169 citations · 171 across the 6 of their papers we have counts for
6 papers
Scalable attribute-aware network embedding with locality
Weiyi Liu, Zhining Liu, Toyotaro Suzumura +1
Adding attributes for nodes to network embedding helps to improve the ability of the learned joint representation to depict features from topology and attributes simultaneously. Re…
3D seismic data denoising using two-dimensional sparse coding scheme
Ming-Jun Su, Jingbo Chang, Feng Qian +2
Seismic data denoising is vital to geophysical applications and the transform-based function method is one of the most widely used techniques. However, it is challenging to design…
Seismic facies recognition based on prestack data using deep convolutional autoencoder
Feng Qian, Miao Yin, Ming-Jun Su +2
Prestack seismic data carries much useful information that can help us find more complex atypical reservoirs. Therefore, we are increasingly inclined to use prestack seismic data f…
Exact 3D seismic data reconstruction using Tubal-Alt-Min algorithm
Feng Qian, Quan Chen, Ming-Jun Su +2
Data missing is an common issue in seismic data, and many methods have been proposed to solve it. In this paper, we present the low-tubal-rank tensor model and a novel tensor compl…
A Novel Methodologyof Router-To-ASMapping inspired by Community Discovery
Weiyi Liu, Qing Jiang, Gaolei Fei +2
In the last decade many works has been done on the Internet topology at router or autonomous system (AS) level. As routers is the essential composition of ASes while ASes dominate…
Mining Essential Relationships under Multiplex Networks
Liu Weiyi, Chen Lingli, Hu Guangmin
In big data times, massive datasets often carry different relationships among the same group of nodes, analyzing on these heterogeneous relationships may give us a window to peek t…