1 citations · 1 across the 5 of their papers we have counts for
5 papers
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning
Guodong Qi, Huimin Yu
Unsupervised meta-learning aims to learn the meta knowledge from unlabeled data and rapidly adapt to novel tasks. However, existing approaches may be misled by the context-bias (e.…
Subsonic time-periodic solution to compressible Euler equations with damping in a bounded domain
Peng Qu, Huimin Yu, Xiaomin Zhang
In this paper, we consider the one-dimensional isentropic compressible Euler equations with linear damping in a bounded domain, which can be used to describe the process…
Time-periodic solution to nonhomogeneous isentropic compressible Euler equations with time-periodic boundary conditions
Huimin Yu, Xiaomin Zhang, Jiawei Sun
In this paper, we study one-dimensional nonhomogeneous isentropic compressible Euler equations with time-periodic boundary conditions. With the aid of the energy methods, we prove…
Vacuum and singularity formation for compressible Euler equations with time-dependent damping
Ying Sui, Weiqiang Wang, Huimin Yu
In this paper, vacuum and singularity formation are considered for compressible Euler equations with time-dependent damping. For , by constructing some new control funct…
Local Similarity Pattern and Cost Self-Reassembling for Deep Stereo Matching Networks
Biyang Liu, Huimin Yu, Yangqi Long
Although convolution neural network based stereo matching architectures have made impressive achievements, there are still some limitations: 1) Convolutional Feature (CF) tends to…