Mengxiao Wang

Orcid: 0000-0002-4979-0723

According to our database1, Mengxiao Wang authored at least 27 papers between 2002 and 2026.

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

Timeline

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Links

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Bibliography

2026
Spatial-temporal hierarchical decoupled masked autoencoder: A self-supervised learning framework for electrocardiogram.
Expert Syst. Appl., 2026

Unsupervised artificial intelligence model of arrhythmia diagnosis: Improving model performance on different ECG datasets.
Biomed. Signal Process. Control., 2026

2025
Demystifying Progressive Web Application Permission Systems.
CoRR, September, 2025

GuardianPWA: Enhancing Security Throughout the Progressive Web App Installation Lifecycle.
CoRR, September, 2025

PromptSleuth: Detecting Prompt Injection via Semantic Intent Invariance.
CoRR, August, 2025

EDDM: A Novel ECG Denoising Method Using Dual-Path Diffusion Model.
IEEE Trans. Instrum. Meas., 2025

An early warning method for arrhythmias in long-term ECGs based on self-supervised learning and LSTM.
Knowl. Based Syst., 2025

BioCross: A cross-modal framework for unified representation of multi-modal biosignals with heterogeneous metadata fusion.
Inf. Fusion, 2025

Multi-task learning for multi-label electrocardiogram disease detection via point-level delineation-guided fusion.
Eng. Appl. Artif. Intell., 2025

Beyond Visual Confusion: Understanding How Inconsistencies in ENS Normalization Facilitate Homoglyph Attacks.
Proceedings of the ACM on Web Conference 2025, 2025

2024
Lightweight Optimization of Deep Learning Models for Accurate Arrhythmia Detection in Clinical 12-Lead ECG Data.
IEEE Trans. Instrum. Meas., 2024

Differentiated knowledge distillation: Patient-specific single-sample personalization for electrocardiogram diagnostic models.
Eng. Appl. Artif. Intell., 2024

M-XAF: Medical explainable diagnosis system of atrial fibrillation based on medical knowledge and semantic representation fusion.
Eng. Appl. Artif. Intell., 2024

Automatic multi-label diagnosis of single-lead ECG using novel hybrid residual recurrent convolutional neural networks.
Biomed. Signal Process. Control., 2024

Electrical Impedance Spectroscopy Based Preterm Birth Prediction with Machine Learning.
Proceedings of the Artificial Intelligence in Healthcare - First International Conference, 2024

2023
test data for Cardiologist-level interpretable knowledge-fused deep neural network for automatic arrhythmia diagnosis.
Dataset, November, 2023

Detecting Ethereum Ponzi Schemes Through Opcode Context Analysis and Oversampling-Based AdaBoost Algorithm.
Comput. Syst. Sci. Eng., 2023

An Interpretable Residual Neural Network for the Diagnosis of Myocardial Infarction.
Proceedings of the Fuzzy Systems and Data Mining IX, 2023

Interpretable Deep Learning Model for Identifying the Immediate Risk of Myocardial Infarction Complications.
Proceedings of the Fuzzy Systems and Data Mining IX, 2023

Evaluate the Correlation Between Electrocardiogram Age and Cardiovascular Disease Using a 12-lead ECG Dataset.
Proceedings of the Fuzzy Systems and Data Mining IX, 2023

A Novel Personalized Incremental Arrhythmias Classification Method for ECG Monitoring.
Proceedings of the Fuzzy Systems and Data Mining IX, 2023

ECG Quality Assessment Framework by Using Attentional Convolution Neural Network.
Proceedings of the Fuzzy Systems and Data Mining IX, 2023

2022
3D coronary artery elastic registration based on differential invariant signatures.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022

2019
Analysis on the Business Model of Fresh E-commerce - Taking Hema Supermarket as an Example.
Proceedings of the 18th Wuhan International Conference on E-Business, 2019

Load-aware Elastic Data Reduction and Re-computation for Adaptive Mesh Refinement.
Proceedings of the 2019 IEEE International Conference on Networking, 2019

2009
Study on the NN Decoupling Control System of Air-cushioned Headbox.
Comput. Inf. Sci., 2009

2002
A novel Smith predictor with double-controller structure.
Proceedings of the American Control Conference, 2002


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