Gengjia Zhang
Orcid: 0000-0001-8479-2903
  According to our database1,
  Gengjia Zhang
  authored at least 15 papers
  between 2021 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
- 
    on orcid.org
On csauthors.net:
Bibliography
  2025
    Neurocomputing, 2025
    
  
Evaluating Time-Series Deep Learning Models for Accurate and Efficient Reconstruction of Clinical 12-Lead ECG Signals.
    
  
    IEEE Access, 2025
    
  
  2024
Reconstruction of arterial blood pressure waveforms based on squeeze-and-excitation network models using electrocardiography and photoplethysmography signals.
    
  
    Knowl. Based Syst., 2024
    
  
Development of continuous cuffless blood pressure prediction platform using enhanced 1-D SENet-LSTM.
    
  
    Expert Syst. Appl., 2024
    
  
Building an Explainable Deep Residual Network for Depression Detection from ECG Signals.
    
  
    Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
    
  
    Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
    
  
  2023
Cascade forest regression algorithm for non-invasive blood pressure estimation using PPG signals.
    
  
    Appl. Soft Comput., September, 2023
    
  
    Proceedings of the International Conference on Machine Learning and Applications, 2023
    
  
    Proceedings of the IEEE 2nd International Conference on AI in Cybersecurity, 2023
    
  
    Proceedings of the IEEE 2nd International Conference on AI in Cybersecurity, 2023
    
  
Reconstruction of ABP Waveform from the ECG or PPG Signals Using Enhanced 1-D UNetwork.
    
  
    Proceedings of the 23rd IEEE/ACIS International Conference on Computer and Information Science, 2023
    
  
    Proceedings of the 23rd IEEE/ACIS International Conference on Computer and Information Science, 2023
    
  
  2022
Machine learning Algorithm for Non-invasive Blood Pressure Estimation Using PPG Signals.
    
  
    Proceedings of the 5th IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2022
    
  
Development of a Variety of Fast Machine Learning Model for ECG-based Arrhythmia Classifier.
    
  
    Proceedings of the 5th IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2022
    
  
  2021
Mental Stress Classification Based on a Support Vector Machine and Naive Bayes Using Electrocardiogram Signals.
    
  
    Sensors, 2021