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Liqun Zhao
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Publications
- 2026
[j27]Yanrui Jin, Mengxiao Wang, Zhiyuan Li, Yuanyuan Tian, Xiaoyang Wei, Chengliang Liu, Liqun Zhao:
Unsupervised artificial intelligence model of arrhythmia diagnosis: Improving model performance on different ECG datasets. Biomed. Signal Process. Control. 112: 108693 (2026)- 2025
[j26]Mengxiao Wang, Yuanyuan Tian, Zhiyuan Li, Xiaoyang Wei, Yanrui Jin, Chengliang Liu, Liqun Zhao:
Multi-task learning for multi-label electrocardiogram disease detection via point-level delineation-guided fusion. Eng. Appl. Artif. Intell. 160: 111894 (2025)
[j23]Zhiyuan Li, Yuanyuan Tian, Yanrui Jin
, Xiaoyang Wei, Mengxiao Wang, Jinlei Liu, Liqun Zhao, Chengliang Liu:
An early warning method for arrhythmias in long-term ECGs based on self-supervised learning and LSTM. Knowl. Based Syst. 327: 114137 (2025)- 2024
[j22]Yunqing Liu
, Jinlei Liu, Yuanyuan Tian
, Yanrui Jin, Zhiyuan Li
, Liqun Zhao, Chengliang Liu:
Pruned lightweight neural networks for arrhythmia classification with clinical 12-Lead ECGs. Appl. Soft Comput. 154: 111340 (2024)
[j21]Xiaoyang Wei
, Zhiyuan Li, Yanrui Jin, Yuanyuan Tian, Mengxiao Wang
, Liqun Zhao, Chengliang Liu:
Automatic multi-label diagnosis of single-lead ECG using novel hybrid residual recurrent convolutional neural networks. Biomed. Signal Process. Control. 95: 106422 (2024)
[j20]Zhiyuan Li
, Yanrui Jin, Yuanyuan Tian
, Jinlei Liu, Mengxiao Wang
, Xiaoyang Wei
, Liqun Zhao, Chengliang Liu:
M-XAF: Medical explainable diagnosis system of atrial fibrillation based on medical knowledge and semantic representation fusion. Eng. Appl. Artif. Intell. 136: 108890 (2024)
[j19]Yunqing Liu
, Chengjin Qin
, Yuanyuan Tian
, Mengxiao Wang
, Jinlei Liu
, Yanrui Jin
, Zhiyuan Li
, Liqun Zhao
, Chengliang Liu
:
Lightweight Optimization of Deep Learning Models for Accurate Arrhythmia Detection in Clinical 12-Lead ECG Data. IEEE Trans. Instrum. Meas. 73: 1-17 (2024)- 2023
[j18]Yunqing Liu
, Jinlei Liu, Chengjin Qin, Yanrui Jin, Zhiyuan Li
, Liqun Zhao, Chengliang Liu:
A deep learning-based acute coronary syndrome-related disease classification method: a cohort study for network interpretability and transfer learning. Appl. Intell. 53(21): 25562-25580 (2023)
[j17]Yanrui Jin, Zhiyuan Li
, Chengjin Qin, Jinlei Liu, Yunqing Liu
, Liqun Zhao, Chengliang Liu:
A novel attentional deep neural network-based assessment method for ECG quality. Biomed. Signal Process. Control. 79(Part): 104064 (2023)
[c8]Zhiyuan Li, Yuanyuan Tian, Yanrui Jin, Xiaoyang Wei
, Mengxiao Wang
, Chengliang Liu, Liqun Zhao, Xiaoxue Yang:
A Novel Personalized Incremental Arrhythmias Classification Method for ECG Monitoring. FSDM 2023: 877-883
[c7]Yuanyuan Tian
, Xiaoyang Wei
, Zhiyuan Li, Yanrui Jin, Mengxiao Wang
, Liqun Zhao, Xiaoxue Yang, Chengliang Liu:
Evaluate the Correlation Between Electrocardiogram Age and Cardiovascular Disease Using a 12-lead ECG Dataset. FSDM 2023: 905-911- 2022
