A light-weight data preprocessing and integrative scheduling framework for health monitoring. - Fan Liu 007; Xingshe Zhou 001; Zhu Wang 001; Tianben Wang; Hongbo Ni (BHI, 2016)

Identifying Obstructive Sleep Apnea by Exploiting Fine-Grained BCG Features Based on Event Phase Segmentation. - Fan Liu 007; Xingshe Zhou 001; Zhu Wang 001; Tianben Wang; Hongbo Ni; Jun Yang (BIBE, 2016)

Identification of Hypertension by Mining Class Association Rules from Multi-dimensional Features. - Fan Liu 007; Xingshe Zhou 001; Zhu Wang 001; Tianben Wang; Yanchun Zhang (ICPR, 2018)

Fusing Transformer Model with Temporal Features for ECG Heartbeat Classification. - Genshen Yan; Shen Liang; Yanchun Zhang; Fan Liu 007 (BIBM, 2019)

A LSTM and CNN Based Assemble Neural Network Framework for Arrhythmias Classification. - Fan Liu 007; Xingshe Zhou 001; Jinli Cao; Zhu Wang 001; Hua Wang 002; Yanchun Zhang (ICASSP, 2019)

An Attention-based Hybrid LSTM-CNN Model for Arrhythmias Classification. - Fan Liu 007; Xingshe Zhou 001; Tianben Wang; Jinli Cao; Zhu Wang 001; Hua Wang 002; Yanchun Zhang (IJCNN, 2019)

Arrhythmias Classification by Integrating Stacked Bidirectional LSTM and Two-Dimensional CNN. - Fan Liu 007; Xingshe Zhou 001; Jinli Cao; Zhu Wang 001; Hua Wang 002; Yanchun Zhang (PAKDD (2), 2019)

OSA-weigher: an automated computational framework for identifying obstructive sleep apnea based on event phase segmentation. - Fan Liu 007; Xingshe Zhou 001; Zhu Wang 001; Hongbo Ni; Tianben Wang (J. Ambient Intell. Humaniz. Comput., 2019)

Unobtrusive Mattress-Based Identification of Hypertension by Integrating Classification and Association Rule Mining. - Fan Liu 007; Xingshe Zhou 001; Zhu Wang 001; Jinli Cao; Hua Wang 002; Yanchun Zhang (Sensors, 2019)

Exploiting feature fusion and long-term context dependencies for simultaneous ECG heartbeat segmentation and classification. - Xi Qiu; Shen Liang; Lingxiao Meng; Yanchun Zhang; Fan Liu 007 (Int. J. Data Sci. Anal., 2021)

Anomaly Detection in Quasi-Periodic Time Series Based on Automatic Data Segmentation and Attentional LSTM-CNN. - Fan Liu 007; Xingshe Zhou 001; Jinli Cao; Zhu Wang 001; Tianben Wang; Hua Wang 002; Yanchun Zhang (IEEE Trans. Knowl. Data Eng., 2022)

Artistic Expression and Affective Computing for Left-behind Children. - Fan Liu 007; Huamin Wang; Zhizhe Sheng; Qinyuan Tian; Sofia Elena Sienra Chaves (EBIMCS, 2023)

Anomaly Detection in Quasi-Periodic Time Series based on Automatic Data Segmentation and Attentional LSTM-CNN (Extended Abstract). - Fan Liu 007; Xingshe Zhou 001; Jinli Cao; Zhu Wang 001; Tianben Wang; Hua Wang 002; Yanchun Zhang (ICDE, 2023)