Wei Lu 0005 - researchr alias

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2026

Data stream clustering via fuzzy similarity and diffusion-enhanced contextual affinityYao Li 0028, Ming Chi, Wei Lu 0005, Xiaodong Liu 0001, Witold Pedrycz. isci, 723:122690, 2026. [doi]

Imputation for incomplete data based on granulated single output neural network groupMeitong Chen, Liyong Zhang, Wei Lu 0005, Xiaodong Liu 0001, Witold Pedrycz. eswa, 297:129321, 2026. [doi]

A Linguistically Interpretable Fuzzy Fault Diagnosis Model: Knowledge Distillation PerspectiveMeng-Wei Li, Zhen-Sheng Zang, Wei Lu 0005, Witold Pedrycz. tfs, 34(1):189-203, January 2026. [doi]

Granular computing-based fuzzy deep neural network for long-tailed fault diagnosis: Design and analysisMeng-Wei Li, Zhen-Sheng Zang, Wei Lu 0005, Witold Pedrycz. eswa, 295:128806, 2026. [doi]

Physics-Guided Spectral Neural Networks With Self-Discovered Partial Differential Equations for Sparse Field ReconstructionGuolin Xiao, Qi Lang, Wei Lu 0005, Xiaodong Liu 0001. tii, 22(3):1771-1781, March 2026. [doi]

2025

Temporal decomposition and attribute correlation differentiation at multiple scales: A graph imputation network for incomplete multivariate time seriesDitong Chen, Liyong Zhang, Xiaochen Lai, Wei Lu 0005, Zhuohan Li. kbs, 319:113636, 2025. [doi]

A distributed algorithm with network-independent step-size and event-triggered mechanism for economic dispatch problemBaitong Chen, Jianhua Yang 0001, Wei Lu 0005, Witold Pedrycz, Changhai Sun. ijnm, 35(1), January/February 2025. [doi]

A distributed algorithm with dynamic event-triggered mechanism for resource allocation problemsBaitong Chen, Jianhua Yang 0001, Wei Lu 0005, Witold Pedrycz, Changhai Sun. cluster, 28(16), December 2025. [doi]

Knowledge graph completion with low-dimensional gated hierarchical hyperbolic embeddingYan Fang, Xiaodong Liu 0001, Wei Lu 0005, Witold Pedrycz, Qi Lang, Jianhua Yang 0001. kbs, 309:112804, 2025. [doi]

Ratai: recurrent autoencoder with imputation units and temporal attention for multivariate time series imputationXiaochen Lai, Yachen Yao, Jichong Mu, Wei Lu 0005, Liyong Zhang. air, 58(2):37, February 2025. [doi]

Tracking-removed neural network with graph information for classification of incomplete dataXiaochen Lai, Zheng Zhang, Hui Chen, Liyong Zhang, Zhuohan Li, Wei Lu 0005. apin, 55(3):256, February 2025. [doi]

Dynamic graph-based bilateral recurrent imputation network for multivariate time seriesXiaochen Lai, Zheng Zhang, Liyong Zhang, Wei Lu 0005, Zhuohan Li. NN, 186:107298, 2025. [doi]

Incomplete data modeling based on alternate update of clustering and autoencoder for missing value imputationXiaochen Lai, Zheng Zhang, Liyong Zhang, Wei Lu 0005, Zhuohan Li. nca, 37(3):1523-1540, January 2025. [doi]

wFedUFCM: A Federated Approach to Weighted Unconstrained Fuzzy C-Means ClusteringLongmei Li, Wei Lu 0005. fuzzIEEE 2025: 1-4 [doi]

Integrated Deep Neural Network and Hypersphere Information Granule for Imbalance Fault DiagnosisMeng-Wei Li, Wei Lu 0005. fuzzIEEE 2025: 1-6 [doi]

An Adaptive Federated Fuzzy C-Means Clustering With Nonindependently and Identically Distributed DataLongmei Li, Wei Lu 0005, Witold Pedrycz. tsmc, 55(6):4015-4028, June 2025. [doi]

