Training Multilayer Perceptrons Via Minimization of Sum of Ridge Functions. - Wei Wu 010; Guorui Feng; Xin Li (Adv. Comput. Math., 2002)

Convergence of online gradient methods for continuous perceptrons with linearly separable training patterns. - Wei Wu 010; Zhiqiong Shao (Appl. Math. Lett., 2003)

Recent Developments on Convergence of Online Gradient Methods for Neural Network Training. - Wei Wu 010; Zhengxue Li; Guorui Feng; Naimin Zhang; Dong Nan; Zhiqiong Shao; Jie Yang 007; Liqing Zhang; Yuesheng Xu (ISNN (1), 2004)

Convergence of an Online Gradient Method for BP Neural Networks with Stochastic Inputs. - Zhengxue Li; Wei Wu 010; Guorui Feng; Huifang Lu (ICNC (1), 2005)

A New Training Algorithm for a Fuzzy Perceptron and Its Convergence. - Jie Yang 007; Wei Wu 010; Zhiqiong Shao (ISNN (1), 2005)

Deterministic convergence of an online gradient method for BP neural networks. - Wei Wu 010; Guorui Feng; Zhengxue Li; Yuesheng Xu (IEEE Trans. Neural Networks, 2005)

A Bottom-Up OCR System for Mathematical Formulas Recognition. - Wei Wu 010; Feng Li 006; Jun Kong; Lichang Hou; Bingdui Zhu (ICIC (1), 2006)

Convergence of Batch BP Algorithm with Penalty for FNN Training. - Wei Wu 010; Hongmei Shao; Zhengxue Li (ICONIP (1), 2006)

Convergence of gradient method with momentum for two-Layer feedforward neural networks. - Naimin Zhang; Wei Wu 010; Gaofeng Zheng (IEEE Trans. Neural Networks, 2006)

Convergence of Online Gradient Algorithm with Stochastic Inputs for Pi-Sigma Neural Networks. - Xidai Kang; Yan Xiong; Chao Zhang 017; Wei Wu 010 (FOCI, 2007)

Uniqueness of Linear Combinations of Ridge Functions. - Jinling Long; Wei Wu 010; Dong Nan; Junfang Wang (ICNC (2), 2007)

Approximation to a Compact Set of Functions by Feedforward Neural Networks. - Wei Wu 010; Dong Nan; Zhengxue Li; Jinling Long (IJCNN, 2007)

Uniform Approximation Capabilities of Sum-of-Product and Sigma-Pi-Sigma Neural Networks. - Jinling Long; Wei Wu 010; Dong Nan (ISNN (1), 2007)

Convergence of Gradient Descent Algorithm for a Recurrent Neuron. - Dongpo Xu; Zhengxue Li; Wei Wu 010; Xiaoshuai Ding; Di Qu (ISNN (3), 2007)

Is bias dispensable for fuzzy neural networks? - Jie Yang 007; Wei Wu 010 (Fuzzy Sets Syst., 2007)

LP Approximation Capabilities of Sum-of-Product and Sigma-pi-Sigma Neural Networks. - Jinling Long; Wei Wu 010; Dong Nan (Int. J. Neural Syst., 2007)

Training Pi-Sigma Network by Online Gradient Algorithm with Penalty for Small Weight Update. - Yan Xiong; Wei Wu 010; Xidai Kang; Chao Zhang 017 (Neural Comput., 2007)

Convergence Analysis of Batch Gradient Algorithm for Three Classes of Sigma-Pi Neural Networks. - Chao Zhang 017; Wei Wu 010; Yan Xiong (Neural Process. Lett., 2007)

A comment on "Relaxed conditions for radial-basis function networks to be universal approximators". - Wei Wu 010; Dong Nan; Jinling Long; Yu-mei Ma (Neural Networks, 2008)

An Attribute Value Reduction Algorithm Based on Set Operations. - Mingchen Yao; Jie Yang 007; Huisheng Zhang; Wei Wu 010 (DBTA, 2009)

An intuitionistic fuzzy associative memory network and its learning rule. - Long Li; Jie Yang 007; Wei Wu 010; Tianshuang Wu (GrC, 2009)

Boundedness and Convergence of Online Gradient Method with Penalty for Linear Output Feedforward Neural Networks. - Huisheng Zhang; Wei Wu 010 (Neural Process. Lett., 2009)

Boundedness and Convergence of Online Gradient Method With Penalty for Feedforward Neural Networks. - Huisheng Zhang; Wei Wu 010; Fei Liu 025; Mingchen Yao (IEEE Trans. Neural Networks, 2009)

