Qingfang Meng

According to our database1, Qingfang Meng authored at least 53 papers between 2009 and 2023.

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

Timeline

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Bibliography

2023
Prediction of Membrane Protein Amphiphilic Helix Based on Horizontal Visibility Graph and Graph Convolution Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Seizure Prediction Based on Multidimensional EEG Spatial Matrix and Residual Network Structure.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Prediction of circRNA-Binding Protein Site Based on Hybrid Neural Networks and Recurrent Forests Method.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022
Predicting the Subcellular Localization of Multi-site Protein Based on Fusion Feature and Multi-label Deep Forest Model.
Proceedings of the Intelligent Computing Theories and Application, 2022

Membrane Protein Amphiphilic Helix Structure Prediction Based on Graph Convolution Network.
Proceedings of the Intelligent Computing Theories and Application, 2022

2021
A Cascade Flexible Neural Forest Model for Cancer Subtypes Classification on Gene Expression Data.
Comput. Intell. Neurosci., 2021

A laminar augmented cascading flexible neural forest model for classification of cancer subtypes based on gene expression data.
BMC Bioinform., 2021

2020
Subcellular location prediction of apoptosis proteins using two novel feature extraction methods based on evolutionary information and LDA.
BMC Bioinform., 2020

Using Evolutionary Information and Multi-Label Linear Discriminant Analysis to Predict the Subcellular Location of Multi-Site Bacterial Proteins via Chou's 5-Steps Rule.
IEEE Access, 2020

2019
A hierarchical integration deep flexible neural forest framework for cancer subtype classification by integrating multi-omics data.
BMC Bioinform., 2019

A Novel Deep Flexible Neural Forest Model for Classification of Cancer Subtypes Based on Gene Expression Data.
IEEE Access, 2019

Analysing Epileptic EEG Signals Based on Improved Transition Network.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Protein Tertiary Structure Prediction Based on Multiscale Recurrence Quantification Analysis and Horizontal Visibility Graph.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Automatic Seizure Detection Based on a Novel Multi-feature Fusion Method and EMD.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Robust Circulating Tumor Cells Detection in Scanned Microscopic Images with Cascaded Morphological and Faster R-CNN Deep Detectors.
Proceedings of the Intelligent Computing Theories and Application, 2019

Automated Epileptic Seizure Detection Method Based on the Multi-attribute EEG Feature Pool and mRMR Feature Selection Method.
Proceedings of the Computational Science - ICCS 2019, 2019

Novel Automatic Epilepsy Detection Method Multi-weight Transition Network.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
A New Epileptic Seizure Detection Method Based on Fusion Feature of Weighted Complex Network.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

Epileptic Detection Based on EMD and Sparse Representation in Clinic EEG.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

Epileptic Seizure Detection Based on Time Domain Features and Weighted Complex Network.
Proceedings of the Intelligent Computing Theories and Application, 2018

2017
Tree-based frequent itemsets mining for analysis of life-satisfaction and loneliness of retired athletes.
Clust. Comput., 2017

Credit Risk Assessment Based on Flexible Neural Tree Model.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

A Method Using the Lempel-Ziv Complexity to Detect Ventricular Tachycardia and Fibrillation.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

An Improved Symbol Entropy Algorithm Based on EMD for Detecting VT and VF.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Detection of Epileptic Seizure in EEG Using Sparse Representation and EMD.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

The Feature Extraction Method of EEG Signals Based on Transition Network.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

A New Epileptic Seizure Detection Method Based on Degree Centrality and Linear Features.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

A Method to Detecting Ventricular Tachycardia and Ventricular Fibrillation Based on Symbol Entropy and Wavelet Analysis.
Proceedings of the Intelligent Computing Theories and Application, 2017

Learning Bayesian Networks Structure Based Part Mutual Information for Reconstructing Gene Regulatory Networks.
Proceedings of the Intelligent Computing Theories and Application, 2017

The Feature Extraction Method of EEG Signals Based on the Loop Coefficient of Transition Network.
Proceedings of the Intelligent Computing Theories and Application, 2017

A Novel Detection of Ventricular Tachycardia and Fibrillation Based on Degree Centrality of Complex Network.
Proceedings of the Intelligent Computing Theories and Application, 2017

2016
Detecting Ventricular Fibrillation and Ventricular Tachycardia for Small Samples Based on EMD and Symbol Entropy.
Proceedings of the Intelligent Computing Theories and Application, 2016

A Novel Feature Extraction Method for Epileptic Seizure Detection Based on the Degree Centrality of Complex Network and SVM.
Proceedings of the Intelligent Computing Theories and Application, 2016

2015
A Multi-valued Coarse Graining of Lempel-Ziv Complexity and SVM in ECG Signal Analysis.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Automatic Seizure Detection in EEG Based on Sparse Representation and Wavelet Transform.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

2014
Behavioral-model-based freehand tracking in a Selection-Move-Release system.
Comput. Electr. Eng., 2014

The neoteric feature extraction method of epilepsy EEG based on the vertex strength distribution of weighted complex network.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Classification of Ventricular Tachycardia and Fibrillation Based on the Lempel-Ziv Complexity and EMD.
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014

Novel feature extraction method based on weight difference of weighted network for epileptic seizure detection.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Real-time oriented behavior-driven 3D freehand tracking for direct interaction.
Pattern Recognit., 2013

Ensemble of Flexible Neural Tree and Ordinary Differential Equations for Small-time Scale Network Traffic Prediction.
J. Comput., 2013

Comparison of ictal and interictal EEG signals using Fractal Features.
Int. J. Neural Syst., 2013

Local Prediction of Network Traffic Measurements Data Based on Relevance Vector Machine.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Seizure Detection in Clinical EEG Based on Entropies and EMD.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

The Feature Extraction Method of EEG Signals Based on Degree Distribution of Complex Networks from Nonlinear Time Series.
Proceedings of the Intelligent Computing Theories - 9th International Conference, 2013

Seizure Detection in Clinical EEG Based on Multi-feature Integration and SVM.
Proceedings of the Intelligent Computing Theories and Technology, 2013

A novel direct feature-based seizure detector: Using the entropy of degree distribution of epileptic EEG signals.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013

2012
Small-time scale network traffic prediction based on flexible neural tree.
Appl. Soft Comput., 2012

2011
Time-series forecasting using a system of ordinary differential equations.
Inf. Sci., 2011

2009
Inference of Differential Equations for Modeling Chemical Reactions.
Proceedings of the Advances in Neural Networks, 2009

Small-Time Scale Network Traffic Prediction Using Complex Network Models.
Proceedings of the Fifth International Conference on Natural Computation, 2009

Inference of Differential Equation Models by Multi Expression Programming for Gene Regulatory Networks.
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009

Nonlinear Prediction of Network Traffic Measurements Data.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009


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