A Generalized Global Convergence Theory of Projection-Type Neural Networks for Optimization. - Rui Zhang 005; Zongben Xu (CIS (1), 2005)

When Does Online BP Training Converge? - Zongben Xu; Rui Zhang 005; Wenfeng Jing (IEEE Trans. Neural Networks, 2009)

Some Characterizations of Global Exponential Stability of a Generic Class of Continuous-Time Recurrent Neural Networks. - Lisheng Wang; Rui Zhang 005; Zongben Xu; Jigen Peng (IEEE Trans. Syst. Man Cybern. Part B, 2009)

Extreme Learning Machine with Adaptive Growth of Hidden Nodes and Incremental Updating of Output Weights. - Rui Zhang 005; Yuan Lan; Guang-Bin Huang; Yeng Chai Soh (AIS, 2011)

Credit risk evaluation with extreme learning machine. - Hongming Zhou; Yuan Lan; Yeng Chai Soh; Guang-Bin Huang; Rui Zhang 005 (SMC, 2012)

Universal Approximation of Extreme Learning Machine With Adaptive Growth of Hidden Nodes. - Rui Zhang 005; Yuan Lan; Guang-Bin Huang; Zongben Xu (IEEE Trans. Neural Networks Learn. Syst., 2012)

Global Convergence of Online BP Training With Dynamic Learning Rate. - Rui Zhang 005; Zongben Xu; Guang-Bin Huang; Dianhui Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2012)

Extreme Learning Machine for Regression and Multiclass Classification. - Guang-Bin Huang; Hongming Zhou; Xiaojian Ding; Rui Zhang 005 (IEEE Trans. Syst. Man Cybern. Part B, 2012)

Dynamic Extreme Learning Machine and Its Approximation Capability. - Rui Zhang 005; Yuan Lan; Guang-Bin Huang; Zongben Xu; Yeng Chai Soh (IEEE Trans. Cybern., 2013)

Automatic seizure detection using a novel EEG feature based on nonlinear complexity. - Jiang-Ling Song; Rui Zhang 005 (IJCNN, 2016)

Automated detection of epileptic EEGs using a novel fusion feature and extreme learning machine. - Jiang-Ling Song; Wenfeng Hu; Rui Zhang 005 (Neurocomputing, 2016)

Epileptic Seizure Detection Using EEGs Based on Kernel Radius of Intrinsic Mode Functions. - Qiang Li; Meina Ye; Jiang-Ling Song; Rui Zhang 005 (HIS, 2017)

Automated identification of epileptic seizures in EEG signals based on phase space representation and statistical features in the CEEMD domain. - Jian Jia; Balaji Goparaju; Jiang-Ling Song; Rui Zhang 005; M. Brandon Westover (Biomed. Signal Process. Control., 2017)

Application of extreme learning machine to epileptic seizure detection based on lagged Poincaŕe plots. - Jiang-Ling Song; Rui Zhang 005 (Multidimens. Syst. Signal Process., 2017)

A Mean Field Model of Acute Hepatic Encephalopathy. - Jiang-Ling Song; Haoqi Sun; Jing Jin 004; Luis Carlos; Lingya Chao; Sydney S. Cash; Rui Zhang 005; M. Brandon Westover (EMBC, 2018)

Automatic Identification of Premature Ventricular Contraction Using ECGs. - Hao Chen; Jiaqi Bai; Luning Mao; Jieying Wei; Jiang-Ling Song; Rui Zhang 005 (HIS, 2019)

Effects of Cholinergic Neuromodulation on Thalamocortical Rhythms During NREM Sleep: A Model Study. - Qiang Li; Jiang-Ling Song; Si-Hui Li; M. Brandon Westover; Rui Zhang 005 (Frontiers Comput. Neurosci., 2019)

A novel neural computational model of generalized periodic discharges in acute hepatic encephalopathy. - Jiang-Ling Song; Luis Paixao; Qiang Li; Si-Hui Li; Rui Zhang 005; M. Brandon Westover (J. Comput. Neurosci., 2019)

Automatic Detection of Epilepsy EEG based on CNN-LSTM Network Combination Model. - Xiaohan Liu; Jian Jia; Rui Zhang 005 (CSAI, 2020)

A New Neural Mass Model Driven Method and Its Application in Early Epileptic Seizure Detection. - Jiang-Ling Song; Qiang Li; Bo Zhang 039; M. Brandon Westover; Rui Zhang 005 (IEEE Trans. Biomed. Eng., 2020)

Computational Evidence for a Competitive Thalamocortical Model of Spikes and Spindle Activity in Rolandic Epilepsy. - Qiang Li; M. Brandon Westover; Rui Zhang 005; Catherine Jean Chu (Frontiers Comput. Neurosci., 2021)

Classification of Alzheimers disease by combining dynamic and static brain network features. - Yu Feng; Jian Jia; Rui Zhang 005 (CSAI, 2022)

Detection of CT Pulmonary Nodule Based on Improved Yolo Using Attention Mechanism. - Haoyu Qi; Jian Jia; Rui Zhang 005 (CSAI, 2022)

A Novel Transfer Learning Model for Cross-Subject Emotion Recognition using EEGs. - Yuan Wang 068; Qiang Li; Jian Jia; Rui Zhang 005 (CSAI, 2022)

Research on classification of motor imagery EEG signals based on TQWT-CSP. - Han Wu; Jian Jia; Rui Zhang 005 (CSAI, 2022)

A novel computer-assisted diagnosis method of knee osteoarthritis based on multivariate information and deep learning model. - Jiangling Song; Rui Zhang 005 (Digit. Signal Process., 2023)

Newton Time-Reassigned Multi-Synchrosqueezing Wavelet Transform. - Wenting Li; Zhuosheng Zhang 005; Rui Zhang 005 (IEEE Signal Process. Lett., 2024)

A novel autism spectrum disorder identification method: spectral graph network with brain-population graph structure joint learning. - Sihui Li; Duo Li; Rui Zhang 005; Feilong Cao (Int. J. Mach. Learn. Cybern., 2024)

Understanding the Spatio-Temporal Coupling of Spikes and Spindles in Focal Epilepsy Through a Network-Level Computational Model. - Min Pan; Qiang Li; Jiangling Song; Bo Wang; Wenhua Wang; Rui Zhang 005 (Int. J. Neural Syst., 2025)