Junyang Qiu

Orcid: 0000-0001-8288-6180

According to our database1, Junyang Qiu authored at least 18 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Cyber Code Intelligence for Android Malware Detection.
IEEE Trans. Cybern., 2023

2022
Joint network embedding of network structure and node attributes via deep autoencoder.
Neurocomputing, 2022

2021
A fast X-shaped foreground segmentation network with CompactASPP.
Eng. Appl. Artif. Intell., 2021

A Survey of Android Malware Detection with Deep Neural Models.
ACM Comput. Surv., 2021

Mask-guided noise restriction adversarial attacks for image classification.
Comput. Secur., 2021

2020
Making Adversarial Examples More Transferable and Indistinguishable.
CoRR, 2020

FLGAI: a unified network embedding framework integrating multi-scale network structures and node attribute information.
Appl. Intell., 2020

Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
A New Smart Router-Throttling Method to Mitigate DDoS Attacks.
IEEE Access, 2019

A3CM: Automatic Capability Annotation for Android Malware.
IEEE Access, 2019

Predicting the Impact of Android Malicious Samples via Machine Learning.
IEEE Access, 2019

How to Make Attention Mechanisms More Practical in Malware Classification.
IEEE Access, 2019

Densely Connected Convolutional Networks With Attention LSTM for Crowd Flows Prediction.
IEEE Access, 2019

Data-Driven Android Malware Intelligence: A Survey.
Proceedings of the Machine Learning for Cyber Security - Second International Conference, 2019

2018
Online learning for vector autoregressive moving-average time series prediction.
Neurocomputing, 2018

Keep Calm and Know Where to Focus: Measuring and Predicting the Impact of Android Malware.
Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

2016
A novel semi-supervised approach for feature extraction.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2014
Semi-Supervised Feature Selection with Universum Based on Linked Social Media Data.
IEICE Trans. Inf. Syst., 2014


  Loading...