Wei Wu

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 27

Top Topics

Subspace Clustering

Imbalanced Datasets

Top Venues

Neural Process. Lett.

Publications

Chao Zhang, Xinyu Chen, Wensheng Li, Lixue Liu, Wei Wu, Dacheng Tao
Understanding Deep Neural Networks via Linear Separability of Hidden Layers. CoRR (2023)
Fang Liu, Witold Pedrycz, Chao Zhang, Jie Yang, Wei Wu
Coding Method Based on Fuzzy C-Means Clustering for Spiking Neural Network With Triangular Spike Response Function. IEEE Trans. Fuzzy Syst. 31 (12) (2023)
Tingting Pan, Witold Pedrycz, Jie Yang, Wei Wu, Yulin Zhang
A new classifier for imbalanced data with iterative learning process and ensemble operating process. Knowl. Based Syst. 249 (2022)
Fang Liu, Jie Yang, Witold Pedrycz, Wei Wu
A New Fuzzy Spiking Neural Network Based on Neuronal Contribution Degree. IEEE Trans. Fuzzy Syst. 30 (7) (2022)
Junhong Zhao, Jie Yang, Jun Wang, Wei Wu
Spiking Neural Network Regularization With Fixed and Adaptive Drop-Keep Probabilities. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Tingting Pan, Junhong Zhao, Wei Wu, Jie Yang
Learning imbalanced datasets based on SMOTE and Gaussian distribution. Inf. Sci. 512 (2020)
Sibo Yang, Chao Zhang, Yuan Bao, Jie Yang, Wei Wu
Binary Output Layer of Extreme Learning Machine for Solving Multi-class Classification Problems. Neural Process. Lett. 52 (1) (2020)
Habtamu Zegeye Alemu, Junhong Zhao, Feng Li, Wei Wu
Regularization for Pruning Hidden Layer Nodes of Feedforward Neural Networks. IEEE Access 7 (2019)
Feng Li, Jie Yang, Mingchen Yao, Sibo Yang, Wei Wu
Extreme learning machine with local connections. Neurocomputing 368 (2019)
Sibo Yang, Chao Zhang, Wei Wu
Binary Output Layer of Feedforward Neural Networks for Solving Multi-Class Classification Problems. IEEE Access 7 (2019)
Junhong Zhao, Maolin Shi, Gang Hu, Xueguan Song, Chao Zhang, Dacheng Tao, Wei Wu
A Data-Driven Framework for Tunnel Geological-Type Prediction Based on TBM Operating Data. IEEE Access 7 (2019)
Baohua Li, Huchuan Lu, Ying Zhang, Zhouchen Lin, Wei Wu
Subspace Clustering Under Complex Noise. IEEE Trans. Circuits Syst. Video Technol. 29 (4) (2019)
Chun Hua, Feng Li, Chao Zhang, Jie Yang, Wei Wu
A Genetic XK-Means Algorithm with Empty Cluster Reassignment. Symmetry 11 (6) (2019)
Habtamu Zegeye Alemu, Wei Wu, Junhong Zhao
Feedforward Neural Networks with a Hidden Layer Regularization Method. Symmetry 10 (10) (2018)
Yanpeng Qu, Changjing Shang, Neil Mac Parthaláin, Wei Wu, Qiang Shen
Multi-functional nearest-neighbour classification. Soft Comput. 22 (8) (2018)
Feng Li, Yan Liu, Khidir Shaib Mohamed, Wei Wu
A Modified Sigma-Pi-Sigma Neural Network with Adaptive Choice of Multinomials. CoRR (2018)
Baohua Li, Huchuan Lu, Fu Li, Wei Wu
Subspace Clustering With K-Support Norm. IEEE Trans. Circuits Syst. Video Technol. 28 (2) (2018)
Wenyu Li, Yan Liu, Jie Yang, Wei Wu
Regularization Based on a Modified Secant Equation for Training Neural Networks. Neural Process. Lett. 48 (2) (2018)
