Shijia Geng

Orcid: 0000-0002-9628-8808

According to our database1, Shijia Geng authored at least 21 papers between 2012 and 2025.

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Bibliography

2025
A deep learning method for beat-level risk analysis and interpretation of atrial fibrillation patients during sinus rhythm.
Biomed. Signal Process. Control., 2025

2024
Screening for severe coronary stenosis in patients with apparently normal electrocardiograms based on deep learning.
BMC Medical Informatics Decis. Mak., December, 2024

Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning.
Health Inf. Sci. Syst., December, 2024

Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Cardiac arrhythmia classification with rejection of ECG recordings based on uncertainty estimation from deep neural networks.
Neural Comput. Appl., 2024

Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series: A UK Biobank Study.
CoRR, 2024

A Review of Deep Learning Methods for Photoplethysmography Data.
CoRR, 2024

CardioDefense: Defending against adversarial attack in ECG classification with adversarial distillation training.
Biomed. Signal Process. Control., 2024

2023
Artificial Intelligence System for Detection and Screening of Cardiac Abnormalities using Electrocardiogram Images.
CoRR, 2023

A simple self-supervised ECG representation learning method via manipulated temporal-spatial reverse detection.
Biomed. Signal Process. Control., 2023

Less is More: Reducing Overfitting in Deep Learning for EEG Classification.
Proceedings of the Computing in Cardiology, 2023

2022
Estimating critical values from electrocardiogram using a deep ordinal convolutional neural network.
BMC Medical Informatics Decis. Mak., 2022

Cross Reconstruction Transformer for Self-Supervised Time Series Representation Learning.
CoRR, 2022

Defending Against Adversarial Attack in ECG Classification with Adversarial Distillation Training.
CoRR, 2022

A Deep Bayesian Neural Network for Cardiac Arrhythmia Classification with Rejection from ECG Recordings.
CoRR, 2022

Learning ECG Representations based on Manipulated Temporal-Spatial Reverse Detection.
CoRR, 2022

MetaVA: Curriculum Meta-learning and Pre-fine-tuning of Deep Neural Networks for Detecting Ventricular Arrhythmias based on ECGs.
CoRR, 2022

Building and training a deep spiking neural network for ECG classification.
Biomed. Signal Process. Control., 2022

2017
Transforming Musical Signals through a Genre Classifying Convolutional Neural Network.
CoRR, 2017

2013
Feature extraction and unsupervised classification of neural population reward signals for reinforcement based BMI.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Brain-machine interface control of a robot arm using actor-critic rainforcement learning.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012


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