2023)

Towards A Foundation Model for Generalist Robots: Diverse Skill Learning at Scale via Automated Task and Scene Generation. - Zhou Xian; Théophile Gervet; Zhenjia Xu; Yi-Ling Qiao; Tsun-Hsuan Wang (CoRR, 2023)

Learning-Based Intrinsic Reflectional Symmetry Detection. - Yi-Ling Qiao; Lin Gao 004; Shu-Zhi Liu; Ligang Liu 001; Yu-Kun Lai; Xilin Chen 001 (IEEE Trans. Vis. Comput. Graph., 2023)

HandyPriors: Physically Consistent Perception of Hand-Object Interactions with Differentiable Priors. - Shutong Zhang; Yi-Ling Qiao; Guanglei Zhu; Eric Heiden; Dylan Turpin; Jingzhou Liu; Ming C. Lin; Miles Macklin; Animesh Garg (ICRA, 2024)

Differentiable Quantum Computing for Large-scale Linear Control. - Connor Clayton; Jiaqi Leng; Gengzhi Yang; Yi-Ling Qiao; Ming C. Lin; Xiaodi Wu 001 (NeurIPS, 2024)

DMesh++: An Efficient Differentiable Mesh for Complex Shapes. - Sanghyun Son 003; Matheus Gadelha; Yang Zhou 019; Matthew Fisher; Zexiang Xu; Yi-Ling Qiao; Ming C. Lin; Yi Zhou 023 (CoRR, 2024)

Event-Driven Lighting for Immersive Attention Guidance. - Alexander Gao; Xijun Wang 002; Geonsun Lee; Will Chambers; Niall L. Williams; Yi-Ling Qiao; Shengjie Xu; Ming C. Lin (VR Workshops, 2025)