Wei Wu - RankMe

87 papers A* 2B 4Misc 1Journal 63Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A complex-valued widening spiking neural network. Neural Networks Fang Liu, Witold Pedrycz, Qi Xu, Lijun Liu, Jialin Xu, Jie Yang, Wei Wu
2024	J	`jnl`	Zero-order fuzzy neural network with adaptive fuzzy partition and its applications on high-dimensional problems. Neurocomputing Bingjie Zhang, Jian Wang, Chao Zhang, Jie Yang, Tufan Kumbasar, Wei Wu
2023	J	`jnl`	Coding Method Based on Fuzzy C-Means Clustering for Spiking Neural Network With Triangular Spike Response Function. IEEE Trans. Fuzzy Syst. Fang Liu, Witold Pedrycz, Chao Zhang, Jie Yang, Wei Wu
2023	J	`jnl`	Understanding Deep Neural Networks via Linear Separability of Hidden Layers. CoRR Chao Zhang, Xinyu Chen, Wensheng Li, Lixue Liu, Wei Wu, Dacheng Tao
2022	J	`jnl`	A New Fuzzy Spiking Neural Network Based on Neuronal Contribution Degree. IEEE Trans. Fuzzy Syst. Fang Liu, Jie Yang, Witold Pedrycz, Wei Wu
2022	J	`jnl`	A new classifier for imbalanced data with iterative learning process and ensemble operating process. Knowl. Based Syst. Tingting Pan, Witold Pedrycz, Jie Yang, Wei Wu, Yulin Zhang
2022	J	`jnl`	Nonstationary fuzzy neural network based on FCMnet clustering and a modified CG method with Armijo-type rule. Inf. Sci. Bingjie Zhang, Xiaoling Gong, Jian Wang, Fengzhen Tang, Kai Zhang, Wei Wu
2022	J	`jnl`	Spiking Neural Network Regularization With Fixed and Adaptive Drop-Keep Probabilities. IEEE Trans. Neural Networks Learn. Syst. Junhong Zhao, Jie Yang, Jun Wang, Wei Wu
2020	J	`jnl`	Binary Output Layer of Extreme Learning Machine for Solving Multi-class Classification Problems. Neural Process. Lett. Sibo Yang, Chao Zhang, Yuan Bao, Jie Yang, Wei Wu
2020	J	`jnl`	Learning imbalanced datasets based on SMOTE and Gaussian distribution. Inf. Sci. Tingting Pan, Junhong Zhao, Wei Wu, Jie Yang
2019	J	`jnl`	A Data-Driven Framework for Tunnel Geological-Type Prediction Based on TBM Operating Data. IEEE Access Junhong Zhao, Maolin Shi, Gang Hu, Xueguan Song, Chao Zhang, Dacheng Tao, Wei Wu
2019	J	`jnl`	A Genetic XK-Means Algorithm with Empty Cluster Reassignment. Symmetry Chun Hua, Feng Li, Chao Zhang, Jie Yang, Wei Wu
2019	J	`jnl`	Binary Output Layer of Feedforward Neural Networks for Solving Multi-Class Classification Problems. IEEE Access Sibo Yang, Chao Zhang, Wei Wu
2019	J	`jnl`	Extreme learning machine with local connections. Neurocomputing Feng Li, Jie Yang, Mingchen Yao, Sibo Yang, Wei Wu
2019	J	`jnl`	From proof-of-concept to exploitable. Cybersecur. Yan Wang, Wei Wu, Chao Zhang, Xinyu Xing, Xiaorui Gong, Wei Zou
2019	J	`jnl`	Group L IEEE Access Habtamu Zegeye Alemu, Junhong Zhao, Feng Li, Wei Wu
2019	A*	`conf`	KEPLER: Facilitating Control-flow Hijacking Primitive Evaluation for Linux Kernel Vulnerabilities. USENIX Security Symposium Wei Wu, Yueqi Chen, Xinyu Xing, Wei Zou
2019	J	`jnl`	Subspace Clustering Under Complex Noise. IEEE Trans. Circuits Syst. Video Technol. Baohua Li, Huchuan Lu, Ying Zhang, Zhouchen Lin, Wei Wu
2018	J	`jnl`	A Modified Sigma-Pi-Sigma Neural Network with Adaptive Choice of Multinomials. CoRR Feng Li, Yan Liu, Khidir Shaib Mohamed, Wei Wu
2018	J	`jnl`	A New Conjugate Gradient Method with Smoothing L Neural Process. Lett. Wenyu Li, Yan Liu, Jie Yang, Wei Wu