Choice of initial bias in max-min fuzzy neural networks. - Jie Yang 007; Long Li; Yan Liu 015; Jing Wang; Wei Wu 010 (IJCNN, 2010)

A modified gradient-based neuro-fuzzy learning algorithm and its convergence. - Wei Wu 010; Long Li; Jie Yang 007; Yan Liu 015 (Inf. Sci., 2010)

Convergence of gradient method for a fully recurrent neural network. - Dongpo Xu; Zhengxue Li; Wei Wu 010 (Soft Comput., 2010)

Kernel-based fuzzy-rough nearest neighbour classification. - Yanpeng Qu; Changjing Shang; Qiang Shen 001; Neil Mac Parthaláin; Wei Wu 010 (FUZZ-IEEE, 2011)

Boundedness and convergence of MPN for cyclic and almost cyclic learning with penalty. - Jian Wang 010; Wei Wu 010; Jacek M. Zurada (IJCNN, 2011)

Deterministic convergence of conjugate gradient method for feedforward neural networks. - Jian Wang 010; Wei Wu 010; Jacek M. Zurada (Neurocomputing, 2011)

Convergence analysis of online gradient method for BP neural networks. - Wei Wu 010; Jian Wang 010; Mingsong Cheng; Zhengxue Li (Neural Networks, 2011)

Convergence of Cyclic and Almost-Cyclic Learning With Momentum for Feedforward Neural Networks. - Jian Wang 010; Jie Yang 007; Wei Wu 010 (IEEE Trans. Neural Networks, 2011)

Binary Higher Order Neural Networks for Realizing Boolean Functions. - Chao Zhang 017; Jie Yang 007; Wei Wu 010 (IEEE Trans. Neural Networks, 2011)

Computational Properties of Cyclic and Almost-Cyclic Learning with Momentum for Feedforward Neural Networks. - Jian Wang 010; Wei Wu 010; Jacek M. Zurada (ISNN (1), 2012)

MaxMin-SOMO: An SOM Optimization Algorithm for Simultaneously Finding Maximum and Minimum of a Function. - Wei Wu 010; Atlas Khan (ISNN (1), 2012)

A Modified One-Layer Spiking Neural Network Involves Derivative of the State Function at Firing Time. - Wenyu Yang; Jie Yang 007; Wei Wu 010 (ISNN (1), 2012)

A remark on the error-backpropagation learning algorithm for spiking neural networks. - Jie Yang 007; Wenyu Yang; Wei Wu 010 (Appl. Math. Lett., 2012)

Boundedness and convergence of batch back-propagation algorithm with penalty for feedforward neural networks. - Huisheng Zhang; Wei Wu 010; Mingchen Yao (Neurocomputing, 2012)

Negative effects of sufficiently small initialweights on back-propagation neural networks. - Yan Liu 015; Jie Yang 007; Long Li; Wei Wu 010 (J. Zhejiang Univ. Sci. C, 2012)

Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning with penalty. - Jian Wang 010; Wei Wu 010; Jacek M. Zurada (Neural Networks, 2012)

A Modified Spiking Neuron that Involves Derivative of the State Function at Firing Time. - Wenyu Yang; Jie Yang 007; Wei Wu 010 (Neural Process. Lett., 2012)

The Binary Output Units of Neural Network. - Qilin Sun 004; Yan Liu 015; Zhengxue Li; Sibo Yang; Wei Wu 010; Jiuwu Jin (ISNN (1), 2013)

Fuzzy similarity-based nearest-neighbour classification as alternatives to their fuzzy-rough parallels. - Yanpeng Qu; Qiang Shen 001; Neil Mac Parthaláin; Changjing Shang; Wei Wu 010 (Int. J. Approx. Reason., 2013)

Modified gradient-based learning for local coupled feedforward neural networks with Gaussian basis function. - Yanpeng Qu; Changjing Shang; Jie Yang 007; Wei Wu 010; Qiang Shen 001 (Neural Comput. Appl., 2013)

Convergence of online gradient method for feedforward neural networks with smoothing L1/2 regularization penalty. - Qin-wei Fan; Jacek M. Zurada; Wei Wu 010 (Neurocomputing, 2014)

Double parallel feedforward neural network based on extreme learning machine with L1/2 regularizer. - Atlas Khan; Jie Yang 007; Wei Wu 010 (Neurocomputing, 2014)

