Wei Lu

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 40

Top Topics

Incomplete Data

Dynamic Background

Top Venues

Knowl. Based Syst.

IEEE Trans. Fuzzy Syst.

IEEE Trans. Cybern.

Publications

Zhen-Sheng Zang, Rui Yin, Wei Lu, Witold Pedrycz, Liyong Zhang
A Linguistically Interpretable Deep Fuzzy Classification System With Feature Transformation and Reconstruction. IEEE Trans. Fuzzy Syst. 32 (8) (2024)
Zheng Zhang, Xiaoming Yan, Liyong Zhang, Xiaochen Lai, Wei Lu
Fuzzy neuron modeling of incomplete data for missing value imputation. Inf. Sci. 659 (2024)
Rui Yin, Wei Lu, Jianhua Yang
A stacked architecture-based fuzzy classifier with data position transformation using fuzzy cognitive maps. J. Intell. Fuzzy Syst. 46 (1) (2024)
Rui Yin, Wei Lu, Jianhua Yang
A Hypersphere Information Granule-Based Fuzzy Classifier Embedded With Fuzzy Cognitive Maps for Classification of Imbalanced Data. IEEE Trans. Emerg. Top. Comput. Intell. 8 (1) (2024)
Yan Fang, Qi Lang, Wei Lu, Xiaodong Liu, Jianhua Yang
Hierarchical knowledge graph relationship prediction leverage of axiomatic fuzzy set graph structure. Expert Syst. Appl. 251 (2024)
Dan Shan, Li Wang, Wei Lu, Jun Chen
Convex Optimization Based High-Order Fuzzy Cognitive Map Modeling and Its Application in Time Series Predicting. IEEE Access 12 (2024)
Han Yan, Chongquan Zhong, Yuhu Wu, Liyong Zhang, Wei Lu
A hybrid-model optimization algorithm based on the Gaussian process and particle swarm optimization for mixed-variable CNN hyperparameter automatic search. Frontiers Inf. Technol. Electron. Eng. 24 (11) (2023)
Yan Fang, Wei Lu, Xiaodong Liu, Witold Pedrycz, Qi Lang, Jianhua Yang
CircularE: A Complex Space Circular Correlation Relational Model for Link Prediction in Knowledge Graph Embedding. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Rui Yin, Xuejun Pan, Liyong Zhang, Jianhua Yang, Wei Lu
A rule-based deep fuzzy system with nonlinear fuzzy feature transform for data classification. Inf. Sci. 633 (2023)
Wei Lu, Cong Ma, Witold Pedrycz, Jianhua Yang
Design of Granular Model: A Method Driven by Hyper-Box Iteration Granulation. IEEE Trans. Cybern. 53 (5) (2023)
Han Yan, Chongquan Zhong, Wei Lu, Yuhu Wu
Metal fracture recognition: a method for multi-perception region of interest feature fusion. Appl. Intell. 53 (20) (2023)
Cong Ma, Liyong Zhang, Witold Pedrycz, Wei Lu
The Long-Term Prediction of Time Series: A Granular Computing-Based Design Approach. IEEE Trans. Syst. Man Cybern. Syst. 52 (10) (2022)
Guoliang Feng, Liyong Zhang, Jianhua Yang, Wei Lu
Long-term prediction of time series using fuzzy cognitive maps. Eng. Appl. Artif. Intell. 102 (2021)
Jing Guo, Wei Lu, Jianhua Yang, Xiaodong Liu
A rule-based granular model development for interval-valued time series. Int. J. Approx. Reason. 136 (2021)
Wei Lu, Witold Pedrycz, Jianhua Yang, Xiaodong Liu
Granular Description With Multigranularity for Multidimensional Data: A Cone-Shaped Fuzzy Set-Based Method. IEEE Trans. Fuzzy Syst. 29 (7) (2021)
Guoliang Feng, Wei Lu, Jianhua Yang
The Modeling of Time Series Based on Least Square Fuzzy Cognitive Map. Algorithms 14 (3) (2021)
