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Binghuang Cai
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2020 – today
- 2024
- [j13]Sipeng Yang
, Yunlu Zhao
MNSS: Neural Supersampling Framework for Real-Time Rendering on Mobile Devices. IEEE Trans. Vis. Comput. Graph. 30(7): 4271-4284 (2024) - 2023
- [j12]Xu Kang, Jie Guo, Bin Song, Binghuang Cai, Hongyu Sun, Zhebin Zhang:
Interpretability for reliable, efficient, and self-cognitive DNNs: From theories to applications. Neurocomputing 545: 126267 (2023) - 2020
- [j11]Kael Dai
Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits. PLoS Comput. Biol. 16(11) (2020)
2010 – 2019
- 2016
- [j10]Binghuang Cai, Xia Jiang:
Computational methods for ubiquitination site prediction using physicochemical properties of protein sequences. BMC Bioinform. 17: 116 (2016) - 2015
- [c9]Chengxu Ye, Weixiang Ding, Jianhao Deng, Binghuang Cai
Apply signum-activated WASD neuronet to learning XOR logic via noisy input and output data. ICACI 2015: 158-163 - 2014
- [j9]Binghuang Cai
A novel artificial neural network method for biomedical prediction based on matrix pseudo-inversion. J. Biomed. Informatics 48: 114-121 (2014) - [j8]Binghuang Cai
Rescheduling policies for large-scale task allocation of autonomous straddle carriers under uncertainty at automated container terminals. Robotics Auton. Syst. 62(4): 506-514 (2014) - [c8]Qiong Zhang, Minfen Shen, Ruoyu Fang, Bin Li, Binghuang Cai
Despeckling of medical ultrasound images using multiscale weighting nonlinear diffusion. ICSAI 2014: 759-763 - [c7]Yunong Zhang
Performance analysis of LVI-based PDNN applied to real-time solution of time-varying quadratic programming. IJCNN 2014: 3155-3160 - 2013
- [j7]Bradley Skinner
Optimisation for job scheduling at automated container terminals using genetic algorithm. Comput. Ind. Eng. 64(1): 511-523 (2013) - [j6]Binghuang Cai
Multiobjective Optimization for Autonomous Straddle Carrier Scheduling at Automated Container Terminals. IEEE Trans Autom. Sci. Eng. 10(3): 711-725 (2013) - [c6]Dongsheng Guo, Keke Zhai, Xiaotian Yu, Binghuang Cai
Zhang equivalence of different-level robotic schemes: An MVN case study based on PA10 robot manipulator. ROBIO 2013: 1592-1597 - 2012
- [j5]Yunong Zhang
Zhang neural network and its application to Newton iteration for matrix square root estimation. Neural Comput. Appl. 21(3): 453-460 (2012) - [j4]Binghuang Cai
Different-Level Redundancy-Resolution and Its Equivalent Relationship Analysis for Robot Manipulators Using Gradient-Descent and Zhang 's Neural-Dynamic Methods. IEEE Trans. Ind. Electron. 59(8): 3146-3155 (2012) - 2011
- [j3]Yunong Zhang
Zhang neural network solving for time-varying full-rank matrix Moore-Penrose inverse. Computing 92(2): 97-121 (2011) - [c5]Binghuang Cai, Shoudong Huang
Optimisation model and exact algorithm for Autonomous Straddle Carrier Scheduling at automated container terminals. IROS 2011: 3686-3693 - 2010
- [c4]Yunong Zhang
Quadratic-programming based self-motion planning with no target-configuration assigned for planar robot arms. ICCA 2010: 534-539
2000 – 2009
- 2009
- [j2]Yunong Zhang
From Zhang Neural Network to Newton Iteration for Matrix Inversion. IEEE Trans. Circuits Syst. I Regul. Pap. 56-I(7): 1405-1415 (2009) - 2008
- [j1]Yunong Zhang
Bi-criteria Velocity Minimization of Robot Manipulators Using a Linear Variational Inequalities-Based Primal-Dual Neural Network and PUMA560 Example. Adv. Robotics 22(13-14): 1479-1496 (2008) - [c3]Yunong Zhang
Common Nature of Learning Exemplified by BP and Hopfield Neural Networks for Solving Online a System of Linear Equations. ICNSC 2008: 832-836 - [c2]Yunong Zhang
MATLAB Simulink Modeling and Simulation of Zhang Neural Network for Online Time-Varying Matrix Inversion. ICNSC 2008: 1480-1485 - [c1]Yunong Zhang
Zhang neural network without using time-derivative information for constant and time-varying matrix inversion. IJCNN 2008: 142-146
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