Automated Heartbeat Classification Based on Convolutional Neural Network with Multiple Kernel Sizes. - Haotian Shi; Haoren Wang; Yanrui Jin; Liqun Zhao; Chengliang Liu 001 (BigDataService, 2019)

Multi-domain modeling of atrial fibrillation detection with twin attentional convolutional long short-term memory neural networks. - Yanrui Jin; Chengjin Qin; Yixiang Huang; Wenyi Zhao; Chengliang Liu 001 (Knowl. Based Syst., 2020)

A novel Domain Adaptive Residual Network for automatic Atrial Fibrillation Detection. - Yanrui Jin; Chengjin Qin; Jinlei Liu; Ke Lin 001; Haotian Shi; Yixiang Huang; Chengliang Liu 001 (Knowl. Based Syst., 2020)

Precise and efficient heartbeat classification using a novel lightweight-modified method. - Yunqing Liu; Yanrui Jin; Jinlei Liu; Chengjin Qin; Ke Lin 001; Haotian Shi; Jianfeng Tao; Liqun Zhao; Chengliang Liu 001 (Biomed. Signal Process. Control., 2021)

Deep domain adversarial residual neural network for sustainable wind turbine cyber-physical system fault diagnosis. - Yanrui Jin; Qiang Feng; Xiping Zhang; Peili Lu; Jiaqi Shen; Yihui Tu; Zhiquan Wu (Softw. Pract. Exp., 2021)

A Novel Incremental and Interactive Method for Actual Heartbeat Classification With Limited Additional Labeled Samples. - Yanrui Jin; Chengjin Qin; Jinlei Liu; Zhiyuan Li; Haotian Shi; Ke Lin 001; Yunqing Liu; Chengliang Liu 001 (IEEE Trans. Instrum. Meas., 2021)

A novel P-QRS-T wave localization method in ECG signals based on hybrid neural networks. - Jinlei Liu; Yanrui Jin; Yunqing Liu; Zhiyuan Li; Chengjin Qin; Xiaojun Chen 003; Liqun Zhao; Chengliang Liu 001 (Comput. Biol. Medicine, 2022)

An efficient neural network-based method for patient-specific information involved arrhythmia detection. - Yunqing Liu; Chengjin Qin; Jinlei Liu; Yanrui Jin; Zhiyuan Li; Chengliang Liu 001 (Knowl. Based Syst., 2022)

A Novel Interpretable Method Based on Dual-Level Attentional Deep Neural Network for Actual Multilabel Arrhythmia Detection. - Yanrui Jin; Jinlei Liu; Yunqing Liu; Chengjin Qin; Zhiyuan Li; Dengyu Xiao; Liqun Zhao; Chengliang Liu 001 (IEEE Trans. Instrum. Meas., 2022)

ECG Quality Assessment Framework by Using Attentional Convolution Neural Network. - Yanrui Jin; Zhiyuan Li; Yuanyuan Tian 003; Mengxiao Wang; Xiaoyang Wei; Chengliang Liu 001; Xiaoxue Yang (FSDM, 2023)

A Novel Personalized Incremental Arrhythmias Classification Method for ECG Monitoring. - Zhiyuan Li; Yuanyuan Tian 003; Yanrui Jin; Xiaoyang Wei; Mengxiao Wang; Chengliang Liu 001; Liqun Zhao; Xiaoxue Yang (FSDM, 2023)

Evaluate the Correlation Between Electrocardiogram Age and Cardiovascular Disease Using a 12-lead ECG Dataset. - Yuanyuan Tian 003; Xiaoyang Wei; Zhiyuan Li; Yanrui Jin; Mengxiao Wang; Liqun Zhao; Xiaoxue Yang; Chenliang Liu (FSDM, 2023)

Interpretable Deep Learning Model for Identifying the Immediate Risk of Myocardial Infarction Complications. - Mengxiao Wang; Yanrui Jin; Zhiyuan Li; Xiaoyang Wei; Chengliang Liu 001; Xiaoxue Yang (FSDM, 2023)

An Interpretable Residual Neural Network for the Diagnosis of Myocardial Infarction. - Xiaoyang Wei; Mengxiao Wang; Yanrui Jin; Zhiyuan Li; Yuanyuan Tian 003; Chengliang Liu 001 (FSDM, 2023)

A novel attentional deep neural network-based assessment method for ECG quality. - Yanrui Jin; Zhiyuan Li; Chengjin Qin; Jinlei Liu; Yunqing Liu; Liqun Zhao; Chengliang Liu 001 (Biomed. Signal Process. Control., 2023)

