Wei Lu

According to our database, Wei Lu authored at least 54 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

A Linguistically Interpretable Deep Fuzzy Classification System With Feature Transformation and Reconstruction.

Zhen-Sheng Zang, Rui Yin, Wei Lu, Witold Pedrycz, Liyong Zhang

IEEE Trans. Fuzzy Syst., August, 2024

Distributed Event-Triggered Algorithm with Network Independent Step-Size for Constraint-Coupled Optimization Problems.

Baitong Chen, Jianhua Yang, Wei Lu, Witold Pedrycz, Changhai Sun

J. Circuits Syst. Comput., August, 2024

A Hypersphere Information Granule-Based Fuzzy Classifier Embedded With Fuzzy Cognitive Maps for Classification of Imbalanced Data.

Rui Yin, Wei Lu, Jianhua Yang

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Fuzzy neuron modeling of incomplete data for missing value imputation.

Zheng Zhang, Xiaoming Yan, Liyong Zhang, Xiaochen Lai, Wei Lu

Inf. Sci., February, 2024

A stacked architecture-based fuzzy classifier with data position transformation using fuzzy cognitive maps.

Rui Yin, Wei Lu, Jianhua Yang

J. Intell. Fuzzy Syst., January, 2024

Hierarchical knowledge graph relationship prediction leverage of axiomatic fuzzy set graph structure.

Yan Fang, Qi Lang, Wei Lu, Xiaodong Liu, Jianhua Yang

Expert Syst. Appl., 2024

Convex Optimization Based High-Order Fuzzy Cognitive Map Modeling and Its Application in Time Series Predicting.

Dan Shan, Li Wang, Wei Lu, Jun Chen

IEEE Access, 2024

2023

A hybrid-model optimization algorithm based on the Gaussian process and particle swarm optimization for mixed-variable CNN hyperparameter automatic search.

Han Yan, Chongquan Zhong, Yuhu Wu, Liyong Zhang, Wei Lu

Frontiers Inf. Technol. Electron. Eng., November, 2023

Metal fracture recognition: a method for multi-perception region of interest feature fusion.

Han Yan, Chongquan Zhong, Wei Lu, Yuhu Wu

Appl. Intell., October, 2023

A rule-based deep fuzzy system with nonlinear fuzzy feature transform for data classification.

Rui Yin, Xuejun Pan, Liyong Zhang, Jianhua Yang, Wei Lu

Inf. Sci., July, 2023

Design of Granular Model: A Method Driven by Hyper-Box Iteration Granulation.

Wei Lu, Cong Ma, Witold Pedrycz, Jianhua Yang

IEEE Trans. Cybern., May, 2023

CircularE: A Complex Space Circular Correlation Relational Model for Link Prediction in Knowledge Graph Embedding.

Yan Fang, Wei Lu, Xiaodong Liu, Witold Pedrycz, Qi Lang, Jianhua Yang

IEEE ACM Trans. Audio Speech Lang. Process., 2023

2022

The Long-Term Prediction of Time Series: A Granular Computing-Based Design Approach.

Cong Ma, Liyong Zhang, Witold Pedrycz, Wei Lu

IEEE Trans. Syst. Man Cybern. Syst., 2022

Data classification algorithm based on Information Granules included by AFS.

Yanli Wang, Wei Lu, Xiaodong Liu, Xiaoyong Wang

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021

Attribute-Associated Neuron Modeling and Missing Value Imputation for Incomplete Data.

Xiaochen Lai, Jinchong Zhu, Liyong Zhang, Zheng Zhang, Wei Lu

Wirel. Commun. Mob. Comput., 2021

Granular Description With Multigranularity for Multidimensional Data: A Cone-Shaped Fuzzy Set-Based Method.

Wei Lu, Witold Pedrycz, Jianhua Yang, Xiaodong Liu

IEEE Trans. Fuzzy Syst., 2021

Granular Fuzzy Modeling Guided Through the Synergy of Granulating Output Space and Clustering Input Subspaces.