Guoliang Feng, Wei Lu, Jianhua Yang
Time Series Modeling with Fuzzy Cognitive Maps based on Partitioning Strategies. FUZZ-IEEE (2021)
Wei Lu, Witold Pedrycz, Jianhua Yang, Xiaodong Liu
Granular Fuzzy Modeling Guided Through the Synergy of Granulating Output Space and Clustering Input Subspaces. IEEE Trans. Cybern. 51 (5) (2021)
Zefeng Lv, Dan Shan, Xiaopeng Hu, Wei Lu
The Modeling of Interval-Valued Time Series Using Possibility Measure-Based Encoding-Decoding Mechanism. Int. J. Comput. Commun. Control 16 (4) (2021)
Xiaochen Lai, Jinchong Zhu, Liyong Zhang, Zheng Zhang, Wei Lu
Attribute-Associated Neuron Modeling and Missing Value Imputation for Incomplete Data. Wirel. Commun. Mob. Comput. 2021 (2021)
Guoliang Feng, Wei Lu, Witold Pedrycz, Jianhua Yang, Xiaodong Liu
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy. IEEE Trans. Cybern. 51 (4) (2021)
Fanzhong Meng, Chen Fu, Zhentang Shi, Wei Lu
Granular Description of Data: A Comparative Study Regarding to Different Distance Measures. IEEE Access 8 (2020)
Chen Fu, Wei Lu, Witold Pedrycz, Jianhua Yang
Rule-based granular classification: A hypersphere information granule-based method. Knowl. Based Syst. 194 (2020)
Wei Lu, Guoliang Feng, Xiaodong Liu, Witold Pedrycz, Liyong Zhang, Jianhua Yang
Fast and Effective Learning for Fuzzy Cognitive Maps: A Method Based on Solving Constrained Convex Optimization Problems. IEEE Trans. Fuzzy Syst. 28 (11) (2020)
Chen Fu, Wei Lu, Witold Pedrycz, Jianhua Yang
Fuzzy granular classification based on the principle of justifiable granularity. Knowl. Based Syst. 170 (2019)
Wei Lu, Dan Shan, Witold Pedrycz, Liyong Zhang, Jianhua Yang, Xiaodong Liu
Granular Fuzzy Modeling for Multidimensional Numeric Data: A Layered Approach Based on Hyperbox. IEEE Trans. Fuzzy Syst. 27 (4) (2019)
Dan Shan, Wei Lu, Jianhua Yang
Interval Granular Fuzzy Models: Concepts and Development. IEEE Access 7 (2019)
Wei Zhou, Dan Shan, Jianhua Yang, Wei Lu
The Modeling of Interval-Valued Time Series: A Method Based on Fuzzy Set Theory and Artificial Neural Networks. Int. J. Comput. Intell. Appl. 18 (1) (2019)
Xiaochen Lai, Xia Wu, Liyong Zhang, Wei Lu, Chongquan Zhong
Imputations of missing values using a tracking-removed autoencoder trained with incomplete data. Neurocomputing 366 (2019)
Chen Fu, Wei Lu
Fuzzy Rule-Based Classification with Hypersphere Information Granules. IFSA/NAFIPS (2019)
Tianming Yu, Jianhua Yang, Wei Lu
Dynamic Background Subtraction Using Histograms Based on Fuzzy C-Means Clustering and Fuzzy Nearness Degree. IEEE Access 7 (2019)
Guoliang Feng, Wei Lu, Witold Pedrycz, Jianhua Yang, Xiaodong Liu
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy. CoRR (2019)
Tianming Yu, Jianhua Yang, Wei Lu
Combining Background Subtraction and Convolutional Neural Network for Anomaly Detection in Pumping-Unit Surveillance. Algorithms 12 (6) (2019)
Wei Lu, Wei Zhou, Dan Shan, Liyong Zhang, Jianhua Yang, Xiaodong Liu
The linguistic modeling of interval-valued time series: A perspective of granular computing. Inf. Sci. 478 (2019)
Tianming Yu, Jianhua Yang, Wei Lu
