Wei Wu
Orcid: 0000-0002-3137-4086Affiliations:
- Dalian University of Technology, School of Mathematical Sciences, China
- Oxford University, UK (PhD 1987)
According to our database1,
Wei Wu
authored at least 85 papers
between 2002 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Zero-order fuzzy neural network with adaptive fuzzy partition and its applications on high-dimensional problems.
Neurocomputing, February, 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
CoRR, 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
Nonstationary fuzzy neural network based on FCMnet clustering and a modified CG method with Armijo-type rule.
Inf. Sci., 2022
2020
Binary Output Layer of Extreme Learning Machine for Solving Multi-class Classification Problems.
Neural Process. Lett., 2020
Inf. Sci., 2020
2019
IEEE Trans. Circuits Syst. Video Technol., 2019
A Data-Driven Framework for Tunnel Geological-Type Prediction Based on TBM Operating Data.
IEEE Access, 2019
Binary Output Layer of Feedforward Neural Networks for Solving Multi-Class Classification Problems.
IEEE Access, 2019
Group L<sub>1/2</sub> Regularization for Pruning Hidden Layer Nodes of Feedforward Neural Networks.
IEEE Access, 2019
KEPLER: Facilitating Control-flow Hijacking Primitive Evaluation for Linux Kernel Vulnerabilities.
Proceedings of the 28th USENIX Security Symposium, 2019
2018
IEEE Trans. Circuits Syst. Video Technol., 2018
Symmetry, 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
Smooth group <i>L</i><sub>1/2</sub> regularization for input layer of feedforward neural networks.
Neurocomputing, 2018
CoRR, 2018
FUZE: Towards Facilitating Exploit Generation for Kernel Use-After-Free Vulnerabilities.
Proceedings of the 27th USENIX Security Symposium, 2018
2017
Prediction of essential proteins based on subcellular localization and gene expression correlation.
BMC Bioinform., 2017
IEEE Access, 2017
Proceedings of the Intelligence Science and Big Data Engineering, 2017
2016
A novel algorithm for identifying essential proteins by integrating subcellular localization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Neural Process. Lett., 2015
Convergence of batch gradient learning algorithm with smoothing L<sub>1/2</sub> regularization for Sigma-Pi-Sigma neural networks.
Neurocomputing, 2015
Kernel-based Fuzzy-rough Nearest-neighbour Classification for Mammographic Risk Analysis.
Int. J. Fuzzy Syst., 2015
Convergence Analysis of a New Self Organizing Map Based Optimization (SOMO) Algorithm.
Cogn. Comput., 2015
A novel dimensionality reduction algorithm based on Laplace matrix for microbiome data analysis.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
Batch gradient method with smoothing L<sub>1/2</sub> regularization for training of feedforward neural networks.
Neural Networks, 2014
J. Zhejiang Univ. Sci. C, 2014
A modified gradient learning algorithm with smoothing L<sub>1/2</sub> regularization for Takagi-Sugeno fuzzy models.
Neurocomputing, 2014
Double parallel feedforward neural network based on extreme learning machine with L<sub>1/2</sub> regularizer.
Neurocomputing, 2014
Convergence of online gradient method for feedforward neural networks with smoothing L<sub>1/2</sub> regularization penalty.
Neurocomputing, 2014
2013
Modified gradient-based learning for local coupled feedforward neural networks with Gaussian basis function.
Neural Comput. Appl., 2013
Fuzzy similarity-based nearest-neighbour classification as alternatives to their fuzzy-rough parallels.
Int. J. Approx. Reason., 2013
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013
2012
A Modified Spiking Neuron that Involves Derivative of the State Function at Firing Time.
Neural Process. Lett., 2012
Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning with penalty.
Neural Networks, 2012
Negative effects of sufficiently small initialweights on back-propagation neural networks.
J. Zhejiang Univ. Sci. C, 2012
Boundedness and convergence of batch back-propagation algorithm with penalty for feedforward neural networks.
Neurocomputing, 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
MaxMin-SOMO: An SOM Optimization Algorithm for Simultaneously Finding Maximum and Minimum of a Function.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
Computational Properties of Cyclic and Almost-Cyclic Learning with Momentum for Feedforward Neural Networks.
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
Neural Networks, 2011
Deterministic convergence of conjugate gradient method for feedforward neural networks.
Neurocomputing, 2011
Boundedness and convergence of MPN for cyclic and almost cyclic learning with penalty.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the FUZZ-IEEE 2011, 2011
2010
Soft Comput., 2010
Inf. Sci., 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Boundedness and Convergence of Online Gradient Method With Penalty for Feedforward Neural Networks.
IEEE Trans. Neural Networks, 2009
Boundedness and Convergence of Online Gradient Method with Penalty for Linear Output Feedforward Neural Networks.
Neural Process. Lett., 2009
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009
Proceedings of the First International Workshop on Database Technology and Applications, 2009
2008
A comment on "Relaxed conditions for radial-basis function networks to be universal approximators".
Neural Networks, 2008
2007
Convergence Analysis of Batch Gradient Algorithm for Three Classes of Sigma-Pi Neural Networks.
Neural Process. Lett., 2007
Training Pi-Sigma Network by Online Gradient Algorithm with Penalty for Small Weight Update.
Neural Comput., 2007
L<sup>P</sup> Approximation Capabilities of Sum-of-Product and Sigma-pi-Sigma Neural Networks.
Int. J. Neural Syst., 2007
Proceedings of the Advances in Neural Networks, 2007
Uniform Approximation Capabilities of Sum-of-Product and Sigma-Pi-Sigma Neural Networks.
Proceedings of the Advances in Neural Networks, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the Third International Conference on Natural Computation, 2007
Convergence of Online Gradient Algorithm with Stochastic Inputs for Pi-Sigma Neural Networks.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007
2006
Convergence of gradient method with momentum for two-Layer feedforward neural networks.
IEEE Trans. Neural Networks, 2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Proceedings of the Intelligent Computing, 2006
2005
IEEE Trans. Neural Networks, 2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Convergence of an Online Gradient Method for BP Neural Networks with Stochastic Inputs.
Proceedings of the Advances in Natural Computation, First International Conference, 2005
2004
Recent Developments on Convergence of Online Gradient Methods for Neural Network Training.
Proceedings of the Advances in Neural Networks, 2004
2003
Convergence of online gradient methods for continuous perceptrons with linearly separable training patterns.
Appl. Math. Lett., 2003
2002
Adv. Comput. Math., 2002