2018	J	`jnl`	Binary output layer of feedforward neural networks for solving multi-class classification problems. CoRR Sibo Yang, Chao Zhang, Wei Wu
2018	J	`jnl`	Extreme Learning Machine with Local Connections. CoRR Feng Li, Sibo Yang, Huanhuan Huang, Wei Wu
2018	A*	`conf`	FUZE: Towards Facilitating Exploit Generation for Kernel Use-After-Free Vulnerabilities. USENIX Security Symposium Wei Wu, Yueqi Chen, Jun Xu, Xinyu Xing, Xiaorui Gong, Wei Zou
2018	J	`jnl`	Feedforward Neural Networks with a Hidden Layer Regularization Method. Symmetry Habtamu Zegeye Alemu, Wei Wu, Junhong Zhao
2018	J	`jnl`	Multi-functional nearest-neighbour classification. Soft Comput. Yanpeng Qu, Changjing Shang, Neil Mac Parthaláin, Wei Wu, Qiang Shen
2018	J	`jnl`	Smooth group Neurocomputing Feng Li, Jacek M. Zurada, Wei Wu
2018	J	`jnl`	Subspace Clustering With K-Support Norm. IEEE Trans. Circuits Syst. Video Technol. Baohua Li, Huchuan Lu, Fu Li, Wei Wu
2018	J	`jnl`	The convergence analysis of SpikeProp algorithm with smoothing L1∕2 regularization. Neural Networks Junhong Zhao, Jacek M. Zurada, Jie Yang, Wei Wu
2017	J	`jnl`	Input Layer Regularization of Multilayer Feedforward Neural Networks. IEEE Access Feng Li, Jacek M. Zurada, Yan Liu, Wei Wu
2017	J	`jnl`	Prediction of essential proteins based on subcellular localization and gene expression correlation. BMC Bioinform. Ye-tian Fan, Xiwei Tang, Xiaohua Hu, Wei Wu, Qing Ping
2017	—	`conf`	Subspace Clustering Under Multiplicative Noise Corruption. IScIDE Baohua Li, Wei Wu
2016	—	`conf`	A novel algorithm for identifying essential proteins by integrating subcellular localization. BIBM Ye-tian Fan, Xiaohua Hu, Xiwei Tang, Qing Ping, Wei Wu
2016	J	`jnl`	Extreme learning machine for interval neural networks. Neural Comput. Appl. Dakun Yang, Zhengxue Li, Wei Wu
2015	J	`jnl`	A Modified Learning Algorithm for Interval Perceptrons with Interval Weights. Neural Process. Lett. Dakun Yang, Zhengxue Li, Yan Liu, Huisheng Zhang, Wei Wu
2015	—	`conf`	A novel dimensionality reduction algorithm based on Laplace matrix for microbiome data analysis. BIBM Yetian Fan, Xingpeng Jiang, Xiaohua Hu, Bo Song, Yuan Ling, Wei Wu
2015	J	`jnl`	An Algorithm for Motif Discovery with Iteration on Lengths of Motifs. IEEE ACM Trans. Comput. Biol. Bioinform. Yetian Fan, Wei Wu, Jie Yang, Wenyu Yang, Rongrong Liu
2015	J	`jnl`	Convergence Analysis of a New Self Organizing Map Based Optimization (SOMO) Algorithm. Cogn. Comput. Atlas Khan, Li Zheng Xue, Wei Wu, Yanpeng Qu, Amir Hussain, Ricardo Z. N. Vêncio
2015	J	`jnl`	Convergence of batch gradient learning algorithm with smoothing L Neurocomputing Yan Liu, Zhengxue Li, Dakun Yang, Kh. Sh. Mohamed, Jing Wang, Wei Wu
2015	J	`jnl`	Kernel-based Fuzzy-rough Nearest-neighbour Classification for Mammographic Risk Analysis. Int. J. Fuzzy Syst. Yanpeng Qu, Changjing Shang, Qiang Shen, Neil Mac Parthaláin, Wei Wu
2014	J	`jnl`	A modified gradient learning algorithm with smoothing L Neurocomputing Yan Liu, Wei Wu, Qin-wei Fan, Dakun Yang, Jian Wang
2014	J	`jnl`	A pruning algorithm with L 1/2 regularizer for extreme learning machine. J. Zhejiang Univ. Sci. C Ye-tian Fan, Wei Wu, Wenyu Yang, Qin-wei Fan, Jian Wang
2014	J	`jnl`	Batch gradient method with smoothing L Neural Networks Wei Wu, Qin-wei Fan, Jacek M. Zurada, Jian Wang, Dakun Yang, Yan Liu
