Xiaoyu Li

Affiliations:
  • OPPO Health Lab, Shenzhen, China
  • Xi'an Jiaotong University, School of Electronic and Information Engineering, Xi'an, China


According to our database1, Xiaoyu Li authored at least 14 papers between 2017 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
Longitudinal Wrist PPG Analysis for Reliable Hypertension Risk Screening Using Deep Learning.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Continuous Blood Pressure Monitoring and Hypertension Risk Screening Using Smart Watch.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Risk-prediction model for incident hypertension in patients with obstructive sleep apnea based on SpO2 signals.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2021
Learning to Reweight Samples with Offline Loss Sequence.
Proceedings of the IEEE International Conference on Data Mining, 2021

BaT: Beat-aligned Transformer for Electrocardiogram Classification.
Proceedings of the IEEE International Conference on Data Mining, 2021

Towards Generalization of Cardiac Abnormality Classification Using ECG Signal.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2019
An Interpretable Fast Model for Predicting The Risk of Heart Failure.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Classifying Breast Cancer Histopathological Images Using a Robust Artificial Neural Network Architecture.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019

Automatic Generation of Medical Imaging Diagnostic Report with Hierarchical Recurrent Neural Network.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Classify EEG and Reveal Latent Graph Structure with Spatio-Temporal Graph Convolutional Neural Network.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Domain Knowledge Guided Deep Atrial Fibrillation Classification and Its Visual Interpretation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2017
Deep Similarity-Based Batch Mode Active Learning with Exploration-Exploitation.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Knowledge Guided Short-Text Classification for Healthcare Applications.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017


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