Jie Yang - RankMe

41 papers B 1Misc 1Journal 33Unranked 6

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
2025	J	`jnl`	(δ, ε)-K Segmentation for Characterizing Well-Clusterable Sets. IEEE Trans. Neural Networks Learn. Syst. Xinyu Chen, Jian Wang, Jie Yang, Chao Zhang, Dacheng Tao
2025	J	`jnl`	Generative adversarial physics-informed neural networks for solving forward and inverse problem with small labeled samples. Comput. Math. Appl. Wensheng Li, Chuncheng Wang, Hanting Guan, Jian Wang, Jie Yang, Chao Zhang, Dacheng Tao
2025	J	`jnl`	Oversampling With GAN via Meta-Learning for Imbalanced Data. IEEE Trans. Multim. Yueqi Chen, Witold Pedrycz, Chao Zhang, Jian Wang, Jie Yang
2024	J	`jnl`	A New Oversampling Method Based on Triangulation of Sample Space. IEEE Trans. Syst. Man Cybern. Syst. Yueqi Chen, Witold Pedrycz, Jian Wang, Chao Zhang, Jie Yang
2024	J	`jnl`	An improved generative adversarial network to oversample imbalanced datasets. Eng. Appl. Artif. Intell. Tingting Pan, Witold Pedrycz, Jie Yang, Jian Wang
2024	J	`jnl`	Generative adversarial networks for multi-fidelity matrix completion with massive missing entries. Inf. Fusion Zongqi Liu, Xueguan Song, Jie Yang, Chao Zhang, Dacheng Tao
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`	A new boundary-degree-based oversampling method for imbalanced data. Appl. Intell. Yueqi Chen, Witold Pedrycz, Jie Yang
2023	J	`jnl`	A novel parallel merge neural network with streams of spiking neural network and artificial neural network. Inf. Sci. Jie Yang, Junhong Zhao
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`	Oversampling method based on GAN for tabular binary classification problems. Intell. Data Anal. Jie Yang, Zhenhao Jiang, Tingting Pan, Yueqi Chen, Witold Pedrycz
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`	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
2021	J	`jnl`	A New Oversampling Method Based on the Classification Contribution Degree. Symmetry Zhenhao Jiang, Tingting Pan, Chao Zhang, Jie Yang
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 Genetic XK-Means Algorithm with Empty Cluster Reassignment. Symmetry Chun Hua, Feng Li, Chao Zhang, Jie Yang, Wei Wu
2019	J	`jnl`	Extreme learning machine with local connections. Neurocomputing Feng Li, Jie Yang, Mingchen Yao, Sibo Yang, Wei Wu
2019	—	`conf`	Interpretability for Neural Networks from the Perspective of Probability Density. SSCI Lu Lu, Tingting Pan, Junhong Zhao, Jie Yang
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`	Robustness of classification ability of spiking neural networks. CoRR Jie Yang, Pingping Zhang, Yan Liu
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
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
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`	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
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`	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	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
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
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
2007	—	`conf`	Dispensability of Bias for Three-layer Max-min Fuzzy Neural Networks. ICNC (1) Jie Yang, Long Li, Yan Liu
2007	J	`jnl`	Is bias dispensable for fuzzy neural networks? Fuzzy Sets Syst. Jie Yang, Wei Wu
2005	—	`conf`	A New Training Algorithm for a Fuzzy Perceptron and Its Convergence. ISNN (1) Jie Yang, Wei Wu, Zhiqiong Shao
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