Boundedness and convergence of MPN for cyclic and almost cyclic learning with penalty. - Jian Wang 010; Wei Wu 010; Jacek M. Zurada (IJCNN, 2011)

Deterministic convergence of conjugate gradient method for feedforward neural networks. - Jian Wang 010; Wei Wu 010; Jacek M. Zurada (Neurocomputing, 2011)

Convergence analysis of online gradient method for BP neural networks. - Wei Wu 010; Jian Wang 010; Mingsong Cheng; Zhengxue Li (Neural Networks, 2011)

Convergence of Cyclic and Almost-Cyclic Learning With Momentum for Feedforward Neural Networks. - Jian Wang 010; Jie Yang 007; Wei Wu 010 (IEEE Trans. Neural Networks, 2011)

Computational Properties of Cyclic and Almost-Cyclic Learning with Momentum for Feedforward Neural Networks. - Jian Wang 010; Wei Wu 010; Jacek M. Zurada (ISNN (1), 2012)

Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning with penalty. - Jian Wang 010; Wei Wu 010; Jacek M. Zurada (Neural Networks, 2012)

Boundedness of Weight Elimination for BP Neural Networks. - Jian Wang 010; Jacek M. Zurada; Yanjiang Wang 001; Jing Wang; Guofang Xie (ICAISC (1), 2014)

Practical and fast quantum random number generation based on photon arrival time relative to external reference. - You-Qi Nie; Hong-Fei Zhang; Zhen Zhang 002; Jian Wang 010; Xiongfeng Ma; Jun Zhang; Jian-Wei Pan (CoRR, 2014)

Review and performance comparison of SVM- and ELM-based classifiers. - Jan Chorowski; Jian Wang 010; Jacek M. Zurada (Neurocomputing, 2014)

A modified gradient learning algorithm with smoothing L1/2 regularization for Takagi-Sugeno fuzzy models. - Yan Liu 015; Wei Wu 010; Qin-wei Fan; Dakun Yang; Jian Wang 010 (Neurocomputing, 2014)

A pruning algorithm with L 1/2 regularizer for extreme learning machine. - Ye-tian Fan; Wei Wu 010; Wenyu Yang; Qin-wei Fan; Jian Wang 010 (J. Zhejiang Univ. Sci. C, 2014)

Batch gradient method with smoothing L1/2 regularization for training of feedforward neural networks. - Wei Wu 010; Qin-wei Fan; Jacek M. Zurada; Jian Wang 010; Dakun Yang; Yan Liu 015 (Neural Networks, 2014)

Relaxed conditions for convergence of batch BPAP for feedforward neural networks. - Hongmei Shao; Jian Wang 010; Lijun Liu; Dongpo Xu; Wendi Bao (Neurocomputing, 2015)

A Conjugate Gradient-Based Efficient Algorithm for Training Single-Hidden-Layer Neural Networks. - Xiaoling Gong; Jian Wang 010; Yanjiang Wang 001; Jacek M. Zurada (ICONIP (4), 2016)

Boundedness and convergence analysis of weight elimination for cyclic training of neural networks. - Jian Wang 010; Zhenyun Ye; Weifeng Gao; Jacek M. Zurada (Neural Networks, 2016)

An Efficient Algorithm for Complex-Valued Neural Networks Through Training Input Weights. - Qin Liu; Zhaoyang Sang; Hua Chen; Jian Wang 010; Huaqing Zhang 002 (ICONIP (4), 2017)

An Improved Conjugate Gradient Neural Networks Based on a Generalized Armijo Search Method. - Bingjie Zhang 001; Tao Gao 003; Long Li; Zhanquan Sun; Jian Wang 010 (ICONIP (4), 2017)

A Caputo-Type Fractional-Order Gradient Descent Learning of BP Neural Networks. - Guoling Yang; Bingjie Zhang 001; Zhaoyang Sang; Jian Wang 010; Hua Chen (ISNN (1), 2017)

Convergence Analysis of Caputo-Type Fractional Order Complex-Valued Neural Networks. - Jian Wang 010; Guoling Yang; Bingjie Zhang 001; Zhanquan Sun; Yusong Liu; Jichao Wang (IEEE Access, 2017)

Convergence analysis of BP neural networks via sparse response regularization. - Jian Wang 010; Yanqing Wen; Zhenyun Ye; Ling Jian; Hua Chen (Appl. Soft Comput., 2017)

Convergence analyses on sparse feedforward neural networks via group lasso regularization. - Jian Wang 010; Qingling Cai; Qingquan Chang; Jacek M. Zurada (Inf. Sci., 2017)

Fractional-order gradient descent learning of BP neural networks with Caputo derivative. - Jian Wang 010; Yanqing Wen; Yida Gou; Zhenyun Ye; Hua Chen (Neural Networks, 2017)

