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Tao Du

15 papers · 2019–2026 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (32) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Gold 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (80) πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze 🌈 Renaissance Researcher (6)

Papers

PolarGuide-GSDR: 3D Gaussian Splatting Driven by Polarization Priors and Deferred Reflection for Real-World Reflective Scenes CVPR 2026 TopoGaussian: Inferring Internal Topology Structures from Visual Clues ICLR 2025 NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation NeurIPS 2024 Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer ECCV 2024 ScissorBot: Learning Generalizable Scissor Skill for Paper Cutting via Simulation, Imitation, and Sim2Real CoRL 2024 DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics ICLR 2023 Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics ICML 2023 Learning Preconditioners for Conjugate Gradient PDE Solvers ICML 2023 Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics ICLR 2022 Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models ICML 2022 RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation ICLR 2022 Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language NeurIPS 2021 PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics ICLR 2021 Efficient Continuous Pareto Exploration in Multi-Task Learning ICML 2020 Learning-In-The-Loop Optimization: End-To-End Control And Co-Design Of Soft Robots Through Learned Deep Latent Representations NeurIPS 2019