A modified gradient learning algorithm with smoothing L1/2 regularization for Takagi-Sugeno fuzzy models. - Yan Liu 015; Wei Wu 010; Qin-wei Fan; Dakun Yang; Jian Wang 010 (Neurocomputing, 2014)

A pruning algorithm with L 1/2 regularizer for extreme learning machine. - Ye-tian Fan; Wei Wu 010; Wenyu Yang; Qin-wei Fan; Jian Wang 010 (J. Zhejiang Univ. Sci. C, 2014)

Batch gradient method with smoothing L1/2 regularization for training of feedforward neural networks. - Wei Wu 010; Qin-wei Fan; Jacek M. Zurada; Jian Wang 010; Dakun Yang; Yan Liu 015 (Neural Networks, 2014)

A novel dimensionality reduction algorithm based on Laplace matrix for microbiome data analysis. - Yetian Fan; Xingpeng Jiang; Xiaohua Hu 001; Bo Song; Yuan Ling; Wei Wu 010 (BIBM, 2015)

Convergence Analysis of a New Self Organizing Map Based Optimization (SOMO) Algorithm. - Atlas Khan; Li Zheng Xue; Wei Wu 010; Yanpeng Qu; Amir Hussain 001; Ricardo Z. N. Vêncio (Cogn. Comput., 2015)

Kernel-based Fuzzy-rough Nearest-neighbour Classification for Mammographic Risk Analysis. - Yanpeng Qu; Changjing Shang; Qiang Shen 001; Neil Mac Parthaláin; Wei Wu 010 (Int. J. Fuzzy Syst., 2015)

Convergence of batch gradient learning algorithm with smoothing L1/2 regularization for Sigma-Pi-Sigma neural networks. - Yan Liu 015; Zhengxue Li; Dakun Yang; Kh. Sh. Mohamed; Jing Wang; Wei Wu 010 (Neurocomputing, 2015)

A Modified Learning Algorithm for Interval Perceptrons with Interval Weights. - Dakun Yang; Zhengxue Li; Yan Liu 015; Huisheng Zhang; Wei Wu 010 (Neural Process. Lett., 2015)

An Algorithm for Motif Discovery with Iteration on Lengths of Motifs. - Yetian Fan; Wei Wu 010; Jie Yang 007; Wenyu Yang; Rongrong Liu (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

A novel algorithm for identifying essential proteins by integrating subcellular localization. - Ye-tian Fan; Xiaohua Hu 001; Xiwei Tang; Qing Ping; Wei Wu 010 (BIBM, 2016)

Extreme learning machine for interval neural networks. - Dakun Yang; Zhengxue Li; Wei Wu 010 (Neural Comput. Appl., 2016)

Subspace Clustering Under Multiplicative Noise Corruption. - Baohua Li; Wei Wu 010 (IScIDE, 2017)

Input Layer Regularization of Multilayer Feedforward Neural Networks. - Feng Li 006; Jacek M. Zurada; Yan Liu 015; Wei Wu 010 (IEEE Access, 2017)

Prediction of essential proteins based on subcellular localization and gene expression correlation. - Ye-tian Fan; Xiwei Tang; Xiaohua Hu 001; Wei Wu 010; Qing Ping (BMC Bioinform., 2017)

FUZE: Towards Facilitating Exploit Generation for Kernel Use-After-Free Vulnerabilities. - Wei Wu 010; Yueqi Chen 001; Jun Xu 024; Xinyu Xing 001; Xiaorui Gong; Wei Zou (USENIX Security Symposium, 2018)

Extreme Learning Machine with Local Connections. - Feng Li 006; Sibo Yang; Huanhuan Huang; Wei Wu 010 (CoRR, 2018)

A Modified Sigma-Pi-Sigma Neural Network with Adaptive Choice of Multinomials. - Feng Li 006; Yan Liu 015; Khidir Shaib Mohamed; Wei Wu 010 (CoRR, 2018)

Smooth group L1/2 regularization for input layer of feedforward neural networks. - Feng Li 006; Jacek M. Zurada; Wei Wu 010 (Neurocomputing, 2018)

The convergence analysis of SpikeProp algorithm with smoothing L1∕2 regularization. - Junhong Zhao; Jacek M. Zurada; Jie Yang 007; Wei Wu 010 (Neural Networks, 2018)

A New Conjugate Gradient Method with Smoothing L1/2 Regularization Based on a Modified Secant Equation for Training Neural Networks. - Wenyu Li; Yan Liu 015; Jie Yang 007; Wei Wu 010 (Neural Process. Lett., 2018)

