Yi-Ling Qiao

According to our database, Yi-Ling Qiao authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

DMesh++: An Efficient Differentiable Mesh for Complex Shapes.

Sanghyun Son, Matheus Gadelha, Yang Zhou, Matthew Fisher, Zexiang Xu, Yi-Ling Qiao, Ming C. Lin, Yi Zhou

CoRR, 2024

Differentiable Quantum Computing for Large-scale Linear Control.

Connor Clayton, Jiaqi Leng, Gengzhi Yang, Yi-Ling Qiao, Ming C. Lin, Xiaodi Wu

CoRR, 2024

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Learning-Based Intrinsic Reflectional Symmetry Detection.

Yi-Ling Qiao, Lin Gao, Shu-Zhi Liu, Ligang Liu, Yu-Kun Lai, Xilin Chen

IEEE Trans. Vis. Comput. Graph., 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

Gradient Informed Proximal Policy Optimization.

Sanghyun Son, Laura Yu Zheng, Ryan Sullivan, Yi-Ling Qiao, Ming C. Lin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Dynamic Mesh-Aware Radiance Fields.

Yi-Ling Qiao, Alexander Gao, Yiran Xu, Yue Feng, Jia-Bin Huang, Ming C. Lin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Synthesizing Mesh Deformation Sequences With Bidirectional LSTM.

Yi-Ling Qiao, Yu-Kun Lai, Hongbo Fu, Lin Gao

IEEE Trans. Vis. Comput. Graph., 2022

Learning on 3D Meshes With Laplacian Encoding and Pooling.

Yi-Ling Qiao, Lin Gao, Jie Yang, Paul L. Rosin, Yu-Kun Lai, Xilin Chen

IEEE Trans. Vis. Comput. Graph., 2022

Differentiable Hybrid Traffic Simulation.

Sanghyun Son, Yi-Ling Qiao, Jason Sewall, Ming C. Lin

ACM Trans. Graph., 2022

NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos.

Yi-Ling Qiao, Alexander Gao, Ming C. Lin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Differentiable Analog Quantum Computing for Optimization and Control.

Jiaqi Leng, Yuxiang Peng, Yi-Ling Qiao, Ming C. Lin, Xiaodi Wu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

OF-VO: Efficient Navigation Among Pedestrians Using Commodity Sensors.

Jing Liang, Yi-Ling Qiao, Tianrui Guan, Dinesh Manocha

IEEE Robotics Autom. Lett., 2021

Differentiable Simulation of Soft Multi-body Systems.

Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient Differentiable Simulation of Articulated Bodies.

Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin

Proceedings of the 38th International Conference on Machine Learning, 2021

Differentiable Fluids with Solid Coupling for Learning and Control.

Tetsuya Takahashi, Junbang Liang, Yi-Ling Qiao, Ming C. Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

OF-VO: Reliable Navigation among Pedestrians Using Commodity Sensors.

Jing Liang, Yi-Ling Qiao, Dinesh Manocha

CoRR, 2020

Scalable Differentiable Physics for Learning and Control.

Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Learning-based Real-time Detection of Intrinsic Reflectional Symmetry.

Yi-Ling Qiao, Lin Gao, Shu-Zhi Liu, Ligang Liu, Yu-Kun Lai, Xilin Chen

CoRR, 2019

LaplacianNet: Learning on 3D Meshes with Laplacian Encoding and Pooling.

Yi-Ling Qiao, Lin Gao, Jie Yang, Paul L. Rosin, Yu-Kun Lai, Xilin Chen

CoRR, 2019

2018

Automatic unpaired shape deformation transfer.

Lin Gao, Jie Yang, Yi-Ling Qiao, Yu-Kun Lai, Paul L. Rosin, Weiwei Xu, Shihong Xia

ACM Trans. Graph., 2018

Learning Bidirectional LSTM Networks for Synthesizing 3D Mesh Animation Sequences.

Yi-Ling Qiao, Lin Gao, Yu-Kun Lai, Shihong Xia

CoRR, 2018

SF-Net: Learning Scene Flow from RGB-D Images with CNNs.

Yi-Ling Qiao, Lin Gao, Yu-Kun Lai, Fang-Lue Zhang, Mingzhe Yuan, Shihong Xia

Proceedings of the British Machine Vision Conference 2018, 2018