Du, Tao

17 publications

NeurIPS 2025 Learning Sparse Approximate Inverse Preconditioners for Conjugate Gradient Solvers on GPUs Zherui Yang, Zhehao Li, Kangbo Lyu, Yixuan Li, Tao Du, Ligang Liu

NeurIPS 2025 Learning to Control Free-Form Soft Swimmers Changyu Hu, Yanke Qu, Qiuan Yang, Xiaoyu Xiong, Kui Wu, Wei Li, Tao Du

ICLR 2025 TopoGaussian: Inferring Internal Topology Structures from Visual Clues Xiaoyu Xiong, Changyu Hu, Chunru Lin, Pingchuan Ma, Chuang Gan, Tao Du

NeurIPS 2024 NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation Yifei Li, Yuchen Sun, Pingchuan Ma, Eftychios Sifakis, Tao Du, Bo Zhu, Wojciech Matusik

ECCV 2024 Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer Xueyi Liu, Kangbo Lyu, Jieqiong Zhang, Tao Du, Li Yi

CoRL 2024 ScissorBot: Learning Generalizable Scissor Skill for Paper Cutting via Simulation, Imitation, and Sim2Real Jiangran Lyu, Yuxing Chen, Tao Du, Feng Zhu, Huiquan Liu, Yizhou Wang, He Wang

ICLR 2023 DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics Sizhe Li, Zhiao Huang, Tao Chen, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan

NeurIPSW 2023 EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations Vaibhav Bihani, Utkarsh Pratiush, Sajid Mannan, Tao Du, Zhimin Chen, Santiago Miret, Matthieu Micoulaut, Morten M Smedskjaer, Sayan Ranu, N M Anoop Krishnan

ICML 2023 Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Joshua B. Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik

ICML 2023 Learning Preconditioners for Conjugate Gradient PDE Solvers Yichen Li, Peter Yichen Chen, Tao Du, Wojciech Matusik

ICLR 2022 Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics Sizhe Li, Zhiao Huang, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan

ICML 2022 Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models Elvis Nava, John Z Zhang, Mike Yan Michelis, Tao Du, Pingchuan Ma, Benjamin F. Grewe, Wojciech Matusik, Robert Kevin Katzschmann

ICLR 2022 RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation Pingchuan Ma, Tao Du, Joshua B. Tenenbaum, Wojciech Matusik, Chuang Gan

NeurIPS 2021 Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language Mingyu Ding, Zhenfang Chen, Tao Du, Ping Luo, Josh Tenenbaum, Chuang Gan

ICLR 2021 PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics Zhiao Huang, Yuanming Hu, Tao Du, Siyuan Zhou, Hao Su, Joshua B. Tenenbaum, Chuang Gan

ICML 2020 Efficient Continuous Pareto Exploration in Multi-Task Learning Pingchuan Ma, Tao Du, Wojciech Matusik

NeurIPS 2019 Learning-in-the-Loop Optimization: End-to-End Control and Co-Design of Soft Robots Through Learned Deep Latent Representations Andrew Spielberg, Allan Zhao, Yuanming Hu, Tao Du, Wojciech Matusik, Daniela Rus