Fully Complex-Valued Wirtinger Conjugate Neural Networks with Generalized Armijo Search. - Bingjie Zhang 001; Junze Wang; Shujun Wu; Jian Wang 010; Huaqing Zhang 002 (ICIC (3), 2018)

An Efficient Elman Neural Networks Based on Improved Conjugate Gradient Method with Generalized Armijo Search. - Mingyue Zhu; Tao Gao 003; Bingjie Zhang 001; Qingying Sun; Jian Wang 010 (ICIC (1), 2018)

A New Parameter Identification Method for Type-1 TS Fuzzy Neural Network. - Tao Gao 003; Long Li; Zhen Zhang 002; Zhanquan Sun; Jian Wang 010 (ISNN, 2018)

Structure Optimization of Neural Networks with L1 Regularization on Gates. - Qin Chang; Junze Wang; Huaqing Zhang 002; Lina Shi; Jian Wang 010; Nikhil R. Pal (SSCI, 2018)

A Polak-Ribière-Polyak Conjugate Gradient-Based Neuro-Fuzzy Network and its Convergence. - Tao Gao 003; Jian Wang 010; Bingjie Zhang 001; Huaqing Zhang 002; Peng Ren 001; Nikhil R. Pal (IEEE Access, 2018)

A novel conjugate gradient method with generalized Armijo search for efficient training of feedforward neural networks. - Jian Wang 010; Bingjie Zhang 001; Zhanquan Sun; Wenxue Hao; Qingying Sun (Neurocomputing, 2018)

A Novel Pruning Algorithm for Smoothing Feedforward Neural Networks Based on Group Lasso Method. - Jian Wang 010; Chen Xu 007; Xifeng Yang; Jacek M. Zurada (IEEE Trans. Neural Networks Learn. Syst., 2018)

Unsupervised Feature Selection Using RBF Autoencoder. - Ling Yu; Zhen Zhang 002; Xuetao Xie; Hua Chen; Jian Wang 010 (ISNN (1), 2019)

An Improved Ant Colony Optimization Algorithm Based on Fractional Order Memory for Traveling Salesman Problems. - Xiaoling Gong; Ziheng Rong; Tao Gao 003; Yifei Pu; Jian Wang 010 (SSCI, 2019)

Fractional-order Backpropagation Neural Networks: Modified Fractional-order Steepest Descent Method for Family of Backpropagation Neural Networks. - Yi-Fei Pu; Jian Wang 010 (CoRR, 2019)

Conjugate gradient-based Takagi-Sugeno fuzzy neural network parameter identification and its convergence analysis. - Tao Gao 003; Zhen Zhang 002; Qin Chang; Xuetao Xie; Peng Ren 001; Jian Wang 010 (Neurocomputing, 2019)

Fully complex conjugate gradient-based neural networks using Wirtinger calculus framework: Deterministic convergence and its application. - Bingjie Zhang 001; Yusong Liu; Jinde Cao; Shujun Wu; Jian Wang 010 (Neural Networks, 2019)

Weight Noise Injection-Based MLPs With Group Lasso Penalty: Asymptotic Convergence and Application to Node Pruning. - Jian Wang 010; Qingquan Chang; Qin Chang; Yusong Liu; Nikhil R. Pal (IEEE Trans. Cybern., 2019)

A topology-based single-pool decomposition framework for large-scale global optimization. - Xiaoming Xue; Kai Zhang 029; Rupeng Li; Liming Zhang; Chuanjin Yao; Jian Wang 010; Jun Yao (Appl. Soft Comput., 2020)

Image steganalysis based on convolutional neural network and feature selection. - Zhanquan Sun; Feng Li; Huifen Huang; Jian Wang 010 (Concurr. Comput. Pract. Exp., 2020)

A recalling-enhanced recurrent neural network: Conjugate gradient learning algorithm and its convergence analysis. - Tao Gao 003; Xiaoling Gong; Kai Zhang 029; Feng Lin; Jian Wang 010; Tingwen Huang; Jacek M. Zurada (Inf. Sci., 2020)

Fractional-order global optimal backpropagation machine trained by an improved fractional-order steepest descent method. - Yi-Fei Pu; Jian Wang 010 (Frontiers Inf. Technol. Electron. Eng., 2020)

Convergence of a modified gradient-based learning algorithm with penalty for single-hidden-layer feed-forward networks. - Jian Wang 010; Bingjie Zhang 001; Zhaoyang Sang; Yusong Liu; Shujun Wu; Quan Miao (Neural Comput. Appl., 2020)

Learning Optimized Structure of Neural Networks by Hidden Node Pruning With L1 Regularization. - Xuetao Xie; Huaqing Zhang 002; Junze Wang; Qin Chang; Jian Wang 010; Nikhil R. Pal (IEEE Trans. Cybern., 2020)

