Ruoyu Wang

Orcid: 0000-0003-0884-2520

Affiliations:
  • South China University of Technology, Information and Network Engineering and Research Center, Guangzhou, China (PhD 2015)


According to our database1, Ruoyu Wang authored at least 26 papers between 2013 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Bibliography

2024
SeGDroid: An Android malware detection method based on sensitive function call graph learning.
Expert Syst. Appl., January, 2024

2022
Improving the generalization of unsupervised feature learning by using data from different sources on gene expression data for cancer diagnosis.
Medical Biol. Eng. Comput., 2022

A convolutional neural network based Android malware detection method with dynamic fine-tuning.
Proceedings of the 32nd International Telecommunication Networks and Applications Conference, 2022

Research on fine-tuning CNN for cancer diagnosis with gene expression data.
Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022

2021
Research on unsupervised feature learning for Android malware detection based on Restricted Boltzmann Machines.
Future Gener. Comput. Syst., 2021

Active Learning-Based Optimization of Scientific Experimental Design.
CoRR, 2021

An Unsupervised Feature Learning Method for Enhancing the Generalization of Cancer Diagnosis.
Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

2020
A sub-concept-based feature selection method for one-class classification.
Soft Comput., 2020

A statistical pattern based feature extraction method on system call traces for anomaly detection.
Inf. Softw. Technol., 2020

Subconcept Based One Class Classification Method with Cluster Updating.
Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020

2019
Mobile app traffic flow feature extraction and selection for improving classification robustness.
J. Netw. Comput. Appl., 2019

Adaptive learning on mobile network traffic data.
Connect. Sci., 2019

2018
Extending labeled mobile network traffic data by three levels traffic identification fusion.
Future Gener. Comput. Syst., 2018

Benchmark Data for Mobile App Traffic Research.
Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018

2017
A hybrid method based on ensemble WELM for handling multi class imbalance in cancer microarray data.
Neurocomputing, 2017

Objective cost-sensitive-boosting-WELM for handling multi class imbalance problem.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
SmoteAdaNL: a learning method for network traffic classification.
J. Ambient Intell. Humaniz. Comput., 2016

Corrigendum to "A class-oriented feature selection approach for multi-class imbalanced network traffic datasets based on local and global metrics fusion" [Neurocomputing 168 (2015) 365-381].
Neurocomputing, 2016

A System for Linking Ground Truth to Mobile Network Traffic.
Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, 2016

Mobilegt: A system to collect mobile traffic trace and build the ground truth.
Proceedings of the 26th International Telecommunication Networks and Applications Conference, 2016

Research on mobile network traffic taxonomy.
Proceedings of the International Conference on Computer, 2016

2015
Identifying Internet background radiation traffic based on traffic source distribution.
J. High Speed Networks, 2015

A class-oriented feature selection approach for multi-class imbalanced network traffic datasets based on local and global metrics fusion.
Neurocomputing, 2015

2014
Large traffic flows classification method.
Proceedings of the IEEE International Conference on Communications, 2014

2013
Classifying imbalanced Internet traffic based PCDD: a per concept drift detection method.
Smart Comput. Rev., 2013

A Novel Method of Filtering Internet Background Radiation Traffic.
Proceedings of the 2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies, 2013


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