Yanan Wang

Orcid: 0000-0001-5599-3423

Affiliations:
  • Fudan University, Department of Biomedical Engineering, School of Information Science and Technology, Shanghai, China


According to our database1, Yanan Wang authored at least 11 papers between 2022 and 2025.

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

Timeline

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Bibliography

2025
IPCT-Net: Parallel information bottleneck modality fusion network for obstructive sleep apnea diagnosis.
Neural Networks, 2025

PULSE: A personalized physiological signal analysis framework via unsupervised domain adaptation and self-adaptive learning.
Expert Syst. Appl., 2025

LEAF-Net: A real-time fine-grained quality assessment system for physiological signals using lightweight evolutionary attention fusion.
Expert Syst. Appl., 2025

2024
A multi-module algorithm for heartbeat classification based on unsupervised learning and adaptive feature transfer.
Comput. Biol. Medicine, March, 2024

A Lightweight Hybrid Model Using Multiscale Markov Transition Field for Real-Time Quality Assessment of Photoplethysmography Signals.
IEEE J. Biomed. Health Informatics, February, 2024

Amplitude-Phase Fusion for Enhanced Electrocardiogram Morphological Analysis.
CoRR, 2024

Personalized blood pressure estimation using multiview fusion information of wearable physiological signals and transfer learning.
Appl. Soft Comput., 2024

2023
Semi-Supervised Learning for Low-Cost Personalized Obstructive Sleep Apnea Detection Using Unsupervised Deep Learning and Single-Lead Electrocardiogram.
IEEE J. Biomed. Health Informatics, November, 2023

Interpatient Heartbeat Classification Using Modified Residual Attention Network With Two-Phase Training and Assistant Decision.
IEEE Trans. Instrum. Meas., 2023

Personalized Transfer Learning for Single-Lead ECG-Based Sleep Apnea Detection: Exploring the Label Mapping Length and Transfer Strategy Using Hybrid Transformer Model.
IEEE Trans. Instrum. Meas., 2023

2022
Intelligent Detection of Hypokalemia Based on 12-Lead ECG Using Two-stream Deep Learning Model.
Proceedings of the 15th International Congress on Image and Signal Processing, 2022


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