Qinbin He

12 papers C 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Topological equivalence classification and enumeration of n-input linearly separable Boolean functions.
Inf. Sci.
Qinbin He, Fangyue Chen, Wei Jin
2022 J jnl
Classification and Enumeration of Linearly Separable Boolean Functions Based on Optimal Separation System.
Neural Process. Lett.
Wei Jin, Fangyue Chen, Qinbin He
2021 J jnl
Directed Projection Graph of N-Dimensional Hypercube and Subhypercube Decomposition of Balanced Linearly Separable Boolean Functions.
Int. J. Bifurc. Chaos
Wei Jin, Fangyue Chen, Qinbin He
2021 J jnl
Topological Equivalence Classification of Balanced Linearly Separable Boolean Functions on n-Dimensional Hypercube.
Int. J. Bifurc. Chaos
Qinbin He, Fangyue Chen, Wei Jin
2019 J jnl
Universal Perceptron Theory on Decomposition Structures of
Int. J. Bifurc. Chaos
Qinbin He, Fangyue Chen
2016 J jnl
Glider Collisions in Hybrid Cellular Automata Rule 168 and 133.
J. Cell. Autom.
Bo Chen, Fangyue Chen, Junbiao Guan, Qinbin He
2015 — conf
Majority Gates and Circular Computation in Slime Mould.
ECAL
Genaro J. Martínez, Andrew Adamatzky, Richard Mayne, Fangyue Chen, Qinbin He
2013 — conf
A Novel Neural Network Parallel Adder.
IWANN (1)
Fangyue Chen, Guangyi Wang, Guanrong Chen, Qinbin He
2009 C conf
DNA-like Learning Algorithm of CNN Template Implementing Boolean Functions.
ISCAS
Fangyue Chen, Guanrong Chen, Qinbin He
2009 J jnl
Universal Perceptron and DNA-Like Learning Algorithm for Binary Neural Networks: LSBF and PBF Implementations.
IEEE Trans. Neural Networks
Fangyue Chen, Guanrong Chen, Guolong He, Xiubin Xu, Qinbin He
2009 J jnl
Universal Perceptron and DNA-Like Learning Algorithm for Binary Neural Networks: Non-LSBF Implementation.
IEEE Trans. Neural Networks
Fangyue Chen, Guanrong Chen, Qinbin He, Guolong He, Xiubin Xu
2006 J jnl
Designing CNN genes for Binary Image Edge Smoothing and Noise Removing.
Int. J. Bifurc. Chaos
Qinbin He, Fangyue Chen