A Parallel Algorithm for Computer Simulation of Electrocardiogram Based on MPI. - Wenfeng Shen; Weijia Lu; Daming Wei; Weimin Xu; Xin Zhu 001; Shizhong Yuan (ACIS-ICIS, 2009)

GPU-Based Parallelization for Computer Simulation of Electrocardiogram. - Wenfeng Shen; Daming Wei; Weimin Xu; Xin Zhu 001; Shizhong Yuan (CIT (1), 2009)

A Metadata Registry to Facilitate the Search and Retrieval of Electrocardiograms. - Shizhong Yuan; Daming Wei; Weimin Xu; Wenfeng Shen (CIT (1), 2009)

A General Framework of Brain-Computer Interface with Visualization and Virtual Reality Feedback. - Gufei Sun; Kuangda Li; Xiaoqiang Li; Bofeng Zhang; Shizhong Yuan; Gengfeng Wu (DASC, 2009)

Parallelized computation for computer simulation of electrocardiograms using personal computers with multi-core CPU and general-purpose GPU. - Wenfeng Shen; Daming Wei; Weimin Xu; Xin Zhu 001; Shizhong Yuan (Comput. Methods Programs Biomed., 2010)

XPath-Based Filter for Publish/Subscribe in Healthcare Environments. - Linlin Liu; Shizhong Yuan (CIT, 2012)

Load-Prediction Scheduling for Computer Simulation of Electrocardiogram on a CPU-GPU PC. - Wenfeng Shen; Lianqiang Sun; Daming Wei; Weimin Xu; Xin Zhu 001; Shizhong Yuan (CSE, 2013)

A Study with MIC-GPU-CPU Heterogeneous Architecture in Electrocardiograms Simulation of Electrocardiogram Based Whole-Heart Model. - Wenfeng Shen; Zhaokai Luo; Yin Zhang; Daming Wei; Weimin Xu; Xin Zhu 001; Shizhong Yuan (CIT, 2014)

Transformation of an E-R Model into HBase Tables: A Data Store Design for IHE-XDS Document Registry. - Yan Hou; Shizhong Yuan; Weimin Xu; Daming Wei (UIC/ATC/ScalCom, 2015)

A Fine-Grained Latent Aspects Model for Recommendation: Combining Each Rating with Its Associated Review. - Xuehui Mao; Shizhong Yuan; Weimin Xu; Daming Wei (WISE (2), 2017)

Patch-based deep multi-modal learning framework for Alzheimer's disease diagnosis using multi-view neuroimaging. - Fangyu Liu; Shizhong Yuan; Weimin Li 001; Qun Xu; Bin Sheng (Biomed. Signal Process. Control., 2023)

De-accumulated error collaborative learning framework for predicting Alzheimer's disease progression. - Hongli Cheng; Shizhong Yuan; Weimin Li 001; Xiao Yu; Fangyu Liu; Xiao Liu; Tsigabu T. Bezabih (Biomed. Signal Process. Control., 2024)

Multi-task joint learning network based on adaptive patch pruning for Alzheimer's disease diagnosis and clinical score prediction. - Fangyu Liu; Shizhong Yuan; Weimin Li 001; Qun Xu; Xing Wu 001; Ke Han; Jingchao Wang 001; Shang Miao (Biomed. Signal Process. Control., 2024)

Multi-relational mixed perception based short time series prediction of Alzheimer's disease progression. - Yuxue Yang; Xiao Liu; Weimin Li 001; Shizhong Yuan; Xing Wu 001; Ruiqiang Guo (Biomed. Signal Process. Control., 2025)

Heterogeneous network for Hierarchical Fine-Grained Domain Fake News Detection. - Yue Wang 150; Shizhong Yuan; Weimin Li 001; Yifan Feng 002; Xiao Yu; Fangfang Liu 008; Can Wang 004; Quanke Pan (Inf. Process. Manag., 2025)