Sibo Yang, Chao Zhang, Wei Wu
Binary output layer of feedforward neural networks for solving multi-class classification problems. CoRR (2018)
Junhong Zhao, Jacek M. Zurada, Jie Yang, Wei Wu
The convergence analysis of SpikeProp algorithm with smoothing L1∕2 regularization. Neural Networks 103 (2018)
Feng Li, Jacek M. Zurada, Wei Wu
regularization for input layer of feedforward neural networks. Neurocomputing 314 (2018)
Feng Li, Sibo Yang, Huanhuan Huang, Wei Wu
Extreme Learning Machine with Local Connections. CoRR (2018)
Baohua Li, Wei Wu
Subspace Clustering Under Multiplicative Noise Corruption. IScIDE (2017)
Feng Li, Jacek M. Zurada, Yan Liu, Wei Wu
Input Layer Regularization of Multilayer Feedforward Neural Networks. IEEE Access 5 (2017)
Ye-tian Fan, Xiwei Tang, Xiaohua Hu, Wei Wu, Qing Ping
Prediction of essential proteins based on subcellular localization and gene expression correlation. BMC Bioinform. 18 (S-13) (2017)
Dakun Yang, Zhengxue Li, Wei Wu
Extreme learning machine for interval neural networks. Neural Comput. Appl. 27 (1) (2016)
Ye-tian Fan, Xiaohua Hu, Xiwei Tang, Qing Ping, Wei Wu
A novel algorithm for identifying essential proteins by integrating subcellular localization. BIBM (2016)
Ye-tian Fan, Wei Wu, Jie Yang, Wenyu Yang, Rongrong Liu
An Algorithm for Motif Discovery with Iteration on Lengths of Motifs. IEEE ACM Trans. Comput. Biol. Bioinform. 12 (1) (2015)
Ye-tian Fan, Xingpeng Jiang, Xiaohua Hu, Bo Song, Yuan Ling, Wei Wu
A novel dimensionality reduction algorithm based on Laplace matrix for microbiome data analysis. BIBM (2015)
Yan Liu, Zhengxue Li, Dakun Yang, Kh. Sh. Mohamed, Jing Wang, Wei Wu
regularization for Sigma-Pi-Sigma neural networks. Neurocomputing 151 (2015)
Yanpeng Qu, Changjing Shang, Qiang Shen, Neil Mac Parthaláin, Wei Wu
Kernel-based Fuzzy-rough Nearest-neighbour Classification for Mammographic Risk Analysis. Int. J. Fuzzy Syst. 17 (3) (2015)
Dakun Yang, Zhengxue Li, Yan Liu, Huisheng Zhang, Wei Wu
A Modified Learning Algorithm for Interval Perceptrons with Interval Weights. Neural Process. Lett. 42 (2) (2015)
Qin-wei Fan, Jacek M. Zurada, Wei Wu
regularization penalty. Neurocomputing 131 (2014)
Wei Wu, Qin-wei Fan, Jacek M. Zurada, Jian Wang, Dakun Yang, Yan Liu
regularization for training of feedforward neural networks. Neural Networks 50 (2014)
Yan Liu, Wei Wu, Qin-wei Fan, Dakun Yang, Jian Wang
regularization for Takagi-Sugeno fuzzy models. Neurocomputing 138 (2014)
Atlas Khan, Jie Yang, Wei Wu
regularizer. Neurocomputing 128 (2014)
Ye-tian Fan, Wei Wu, Wenyu Yang, Qin-wei Fan, Jian Wang
A pruning algorithm with L 1/2 regularizer for extreme learning machine. J. Zhejiang Univ. Sci. C 15 (2) (2014)
Yanpeng Qu, Qiang Shen, Neil Mac Parthaláin, Changjing Shang, Wei Wu
Fuzzy similarity-based nearest-neighbour classification as alternatives to their fuzzy-rough parallels. Int. J. Approx. Reason. 54 (1) (2013)
Yanpeng Qu, Changjing Shang, Jie Yang, Wei Wu, Qiang Shen
