PID Controller Based on the Artificial Neural Network. - Jianhua Yang 001; Wei Lu 005; Wenqi Liu (ISNN (2), 2004)

The PID Controller Based on the Artificial Neural Network and the Differential Evolution Algorithm. - Wei Lu 005; Jianhua Yang 001; Xiaodong Liu 001 (J. Comput., 2012)

The linguistic forecasting of time series based on fuzzy cognitive maps. - Wei Lu 005; Jianhua Yang 001; Xiaodong Liu 001 (IFSA/NAFIPS, 2013)

The Linguistic Forecasting of Time Series using Improved Fuzzy Cognitive Map. - Wei Lu 005; Liyong Zhang; Jianhua Yang 001; Xiaodong Liu 001 (Int. J. Comput. Intell. Appl., 2013)

The modeling of time series based on fuzzy information granules. - Wei Lu 005; Witold Pedrycz; Xiaodong Liu 001; Jianhua Yang 001; Peng Li 011 (Expert Syst. Appl., 2014)

Numerical Prediction of Time Series Based on FCMs with Information Granules. - Wei Lu 005; Jianhua Yang 001; Xiaodong Liu 001 (Int. J. Comput. Commun. Control, 2014)

The modeling and prediction of time series based on synergy of high-order fuzzy cognitive map and fuzzy c-means clustering. - Wei Lu 005; Jianhua Yang 001; Xiaodong Liu 001; Witold Pedrycz (Knowl. Based Syst., 2014)

Using interval information granules to improve forecasting in fuzzy time series. - Wei Lu 005; Xueyan Chen; Witold Pedrycz; Xiaodong Liu 001; Jianhua Yang 001 (Int. J. Approx. Reason., 2015)

A Human-Computer Cooperation Fuzzy c-Means Clustering with Interval-Valued Weights. - Wei Lu 005; Liyong Zhang; Xiaodong Liu 001; Jianhua Yang 001; Witold Pedrycz (Int. J. Intell. Syst., 2015)

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 005; Liyong Zhang; Witold Pedrycz; Jianhua Yang 001; Xiaodong Liu 001 (Appl. Soft Comput., 2016)

Interval Granular Fuzzy Models: Concepts and Development. - Dan Shan; Wei Lu 005; Jianhua Yang 001 (IEEE Access, 2019)

Dynamic Background Subtraction Using Histograms Based on Fuzzy C-Means Clustering and Fuzzy Nearness Degree. - Tianming Yu; Jianhua Yang 001; Wei Lu 005 (IEEE Access, 2019)

Combining Background Subtraction and Convolutional Neural Network for Anomaly Detection in Pumping-Unit Surveillance. - Tianming Yu; Jianhua Yang 001; Wei Lu 005 (Algorithms, 2019)

Refinement of Background-Subtraction Methods Based on Convolutional Neural Network Features for Dynamic Background. - Tianming Yu; Jianhua Yang 001; Wei Lu 005 (Algorithms, 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 001; Wei Lu 005 (Int. J. Comput. Intell. Appl., 2019)

The linguistic modeling of interval-valued time series: A perspective of granular computing. - Wei Lu 005; Wei Zhou; Dan Shan; Liyong Zhang; Jianhua Yang 001; Xiaodong Liu 001 (Inf. Sci., 2019)

Fuzzy granular classification based on the principle of justifiable granularity. - Chen Fu; Wei Lu 005; Witold Pedrycz; Jianhua Yang 001 (Knowl. Based Syst., 2019)

Granular Fuzzy Modeling for Multidimensional Numeric Data: A Layered Approach Based on Hyperbox. - Wei Lu 005; Dan Shan; Witold Pedrycz; Liyong Zhang; Jianhua Yang 001; Xiaodong Liu 001 (IEEE Trans. Fuzzy Syst., 2019)

Rule-based granular classification: A hypersphere information granule-based method. - Chen Fu; Wei Lu 005; Witold Pedrycz; Jianhua Yang 001 (Knowl. Based Syst., 2020)

