Ning Wang
Orcid: 0000-0002-8241-0235Affiliations:
- Zhengzhou University, Zhengzhou, Henan, China
According to our database1,
Ning Wang authored at least 13 papers
between 2022 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2026
ECG-Text multi-modal learning for zero-shot detection via time-frequency alignment and medical prompt learning.
Expert Syst. Appl., 2026
2025
Bean: A Multibranch Network for 12 Leads Electrocardiogram Multilabel Classification Based on Ensemble Learning and Attention.
IEEE Trans. Instrum. Meas., 2025
Semi-supervised multi-label cardiovascular diseases detection via contrastive learning and label inference.
Knowl. Based Syst., 2025
Dynamic weight reinforcement learning method considering multiple factors in mobile edge computing system.
Neurocomputing, 2025
Proceedings of 2025 2nd International Conference on Machine Learning and Intelligent Computing (MLIC 2025), 2025
2024
IEEE Trans. Neural Networks Learn. Syst., October, 2024
DRL-based dependent task offloading with delay-energy tradeoff in medical image edge computing.
Complex Intell. Syst., 2024
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
ECG-MAKE: An ECG signal delineation approach based on medical attribute knowledge extraction.
Inf. Sci., August, 2023
Semantic-aware alignment and label propagation for cross-domain arrhythmia classification.
Knowl. Based Syst., March, 2023
Spa-Tem MI: A Spatial-Temporal Network for Detecting and Locating Myocardial Infarction.
IEEE Trans. Instrum. Meas., 2023
2022
QT-STNet: A Spatial and Temporal Network Combined with QT Segment for MI Detection and Location.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2022
A CVD Critical Level-aware Scheduling Model Based on Reinforcement Learning for ECG Service Request.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2022