Qiao, Yi-Ling

10 publications

ICCV 2025 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

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

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

NeurIPS 2023 Gradient Informed Proximal Policy Optimization Sanghyun Son, Laura Zheng, Ryan Sullivan, Yi-Ling Qiao, Ming Lin

ICLR 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 Lin, Chenfanfu Jiang, Chuang Gan

NeurIPS 2022 Differentiable Analog Quantum Computing for Optimization and Control Jiaqi Leng, Yuxiang Peng, Yi-Ling Qiao, Ming Lin, Xiaodi Wu

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

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

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

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