Zhen Liu

Orcid: 0000-0002-3327-4118

Affiliations:
  • Guangdong Pharmaceutical University, School of Medical Information Engineering, Guangzhou, China
  • South China University of Technology, School of Computer Science and Engineering, Guangzhou, China (PhD 2013)


According to our database1, Zhen Liu authored at least 44 papers between 2012 and 2022.

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

Timeline

Legend:

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Bibliography

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

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

A Generic Knowledge Based Medical Diagnosis Expert System.
CoRR, 2021

LSTM Based Sentiment Analysis for Cryptocurrency Prediction.
CoRR, 2021

An Evolutionary Frog Leaping Algorithm for Global Optimization Problems and Applications.
Comput. Intell. Neurosci., 2021

A Generic Knowledge Based Medical Diagnosis Expert System.
Proceedings of the iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence, Linz, Austria, 29 November 2021, 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

An Effective Algorithm for Classification of Text with Weak Sequential Relationships.
Proceedings of the Database and Expert Systems Applications, 2021

Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

LSTM Based Sentiment Analysis for Cryptocurrency Prediction.
Proceedings of the Database Systems for Advanced Applications, 2021

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

Accelerating information entropy-based feature selection using rough set theory with classified nested equivalence classes.
Pattern Recognit., 2020

Spherical search optimizer: a simple yet efficient meta-heuristic approach.
Neural Comput. Appl., 2020

Memetic quantum evolution algorithm for global optimization.
Neural Comput. Appl., 2020

NEC: A nested equivalence class-based dependency calculation approach for fast feature selection using rough set theory.
Inf. Sci., 2020

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

PIMD: An Integrative Approach for Drug Repositioning Using Multiple Characterization Fusion.
Genom. Proteom. Bioinform., 2020

Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 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

A Data-driven Human Responsibility Management System.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Using Machine Learning to Automate Mammogram Images Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Memetic frog leaping algorithm for global optimization.
Soft Comput., 2019

A Novel Centralized Range-Free Static Node Localization Algorithm with Memetic Algorithm and Lévy Flight.
Sensors, 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

Learning with Drift Detection based on k Time Sub-concept Windows.
Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 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

Adaptive Threshold for Outlier Detection on Data Streams.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 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 lévy flight-based shuffled frog-leaping algorithm and its applications for continuous optimization problems.
Appl. Soft Comput., 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

2012
Balanced feature selection method for Internet traffic classification.
IET Networks, 2012


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