70 citations · 83 across the 6 of their papers we have counts for
6 papers
Anderson Acceleration for Nonconvex ADMM Based on Douglas-Rachford Splitting
Wenqing Ouyang, Yue Peng, Yuxin Yao +2
The alternating direction multiplier method (ADMM) is widely used in computer graphics for solving optimization problems that can be nonsmooth and nonconvex. It converges quickly t…
Accelerating ADMM for Efficient Simulation and Optimization
Juyong Zhang, Yue Peng, Wenqing Ouyang +1
The alternating direction method of multipliers (ADMM) is a popular approach for solving optimization problems that are potentially non-smooth and with hard constraints. It has bee…
Parallel and Scalable Heat Methods for Geodesic Distance Computation
Jiong Tao, Juyong Zhang, Bailin Deng +3
In this paper, we propose a parallel and scalable approach for geodesic distance computation on triangle meshes. Our key observation is that the recovery of geodesic distance with…
Fast K-Means Clustering with Anderson Acceleration
Juyong Zhang, Yuxin Yao, Yue Peng +2
We propose a novel method to accelerate Lloyd's algorithm for K-Means clustering. Unlike previous acceleration approaches that reduce computational cost per iterations or improve i…
Anderson Acceleration for Geometry Optimization and Physics Simulation
Yue Peng, Bailin Deng, Juyong Zhang +3
Many computer graphics problems require computing geometric shapes subject to certain constraints. This often results in non-linear and non-convex optimization problems with global…
Static/Dynamic Filtering for Mesh Geometry
Juyong Zhang, Bailin Deng, Yang Hong +3
The joint bilateral filter, which enables feature-preserving signal smoothing according to the structural information from a guidance, has been applied for various tasks in geometr…