2014	J	`jnl`	Convergence of online gradient method for feedforward neural networks with smoothing L Neurocomputing Qin-wei Fan, Jacek M. Zurada, Wei Wu
2014	J	`jnl`	Double parallel feedforward neural network based on extreme learning machine with L Neurocomputing Atlas Khan, Jie Yang, Wei Wu
2013	J	`jnl`	Fuzzy similarity-based nearest-neighbour classification as alternatives to their fuzzy-rough parallels. Int. J. Approx. Reason. Yanpeng Qu, Qiang Shen, Neil Mac Parthaláin, Changjing Shang, Wei Wu
2013	J	`jnl`	Modified gradient-based learning for local coupled feedforward neural networks with Gaussian basis function. Neural Comput. Appl. Yanpeng Qu, Changjing Shang, Jie Yang, Wei Wu, Qiang Shen
2013	—	`conf`	The Binary Output Units of Neural Network. ISNN (1) Qilin Sun, Yan Liu, Zhengxue Li, Sibo Yang, Wei Wu, Jiuwu Jin
2012	—	`conf`	A Modified One-Layer Spiking Neural Network Involves Derivative of the State Function at Firing Time. ISNN (1) Wenyu Yang, Jie Yang, Wei Wu
2012	J	`jnl`	A Modified Spiking Neuron that Involves Derivative of the State Function at Firing Time. Neural Process. Lett. Wenyu Yang, Jie Yang, Wei Wu
2012	J	`jnl`	A remark on the error-backpropagation learning algorithm for spiking neural networks. Appl. Math. Lett. Jie Yang, Wenyu Yang, Wei Wu
2012	J	`jnl`	Boundedness and convergence of batch back-propagation algorithm with penalty for feedforward neural networks. Neurocomputing Huisheng Zhang, Wei Wu, Mingchen Yao
2012	—	`conf`	Computational Properties of Cyclic and Almost-Cyclic Learning with Momentum for Feedforward Neural Networks. ISNN (1) Jian Wang, Wei Wu, Jacek M. Zurada
2012	J	`jnl`	Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning with penalty. Neural Networks Jian Wang, Wei Wu, Jacek M. Zurada
2012	—	`conf`	MaxMin-SOMO: An SOM Optimization Algorithm for Simultaneously Finding Maximum and Minimum of a Function. ISNN (1) Wei Wu, Atlas Khan
2012	J	`jnl`	Negative effects of sufficiently small initialweights on back-propagation neural networks. J. Zhejiang Univ. Sci. C Yan Liu, Jie Yang, Long Li, Wei Wu
2011	J	`jnl`	Binary Higher Order Neural Networks for Realizing Boolean Functions. IEEE Trans. Neural Networks Chao Zhang, Jie Yang, Wei Wu
2011	B	`conf`	Boundedness and convergence of MPN for cyclic and almost cyclic learning with penalty. IJCNN Jian Wang, Wei Wu, Jacek M. Zurada
2011	J	`jnl`	Convergence analysis of online gradient method for BP neural networks. Neural Networks Wei Wu, Jian Wang, Mingsong Cheng, Zhengxue Li
2011	J	`jnl`	Convergence of Cyclic and Almost-Cyclic Learning With Momentum for Feedforward Neural Networks. IEEE Trans. Neural Networks Jian Wang, Jie Yang, Wei Wu
2011	J	`jnl`	Deterministic convergence of conjugate gradient method for feedforward neural networks. Neurocomputing Jian Wang, Wei Wu, Jacek M. Zurada
2011	B	`conf`	Kernel-based fuzzy-rough nearest neighbour classification. FUZZ-IEEE Yanpeng Qu, Changjing Shang, Qiang Shen, Neil Mac Parthaláin, Wei Wu
2010	J	`jnl`	A modified gradient-based neuro-fuzzy learning algorithm and its convergence. Inf. Sci. Wei Wu, Long Li, Jie Yang, Yan Liu
2010	B	`conf`	Choice of initial bias in max-min fuzzy neural networks. IJCNN Jie Yang, Long Li, Yan Liu, Jing Wang, Wei Wu
2010	J	`jnl`	Convergence of gradient method for a fully recurrent neural network. Soft Comput. Dongpo Xu, Zhengxue Li, Wei Wu
