2 citations · 2 across the 5 of their papers we have counts for
5 papers
An Efficient Speech Separation Network Based on Recurrent Fusion Dilated Convolution and Channel Attention
Junyu Wang
We present an efficient speech separation neural network, ARFDCN, which combines dilated convolutions, multi-scale fusion (MSF), and channel attention to overcome the limited recep…
Efficient Encoder-Decoder and Dual-Path Conformer for Comprehensive Feature Learning in Speech Enhancement
Junyu Wang
Current speech enhancement (SE) research has largely neglected channel attention and spatial attention, and encoder-decoder architecture-based networks have not adequately consider…
A Range-Null Space Decomposition Approach for Fast and Flexible Spectral Compressive Imaging
Junyu Wang, Shijie Wang, Ruijie Zhang +3
We present RND-SCI, a novel framework for compressive hyperspectral image (HSI) reconstruction. Our framework decomposes the reconstructed object into range-space and null-space co…
A Simple Adaptive Unfolding Network for Hyperspectral Image Reconstruction
Junyu Wang, Shijie Wang, Wenyu Liu +2
We present a simple, efficient, and scalable unfolding network, SAUNet, to simplify the network design with an adaptive alternate optimization framework for hyperspectral image (HS…
Improved Super-Resolution Convolution Neural Network for Large Images
Junyu, Wang, Rong Song
Single image super-resolution (SISR) is a very popular topic nowadays, which has both research value and practical value. In daily life, we crop a large image into sub-images to do…