activity
20192022
most citedContaining misinformation spreading in temporal social networks

24 citations · 57 across the 9 of their papers we have counts for

collaborators

9 papers

physics.soc-ph2022

Network structural perturbation against interlayer link prediction

Rui Tang, Shuyu Jiang, Xingshu Chen +2

Interlayer link prediction aims at matching the same entities across different layers of the multiplex network. Existing studies attempt to predict more accurately, efficiently, or…

cs.CL2022★ 5 cited

ClueGraphSum: Let Key Clues Guide the Cross-Lingual Abstractive Summarization

Shuyu Jiang, Dengbiao Tu, Xingshu Chen +3

Cross-Lingual Summarization (CLS) is the task to generate a summary in one language for an article in a different language. Previous studies on CLS mainly take pipeline methods or…

cs.SI2022★ 3 cited

Detecting Offensive Language on Social Networks: An End-to-end Detection Method based on Graph Attention Networks

Zhenxiong Miao, Xingshu Chen, Haizhou Wang +3

The pervasiveness of offensive language on the social network has caused adverse effects on society, such as abusive behavior online. It is urgent to detect offensive language and…

cs.CV2021

Analyzing Adversarial Robustness of Deep Neural Networks in Pixel Space: a Semantic Perspective

Lina Wang, Xingshu Chen, Yulong Wang +4

The vulnerability of deep neural networks to adversarial examples, which are crafted maliciously by modifying the inputs with imperceptible perturbations to misled the network prod…

cs.CV2020★ 1 cited

An End-to-End Attack on Text-based CAPTCHAs Based on Cycle-Consistent Generative Adversarial Network

Chunhui Li, Xingshu Chen, Haizhou Wang +2

As a widely deployed security scheme, text-based CAPTCHAs have become more and more difficult to resist machine learning-based attacks. So far, many researchers have conducted atta…

cs.LG2020★ 17 cited

Improving adversarial robustness of deep neural networks by using semantic information

Lina Wang, Rui Tang, Yawei Yue +4

The vulnerability of deep neural networks (DNNs) to adversarial attack, which is an attack that can mislead state-of-the-art classifiers into making an incorrect classification wit…

physics.soc-ph2020★ 3 cited

Interlayer Link Prediction in Multiplex Social Networks Based on Multiple Types of Consistency between Embedding Vectors

Rui Tang, Zhenxiong Miao, Shuyu Jiang +3

Online users are typically active on multiple social media networks (SMNs), which constitute a multiplex social network. It is becoming increasingly challenging to determine whethe…

physics.soc-ph2020★ 4 cited

Interlayer link prediction in multiplex social networks: an iterative degree penalty algorithm

Rui Tang, Shuyu Jiang, Xingshu Chen +3

Online social network (OSN) applications provide different experiences; for example, posting a short text on Twitter and sharing photographs on Instagram. Multiple OSNs constitute…

physics.soc-ph2019★ 24 cited

Containing misinformation spreading in temporal social networks

Wei Wang, Yuanhui Ma, Tao Wu +3

Many researchers from a variety of fields including computer science, network science and mathematics have focused on how to contain the outbreaks of Internet misinformation that t…