2009	—	`conf`	An Attribute Value Reduction Algorithm Based on Set Operations. DBTA Mingchen Yao, Jie Yang, Huisheng Zhang, Wei Wu
2009	Misc	`conf`	An intuitionistic fuzzy associative memory network and its learning rule. GrC Long Li, Jie Yang, Wei Wu, Tianshuang Wu
2009	J	`jnl`	Boundedness and Convergence of Online Gradient Method With Penalty for Feedforward Neural Networks. IEEE Trans. Neural Networks Huisheng Zhang, Wei Wu, Fei Liu, Mingchen Yao
2009	J	`jnl`	Boundedness and Convergence of Online Gradient Method with Penalty for Linear Output Feedforward Neural Networks. Neural Process. Lett. Huisheng Zhang, Wei Wu
2008	J	`jnl`	A comment on "Relaxed conditions for radial-basis function networks to be universal approximators". Neural Networks Wei Wu, Dong Nan, Jinling Long, Yu-Mei Ma
2007	B	`conf`	Approximation to a Compact Set of Functions by Feedforward Neural Networks. IJCNN Wei Wu, Dong Nan, Zhengxue Li, Jinling Long
2007	J	`jnl`	Convergence Analysis of Batch Gradient Algorithm for Three Classes of Sigma-Pi Neural Networks. Neural Process. Lett. Chao Zhang, Wei Wu, Yan Xiong
2007	—	`conf`	Convergence of Gradient Descent Algorithm for a Recurrent Neuron. ISNN (3) Dongpo Xu, Zhengxue Li, Wei Wu, Xiaoshuai Ding, Di Qu
2007	—	`conf`	Convergence of Online Gradient Algorithm with Stochastic Inputs for Pi-Sigma Neural Networks. FOCI Xidai Kang, Yan Xiong, Chao Zhang, Wei Wu
2007	J	`jnl`	Is bias dispensable for fuzzy neural networks? Fuzzy Sets Syst. Jie Yang, Wei Wu
2007	J	`jnl`	L Int. J. Neural Syst. Jinling Long, Wei Wu, Dong Nan
2007	J	`jnl`	Training Pi-Sigma Network by Online Gradient Algorithm with Penalty for Small Weight Update. Neural Comput. Yan Xiong, Wei Wu, Xidai Kang, Chao Zhang
2007	—	`conf`	Uniform Approximation Capabilities of Sum-of-Product and Sigma-Pi-Sigma Neural Networks. ISNN (1) Jinling Long, Wei Wu, Dong Nan
2007	—	`conf`	Uniqueness of Linear Combinations of Ridge Functions. ICNC (2) Jinling Long, Wei Wu, Dong Nan, Junfang Wang
2006	—	`conf`	A Bottom-Up OCR System for Mathematical Formulas Recognition. ICIC (1) Wei Wu, Feng Li, Jun Kong, Lichang Hou, Bingdui Zhu
2006	—	`conf`	Convergence of Batch BP Algorithm with Penalty for FNN Training. ICONIP (1) Wei Wu, Hongmei Shao, Zhengxue Li
2006	J	`jnl`	Convergence of gradient method with momentum for two-Layer feedforward neural networks. IEEE Trans. Neural Networks Naimin Zhang, Wei Wu, Gaofeng Zheng
2005	—	`conf`	A New Training Algorithm for a Fuzzy Perceptron and Its Convergence. ISNN (1) Jie Yang, Wei Wu, Zhiqiong Shao
2005	—	`conf`	Convergence of an Online Gradient Method for BP Neural Networks with Stochastic Inputs. ICNC (1) Zhengxue Li, Wei Wu, Guorui Feng, Huifang Lu
2005	J	`jnl`	Deterministic convergence of an online gradient method for BP neural networks. IEEE Trans. Neural Networks Wei Wu, Guorui Feng, Zhengxue Li, Yuesheng Xu
2004	—	`conf`	Recent Developments on Convergence of Online Gradient Methods for Neural Network Training. ISNN (1) Wei Wu, Zhengxue Li, Guorui Feng, Naimin Zhang, Dong Nan, Zhiqiong Shao, Jie Yang, Liqing Zhang, Yuesheng Xu
2003	J	`jnl`	Convergence of online gradient methods for continuous perceptrons with linearly separable training patterns. Appl. Math. Lett. Wei Wu, Zhiqiong Shao
2002	J	`jnl`	Training Multilayer Perceptrons Via Minimization of Sum of Ridge Functions. Adv. Comput. Math. Wei Wu, Guorui Feng, Xin Li