Refinement of Background-Subtraction Methods Based on Convolutional Neural Network Features for Dynamic Background. Algorithms 12 (7) (2019)
Liyong Zhang, Wanxie Zhong, Chongquan Zhong, Wei Lu, Xiaodong Liu, Witold Pedrycz
Fuzzy C-Means clustering based on dual expression between cluster prototypes and reconstructed data. Int. J. Approx. Reason. 90 (2017)
Tianhao Li, Liyong Zhang, Wei Lu, Hui Hou, Xiaodong Liu, Witold Pedrycz, Chongquan Zhong
Interval kernel Fuzzy C-Means clustering of incomplete data. Neurocomputing 237 (2017)
Liyong Zhang, Wei Lu, Xiaodong Liu, Witold Pedrycz, Chongquan Zhong, Lu Wang
A Global Clustering Approach Using Hybrid Optimization for Incomplete Data Based on Interval Reconstruction of Missing Value. Int. J. Intell. Syst. 31 (4) (2016)
Wei Lu, Liyong Zhang, Witold Pedrycz, Jianhua Yang, Xiaodong Liu
The granular extension of Sugeno-type fuzzy models based on optimal allocation of information granularity and its application to forecasting of time series. Appl. Soft Comput. 42 (2016)
Liyong Zhang, Wei Lu, Xiaodong Liu, Witold Pedrycz, Chongquan Zhong
Fuzzy C-Means clustering of incomplete data based on probabilistic information granules of missing values. Knowl. Based Syst. 99 (2016)
Wei Lu, Xueyan Chen, Witold Pedrycz, Xiaodong Liu, Jianhua Yang
Using interval information granules to improve forecasting in fuzzy time series. Int. J. Approx. Reason. 57 (2015)
Wei Lu, Liyong Zhang, Xiaodong Liu, Jianhua Yang, Witold Pedrycz
A Human-Computer Cooperation Fuzzy c-Means Clustering with Interval-Valued Weights. Int. J. Intell. Syst. 30 (2) (2015)
Wei Lu, Witold Pedrycz, Xiaodong Liu, Jianhua Yang, Peng Li
The modeling of time series based on fuzzy information granules. Expert Syst. Appl. 41 (8) (2014)
Xinyu Qiao, Zhenying Li, Wei Lu, Xiaodong Liu
Data-based fuzzy rules extraction method for classification. FUZZ-IEEE (2014)
Liyong Zhang, Witold Pedrycz, Wei Lu, Xiaodong Liu, Li Zhang
An interval weighed fuzzy c-means clustering by genetically guided alternating optimization. Expert Syst. Appl. 41 (13) (2014)
Witold Pedrycz, Wei Lu, Xiaodong Liu, Wei Wang, Lizhong Wang
Human-centric analysis and interpretation of time series: a perspective of granular computing. Soft Comput. 18 (12) (2014)
Wei Lu, Jianhua Yang, Xiaodong Liu, Witold Pedrycz
The modeling and prediction of time series based on synergy of high-order fuzzy cognitive map and fuzzy c-means clustering. Knowl. Based Syst. 70 (2014)
Wei Lu, Jianhua Yang, Xiaodong Liu
Numerical Prediction of Time Series Based on FCMs with Information Granules. Int. J. Comput. Commun. Control 9 (3) (2014)
Wei Lu, Liyong Zhang, Jianhua Yang, Xiaodong Liu
The Linguistic Forecasting of Time Series using Improved Fuzzy Cognitive Map. Int. J. Comput. Intell. Appl. 12 (3) (2013)
Wei Lu, Jianhua Yang, Xiaodong Liu
The linguistic forecasting of time series based on fuzzy cognitive maps. IFSA/NAFIPS (2013)
Wei Lu, Jianhua Yang, Xiaodong Liu
The PID Controller Based on the Artificial Neural Network and the Differential Evolution Algorithm. J. Comput. 7 (10) (2012)
Jianhua Yang, Wei Lu, Wenqi Liu
PID Controller Based on the Artificial Neural Network. ISNN (2) (2004)