Xingyao Wang

Orcid: 0000-0002-9502-4472

Affiliations:
  • Southeast University, School of Instrument Science and Engineering, State Key Laboratory of Bioelectronics, Nanjing, China


According to our database1, Xingyao Wang authored at least 14 papers between 2019 and 2023.

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

Timeline

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Bibliography

2023
Label decoupling strategy for 12-lead ECG classification.
Knowl. Based Syst., March, 2023

SSA-ICL: Multi-domain adaptive attention with intra-dataset continual learning for Facial expression recognition.
Neural Networks, January, 2023

Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition.
CoRR, 2023

ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning.
CoRR, 2023

2022
A Multistep Paroxysmal Atrial Fibrillation Scanning Strategy in Long-Term ECGs.
IEEE Trans. Instrum. Meas., 2022

A Causal Intervention Scheme for Semantic Segmentation of Quasi-periodic Cardiovascular Signals.
CoRR, 2022

Beat-wise Uncertainty Learning for Murmur Detection in Heart Sounds.
Proceedings of the Computing in Cardiology, 2022

Adaptive Electrocardiogram Enhancement in Strong Noise Environment.
Proceedings of the Computing in Cardiology, 2022

2021
Sequence-to-Sequence Load Disaggregation Using Multiscale Residual Neural Network.
IEEE Trans. Instrum. Meas., 2021

Temporal-Framing Adaptive Network for Heart Sound Segmentation Without Prior Knowledge of State Duration.
IEEE Trans. Biomed. Eng., 2021

2020
An Open-Access Long-Term Wearable ECG Database for Premature Ventricular Contractions and Supraventricular Premature Beat Detection.
J. Medical Imaging Health Informatics, 2020

Sequence-to-Sequence Load Disaggregation Using Multi-Scale Residual Neural Network.
CoRR, 2020

2019
An Open-Access ECG Database for Algorithm Evaluation of QRS Detection and Heart Rate Estimation.
J. Medical Imaging Health Informatics, 2019

PVC Recognition for Wearable ECGs Using Modified Frequency Slice Wavelet Transform and Convolutional Neural Network.
Proceedings of the 46th Computing in Cardiology, 2019


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