Panpan Feng

Orcid: 0000-0002-7820-4439

According to our database1, Panpan Feng authored at least 12 papers between 2016 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Semi-supervised multi-label cardiovascular diseases detection via contrastive learning and label inference.
Knowl. Based Syst., 2025

Towards Online Spatio-Temporal Prediction: A Knowledge Distillation Driven Continual Learning Approach.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024
Adversarial Spatiotemporal Contrastive Learning for Electrocardiogram Signals.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

A Multi-Resolution Mutual Learning Network for Multi-Label ECG Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

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
Unsupervised semantic-aware adaptive feature fusion network for arrhythmia detection.
Inf. Sci., 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

2021
Multi-label correlation guided feature fusion network for abnormal ECG diagnosis.
Knowl. Based Syst., 2021

Comparative Analysis of the Role of X-ray and CT Three-Dimensional Reconstruction Imaging Technology in Fracture Classification and Stability Evaluation.
J. Medical Imaging Health Informatics, 2021

2016
A computational model of topological and geometric recovery for visual curve completion.
Comput. Vis. Media, 2016


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