Multi-functional nearest-neighbour classification. - Yanpeng Qu; Changjing Shang; Neil Mac Parthaláin; Wei Wu 010; Qiang Shen 001 (Soft Comput., 2018)

Feedforward Neural Networks with a Hidden Layer Regularization Method. - Habtamu Zegeye Alemu; Wei Wu 010; Junhong Zhao (Symmetry, 2018)

Subspace Clustering With K-Support Norm. - Baohua Li; Huchuan Lu; Fu Li 003; Wei Wu 010 (IEEE Trans. Circuits Syst. Video Technol., 2018)

KEPLER: Facilitating Control-flow Hijacking Primitive Evaluation for Linux Kernel Vulnerabilities. - Wei Wu 010; Yueqi Chen 001; Xinyu Xing 001; Wei Zou (USENIX Security Symposium, 2019)

Group L1/2 Regularization for Pruning Hidden Layer Nodes of Feedforward Neural Networks. - Habtamu Zegeye Alemu; Junhong Zhao; Feng Li 006; Wei Wu 010 (IEEE Access, 2019)

Binary Output Layer of Feedforward Neural Networks for Solving Multi-Class Classification Problems. - Sibo Yang; Chao Zhang 017; Wei Wu 010 (IEEE Access, 2019)

A Data-Driven Framework for Tunnel Geological-Type Prediction Based on TBM Operating Data. - Junhong Zhao; Maolin Shi; Gang Hu; Xueguan Song; Chao Zhang 017; Dacheng Tao; Wei Wu 010 (IEEE Access, 2019)

From proof-of-concept to exploitable. - Yan Wang; Wei Wu 010; Chao Zhang 008; Xinyu Xing 001; Xiaorui Gong; Wei Zou (Cybersecur., 2019)

Extreme learning machine with local connections. - Feng Li 006; Jie Yang 007; Mingchen Yao; Sibo Yang; Wei Wu 010 (Neurocomputing, 2019)

A Genetic XK-Means Algorithm with Empty Cluster Reassignment. - Chun Hua; Feng Li 006; Chao Zhang 017; Jie Yang 007; Wei Wu 010 (Symmetry, 2019)

Subspace Clustering Under Complex Noise. - Baohua Li; Huchuan Lu; Ying Zhang 021; Zhouchen Lin; Wei Wu 010 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Learning imbalanced datasets based on SMOTE and Gaussian distribution. - Tingting Pan; Junhong Zhao; Wei Wu 010; Jie Yang 007 (Inf. Sci., 2020)

Binary Output Layer of Extreme Learning Machine for Solving Multi-class Classification Problems. - Sibo Yang; Chao Zhang 017; Yuan Bao; Jie Yang 007; Wei Wu 010 (Neural Process. Lett., 2020)

Nonstationary fuzzy neural network based on FCMnet clustering and a modified CG method with Armijo-type rule. - Bingjie Zhang 001; Xiaoling Gong; Jian Wang 010; Fengzhen Tang; Kai Zhang 029; Wei Wu 010 (Inf. Sci., 2022)

A new classifier for imbalanced data with iterative learning process and ensemble operating process. - Tingting Pan; Witold Pedrycz; Jie Yang 007; Wei Wu 010; Yulin Zhang (Knowl. Based Syst., 2022)

A New Fuzzy Spiking Neural Network Based on Neuronal Contribution Degree. - Fang Liu 017; Jie Yang 007; Witold Pedrycz; Wei Wu 010 (IEEE Trans. Fuzzy Syst., 2022)

Spiking Neural Network Regularization With Fixed and Adaptive Drop-Keep Probabilities. - Junhong Zhao; Jie Yang 007; Jun Wang 002; Wei Wu 010 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Understanding Deep Neural Networks via Linear Separability of Hidden Layers. - Chao Zhang 008; Xinyu Chen; Wensheng Li; Lixue Liu; Wei Wu 010; Dacheng Tao (CoRR, 2023)

Coding Method Based on Fuzzy C-Means Clustering for Spiking Neural Network With Triangular Spike Response Function. - Fang Liu 017; Witold Pedrycz; Chao Zhang 017; Jie Yang 007; Wei Wu 010 (IEEE Trans. Fuzzy Syst., 2023)

Zero-order fuzzy neural network with adaptive fuzzy partition and its applications on high-dimensional problems. - Bingjie Zhang 001; Jian Wang 010; Chao Zhang 017; Jie Yang 007; Tufan Kumbasar; Wei Wu 010 (Neurocomputing, 2024)