| Scalable differentiable physics for learning and control YL Qiao, J Liang, V Koltun, MC Lin International Conference on Machine Learning (ICML) 119, 7847-7856, 2020 | 134 | 2020 |
| Automatic unpaired shape deformation transfer L Gao, J Yang, YL Qiao, YK Lai, PL Rosin, W Xu, S Xia ACM Transactions on Graphics (ToG) 37 (6), 1-15, 2018 | 106 | 2018 |
| PAC-neRF: Physics augmented continuum neural radiance fields for geometry-agnostic system identification X Li, YL Qiao, PY Chen, KM Jatavallabhula, M Lin, C Jiang, C Gan ICLR 2023, 2023 | 69 | 2023 |
| Efficient Differentiable Simulation of Articulated Bodies YL Qiao, J Liang, V Koltun, MC Lin International Conference on Machine Learning (ICML), 2021 | 63 | 2021 |
| Differentiable Simulation of Soft Multi-body Systems YL Qiao, J Liang, V Koltun, MC Lin Advances in Neural Information Processing Systems (NeurIPS), 2021 | 51 | 2021 |
| NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos YL Qiao, A Gao, MC Lin Advances in Neural Information Processing Systems (NeurIPS), 2022 | 39 | 2022 |
| Differentiable Fluids with Solid Coupling for Learning and Control T Takahashi, J Liang, YL Qiao, MC Lin AAAI Conference on Artificial Intelligence (AAAI), 2021 | 35 | 2021 |
| Learning on 3D meshes with Laplacian encoding and pooling YL Qiao, L Gao, J Yang, PL Rosin, YK Lai, X Chen IEEE Transactions on Visualization and Computer Graphics 28 (2), 1317-1327, 2020 | 33 | 2020 |
| Uncertainty quantification for semi-supervised multi-class classification in image processing and ego-motion analysis of body-worn videos YL Qiao, C Shi, C Wang, H Li, M Haberland, X Luo, AM Stuart, AL Bertozzi Electronic Imaging 2019 (11), 264-1-264-7, 2019 | 22 | 2019 |
| Dynamic mesh-aware radiance fields YL Qiao, A Gao, Y Xu, Y Feng, JB Huang, MC Lin Proceedings of the IEEE/CVF international conference on computer vision, 385-396, 2023 | 21 | 2023 |
| Differentiable Analog Quantum Computing for Optimization and Control J Leng, Y Peng, YL Qiao, M Lin, X Wu Advances in Neural Information Processing Systems (NeurIPS), 2022 | 21 | 2022 |
| Synthesizing mesh deformation sequences with bidirectional LSTM YL Qiao, YK Lai, H Fu, L Gao IEEE Transactions on Visualization and Computer Graphics 28 (4), 1906-1916, 2020 | 18* | 2020 |
| SF-Net: Learning scene flow from RGB-D images with CNNs YL Qiao, L Gao, Y Lai, FL Zhang, MZ Yuan, S Xia British Machine Vision Conference (BMVC) 2018, 2018 | 17 | 2018 |
| OF-VO: Efficient navigation among pedestrians using commodity sensors J Liang, YL Qiao, T Guan, D Manocha IEEE Robotics and Automation Letters 6 (4), 6148-6155, 2021 | 16* | 2021 |
| Gradient Informed Proximal Policy Optimization S Son, LY Zheng, R Sullivan, YL Qiao, MC Lin NeurIPS 2023, 2023 | 11 | 2023 |
| Differentiable Hybrid Traffic Simulation S Son, YL Qiao, J Sewall, MC Lin ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia 2022), 2022 | 10 | 2022 |
| Vision-centric bev perception: A survey. arXiv 2022 Y Ma, T Wang, X Bai, H Yang, Y Hou, Y Wang, Y Qiao, R Yang, ... arXiv preprint arXiv:2208.02797, 0 | 8 | |
| Towards a foundation model for generalist robots: Diverse skill learning at scale via automated task and scene generation Z Xian, T Gervet, Z Xu, YL Qiao, TH Wang arXiv preprint arXiv:2305.10455 1, 2023 | 7 | 2023 |
| Towards generalist robots: A promising paradigm via generative simulation Z Xian, T Gervet, Z Xu, YL Qiao, TH Wang, Y Wang arXiv preprint arXiv:2305.10455, 2023 | 6 | 2023 |
| Learning-based Real-time Detection of Intrinsic Reflectional Symmetry YL Qiao, L Gao, SZ Liu, L Liu, YK Lai, X Chen IEEE Transactions on Visualization and Computer Graphics, 2022 | 5* | 2022 |
