Jie Yang
Orcid: 0000-0003-1318-3996Affiliations:
- Dalian University of Technology, School of Mathematical Sciences, China (PhD)
According to our database1,
Jie Yang
authored at least 37 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2005
2010
2015
2020
0
1
2
3
4
5
4
4
3
1
2
2
3
1
1
1
3
2
1
1
1
1
1
2
1
1
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
IEEE Trans. Syst. Man Cybern. Syst., February, 2024
Zero-order fuzzy neural network with adaptive fuzzy partition and its applications on high-dimensional problems.
Neurocomputing, February, 2024
Generative adversarial networks for multi-fidelity matrix completion with massive missing entries.
Inf. Fusion, 2024
Eng. Appl. Artif. Intell., 2024
2023
Coding Method Based on Fuzzy C-Means Clustering for Spiking Neural Network With Triangular Spike Response Function.
IEEE Trans. Fuzzy Syst., December, 2023
Appl. Intell., November, 2023
A novel parallel merge neural network with streams of spiking neural network and artificial neural network.
Inf. Sci., 2023
Intell. Data Anal., 2023
2022
Spiking Neural Network Regularization With Fixed and Adaptive Drop-Keep Probabilities.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Fuzzy Syst., 2022
A new classifier for imbalanced data with iterative learning process and ensemble operating process.
Knowl. Based Syst., 2022
2021
Symmetry, 2021
2020
Binary Output Layer of Extreme Learning Machine for Solving Multi-class Classification Problems.
Neural Process. Lett., 2020
Inf. Sci., 2020
2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
2018
A New Conjugate Gradient Method with Smoothing L<sub>1/2</sub> Regularization Based on a Modified Secant Equation for Training Neural Networks.
Neural Process. Lett., 2018
Neural Networks, 2018
2015
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
2014
Double parallel feedforward neural network based on extreme learning machine with L<sub>1/2</sub> regularizer.
Neurocomputing, 2014
2013
Modified gradient-based learning for local coupled feedforward neural networks with Gaussian basis function.
Neural Comput. Appl., 2013
2012
A Modified Spiking Neuron that Involves Derivative of the State Function at Firing Time.
Neural Process. Lett., 2012
Negative effects of sufficiently small initialweights on back-propagation neural networks.
J. Zhejiang Univ. Sci. C, 2012
A remark on the error-backpropagation learning algorithm for spiking neural networks.
Appl. Math. Lett., 2012
A Modified One-Layer Spiking Neural Network Involves Derivative of the State Function at Firing Time.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
2011
IEEE Trans. Neural Networks, 2011
Convergence of Cyclic and Almost-Cyclic Learning With Momentum for Feedforward Neural Networks.
IEEE Trans. Neural Networks, 2011
2010
Inf. Sci., 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009
Proceedings of the First International Workshop on Database Technology and Applications, 2009
2007
Proceedings of the Third International Conference on Natural Computation, 2007
2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
2004
Recent Developments on Convergence of Online Gradient Methods for Neural Network Training.
Proceedings of the Advances in Neural Networks, 2004