Wei Lu, Witold Pedrycz, Jianhua Yang, Xiaodong Liu

IEEE Trans. Cybern., 2021

The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy.

Guoliang Feng, Wei Lu, Witold Pedrycz, Jianhua Yang, Xiaodong Liu

IEEE Trans. Cybern., 2021

The Modeling of Interval-Valued Time Series Using Possibility Measure-Based Encoding-Decoding Mechanism.

Zefeng Lv, Dan Shan, Xiaopeng Hu, Wei Lu

Int. J. Comput. Commun. Control, 2021

A rule-based granular model development for interval-valued time series.

Jing Guo, Wei Lu, Jianhua Yang, Xiaodong Liu

Int. J. Approx. Reason., 2021

Long-term prediction of time series using fuzzy cognitive maps.

Guoliang Feng, Liyong Zhang, Jianhua Yang, Wei Lu

Eng. Appl. Artif. Intell., 2021

The Modeling of Time Series Based on Least Square Fuzzy Cognitive Map.

Guoliang Feng, Wei Lu, Jianhua Yang

Algorithms, 2021

Time Series Modeling with Fuzzy Cognitive Maps based on Partitioning Strategies.

Guoliang Feng, Wei Lu, Jianhua Yang

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020

Fast and Effective Learning for Fuzzy Cognitive Maps: A Method Based on Solving Constrained Convex Optimization Problems.

Wei Lu, Guoliang Feng, Xiaodong Liu, Witold Pedrycz, Liyong Zhang, Jianhua Yang

IEEE Trans. Fuzzy Syst., 2020

Rule-based granular classification: A hypersphere information granule-based method.

Chen Fu, Wei Lu, Witold Pedrycz, Jianhua Yang

Knowl. Based Syst., 2020

Granular Description of Data: A Comparative Study Regarding to Different Distance Measures.

Fanzhong Meng, Chen Fu, Zhentang Shi, Wei Lu

IEEE Access, 2020

2019

Granular Fuzzy Modeling for Multidimensional Numeric Data: A Layered Approach Based on Hyperbox.

Wei Lu, Dan Shan, Witold Pedrycz, Liyong Zhang, Jianhua Yang, Xiaodong Liu

IEEE Trans. Fuzzy Syst., 2019

Fuzzy granular classification based on the principle of justifiable granularity.

Chen Fu, Wei Lu, Witold Pedrycz, Jianhua Yang

Knowl. Based Syst., 2019

The linguistic modeling of interval-valued time series: A perspective of granular computing.

Wei Lu, Wei Zhou, Dan Shan, Liyong Zhang, Jianhua Yang, Xiaodong Liu

Inf. Sci., 2019

Imputations of missing values using a tracking-removed autoencoder trained with incomplete data.

Xiaochen Lai, Xia Wu, Liyong Zhang, Wei Lu, Chongquan Zhong

Neurocomputing, 2019

The Modeling of Interval-Valued Time Series: A Method Based on Fuzzy Set Theory and Artificial Neural Networks.

Wei Zhou, Dan Shan, Jianhua Yang, Wei Lu

Int. J. Comput. Intell. Appl., 2019

Refinement of Background-Subtraction Methods Based on Convolutional Neural Network Features for Dynamic Background.

Tianming Yu, Jianhua Yang, Wei Lu

Algorithms, 2019

Combining Background Subtraction and Convolutional Neural Network for Anomaly Detection in Pumping-Unit Surveillance.

Tianming Yu, Jianhua Yang, Wei Lu

Algorithms, 2019

Dynamic Background Subtraction Using Histograms Based on Fuzzy C-Means Clustering and Fuzzy Nearness Degree.

Tianming Yu, Jianhua Yang, Wei Lu

IEEE Access, 2019

Interval Granular Fuzzy Models: Concepts and Development.

Dan Shan, Wei Lu, Jianhua Yang

IEEE Access, 2019

Fuzzy Classifier with Convolution for Classification of Handwritten Digits.