Modified gradient-based learning for local coupled feedforward neural networks with Gaussian basis function. Neural Comput. Appl. 22 (Supplement-1) (2013)
Qilin Sun, Yan Liu, Zhengxue Li, Sibo Yang, Wei Wu, Jiuwu Jin
The Binary Output Units of Neural Network. ISNN (1) (2013)
Yan Liu, Jie Yang, Long Li, Wei Wu
Negative effects of sufficiently small initialweights on back-propagation neural networks. J. Zhejiang Univ. Sci. C 13 (8) (2012)
Jian Wang, Wei Wu, Jacek M. Zurada
Computational Properties of Cyclic and Almost-Cyclic Learning with Momentum for Feedforward Neural Networks. ISNN (1) (2012)
Wenyu Yang, Jie Yang, Wei Wu
A Modified One-Layer Spiking Neural Network Involves Derivative of the State Function at Firing Time. ISNN (1) (2012)
Wenyu Yang, Jie Yang, Wei Wu
A Modified Spiking Neuron that Involves Derivative of the State Function at Firing Time. Neural Process. Lett. 36 (2) (2012)
Jian Wang, Wei Wu, Jacek M. Zurada
Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning with penalty. Neural Networks 33 (2012)
Jie Yang, Wenyu Yang, Wei Wu
A remark on the error-backpropagation learning algorithm for spiking neural networks. Appl. Math. Lett. 25 (8) (2012)
Huisheng Zhang, Wei Wu, Mingchen Yao
Boundedness and convergence of batch back-propagation algorithm with penalty for feedforward neural networks. Neurocomputing 89 (2012)
Jian Wang, Jie Yang, Wei Wu
Convergence of Cyclic and Almost-Cyclic Learning With Momentum for Feedforward Neural Networks. IEEE Trans. Neural Networks 22 (8) (2011)
Wei Wu, Jian Wang, Mingsong Cheng, Zhengxue Li
Convergence analysis of online gradient method for BP neural networks. Neural Networks 24 (1) (2011)
Jian Wang, Wei Wu, Jacek M. Zurada
Boundedness and convergence of MPN for cyclic and almost cyclic learning with penalty. IJCNN (2011)
Jian Wang, Wei Wu, Jacek M. Zurada
Deterministic convergence of conjugate gradient method for feedforward neural networks. Neurocomputing 74 (14-15) (2011)
Yanpeng Qu, Changjing Shang, Qiang Shen, Neil Mac Parthaláin, Wei Wu
Kernel-based fuzzy-rough nearest neighbour classification. FUZZ-IEEE (2011)
Chao Zhang, Jie Yang, Wei Wu
Binary Higher Order Neural Networks for Realizing Boolean Functions. IEEE Trans. Neural Networks 22 (5) (2011)
Wei Wu, Long Li, Jie Yang, Yan Liu
A modified gradient-based neuro-fuzzy learning algorithm and its convergence. Inf. Sci. 180 (9) (2010)
Dongpo Xu, Zhengxue Li, Wei Wu
Convergence of gradient method for a fully recurrent neural network. Soft Comput. 14 (3) (2010)
Jie Yang, Long Li, Yan Liu, Jing Wang, Wei Wu
Choice of initial bias in max-min fuzzy neural networks. IJCNN (2010)
Mingchen Yao, Jie Yang, Huisheng Zhang, Wei Wu
An Attribute Value Reduction Algorithm Based on Set Operations. DBTA (2009)
Huisheng Zhang, Wei Wu
Boundedness and Convergence of Online Gradient Method with Penalty for Linear Output Feedforward Neural Networks. Neural Process. Lett. 29 (3) (2009)
Long Li, Jie Yang, Wei Wu, Tianshuang Wu
An intuitionistic fuzzy associative memory network and its learning rule. GrC (2009)
