Area of research
Computational Mechanics · Computer Graphics and Computer-Aided Design
Research interest
Research interests include 3D Shape Modeling and Analysis, Computer Graphics and Visualization Techniques, Advanced Numerical Analysis Techniques, and Advanced Vision and Imaging.
Gaussian Splashing: Unified Particles for Versatile Motion Synthesis and Rendering
PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics
VR-GS: A Physical Dynamics-Aware Interactive Gaussian Splatting System in Virtual Reality
RTG-SLAM: Real-time 3D Reconstruction at Scale using Gaussian Splatting
PIE-NeRF: Physics-Based Interactive Elastodynamics with NeRF
DCOR: Dynamic Channel-Wise Outlier Removal to De-Noise LiDAR Data Corrupted by Snow
Second-order Stencil Descent for Interior-point Hyperelasticity
Subspace-Preconditioned GPU Projective Dynamics with Contact for Cloth Simulation
A Contact Proxy Splitting Method for Lagrangian Solid-Fluid Coupling
Stable Discrete Bending by Analytic Eigensystem and Adaptive Orthotropic Geometric Stiffness
Penetration-free projective dynamics on the GPU
A unified newton barrier method for multibody dynamics
A Sparse Distributed Gigascale Resolution Material Point Method
CAREER: Deep Learning Empowered Nonlinear Deformable Model
CHS: Small: Towards Next-Generation Large-Scale Nonlinear Deformable Simulation
CHS: Small: High Resolution Motion Capture
III: Small: Collaborative Research: Learning Active Physics-Based Models from Data
CAREER: Deep Learning Empowered Nonlinear Deformable Model
CHS: Small: Towards Next-Generation Large-Scale Nonlinear Deformable Simulation
CAREER: Deep Learning Empowered Nonlinear Deformable Model
CHS: Small: Towards Next-Generation Large-Scale Nonlinear Deformable Simulation
CRII: CHS: A Plug-and-Play Deformable Model Based on Extended Domain Decomposition