A Lightweight Microscopic Metal Fracture Classification Method With Structure Pruning and Knowledge Distillation for Embedded DevicesHan Yan, Wei Lu 0005, Yuhu Wu. tim, 74:1-14, 2025. [doi]

Improvement of Scheduling Optimization of Cyber-Physical Systems Based on Petri Net and Intelligent AlgorithmYuHai Yang, Xiaodong Liu, Wei Lu 0005. symmetry, 17(4):487, 2025. [doi]

2024

A stacked architecture-based fuzzy classifier with data position transformation using fuzzy cognitive mapsRui Yin 0005, Wei Lu 0005, Jianhua Yang 0001. jifs, 46(1):2037-2052, January 2024. [doi]

Distributed Event-Triggered Algorithm with Network Independent Step-Size for Constraint-Coupled Optimization ProblemsBaitong Chen, Jianhua Yang 0001, Wei Lu 0005, Witold Pedrycz, Changhai Sun. jcsc, 33(12), August 2024. [doi]

Hierarchical knowledge graph relationship prediction leverage of axiomatic fuzzy set graph structureYan Fang, Qi Lang, Wei Lu 0005, Xiaodong Liu 0001, Jianhua Yang 0001. eswa, 251:124090, 2024. [doi]

Convex Optimization Based High-Order Fuzzy Cognitive Map Modeling and Its Application in Time Series PredictingDan Shan, Li Wang, Wei Lu 0005, Jun Chen. access, 12:12683-12698, 2024. [doi]

A Hypersphere Information Granule-Based Fuzzy Classifier Embedded With Fuzzy Cognitive Maps for Classification of Imbalanced DataRui Yin, Wei Lu 0005, Jianhua Yang 0001. tetci, 8(1):175-190, February 2024. [doi]

A Linguistically Interpretable Deep Fuzzy Classification System With Feature Transformation and ReconstructionZhen-Sheng Zang, Rui Yin 0005, Wei Lu 0005, Witold Pedrycz, Liyong Zhang. tfs, 32(8):4297-4311, August 2024. [doi]

Fuzzy neuron modeling of incomplete data for missing value imputationZheng Zhang, Xiaoming Yan, Liyong Zhang, Xiaochen Lai, Wei Lu 0005. isci, 659:120065, February 2024. [doi]

2023

Design of Granular Model: A Method Driven by Hyper-Box Iteration GranulationWei Lu 0005, Cong Ma, Witold Pedrycz, Jianhua Yang 0001. tcyb, 53(5):2899-2913, May 2023. [doi]

CircularE: A Complex Space Circular Correlation Relational Model for Link Prediction in Knowledge Graph EmbeddingYan Fang, Wei Lu 0005, Xiaodong Liu 0001, Witold Pedrycz, Qi Lang, Jianhua Yang 0001. taslp, 31:3162-3175, 2023. [doi]

A hybrid-model optimization algorithm based on the Gaussian process and particle swarm optimization for mixed-variable CNN hyperparameter automatic searchHan Yan, Chongquan Zhong, Yuhu Wu, Liyong Zhang, Wei Lu 0005. jzusc, 24(11):1557-1573, November 2023. [doi]

Metal fracture recognition: a method for multi-perception region of interest feature fusionHan Yan, Chongquan Zhong, Wei Lu 0005, Yuhu Wu. apin, 53(20):23983-24007, October 2023. [doi]

A rule-based deep fuzzy system with nonlinear fuzzy feature transform for data classificationRui Yin, Xuejun Pan, Liyong Zhang, Jianhua Yang 0001, Wei Lu 0005. isci, 633:431-452, July 2023. [doi]

2022

The Long-Term Prediction of Time Series: A Granular Computing-Based Design ApproachCong Ma, Liyong Zhang, Witold Pedrycz, Wei Lu 0005. tsmc, 52(10):6326-6338, 2022. [doi]

2021

Granular Fuzzy Modeling Guided Through the Synergy of Granulating Output Space and Clustering Input SubspacesWei Lu 0005, Witold Pedrycz, Jianhua Yang 0001, Xiaodong Liu 0001. tcyb, 51(5):2625-2638, 2021. [doi]

