Different-Level Schemes' Equivalence for Self-Motion Planning of Robot Manipulators. - Yunong Zhang; Huarong Wu; Zhijun Zhang 003; Senbo Fu; Yonghua Yin (AICI, 2012)

Weights and structure determination of pruning-while-growing type for 3-input power-activation feed-forward neuronet. - Yunong Zhang; Wenchao Lao; Yonghua Yin; Lin Xiao 002; Jinhao Chen (ICAL, 2012)

Growing-type weights and structure determination of 2-input Legendre orthogonal polynomial neuronet. - Yunong Zhang; Jinhao Chen; Dongsheng Guo 001; Yonghua Yin; Wenchao Lao (ISIE, 2012)

ZG Control for Ship Course Tracking with Singularity Considered and Solved. - Yonghua Yin; Qing Xie; Ying Wang 031; Dechao Chen; Yunong Zhang (DASC, 2013)

ZD and ZG controllers for explicit and implicit tracking of pendulum with singularity finally conquered. - Yunong Zhang; Chen Peng; Xiaotian Yu; Yonghua Yin; Yingbiao Ling (ICMLC, 2013)

Zhang-Gradient Controllers of Z0G0, Z1G0 and Z1G1 Types for Output Tracking of Time-Varying Linear Systems with Control-Singularity Conquered Finally. - Yunong Zhang; Jinrong Liu; Yonghua Yin; Feiheng Luo; Jianhao Deng (ISNN (2), 2013)

ZG controllers for output tracking of nonlinear mass-spring-damper mechanical system with division-by-zero problem solved. - Yunong Zhang; Ying Wang 031; Yonghua Yin; Long Jin 001; Dechao Chen (ROBIO, 2013)

Theory and Substantiation of z0g1 Controller Conquering Singularity Problem of Output Tracking for a Class of Nonlinear System. - Yunong Zhang; Ying Wang 031; Yonghua Yin; Hongzhou Tan; Qingkai Zeng (CSE, 2014)

Acceleration-level Z2G0 controller for redundant manipulator end-effector tracking. - Jiawei Luo 003; Xiaotian Yu; Yonghua Yin; Hongzhou Tan; Yunong Zhang (FSKD, 2014)

Singularity-conquering ZG controllers of z2g1 type for tracking control of the IPC system. - Yunong Zhang; Xiaotian Yu; Yonghua Yin; Chen Peng; Zhengping Fan (Int. J. Control, 2014)

Weights and structure determination of multiple-input feed-forward neural network activated by Chebyshev polynomials of Class 2 via cross-validation. - Yunong Zhang; Xiaotian Yu; Dongsheng Guo 001; Yonghua Yin; Zhijun Zhang 003 (Neural Comput. Appl., 2014)

Cross-validation based weights and structure determination of Chebyshev-polynomial neural networks for pattern classification. - Yunong Zhang; Yonghua Yin; Dongsheng Guo 001; Xiaotian Yu; Lin Xiao 002 (Pattern Recognit., 2014)

Line-Search Aided Non-negative Least-Square Learning for Random Neural Network. - Yonghua Yin (ISCIS, 2015)

Taylor-type 1-step-ahead numerical differentiation rule for first-order derivative approximation and ZNN discretization. - Yunong Zhang; Long Jin 001; Dongsheng Guo 001; Yonghua Yin; Yao Chou (J. Comput. Appl. Math., 2015)

Deep Learning in Multi-Layer Architectures of Dense Nuclei. - Yonghua Yin; Erol Gelenbe (CoRR, 2016)

Nonnegative autoencoder with simplified random neural network. - Yonghua Yin; Erol Gelenbe (CoRR, 2016)

GD-aided IOL (input-output linearisation) controller for handling affine-form nonlinear system with loose condition on relative degree. - Yunong Zhang; Dechao Chen; Long Jin 001; Yinyan Zhang; Yonghua Yin (Int. J. Control, 2016)

Deep Learning with Dense Random Neural Networks. - Erol Gelenbe; Yonghua Yin (ICMMI, 2017)

Single-cell based random neural network for deep learning. - Yonghua Yin; Erol Gelenbe (IJCNN, 2017)

Multi-layer neural networks for quality of service oriented server-state classification in cloud servers. - Yonghua Yin; Lan Wang; Erol Gelenbe (IJCNN, 2017)

Deep Learning with Dense Random Neural Networks for Detecting Attacks Against IoT-Connected Home Environments. - Olivier Brun; Yonghua Yin; Erol Gelenbe; Yasin Murat Kadioglu; Javier Augusto-Gonzalez; Manuel Ramos (Euro-CYBERSEC, 2018)

Deep Learning with Dense Random Neural Network for Detecting Attacks against IoT-connected Home Environments. - Olivier Brun; Yonghua Yin; Erol Gelenbe (FNC/MobiSPC, 2018)

Machine Learning to Predict Toxicity of Compounds. - Ingrid Grenet; Yonghua Yin; Jean-Paul Comet; Erol Gelenbe (ICANN (1), 2018)

Deep Learning with the Random Neural Network and its Applications. - Yonghua Yin (CoRR, 2018)

G-Networks to Predict the Outcome of Sensing of Toxicity. - Ingrid Grenet; Yonghua Yin; Jean-Paul Comet (Sensors, 2018)

Positive Consensus of Directed Multi-agent Systems using Dynamic Output-feedback Control. - Nachuan Yang; Yonghua Yin; Jinrong Liu (CDC, 2019)

Random Neural Networks and Deep Learning for Attack Detection at the Edge. - Olivier Brun; Yonghua Yin (ICFC, 2019)

Non-negative Autoencoder with Simplified Random Neural Network. - Yonghua Yin; Erol Gelenbe (IJCNN, 2019)

The Random Neural Network with Deep Learning Clusters in Smart Search. - Will Serrano; Erol Gelenbe; Yonghua Yin (Neurocomputing, 2020)