5 citations · 8 across the 7 of their papers we have counts for
10 papers
Generative networks as inverse problems with fractional wavelet scattering networks
Jiasong Wu, Jing Zhang, Fuzhi Wu +4
Deep learning is a hot research topic in the field of machine learning methods and applications. Generative Adversarial Networks (GANs) and Variational Auto-Encoders (VAEs) provide…
Deep Octonion Networks
Jiasong Wu, Ling Xu, Youyong Kong +2
Deep learning is a research hot topic in the field of machine learning. Real-value neural networks (Real NNs), especially deep real networks (DRNs), have been widely used in many r…
Compressing complex convolutional neural network based on an improved deep compression algorithm
Jiasong Wu, Hongshan Ren, Youyong Kong +3
Although convolutional neural network (CNN) has made great progress, large redundant parameters restrict its deployment on embedded devices, especially mobile devices. The recent c…
Fractional spectral graph wavelets and their applications
Jiasong Wu, Fuzhi Wu, Qihan Yang +5
One of the key challenges in the area of signal processing on graphs is to design transforms and dictionaries methods to identify and exploit structure in signals on weighted graph…
Modulated binary cliquenet
Jinpeng Xia, Jiasong Wu, Youyong Kong +3
Although Convolutional Neural Networks (CNNs) achieve effectiveness in various computer vision tasks, the significant requirement of storage of such networks hinders the deployment…
Fractional Wavelet Scattering Network and Applications
Li Liu, Jiasong Wu, Dengwang Li +2
Objective: The present study introduces a fractional wavelet scattering network (FrScatNet), which is a generalized translation invariant version of the classical wavelet scatterin…