Rui Yin, Wei Lu

Proceedings of the Fuzzy Techniques: Theory and Applications, 2019

Fuzzy Rule-Based Classification with Hypersphere Information Granules.

Chen Fu, Wei Lu

Proceedings of the Fuzzy Techniques: Theory and Applications, 2019

2017

Interval kernel Fuzzy C-Means clustering of incomplete data.

Tianhao Li, Liyong Zhang, Wei Lu, Hui Hou, Xiaodong Liu, Witold Pedrycz, Chongquan Zhong

Neurocomputing, 2017

Fuzzy C-Means clustering based on dual expression between cluster prototypes and reconstructed data.

Liyong Zhang, Wanxie Zhong, Chongquan Zhong, Wei Lu, Xiaodong Liu, Witold Pedrycz

Int. J. Approx. Reason., 2017

2016

Fuzzy C-Means clustering of incomplete data based on probabilistic information granules of missing values.

Liyong Zhang, Wei Lu, Xiaodong Liu, Witold Pedrycz, Chongquan Zhong

Knowl. Based Syst., 2016

A Global Clustering Approach Using Hybrid Optimization for Incomplete Data Based on Interval Reconstruction of Missing Value.

Liyong Zhang, Wei Lu, Xiaodong Liu, Witold Pedrycz, Chongquan Zhong, Lu Wang

Int. J. Intell. Syst., 2016

The granular extension of Sugeno-type fuzzy models based on optimal allocation of information granularity and its application to forecasting of time series.

Wei Lu, Liyong Zhang, Witold Pedrycz, Jianhua Yang, Xiaodong Liu

Appl. Soft Comput., 2016

2015

A Human-Computer Cooperation Fuzzy c-Means Clustering with Interval-Valued Weights.

Wei Lu, Liyong Zhang, Xiaodong Liu, Jianhua Yang, Witold Pedrycz

Int. J. Intell. Syst., 2015

Using interval information granules to improve forecasting in fuzzy time series.

Wei Lu, Xueyan Chen, Witold Pedrycz, Xiaodong Liu, Jianhua Yang

Int. J. Approx. Reason., 2015

2014

Human-centric analysis and interpretation of time series: a perspective of granular computing.

Witold Pedrycz, Wei Lu, Xiaodong Liu, Wei Wang, Lizhong Wang

Soft Comput., 2014

The modeling and prediction of time series based on synergy of high-order fuzzy cognitive map and fuzzy c-means clustering.

Wei Lu, Jianhua Yang, Xiaodong Liu, Witold Pedrycz

Knowl. Based Syst., 2014

Numerical Prediction of Time Series Based on FCMs with Information Granules.

Wei Lu, Jianhua Yang, Xiaodong Liu

Int. J. Comput. Commun. Control, 2014

An interval weighed fuzzy c-means clustering by genetically guided alternating optimization.

Liyong Zhang, Witold Pedrycz, Wei Lu, Xiaodong Liu, Li Zhang

Expert Syst. Appl., 2014

The modeling of time series based on fuzzy information granules.

Wei Lu, Witold Pedrycz, Xiaodong Liu, Jianhua Yang, Peng Li

Expert Syst. Appl., 2014

Data-based fuzzy rules extraction method for classification.

Xinyu Qiao, Zhenying Li, Wei Lu, Xiaodong Liu

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013

The Linguistic Forecasting of Time Series using Improved Fuzzy Cognitive Map.

Wei Lu, Liyong Zhang, Jianhua Yang, Xiaodong Liu

Int. J. Comput. Intell. Appl., 2013

The linguistic forecasting of time series based on fuzzy cognitive maps.

Wei Lu, Jianhua Yang, Xiaodong Liu

Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

2012

The PID Controller Based on the Artificial Neural Network and the Differential Evolution Algorithm.

Wei Lu, Jianhua Yang, Xiaodong Liu

J. Comput., 2012

2004

PID Controller Based on the Artificial Neural Network.

Jianhua Yang, Wei Lu, Wenqi Liu

Proceedings of the Advances in Neural Networks, 2004