Wenhan Liu
Orcid: 0009-0000-8874-719X
According to our database1,
Wenhan Liu
authored at least 28 papers
between 2016 and 2025.
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Bibliography
2025
Lead-fusion Barlow twins: A fused self-supervised learning method for multi-lead electrocardiograms.
Inf. Fusion, 2025
2024
Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning.
IEEE Trans. Big Data, December, 2024
Knowl. Inf. Syst., September, 2024
SIGxCL: A Signal-Image-Graph Cross-Modal Contrastive Learning Framework for CVD Diagnosis Based on Internet of Medical Things.
IEEE Internet Things J., April, 2024
IEEE J. Biomed. Health Informatics, January, 2024
Learning Representations for Multilead Electrocardiograms From Morphology-Rhythm Contrast.
IEEE Trans. Instrum. Meas., 2024
Honest-GE: 2-step heuristic optimization and node-level embedding empower spatial-temporal graph model for ECG.
Inf. Sci., 2024
An adaptive threshold-based semi-supervised learning method for cardiovascular disease detection.
Inf. Sci., 2024
DDDG: A dual bi-directional knowledge distillation method with generative self-supervised pre-training and its hardware implementation on SoC for ECG.
Expert Syst. Appl., 2024
DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task.
CoRR, 2024
CPSS: Fusing consistency regularization and pseudo-labeling techniques for semi-supervised deep cardiovascular disease detection using all unlabeled electrocardiograms.
Comput. Methods Programs Biomed., 2024
Bootstrap each lead's latent: A novel method for self-supervised learning of multilead electrocardiograms.
Comput. Methods Programs Biomed., 2024
Universal 12-lead ECG representation for signal denoising and cardiovascular disease detection by fusing generative and contrastive learning.
Biomed. Signal Process. Control., 2024
Proceedings of the ACM on Web Conference 2024, 2024
2023
Dense lead contrast for self-supervised representation learning of multilead electrocardiograms.
Inf. Sci., July, 2023
MaeFE: Masked Autoencoders Family of Electrocardiogram for Self-Supervised Pretraining and Transfer Learning.
IEEE Trans. Instrum. Meas., 2023
A joint cross-dimensional contrastive learning framework for 12-lead ECGs and its heterogeneous deployment on SoC.
Comput. Biol. Medicine, 2023
2022
Lead Separation and Combination: A Novel Unsupervised 12-Lead ECG Feature Learning Framework for Internet of Medical Things.
IEEE Internet Things J., 2022
2021
IEEE Trans. Ind. Electron., 2021
CoRR, 2021
2020
IEEE J. Biomed. Health Informatics, 2020
A Real Time QRS Detection Algorithm Based on ET and PD Controlled Threshold Strategy.
Sensors, 2020
Comput. Methods Programs Biomed., 2020
2019
Comput. Methods Programs Biomed., 2019
2018
Real-Time Multilead Convolutional Neural Network for Myocardial Infarction Detection.
IEEE J. Biomed. Health Informatics, 2018
Multiple-feature-branch convolutional neural network for myocardial infarction diagnosis using electrocardiogram.
Biomed. Signal Process. Control., 2018
2016
Based on the character of cloud storage string encryption and cipher text retrieval of string research.
Proceedings of the 4th International Conference on Cloud Computing and Intelligence Systems, 2016