Hongpo Zhang

Orcid: 0000-0003-3485-8470

According to our database1, Hongpo Zhang authored at least 15 papers between 2017 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
An atrial fibrillation classification method based on an outlier data filtering strategy and modified residual block of the feature pyramid network.
Biomed. Signal Process. Control., 2024

2023
An Efficient Two-Stage Network Intrusion Detection System in the Internet of Things.
Inf., February, 2023

2022
Con&Net: A Cross-Network Anchor Link Discovery Method Based on Embedding Representation.
ACM Trans. Knowl. Discov. Data, 2022

An Effective Ensemble Automatic Feature Selection Method for Network Intrusion Detection.
Inf., 2022

An Effective Atrial Fibrillation Detection from Short Single-Lead Electrocardiogram Recordings Using MCNN-BLSTM Network.
Algorithms, 2022

2021
Data sanitization against label flipping attacks using AdaBoost-based semi-supervised learning technology.
Soft Comput., 2021

An effective feature extraction method based on GDS for atrial fibrillation detection.
J. Biomed. Informatics, 2021

TP-CNN: A Detection Method for atrial fibrillation based on transposed projection signals with compressed sensed ECG.
Comput. Methods Programs Biomed., 2021

Identification of Arrhythmia by Using a Decision Tree and Gated Network Fusion Model.
Comput. Math. Methods Medicine, 2021

CSNet: A deep learning approach for ECG compressed sensing.
Biomed. Signal Process. Control., 2021

Label flipping attacks against Naive Bayes on spam filtering systems.
Appl. Intell., 2021

2020
An effective convolutional neural network based on SMOTE and Gaussian mixture model for intrusion detection in imbalanced dataset.
Comput. Networks, 2020

2019
ELPKG: A High-Accuracy Link Prediction Approach for Knowledge Graph Completion.
Symmetry, 2019

2018
An Effective Deep Learning Based Scheme for Network Intrusion Detection.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Respiratory Sounds Feature Learning with Deep Convolutional Neural Networks.
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017


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