Feature Selection for Neural Networks Using Group Lasso Regularization. - Huaqing Zhang 002; Jian Wang 010; Zhanquan Sun; Jacek M. Zurada; Nikhil R. Pal (IEEE Trans. Knowl. Data Eng., 2020)

AE-UPCP: Seeking Potential Membership Users by Audience Expansion Combining User Preference with Consumption Pattern. - Xiaokang Xu; Zhaohui Peng; Senzhang Wang; Shanshan Huang; Philip S. Yu; Zhenyun Hao; Jian Wang 010; Xue Wang (DASFAA (2), 2021)

Constraint Interpretable Double Parallel Neural Network and Its Applications in the Petroleum Industry. - Yunqi Jiang; Huaqing Zhang 002; Jian Wang 010; Kai Zhang 029; Nikhil R. Pal (ICIC (1), 2021)

Feature Selection for Fuzzy Neural Networks using Group Lasso Regularization. - Tao Gao 003; Xiao Bai 001; Liang Zhang; Jian Wang 010 (SSCI, 2021)

Zero-Reference Fractional-Order Low-Light Image Enhancement Based on Retinex Theory. - Qiang Zhang; Feiqi Fu; Kai Zhang 029; Feng Lin; Jian Wang 010 (SSCI, 2021)

A Slime Mold Fractional-Order Ant Colony Optimization Algorithm for Travelling Salesman Problems. - Ziheng Rong; Xiaoling Gong; Xiangyu Wang 013; Wei Lv; Jian Wang 010 (ICSI (1), 2021)

A modified conjugate gradient-based Elman neural network. - Long Li; Xuetao Xie; Tao Gao 003; Jian Wang 010 (Cogn. Syst. Res., 2021)

Development and Application of Efficient Oil Displacement System for Middle-Low Permeability and High Pour-Point Heavy Oil Reservoirs. - Zhenfu Ma; Kai Zhang 029; Mengjie Zhao; Lu Liu; Chao Zhong; Jian Wang 010 (Complex., 2021)

Convergence and objective functions of noise-injected multilayer perceptrons with hidden multipliers. - Xiangyu Wang 013; Jian Wang 010; Kai Zhang 029; Feng Lin; Qin Chang (Neurocomputing, 2021)

Efficient hierarchical surrogate-assisted differential evolution for high-dimensional expensive optimization. - Guodong Chen 002; Yong Li; Kai Zhang 029; Xiaoming Xue; Jian Wang 010; Qin Luo; Chuanjin Yao; Jun Yao (Inf. Sci., 2021)

Fractional-Order Retinex for Adaptive Contrast Enhancement of Under-Exposed Traffic Images. - Yi-Fei Pu; Ni Zhang; Zhengning Wang; Jian Wang 010; Zhang Yi 001; Yan Wang 015; Jiliu Zhou (IEEE Intell. Transp. Syst. Mag., 2021)

A global neural network learning machine: Coupled integer and fractional calculus operator with an adaptive learning scheme. - Huaqing Zhang 002; Yi-Fei Pu; Xuetao Xie; Bingran Zhang; Jian Wang 010; Tingwen Huang (Neural Networks, 2021)

Feature Selection Using a Neural Network With Group Lasso Regularization and Controlled Redundancy. - Jian Wang 010; Huaqing Zhang 002; Junze Wang; Yifei Pu; Nikhil R. Pal (IEEE Trans. Neural Networks Learn. Syst., 2021)

An interpretable Neural Network and Its Application in Inferring Inter-well Connectivity. - Huaqing Zhang 002; Yunqi Jiang; Jian Wang 010; Kai Zhang 029; Nikhil R. Pal (CACML, 2022)

Bagging-AdaTSK: An Ensemble Fuzzy Classifier for High-Dimensional Data. - Guangdong Xue; Bingjie Zhang 001; Xiaoling Gong; Jian Wang 010 (ICIC (3), 2022)

Dy-HIEN: Dynamic Evolution based Deep Hierarchical Intention Network for Membership Prediction. - Zhenyun Hao; Jianing Hao; Zhaohui Peng; Senzhang Wang; Philip S. Yu; Xue Wang; Jian Wang 010 (WSDM, 2022)

A radial basis function surrogate model assisted evolutionary algorithm for high-dimensional expensive optimization problems. - Guodong Chen 002; Kai Zhang 029; Xiaoming Xue; Liming Zhang; Chuanjin Yao; Jian Wang 010; Jun Yao (Appl. Soft Comput., 2022)

Editorial: Special Issue on Reliable Machine Learning and Optimization. - Nian Zhang; Jian Wang 010; Leszek Rutkowski (Int. J. Artif. Intell. Tools, 2022)

