Jie Yang

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 20

Top Topics

Imbalanced Data

Motif Discovery

Top Venues

IEEE Trans. Fuzzy Syst.

Publications

Bingjie Zhang, Jian Wang, Chao Zhang, Jie Yang, Tufan Kumbasar, Wei Wu
Zero-order fuzzy neural network with adaptive fuzzy partition and its applications on high-dimensional problems. Neurocomputing 569 (2024)
Tingting Pan, Witold Pedrycz, Jie Yang, Jian Wang
An improved generative adversarial network to oversample imbalanced datasets. Eng. Appl. Artif. Intell. 132 (2024)
Yueqi Chen, Witold Pedrycz, Jian Wang, Chao Zhang, Jie Yang
A New Oversampling Method Based on Triangulation of Sample Space. IEEE Trans. Syst. Man Cybern. Syst. 54 (2) (2024)
Zongqi Liu, Xueguan Song, Jie Yang, Chao Zhang, Dacheng Tao
Generative adversarial networks for multi-fidelity matrix completion with massive missing entries. Inf. Fusion 111 (2024)
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)
Jie Yang, Junhong Zhao
A novel parallel merge neural network with streams of spiking neural network and artificial neural network. Inf. Sci. 642 (2023)
Jie Yang, Zhenhao Jiang, Tingting Pan, Yueqi Chen, Witold Pedrycz
Oversampling method based on GAN for tabular binary classification problems. Intell. Data Anal. 27 (5) (2023)
Yueqi Chen, Witold Pedrycz, Jie Yang
A new boundary-degree-based oversampling method for imbalanced data. Appl. Intell. 53 (22) (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)
Zhenhao Jiang, Tingting Pan, Chao Zhang, Jie Yang
A New Oversampling Method Based on the Classification Contribution Degree. Symmetry 13 (2) (2021)
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)
Feng Li, Jie Yang, Mingchen Yao, Sibo Yang, Wei Wu
Extreme learning machine with local connections. Neurocomputing 368 (2019)
Chun Hua, Feng Li, Chao Zhang, Jie Yang, Wei Wu
A Genetic XK-Means Algorithm with Empty Cluster Reassignment. Symmetry 11 (6) (2019)
Lu Lu, Tingting Pan, Junhong Zhao, Jie Yang
Interpretability for Neural Networks from the Perspective of Probability Density. SSCI (2019)
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)
Junhong Zhao, Jacek M. Zurada, Jie Yang, Wei Wu
The convergence analysis of SpikeProp algorithm with smoothing L1∕2 regularization. Neural Networks 103 (2018)
Jie Yang, Pingping Zhang, Yan Liu
Robustness of classification ability of spiking neural networks. CoRR (2018)
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)
Atlas Khan, Jie Yang, Wei Wu
regularizer. Neurocomputing 128 (2014)
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)
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)
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)
Jie Yang, Wenyu Yang, Wei Wu
A remark on the error-backpropagation learning algorithm for spiking neural networks. Appl. Math. Lett. 25 (8) (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)
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)
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)
Long Li, Jie Yang, Wei Wu, Tianshuang Wu
An intuitionistic fuzzy associative memory network and its learning rule. GrC (2009)
Jie Yang, Long Li, Yan Liu
Dispensability of Bias for Three-layer Max-min Fuzzy Neural Networks. ICNC (1) (2007)
Jie Yang, Wei Wu
Is bias dispensable for fuzzy neural networks? Fuzzy Sets Syst. 158 (24) (2007)
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)