5 citations · 8 across the 5 of their papers we have counts for
5 papers
ParaRNN: An Interpretable and Parallelizable Recurrent Neural Network for Time-Dependent Data
Yuxi Cai, Lan Li, Feiqing Huang +1
The proliferation of large-scale and structurally complex data has spurred the integration of machine learning methods into statistical modeling. Recurrent neural networks (RNNs),…
Cross-Layer Retrospective Retrieving via Layer Attention
Yanwen Fang, Yuxi Cai, Jintai Chen +3
More and more evidence has shown that strengthening layer interactions can enhance the representation power of a deep neural network, while self-attention excels at learning interd…
Lightweight Spatial-Channel Adaptive Coordination of Multilevel Refinement Enhancement Network for Image Reconstruction
Yuxi Cai, Huicheng Lai, Zhenghong Jia
Benefiting from the vigorous development of deep learning, many CNN-based image super-resolution methods have emerged and achieved better results than traditional algorithms. Howev…
CIMUFS: Complementary and Consensus Learning-based Incomplete Multi-view Unsupervised Feature Selection
Yanyong Huang, Zongxin Shen, Yuxin Cai +4
Multi-view unsupervised feature selection (MUFS) has been demonstrated as an effective technique to reduce the dimensionality of multi-view unlabeled data. The existing methods ass…
Image Reconstruction of Multi Branch Feature Multiplexing Fusion Network with Mixed Multi-layer Attention
Yuxi Cai, Huicheng Lai
Image super-resolution reconstruction achieves better results than traditional methods with the help of the powerful nonlinear representation ability of convolution neural network.…