Publications

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

PDF Cite Code Dataset Project Video

Jiaqi Leng1, Yuxiang Peng1, Yi-Ling Qiao1, Ming C. Lin, Xiaodi Wu (2022). Differentiable Analog Quantum Computing for Optimization and Control. NeurIPS 2022.

PDF Cite Code

Sanghyun Son, Yi-Ling Qiao, Jason Sewall, Ming C. Lin (2022). Differentiable Hybrid Traffic Simulation. SIGGRAPH Asia 2022, Journal Track.

PDF Cite Code Project

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

PDF Cite Code

Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin (2021). Efficient Differentiable Simulation of Articulated Bodies. International Conference on Machine Learning (ICML 2021).

PDF Cite Code Slides Video

Jing Liang, Yi-Ling Qiao, Tianrui Guan, Dinesh Manocha (2021). OF-VO Efficient Navigation among Pedestrians Using Commodity Sensors. IEEE Robotics and Automation Letters (ICRA/RAL 2021).

PDF Cite

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

PDF Cite

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

PDF Cite Code Video

Yi-Ling Qiao, Lin Gao, Shu-Zhi Liu, Ligang Liu, Yu-Kun Lai, Xilin Chen (2020). Learning-based Intrinsic Reflectional Symmetry Detection. IEEE Transactions on Visualization and Computer Graphics.

PDF Cite Code

Yi-Ling Qiao, Lin Gao, Jie Yang, Paul L. Rosin, Yu-Kun Lai, Xilin Chen (2020). Learning on 3D Meshes with Laplacian Encoding and Pooling. IEEE Transactions on Visualization and Computer Graphics.

PDF Cite Code

Yi-Ling Qiao, Yu-Kun Lai, Hongbo Fu, Lin Gao (2019). Synthesizing Mesh Deformation Sequences with Bidirectional LSTM. IEEE Transactions on Visualization and Computer Graphics.

PDF Cite

Yi-Ling Qiao, Chang Shi, Chenjian Wang, Hao Li, Matt Haberland, Xiyang Luo, Andrew M. Stuart, Andrea L. Bertozzi (2019). Uncertainty Quantification for Semi-supervised Multi-class Classification in Image Processing and Ego-Motion Analysis of Body-Worn Videos. Electronic Imaging 2019.

PDF Cite

Lin Gao, Jie Yang, Yi-Ling Qiao, Yu-Kun Lai, Paul L. Rosin, Weiwei Xu, Shihong Xia (2018). Automatic Unpaired Shape Deformation Transfer. In SIGGRAPH Asia 2018.

PDF Cite Code Project Video

Yi-Ling Qiao, Lin Gao, Yu-Kun Lai, Fang-Lue Zhang, Ming-Ze Yuan, Shihong Xia (2018). SF-Net Learning Scene Flow from RGB-D Images with CNNs. The British Machine Vision Conference (BMVC 2018).

PDF Cite