Wenhan Liu

Orcid: 0009-0000-8874-719X

According to our database1, Wenhan Liu authored at least 28 papers between 2016 and 2025.

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

Timeline

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Links

On csauthors.net:

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

How to personalize and whether to personalize? Candidate documents decide.
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

ST-ReGE: A Novel Spatial-Temporal Residual Graph Convolutional Network for CVD.
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

Mining Exploratory Queries for Conversational Search.
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

Large Language Models for Information Retrieval: A Survey.
CoRR, 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
Boost-Type Single-Stage Step-Down Resonant Power Factor Correction Converter.
IEEE Trans. Ind. Electron., 2021

Defending Label Inference and Backdoor Attacks in Vertical Federated Learning.
CoRR, 2021

2020
MFB-CBRNN: A Hybrid Network for MI Detection Using 12-Lead ECGs.
IEEE J. Biomed. Health Informatics, 2020

A Real Time QRS Detection Algorithm Based on ET and PD Controlled Threshold Strategy.
Sensors, 2020

Multi-information fusion neural networks for arrhythmia automatic detection.
Comput. Methods Programs Biomed., 2020

2019
A novel ECG signal compression method using spindle convolutional auto-encoder.
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


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