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20132023
most citedTI-CNN: Convolutional Neural Networks for Fake News Detection

232 citations · 1.4k across the 72 of their papers we have counts for

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Showing 2017Show all

6 papers · 1 filter

cs.SI2017

BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion

Jiawei Zhang, Limeng Cui, Philip S. Yu +1

Employees in companies can be divided into di erent communities, and those who frequently socialize with each other will be treated as close friends and are grouped in the same com…

cs.SI2017★ 1 cited

BL-MNE: Emerging Heterogeneous Social Network Embedding through Broad Learning with Aligned Autoencoder

Jiawei Zhang, Congying Xia, Chenwei Zhang +3

Network embedding aims at projecting the network data into a low-dimensional feature space, where the nodes are represented as a unique feature vector and network structure can be…

cs.CR2017★ 5 cited

Contaminant Removal for Android Malware Detection Systems

Lichao Sun, Xiaokai Wei, Jiawei Zhang +3

A recent report indicates that there is a new malicious app introduced every 4 seconds. This rapid malware distribution rate causes existing malware detection systems to fall far b…

cs.SI2017★ 1 cited

LATTE: Application Oriented Social Network Embedding

Lin Meng, Jiyang Bai, Jiawei Zhang

In recent years, many research works propose to embed the network structured data into a low-dimensional feature space, where each node is represented as a feature vector. However,…

cs.SI2017★ 12 cited

Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks

Sina Sajadmanesh, Sogol Bazargani, Jiawei Zhang +1

Online social networks, World Wide Web, media and technological networks, and other types of so-called information networks are ubiquitous nowadays. These information networks are…

cs.LG2017★ 1 cited

NPGLM: A Non-Parametric Method for Temporal Link Prediction

Sina Sajadmanesh, Jiawei Zhang, Hamid R. Rabiee

In this paper, we try to solve the problem of temporal link prediction in information networks. This implies predicting the time it takes for a link to appear in the future, given…