14 citations · 15 across the 5 of their papers we have counts for
5 papers
Pruning with Compensation: Efficient Channel Pruning for Deep Convolutional Neural Networks
Zhouyang Xie, Yan Fu, Shengzhao Tian +2
Channel pruning is a promising technique to compress the parameters of deep convolutional neural networks(DCNN) and to speed up the inference. This paper aims to address the long-s…
Predicting Critical Nodes in Temporal Networks by Dynamic Graph Convolutional Networks
En-Yu Yu, Yan Fu, Jun-Lin Zhou +2
Many real-world systems can be expressed in temporal networks with nodes playing far different roles in structure and function and edges representing the relationships between node…
Finding important edges in networks through local information
En-Yu Yu, Yan Fu, Jun-Lin Zhou +1
In transportation, communication, social and other real complex networks, some critical edges act a pivotal part in controlling the flow of information and maintaining the integrit…
Tool Breakage Detection using Deep Learning
Guang Li, Xin Yang, Duanbing Chen +3
In manufacture, steel and other metals are mainly cut and shaped during the fabrication process by computer numerical control (CNC) machines. To keep high productivity and efficien…
Information Filtering on Coupled Social Networks
Da-Cheng Nie, Zi-Ke Zhang, Jun-lin Zhou +2
In this paper, based on the coupled social networks (CSN), we propose a hybrid algorithm to nonlinearly integrate both social and behavior information of online users. Filtering al…