42 citations · 150 across the 14 of their papers we have counts for
14 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…
The MUIR Framework: Cross-Linking MOOC Resources to Enhance Discussion Forums
Ya-Hui An, Muthu Kumar Chandresekaran, Min-Yen Kan +1
New learning resources are created and minted in Massive Open Online Courses every week -- new videos, quizzes, assessments and discussion threads are deployed and interacted with…
Resource Mention Extraction for MOOC Discussion Forums
Ya-Hui An, Liangming Pan, Min-Yen Kan +2
In discussions hosted on discussion forums for MOOCs, references to online learning resources are often of central importance. They contextualize the discussion, anchoring the disc…
Diffusion-like recommendation with enhanced similarity of objects
Ya-Hui An, Qiang Dong, Chong-Jing Sun +2
In last decades, diversity and accuracy have been regarded as two important measures in evaluating a recommendation model. However, a clear concern is that a model focusing excessi…