Yi-Ling Qiao

36 papers A* 11A 1Journal 23Unranked 1
YearRankTypeTitle / Venue / Authors
2025 — conf
Event-Driven Lighting for Immersive Attention Guidance.
VR Workshops
Alexander Gao, Xijun Wang, Geonsun Lee, Will Chambers, Niall L. Williams, Yi-Ling Qiao, Shengjie Xu, Ming C. Lin
2024 J jnl
DMesh++: An Efficient Differentiable Mesh for Complex Shapes.
CoRR
Sanghyun Son, Matheus Gadelha, Yang Zhou, Matthew Fisher, Zexiang Xu, Yi-Ling Qiao, Ming C. Lin, Yi Zhou
2024 A* conf
Differentiable Quantum Computing for Large-scale Linear Control.
NeurIPS
Connor Clayton, Jiaqi Leng, Gengzhi Yang, Yi-Ling Qiao, Ming C. Lin, Xiaodi Wu
2024 J jnl
Differentiable Quantum Computing for Large-scale Linear Control.
CoRR
Connor Clayton, Jiaqi Leng, Gengzhi Yang, Yi-Ling Qiao, Ming C. Lin, Xiaodi Wu
2024 A* conf
HandyPriors: Physically Consistent Perception of Hand-Object Interactions with Differentiable Priors.
ICRA
Shutong Zhang, Yi-Ling Qiao, Guanglei Zhu, Eric Heiden, Dylan Turpin, Jingzhou Liu, Ming C. Lin, Miles Macklin, Animesh Garg
2023 A* conf
Dynamic Mesh-Aware Radiance Fields.
ICCV
Yi-Ling Qiao, Alexander Gao, Yiran Xu, Yue Feng, Jia-Bin Huang, Ming C. Lin
2023 J jnl
Dynamic Mesh-Aware Radiance Fields.
CoRR
Yi-Ling Qiao, Alexander Gao, Yiran Xu, Yue Feng, Jia-Bin Huang, Ming C. Lin
2023 A* conf
Gradient Informed Proximal Policy Optimization.
NeurIPS
Sanghyun Son, Laura Yu Zheng, Ryan Sullivan, Yi-Ling Qiao, Ming C. Lin
2023 J jnl
Gradient Informed Proximal Policy Optimization.
CoRR
Sanghyun Son, Laura Yu Zheng, Ryan Sullivan, Yi-Ling Qiao, Ming C. Lin
2023 J jnl
HandyPriors: Physically Consistent Perception of Hand-Object Interactions with Differentiable Priors.
CoRR
Shutong Zhang, Yi-Ling Qiao, Guanglei Zhu, Eric Heiden, Dylan Turpin, Jingzhou Liu, Ming C. Lin, Miles Macklin, Animesh Garg
2023 J jnl
Learning-Based Intrinsic Reflectional Symmetry Detection.
IEEE Trans. Vis. Comput. Graph.
Yi-Ling Qiao, Lin Gao, Shu-Zhi Liu, Ligang Liu, Yu-Kun Lai, Xilin Chen
2023 A* conf
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification.
ICLR
Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming Lin, Chenfanfu Jiang, Chuang Gan
2023 J jnl
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification.
CoRR
Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming Lin, Chenfanfu Jiang, Chuang Gan
2023 J jnl
Towards A Foundation Model for Generalist Robots: Diverse Skill Learning at Scale via Automated Task and Scene Generation.
CoRR
Zhou Xian, Théophile Gervet, Zhenjia Xu, Yi-Ling Qiao, Tsun-Hsuan Wang
2022 A* conf
Differentiable Analog Quantum Computing for Optimization and Control.
NeurIPS
Jiaqi Leng, Yuxiang Peng, Yi-Ling Qiao, Ming C. Lin, Xiaodi Wu
2022 J jnl
Differentiable Analog Quantum Computing for Optimization and Control.
CoRR
Jiaqi Leng, Yuxiang Peng, Yi-Ling Qiao, Ming C. Lin, Xiaodi Wu
2022 J jnl
Differentiable Hybrid Traffic Simulation.
CoRR
Sanghyun Son, Yi-Ling Qiao, Jason Sewall, Ming C. Lin
2022 J jnl
Differentiable Hybrid Traffic Simulation.
ACM Trans. Graph.
Sanghyun Son, Yi-Ling Qiao, Jason Sewall, Ming C. Lin
2022 J jnl
Differentiable Simulation of Soft Multi-body Systems.
CoRR
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin
2022 J jnl
Learning on 3D Meshes With Laplacian Encoding and Pooling.
IEEE Trans. Vis. Comput. Graph.
Yi-Ling Qiao, Lin Gao, Jie Yang, Paul L. Rosin, Yu-Kun Lai, Xilin Chen
2022 A* conf
NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos.
NeurIPS
Yi-Ling Qiao, Alexander Gao, Ming C. Lin
2022 J jnl
NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos.
CoRR
Yi-Ling Qiao, Alexander Gao, Ming C. Lin
2022 J jnl
Synthesizing Mesh Deformation Sequences With Bidirectional LSTM.
IEEE Trans. Vis. Comput. Graph.
Yi-Ling Qiao, Yu-Kun Lai, Hongbo Fu, Lin Gao
2021 A* conf
Differentiable Fluids with Solid Coupling for Learning and Control.
AAAI
Tetsuya Takahashi, Junbang Liang, Yi-Ling Qiao, Ming C. Lin
2021 A* conf
Differentiable Simulation of Soft Multi-body Systems.
NeurIPS
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin
2021 A* conf
Efficient Differentiable Simulation of Articulated Bodies.
ICML
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin
2021 J jnl
Efficient Differentiable Simulation of Articulated Bodies.
CoRR
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin
2021 J jnl
OF-VO: Efficient Navigation Among Pedestrians Using Commodity Sensors.
IEEE Robotics Autom. Lett.
Jing Liang, Yi-Ling Qiao, Tianrui Guan, Dinesh Manocha
2020 J jnl
OF-VO: Reliable Navigation among Pedestrians Using Commodity Sensors.
CoRR
Jing Liang, Yi-Ling Qiao, Dinesh Manocha
2020 A* conf
Scalable Differentiable Physics for Learning and Control.
ICML
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin
2020 J jnl
Scalable Differentiable Physics for Learning and Control.
CoRR
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin
2019 J jnl
LaplacianNet: Learning on 3D Meshes with Laplacian Encoding and Pooling.
CoRR
Yi-Ling Qiao, Lin Gao, Jie Yang, Paul L. Rosin, Yu-Kun Lai, Xilin Chen
2019 J jnl
Learning-based Real-time Detection of Intrinsic Reflectional Symmetry.
CoRR
Yi-Ling Qiao, Lin Gao, Shu-Zhi Liu, Ligang Liu, Yu-Kun Lai, Xilin Chen
2018 J jnl
Automatic unpaired shape deformation transfer.
ACM Trans. Graph.
Lin Gao, Jie Yang, Yi-Ling Qiao, Yu-Kun Lai, Paul L. Rosin, Weiwei Xu, Shihong Xia
2018 J jnl
Learning Bidirectional LSTM Networks for Synthesizing 3D Mesh Animation Sequences.
CoRR
Yi-Ling Qiao, Lin Gao, Yu-Kun Lai, Shihong Xia
2018 A conf
SF-Net: Learning Scene Flow from RGB-D Images with CNNs.
BMVC
Yi-Ling Qiao, Lin Gao, Yu-Kun Lai, Fang-Lue Zhang, Mingzhe Yuan, Shihong Xia