42 citations · 150 across the 14 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.CV2021★ 1 cited
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…
cs.SI2021
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…
cs.SI2021
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…