Wenhan Liu

According to our database, Wenhan Liu authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SIGxCL: A Signal-Image-Graph Cross-Modal Contrastive Learning Framework for CVD Diagnosis Based on Internet of Medical Things.

Huaicheng Zhang, Wenhan Liu, Zhoutong Li, Jiguang Shi, Sheng Chang, Hao Wang, Jin He, Qijun Huang

IEEE Internet Things J., April, 2024

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

Huaicheng Zhang, Wenhan Liu, Sheng Chang, Hao Wang, Jin He, Qijun Huang

IEEE J. Biomed. Health Informatics, January, 2024

Learning Representations for Multilead Electrocardiograms From Morphology-Rhythm Contrast.

Wenhan Liu, Huaicheng Zhang, Sheng Chang, Hao Wang, Jin He, Qijun Huang

IEEE Trans. Instrum. Meas., 2024

2023

Dense lead contrast for self-supervised representation learning of multilead electrocardiograms.

Wenhan Liu, Zhoutong Li, Huaicheng Zhang, Sheng Chang, Hao Wang, Jin He, Qijun Huang

Inf. Sci., July, 2023

MaeFE: Masked Autoencoders Family of Electrocardiogram for Self-Supervised Pretraining and Transfer Learning.

Huaicheng Zhang, Wenhan Liu, Jiguang Shi, Sheng Chang, Hao Wang, Jin He, Qijun Huang

IEEE Trans. Instrum. Meas., 2023

Large Language Models for Information Retrieval: A Survey.

Yutao Zhu, Huaying Yuan, Shuting Wang, Jiongnan Liu, Wenhan Liu, Chenlong Deng, Zhicheng Dou, Ji-Rong Wen

CoRR, 2023

A joint cross-dimensional contrastive learning framework for 12-lead ECGs and its heterogeneous deployment on SoC.

Wenhan Liu, Huaicheng Zhang, Sheng Chang, Hao Wang, Jin He, Qijun Huang

Comput. Biol. Medicine, 2023

2022

Lead Separation and Combination: A Novel Unsupervised 12-Lead ECG Feature Learning Framework for Internet of Medical Things.

Wenhan Liu, Qianxi Guo, Xinwei Gao, Sheng Chang, Hao Wang, Jin He, Qijun Huang

IEEE Internet Things J., 2022

2021

Boost-Type Single-Stage Step-Down Resonant Power Factor Correction Converter.

Xueshan Liu, Wenhan Liu, Mingzhi He, Wei Wang, Qun Zhou, Jianping Xu

IEEE Trans. Ind. Electron., 2021

Defending Label Inference and Backdoor Attacks in Vertical Federated Learning.

Yang Liu, Zhihao Yi, Yan Kang, Yuanqin He, Wenhan Liu, Tianyuan Zou, Qiang Yang

CoRR, 2021

2020

MFB-CBRNN: A Hybrid Network for MI Detection Using 12-Lead ECGs.

Wenhan Liu, Fei Wang, Qijun Huang, Sheng Chang, Hao Wang, Jin He

IEEE J. Biomed. Health Informatics, 2020

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

Aiyun Chen, Yidan Zhang, Mengxin Zhang, Wenhan Liu, Sheng Chang, Hao Wang, Jin He, Qijun Huang

Sensors, 2020

Multi-information fusion neural networks for arrhythmia automatic detection.

Aiyun Chen, Fei Wang, Wenhan Liu, Sheng Chang, Hao Wang, Jin He, Qijun Huang

Comput. Methods Programs Biomed., 2020

2019

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

Fei Wang, Qiming Ma, Wenhan Liu, Sheng Chang, Hao Wang, Jin He, Qijun Huang

Comput. Methods Programs Biomed., 2019

2018

Real-Time Multilead Convolutional Neural Network for Myocardial Infarction Detection.

Wenhan Liu, Mengxin Zhang, Yidan Zhang, Yuan Liao, Qijun Huang, Sheng Chang, Hao Wang, Jin He

IEEE J. Biomed. Health Informatics, 2018

Multiple-feature-branch convolutional neural network for myocardial infarction diagnosis using electrocardiogram.

Wenhan Liu, Qijun Huang, Sheng Chang, Hao Wang, Jin He

Biomed. Signal Process. Control., 2018

2016

Based on the character of cloud storage string encryption and cipher text retrieval of string research.

Hongliang Zhu, Wenhan Liu, Jing Wang, Yang Xin

Proceedings of the 4th International Conference on Cloud Computing and Intelligence Systems, 2016