Ziyao Xu

We propose a hybrid compression algorithm that uses the deep convolutional neural network to compute the spatial saliency followed by extraction of the temporal saliency from the compressed-domain motion information. Expand

We develop high-order bound-preserving (BP) discontinuous Galerkin (DG) methods for the coupled system of compressible miscible displacements on triangular meshes. Expand

In this paper, we propose a multilevel reputation system which also serves as the base of an incentive system. Expand

We provide another perspective for DFM based on hybrid-dimensional representation of permeability Tensor to describe fractures as one-dimensional line Dirac delta functions contained in permeability tensor. Expand

In this paper, we propose high-order bound-preserving discontinuous Galerkin methods to keep these important physical properties of porosity and acid concentration in the simulation. Expand

We apply local discontinuous Galerkin methods to the compressible wormhole propagation. Expand

We argue that, in a reputation-aided P2P file-sharing system, the faithful delivery of an authentic file depends on the authenticity of the file, its reputation (either the objective reputation of itself or the subjective reputation of its providing peer) and its index. Expand