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ORCIDXiaoyang Wei 0001
Person information
- affiliation: Shanghai Jiao Tong University, State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, China
Other persons with the same name
- Xiaoyang Wei — disambiguation page
- Xiaoyang Wei 0002
![[0000-0002-6739-4521]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6739-4521")
— Beijing Normal University, School of Educational Technology, Faculty of Education, China - Xiaoyang Wei 0003 — Agency for Science, Technology and Research (A*STAR), Institute of High Performance Computing (IHPC), Singapore (and 1 more)
- Xiaoyang Wei 0004 — Paris Cité University, Laboratoire d'Informatique Paris Descartes (LIPADE), France
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2020 – today
- 2026
[j10]Yanrui Jin, Mengxiao Wang, Zhiyuan Li, Yuanyuan Tian, Xiaoyang Wei, Chengliang Liu, Liqun Zhao:
Unsupervised artificial intelligence model of arrhythmia diagnosis: Improving model performance on different ECG datasets. Biomed. Signal Process. Control. 112: 108693 (2026)- [j9]Xiaoyang Wei, Zhiyuan Li, Yuanyuan Tian, Mengxiao Wang, Yanrui Jin, Weiping Ding, Chengliang Liu:
Spatial-temporal hierarchical decoupled masked autoencoder: A self-supervised learning framework for electrocardiogram. Expert Syst. Appl. 298: 129603 (2026) - 2025
- [j8]Mengxiao Wang, Yuanyuan Tian, Zhiyuan Li, Xiaoyang Wei, Yanrui Jin, Chengliang Liu, Liqun Zhao:
Multi-task learning for multi-label electrocardiogram disease detection via point-level delineation-guided fusion. Eng. Appl. Artif. Intell. 160: 111894 (2025) - [j7]Mengxiao Wang, Zhiyuan Li, Yuanyuan Tian, Xiaoyang Wei, Yanrui Jin, Chengliang Liu:
BioCross: A cross-modal framework for unified representation of multi-modal biosignals with heterogeneous metadata fusion. Inf. Fusion 123: 103302 (2025) - [j6]Zhiyuan Li, Yuanyuan Tian, Yanrui Jin, Xiaoyang Wei, Mengxiao Wang, Jinlei Liu, Liqun Zhao, Chengliang Liu:
An early warning method for arrhythmias in long-term ECGs based on self-supervised learning and LSTM. Knowl. Based Syst. 327: 114137 (2025) - [j5]Zhiyuan Li, Yuanyuan Tian, Yanrui Jin, Xiaoyang Wei, Mengxiao Wang, Jinlei Liu, Chengliang Liu:
EDDM: A Novel ECG Denoising Method Using Dual-Path Diffusion Model. IEEE Trans. Instrum. Meas. 74: 1-15 (2025) - 2024
- [j4]Yanrui Jin, Zhiyuan Li, Yuanyuan Tian, Xiaoyang Wei, Chengliang Liu:
A self-supervised framework for computer-aided arrhythmia diagnosis. Appl. Soft Comput. 164: 112024 (2024) - [j3]Xiaoyang Wei, Zhiyuan Li, Yanrui Jin, Yuanyuan Tian, Mengxiao Wang, Liqun Zhao, Chengliang Liu:
Automatic multi-label diagnosis of single-lead ECG using novel hybrid residual recurrent convolutional neural networks. Biomed. Signal Process. Control. 95: 106422 (2024) - [j2]Xiaoyang Wei, Zhiyuan Li, Yuanyuan Tian, Mengxiao Wang, Jinlei Liu, Yanrui Jin, Weiping Ding, Chengliang Liu:
Differentiated knowledge distillation: Patient-specific single-sample personalization for electrocardiogram diagnostic models. Eng. Appl. Artif. Intell. 136: 108880 (2024) - [j1]Zhiyuan Li, Yanrui Jin, Yuanyuan Tian, Jinlei Liu, Mengxiao Wang, Xiaoyang Wei, Liqun Zhao, Chengliang Liu:
M-XAF: Medical explainable diagnosis system of atrial fibrillation based on medical knowledge and semantic representation fusion. Eng. Appl. Artif. Intell. 136: 108890 (2024) - 2023
- [c5]Zhiyuan Li, Yuanyuan Tian, Yanrui Jin, Xiaoyang Wei, Mengxiao Wang, Chengliang Liu, Liqun Zhao, Xiaoxue Yang:
A Novel Personalized Incremental Arrhythmias Classification Method for ECG Monitoring. FSDM 2023: 877-883 - [c4]Yanrui Jin, Zhiyuan Li, Yuanyuan Tian, Mengxiao Wang, Xiaoyang Wei, Chengliang Liu, Xiaoxue Yang:
ECG Quality Assessment Framework by Using Attentional Convolution Neural Network. FSDM 2023: 891-897 - [c3]Yuanyuan Tian, Xiaoyang Wei, Zhiyuan Li, Yanrui Jin, Mengxiao Wang, Liqun Zhao, Xiaoxue Yang, Chengliang Liu:
Evaluate the Correlation Between Electrocardiogram Age and Cardiovascular Disease Using a 12-lead ECG Dataset. FSDM 2023: 905-911 - [c2]Mengxiao Wang, Yanrui Jin, Zhiyuan Li, Xiaoyang Wei, Chengliang Liu, Xiaoxue Yang:
Interpretable Deep Learning Model for Identifying the Immediate Risk of Myocardial Infarction Complications. FSDM 2023: 918-924 - [c1]Xiaoyang Wei, Mengxiao Wang, Yanrui Jin, Zhiyuan Li, Yuanyuan Tian, Chengliang Liu:
An Interpretable Residual Neural Network for the Diagnosis of Myocardial Infarction. FSDM 2023: 938-943
Coauthor Index
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