Fast and Effective Learning for Fuzzy Cognitive Maps: A Method Based on Solving Constrained Convex Optimization Problems. - Wei Lu 005; Guoliang Feng; Xiaodong Liu 001; Witold Pedrycz; Liyong Zhang; Jianhua Yang 001 (IEEE Trans. Fuzzy Syst., 2020)

Time Series Modeling with Fuzzy Cognitive Maps based on Partitioning Strategies. - Guoliang Feng; Wei Lu 005; Jianhua Yang 001 (FUZZ-IEEE, 2021)

The Modeling of Time Series Based on Least Square Fuzzy Cognitive Map. - Guoliang Feng; Wei Lu 005; Jianhua Yang 001 (Algorithms, 2021)

Granular Classification for Imbalanced Datasets: A Minkowski Distance-Based Method. - Chen Fu; Jianhua Yang 001 (Algorithms, 2021)

Long-term prediction of time series using fuzzy cognitive maps. - Guoliang Feng; Liyong Zhang; Jianhua Yang 001; Wei Lu 005 (Eng. Appl. Artif. Intell., 2021)

A rule-based granular model development for interval-valued time series. - Jing Guo; Wei Lu 005; Jianhua Yang 001; Xiaodong Liu 001 (Int. J. Approx. Reason., 2021)

The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy. - Guoliang Feng; Wei Lu 005; Witold Pedrycz; Jianhua Yang 001; Xiaodong Liu 001 (IEEE Trans. Cybern., 2021)

Granular Fuzzy Modeling Guided Through the Synergy of Granulating Output Space and Clustering Input Subspaces. - Wei Lu 005; Witold Pedrycz; Jianhua Yang 001; Xiaodong Liu 001 (IEEE Trans. Cybern., 2021)

Granular Description With Multigranularity for Multidimensional Data: A Cone-Shaped Fuzzy Set-Based Method. - Wei Lu 005; Witold Pedrycz; Jianhua Yang 001; Xiaodong Liu 001 (IEEE Trans. Fuzzy Syst., 2021)

CircularE: A Complex Space Circular Correlation Relational Model for Link Prediction in Knowledge Graph Embedding. - Yan Fang; Wei Lu 005; Xiaodong Liu 001; Witold Pedrycz; Qi Lang; Jianhua Yang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Design of Granular Model: A Method Driven by Hyper-Box Iteration Granulation. - Wei Lu 005; Cong Ma; Witold Pedrycz; Jianhua Yang 001 (IEEE Trans. Cybern., 2023)

A rule-based deep fuzzy system with nonlinear fuzzy feature transform for data classification. - Rui Yin 005; Xuejun Pan; Liyong Zhang; Jianhua Yang 001; Wei Lu 005 (Inf. Sci., 2023)

Hierarchical knowledge graph relationship prediction leverage of axiomatic fuzzy set graph structure. - Yan Fang; Qi Lang; Wei Lu 005; Xiaodong Liu 001; Jianhua Yang 001 (Expert Syst. Appl., 2024)

A Hypersphere Information Granule-Based Fuzzy Classifier Embedded With Fuzzy Cognitive Maps for Classification of Imbalanced Data. - Rui Yin 005; Wei Lu 005; Jianhua Yang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Distributed Event-Triggered Algorithm with Network Independent Step-Size for Constraint-Coupled Optimization Problems. - Baitong Chen; Jianhua Yang 001; Wei Lu 005; Witold Pedrycz; Changhai Sun (J. Circuits Syst. Comput., 2024)

A distributed algorithm with network-independent step-size and event-triggered mechanism for economic dispatch problem. - Baitong Chen; Jianhua Yang 001; Wei Lu 005; Witold Pedrycz; Changhai Sun (Int. J. Netw. Manag., 2025)

Knowledge graph completion with low-dimensional gated hierarchical hyperbolic embedding. - Yan Fang; Xiaodong Liu 001; Wei Lu 005; Witold Pedrycz; Qi Lang; Jianhua Yang 001 (Knowl. Based Syst., 2025)