[j16]Jinlei Liu, Yanrui Jin, Yunqing Liu
, Zhiyuan Li
, Chengjin Qin, Xiaojun Chen, Liqun Zhao, Chengliang Liu:
A novel P-QRS-T wave localization method in ECG signals based on hybrid neural networks. Comput. Biol. Medicine 150: 106110 (2022)
[j13]Yanrui Jin
, Jinlei Liu
, Yunqing Liu
, Chengjin Qin
, Zhiyuan Li
, Dengyu Xiao
, Liqun Zhao
, Chengliang Liu
:
A Novel Interpretable Method Based on Dual-Level Attentional Deep Neural Network for Actual Multilabel Arrhythmia Detection. IEEE Trans. Instrum. Meas. 71: 1-11 (2022)- 2021
[j12]Yunqing Liu
, Yanrui Jin, Jinlei Liu, Chengjin Qin, Ke Lin, Haotian Shi, Jianfeng Tao, Liqun Zhao, Chengliang Liu:
Precise and efficient heartbeat classification using a novel lightweight-modified method. Biomed. Signal Process. Control. 68: 102771 (2021)- 2020
[j11]Haoren Wang, Haotian Shi
, Ke Lin
, Chengjin Qin
, Liqun Zhao, Yixiang Huang, Chengliang Liu:
A high-precision arrhythmia classification method based on dual fully connected neural network. Biomed. Signal Process. Control. 58: 101874 (2020)
[j10]Haotian Shi, Haoren Wang, Chengjin Qin
, Liqun Zhao, Chengliang Liu:
An incremental learning system for atrial fibrillation detection based on transfer learning and active learning. Comput. Methods Programs Biomed. 187: 105219 (2020)
[j9]Haoren Wang, Haotian Shi, Xiaojun Chen
, Liqun Zhao, Yixiang Huang, Chengliang Liu:
A High Precision Real-time Premature Ventricular Contraction Assessment Method based on the Complex Feature Set. J. Medical Syst. 44(1): 3:1-3:16 (2020)
[j8]Haoren Wang, Haotian Shi, Xiaojun Chen
, Liqun Zhao, Yixiang Huang, Chengliang Liu:
An Improved Convolutional Neural Network Based Approach for Automated Heartbeat Classification. J. Medical Syst. 44(2): 35 (2020)
[j7]Haotian Shi, Chengjin Qin
, Dengyu Xiao, Liqun Zhao, Chengliang Liu:
Automated heartbeat classification based on deep neural network with multiple input layers. Knowl. Based Syst. 188 (2020)- 2019
[j6]Haotian Shi
, Haoren Wang, Fei Zhang, Yixiang Huang, Liqun Zhao, Chengliang Liu:
Inter-patient heartbeat classification based on region feature extraction and ensemble classifier. Biomed. Signal Process. Control. 51: 97-105 (2019)
[j5]Haotian Shi
, Haoren Wang, Yixiang Huang
, Liqun Zhao, Chengjin Qin
, Chengliang Liu:
A hierarchical method based on weighted extreme gradient boosting in ECG heartbeat classification. Comput. Methods Programs Biomed. 171: 1-10 (2019)
[c6]Haotian Shi, Haoren Wang, Yanrui Jin, Liqun Zhao, Chengliang Liu:
Automated Heartbeat Classification Based on Convolutional Neural Network with Multiple Kernel Sizes. BigDataService 2019: 311-315
[c5]Haoren Wang, Haotian Shi, Ke Lin
, Liqun Zhao, Chengliang Liu:
A High-Precise Arrhythmia Detection Method Based on Biorthogonal Wavelet and Fully Connected Neural Network. BigDataService 2019: 316-321

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last updated on 2025-10-31 01:09 CET by the dblp team
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