Anti-noise diesel engine misfire diagnosis using a multi-scale CNN-LSTM neural network with denoising module. - Chengjin Qin; Yanrui Jin; Zhinan Zhang; Honggan Yu; Jianfeng Tao; Hao Sun; Chengliang Liu 001 (CAAI Trans. Intell. Technol., 2023)

test data for Cardiologist-level interpretable knowledge-fused deep neural network for automatic arrhythmia diagnosis. - Yanrui Jin; Zhiyuan Lee; Mengxiao Wang (Zenodo, 2023)

A deep learning-based acute coronary syndrome-related disease classification method: a cohort study for network interpretability and transfer learning. - Yunqing Liu; Jinlei Liu; Chengjin Qin; Yanrui Jin; Zhiyuan Li; Liqun Zhao; Chengliang Liu 001 (Appl. Intell., 2023)

A self-supervised framework for computer-aided arrhythmia diagnosis. - Yanrui Jin; Zhiyuan Li; Yuanyuan Tian 003; Xiaoyang Wei; Chengliang Liu 001 (Appl. Soft Comput., 2024)

Pruned lightweight neural networks for arrhythmia classification with clinical 12-Lead ECGs. - Yunqing Liu; Jinlei Liu; Yuanyuan Tian 003; Yanrui Jin; Zhiyuan Li; Liqun Zhao; Chengliang Liu 001 (Appl. Soft Comput., 2024)

Automatic multi-label diagnosis of single-lead ECG using novel hybrid residual recurrent convolutional neural networks. - Xiaoyang Wei; Zhiyuan Li; Yanrui Jin; Yuanyuan Tian 003; Mengxiao Wang; Liqun Zhao; Chengliang Liu 001 (Biomed. Signal Process. Control., 2024)

M-XAF: Medical explainable diagnosis system of atrial fibrillation based on medical knowledge and semantic representation fusion. - Zhiyuan Li; Yanrui Jin; Yuanyuan Tian 003; Jinlei Liu; Mengxiao Wang; Xiaoyang Wei; Liqun Zhao; Chengliang Liu 001 (Eng. Appl. Artif. Intell., 2024)

Differentiated knowledge distillation: Patient-specific single-sample personalization for electrocardiogram diagnostic models. - Xiaoyang Wei; Zhiyuan Li; Yuanyuan Tian 003; Mengxiao Wang; Jinlei Liu; Yanrui Jin; Weiping Ding 001; Chengliang Liu 001 (Eng. Appl. Artif. Intell., 2024)

Lightweight Optimization of Deep Learning Models for Accurate Arrhythmia Detection in Clinical 12-Lead ECG Data. - Yunqing Liu; Chengjin Qin; Yuanyuan Tian 003; Mengxiao Wang; Jinlei Liu; Yanrui Jin; Zhiyuan Li; Liqun Zhao; Chengliang Liu 001 (IEEE Trans. Instrum. Meas., 2024)

A novel deep wavelet convolutional neural network for actual ECG signal denoising. - Yanrui Jin; Chengjin Qin; Jinlei Liu; Yunqing Liu; Zhiyuan Li; Chengliang Liu 001 (Biomed. Signal Process. Control., 2024)

TAG: Teacher-Advice Mechanism With Gaussian Process for Reinforcement Learning. - Ke Lin 001; Duantengchuan Li; Yanjie Li; Shiyu Chen; Qi Liu 027; Jianqi Gao; Yanrui Jin; Liang Gong (IEEE Trans. Neural Networks Learn. Syst., 2024)

BioCross: A cross-modal framework for unified representation of multi-modal biosignals with heterogeneous metadata fusion. - Mengxiao Wang; Zhiyuan Li; Yuanyuan Tian 003; Xiaoyang Wei; Yanrui Jin; Chengliang Liu 001 (Inf. Fusion, 2025)

Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma. - Tao Chen; Jialiang Wen; Xinchen Shen; Jiaqi Shen; Jiajun Deng; Mengmeng Zhao; Long Xu; Chunyan Wu; Bentong Yu; Minglei Yang 008; Minjie Ma; Junqi Wu; et al. (npj Digit. Medicine, 2025)

EDDM: A Novel ECG Denoising Method Using Dual-Path Diffusion Model. - Zhiyuan Li; Yuanyuan Tian 003; Yanrui Jin; Xiaoyang Wei; Mengxiao Wang; Jinlei Liu; Chengliang Liu 001 (IEEE Trans. Instrum. Meas., 2025)