MATLAB Simulink Modeling and Simulation of Zhang Neural Network for Online Time-Varying Matrix Inversion. - Yunong Zhang; Xiaojiao Guo; Weimu Ma; Ke Chen 004; Binghuang Cai (ICNSC, 2008)

Common Nature of Learning Exemplified by BP and Hopfield Neural Networks for Solving Online a System of Linear Equations. - Yunong Zhang; Zhan Li; Ke Chen 004; Binghuang Cai (ICNSC, 2008)

Zhang neural network without using time-derivative information for constant and time-varying matrix inversion. - Yunong Zhang; Zenghai Chen; Ke Chen 004; Binghuang Cai (IJCNN, 2008)

Bi-criteria Velocity Minimization of Robot Manipulators Using a Linear Variational Inequalities-Based Primal-Dual Neural Network and PUMA560 Example. - Yunong Zhang; Binghuang Cai; Lei Zhang; Kene Li (Adv. Robotics, 2008)

From Zhang Neural Network to Newton Iteration for Matrix Inversion. - Yunong Zhang; Weimu Ma; Binghuang Cai (IEEE Trans. Circuits Syst. I Regul. Pap., 2009)

Quadratic-programming based self-motion planning with no target-configuration assigned for planar robot arms. - Yunong Zhang; Yan Huang; Binghuang Cai; Dongsheng Guo 001; Zhende Ke (ICCA, 2010)

Optimisation model and exact algorithm for Autonomous Straddle Carrier Scheduling at automated container terminals. - Binghuang Cai; Shoudong Huang; Dikai Liu; Shuai Yuan 007; Gamini Dissanayake; Haye Lau; Daniel Pagac (IROS, 2011)

Zhang neural network solving for time-varying full-rank matrix Moore-Penrose inverse. - Yunong Zhang; Yiwen Yang; Ning Tan 003; Binghuang Cai (Computing, 2011)

Zhang neural network and its application to Newton iteration for matrix square root estimation. - Yunong Zhang; Yiwen Yang; Binghuang Cai; Dongsheng Guo 001 (Neural Comput. Appl., 2012)

Different-Level Redundancy-Resolution and Its Equivalent Relationship Analysis for Robot Manipulators Using Gradient-Descent and Zhang 's Neural-Dynamic Methods. - Binghuang Cai; Yunong Zhang (IEEE Trans. Ind. Electron., 2012)

Zhang equivalence of different-level robotic schemes: An MVN case study based on PA10 robot manipulator. - Dongsheng Guo 001; Keke Zhai; Xiaotian Yu; Binghuang Cai; Yunong Zhang (ROBIO, 2013)

Optimisation for job scheduling at automated container terminals using genetic algorithm. - Bradley Skinner; Shuai Yuan 007; Shoudong Huang; Dikai Liu; Binghuang Cai; Gamini Dissanayake; Haye Lau; Andrew Bott; Daniel Pagac (Comput. Ind. Eng., 2013)

Multiobjective Optimization for Autonomous Straddle Carrier Scheduling at Automated Container Terminals. - Binghuang Cai; Shoudong Huang; Dikai Liu; Shuai Yuan 007; Gamini Dissanayake; Haye Lau; Daniel Pagac (IEEE Trans Autom. Sci. Eng., 2013)

Despeckling of medical ultrasound images using multiscale weighting nonlinear diffusion. - Qiong Zhang; Minfen Shen; Ruoyu Fang; Bin Li 056; Binghuang Cai (ICSAI, 2014)

Performance analysis of LVI-based PDNN applied to real-time solution of time-varying quadratic programming. - Yunong Zhang; Fangting Wu; Zhengli Xiao; Zhen Li; Binghuang Cai (IJCNN, 2014)

A novel artificial neural network method for biomedical prediction based on matrix pseudo-inversion. - Binghuang Cai; Xia Jiang (J. Biomed. Informatics, 2014)

Rescheduling policies for large-scale task allocation of autonomous straddle carriers under uncertainty at automated container terminals. - Binghuang Cai; Shoudong Huang; Dikai Liu; Gamini Dissanayake (Robotics Auton. Syst., 2014)

Apply signum-activated WASD neuronet to learning XOR logic via noisy input and output data. - Chengxu Ye; Weixiang Ding; Jianhao Deng; Binghuang Cai; Yunong Zhang (ICACI, 2015)

Computational methods for ubiquitination site prediction using physicochemical properties of protein sequences. - Binghuang Cai; Xia Jiang (BMC Bioinform., 2016)

Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits. - Kael Dai; Sergey L. Gratiy; Yazan N. Billeh; Richard Xu; Binghuang Cai; Nicholas Cain; Atle E. Rimehaug; Alexander J. Stasik; Gaute T. Einevoll; Stefan Mihalas; Christof Koch; Anton Arkhipov (PLoS Comput. Biol., 2020)

Interpretability for reliable, efficient, and self-cognitive DNNs: From theories to applications. - Xu Kang 002; Jie Guo 008; Bin Song 001; Binghuang Cai; Hongyu Sun 001; Zhebin Zhang (Neurocomputing, 2023)

MNSS: Neural Supersampling Framework for Real-Time Rendering on Mobile Devices. - Sipeng Yang; Yunlu Zhao; Yuzhe Luo; He Wang 002; Hongyu Sun 001; Chen Li; Binghuang Cai; Xiaogang Jin 001 (IEEE Trans. Vis. Comput. Graph., 2024)