Huisheng Zhang, Wei Wu, Fei Liu, Mingchen Yao
Boundedness and Convergence of Online Gradient Method With Penalty for Feedforward Neural Networks. IEEE Trans. Neural Networks 20 (6) (2009)
Wei Wu, Dong Nan, Jinling Long, Yu-mei Ma
A comment on "Relaxed conditions for radial-basis function networks to be universal approximators". Neural Networks 21 (10) (2008)
Yan Xiong, Wei Wu, Xidai Kang, Chao Zhang
Training Pi-Sigma Network by Online Gradient Algorithm with Penalty for Small Weight Update. Neural Comput. 19 (12) (2007)
Jie Yang, Wei Wu
Is bias dispensable for fuzzy neural networks? Fuzzy Sets Syst. 158 (24) (2007)
Dongpo Xu, Zhengxue Li, Wei Wu, Xiaoshuai Ding, Di Qu
Convergence of Gradient Descent Algorithm for a Recurrent Neuron. ISNN (3) (2007)
Jinling Long, Wei Wu, Dong Nan
Approximation Capabilities of Sum-of-Product and Sigma-pi-Sigma Neural Networks. Int. J. Neural Syst. 17 (5) (2007)
Jinling Long, Wei Wu, Dong Nan
Uniform Approximation Capabilities of Sum-of-Product and Sigma-Pi-Sigma Neural Networks. ISNN (1) (2007)
Jinling Long, Wei Wu, Dong Nan, Junfang Wang
Uniqueness of Linear Combinations of Ridge Functions. ICNC (2) (2007)
Chao Zhang, Wei Wu, Yan Xiong
Convergence Analysis of Batch Gradient Algorithm for Three Classes of Sigma-Pi Neural Networks. Neural Process. Lett. 26 (3) (2007)
Wei Wu, Dong Nan, Zhengxue Li, Jinling Long
Approximation to a Compact Set of Functions by Feedforward Neural Networks. IJCNN (2007)
Xidai Kang, Yan Xiong, Chao Zhang, Wei Wu
Convergence of Online Gradient Algorithm with Stochastic Inputs for Pi-Sigma Neural Networks. FOCI (2007)
Wei Wu, Feng Li, Jun Kong, Lichang Hou, Bingdui Zhu
A Bottom-Up OCR System for Mathematical Formulas Recognition. ICIC (1) (2006)
Wei Wu, Hongmei Shao, Zhengxue Li
Convergence of Batch BP Algorithm with Penalty for FNN Training. ICONIP (1) (2006)
Naimin Zhang, Wei Wu, Gaofeng Zheng
Convergence of gradient method with momentum for two-Layer feedforward neural networks. IEEE Trans. Neural Networks 17 (2) (2006)
Wei Wu, Guorui Feng, Zhengxue Li, Yuesheng Xu
Deterministic convergence of an online gradient method for BP neural networks. IEEE Trans. Neural Networks 16 (3) (2005)
Zhengxue Li, Wei Wu, Guorui Feng, Huifang Lu
Convergence of an Online Gradient Method for BP Neural Networks with Stochastic Inputs. ICNC (1) (2005)
Jie Yang, Wei Wu, Zhiqiong Shao
A New Training Algorithm for a Fuzzy Perceptron and Its Convergence. ISNN (1) (2005)
Wei Wu, Zhengxue Li, Guorui Feng, Naimin Zhang, Dong Nan, Zhiqiong Shao, Jie Yang, Liqing Zhang, Yuesheng Xu
Recent Developments on Convergence of Online Gradient Methods for Neural Network Training. ISNN (1) (2004)
Wei Wu, Zhiqiong Shao
Convergence of online gradient methods for continuous perceptrons with linearly separable training patterns. Appl. Math. Lett. 16 (7) (2003)
Wei Wu, Guorui Feng, Xin Li
Training Multilayer Perceptrons Via Minimization of Sum of Ridge Functions. Adv. Comput. Math. 17 (4) (2002)