Granular Description With Multigranularity for Multidimensional Data: A Cone-Shaped Fuzzy Set-Based MethodWei Lu 0005, Witold Pedrycz, Jianhua Yang 0001, Xiaodong Liu 0001. tfs, 29(7):1786-1801, 2021. [doi]

Long-term prediction of time series using fuzzy cognitive mapsGuoliang Feng, Liyong Zhang, Jianhua Yang 0001, Wei Lu 0005. eaai, 102:104274, 2021. [doi]

The Modeling of Time Series Based on Least Square Fuzzy Cognitive MapGuoliang Feng, Wei Lu 0005, Jianhua Yang 0001. algorithms, 14(3):69, 2021. [doi]

Time Series Modeling with Fuzzy Cognitive Maps based on Partitioning StrategiesGuoliang Feng, Wei Lu 0005, Jianhua Yang 0001. fuzzIEEE 2021: 1-6 [doi]

The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum EntropyGuoliang Feng, Wei Lu 0005, Witold Pedrycz, Jianhua Yang 0001, Xiaodong Liu 0001. tcyb, 51(4):2080-2092, 2021. [doi]

A rule-based granular model development for interval-valued time seriesJing Guo, Wei Lu 0005, Jianhua Yang 0001, Xiaodong Liu 0001. ijar, 136:201-222, 2021. [doi]

Attribute-Associated Neuron Modeling and Missing Value Imputation for Incomplete DataXiaochen Lai, Jinchong Zhu, Liyong Zhang, Zheng Zhang, Wei Lu 0005. wicomm, 2021, 2021. [doi]

The Modeling of Interval-Valued Time Series Using Possibility Measure-Based Encoding-Decoding MechanismZefeng Lv, Dan Shan, Xiaopeng Hu 0001, Wei Lu 0005. ijccc, 16(4), 2021. [doi]

2020

2019

Granular Fuzzy Modeling for Multidimensional Numeric Data: A Layered Approach Based on HyperboxWei Lu 0005, Dan Shan, Witold Pedrycz, Liyong Zhang, Jianhua Yang, Xiaodong Liu. tfs, 27(4):775-789, 2019. [doi]

The linguistic modeling of interval-valued time series: A perspective of granular computingWei Lu 0005, Wei Zhou, Dan Shan, Liyong Zhang, Jianhua Yang, Xiaodong Liu. isci, 478:476-498, 2019. [doi]

Fuzzy Rule-Based Classification with Hypersphere Information GranulesChen Fu, Wei Lu 0005. ifsa 2019: 258-269 [doi]

Fuzzy granular classification based on the principle of justifiable granularityChen Fu, Wei Lu 0005, Witold Pedrycz, Jianhua Yang 0001. kbs, 170:89-101, 2019. [doi]

Imputations of missing values using a tracking-removed autoencoder trained with incomplete dataXiaochen Lai, Xia Wu, Liyong Zhang, Wei Lu 0005, Chongquan Zhong. ijon, 366:54-65, 2019. [doi]

Interval Granular Fuzzy Models: Concepts and DevelopmentDan Shan, Wei Lu 0005, Jianhua Yang. access, 7:24140-24153, 2019. [doi]

Refinement of Background-Subtraction Methods Based on Convolutional Neural Network Features for Dynamic BackgroundTianming Yu, Jianhua Yang, Wei Lu 0005. algorithms, 12(7):128, 2019. [doi]

Combining Background Subtraction and Convolutional Neural Network for Anomaly Detection in Pumping-Unit SurveillanceTianming Yu, Jianhua Yang, Wei Lu 0005. algorithms, 12(6):115, 2019. [doi]

The Modeling of Interval-Valued Time Series: A Method Based on Fuzzy Set Theory and Artificial Neural NetworksWei Zhou, Dan Shan, Jianhua Yang 0001, Wei Lu 0005. ijcia, 18(1):1950002, 2019. [doi]

2014

Numerical Prediction of Time Series Based on FCMs with Information GranulesWei Lu 0005, Jianhua Yang 0001, Xiaodong Liu. ijccc, 9(3):313-324, 2014. [doi]

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