Sensitivity analysis of Takagi-Sugeno fuzzy neural network. - Jian Wang 010; Qin Chang; Tao Gao 003; Kai Zhang 029; Nikhil R. Pal (Inf. Sci., 2022)

Nonstationary fuzzy neural network based on FCMnet clustering and a modified CG method with Armijo-type rule. - Bingjie Zhang 001; Xiaoling Gong; Jian Wang 010; Fengzhen Tang; Kai Zhang 029; Wei Wu 010 (Inf. Sci., 2022)

Bilateral sensitivity analysis: a better understanding of a neural network. - Huaqing Zhang 002; Yunqi Jiang; Jian Wang 010; Kai Zhang 029; Nikhil R. Pal (Int. J. Mach. Learn. Cybern., 2022)

Unsupervised feature selection via adaptive autoencoder with redundancy control. - Xiaoling Gong; Ling Yu; Jian Wang 010; Kai Zhang 029; Xiao Bai 001; Nikhil R. Pal (Neural Networks, 2022)

A modified interval type-2 Takagi-Sugeno fuzzy neural network and its convergence analysis. - Tao Gao 003; Xiao Bai 001; Chen Wang 026; Liang Zhang; Jin Zheng; Jian Wang 010 (Pattern Recognit., 2022)

Fractional-Order Ant Colony Algorithm: A Fractional Long Term Memory Based Cooperative Learning Approach. - Yi-Fei Pu; Patrick Siarry; Wu-Yang Zhu; Jian Wang 010; Ni Zhang (Swarm Evol. Comput., 2022)

A Cluster-Based Competitive Particle Swarm Optimizer with a Sparse Truncation Operator for Multi-Objective Optimization. - Xiangyu Wang 013; Bingran Zhang; Jian Wang 010; Kai Zhang 029; Yaochu Jin (Swarm Evol. Comput., 2022)

An Enhanced Fractional Least Mean Square Filter Encountering the Specific Unknown System Vector. - Xuetao Xie; Yi-Fei Pu; Lei Li 033; Jian Wang 010 (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Affine Transformation-Enhanced Multifactorial Optimization for Heterogeneous Problems. - Xiaoming Xue; Kai Zhang 029; Kay Chen Tan; Liang Feng 001; Jian Wang 010; Guodong Chen 002; Xinggang Zhao; Liming Zhang; Jun Yao (IEEE Trans. Cybern., 2022)

An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization. - Xiangyu Wang 013; Kai Zhang 029; Jian Wang 010; Yaochu Jin (IEEE Trans. Evol. Comput., 2022)

An Input Weights Dependent Complex-Valued Learning Algorithm Based on Wirtinger Calculus. - Yi-Fei Pu; Xuetao Xie; Jinde Cao; Hua Chen; Kai Zhang 029; Jian Wang 010 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Mutually Guided Dendritic Neural Models. - Yanzi Feng; Jian Wang 010; Peng Ren 001; Sergey Ablameyko 001 (ICONIP (8), 2023)

Theory-Guided Convolutional Neural Network with an Enhanced Water Flow Optimizer. - Xiaofeng Xue; Xiaoling Gong; Jacek Mandziuk; Jun Yao; El-Sayed M. El-Alfy; Jian Wang 010 (ICONIP (1), 2023)

An Attention Mechanism-Based Microservice Placement Scheme for On-Star Edge Computing Nodes. - Xiangyu Su; Amr Tolba; Yuxi Lu; Lizhuang Tan; Jian Wang 010; Peiying Zhang 001 (IEEE Access, 2023)

Double groups of gates based Takagi-Sugeno-Kang (DG-TSK) fuzzy system for simultaneous feature selection and rule extraction. - Guangdong Xue; Jian Wang 010; Bingjie Zhang 001; Bin Yuan; Caili Dai (Fuzzy Sets Syst., 2023)

A fractional filter based on reinforcement learning for effective tracking under impulsive noise. - Xuetao Xie; Zhiping Li; Yi-Fei Pu; Jian Wang 010; Weihua Zhang; Yang Wen (Neurocomputing, 2023)

SOR-TC: Self-attentive octave ResNet with temporal consistency for compressed video action recognition. - Junsan Zhang; Xiaomin Wang; Yao Wan 001; Leiquan Wang; Jian Wang 010; Philip S. Yu (Neurocomputing, 2023)

Robust Low-Rank Matrix Recovery as Mixed Integer Programming via $ ell _{0}$-Norm Optimization. - Zhanglei Shi; Xiao Peng Li 005; Weiguo Li; Tongjiang Yan; Jian Wang 010; Yaru Fu (IEEE Signal Process. Lett., 2023)

An Adaptive Neuro-Fuzzy System With Integrated Feature Selection and Rule Extraction for High-Dimensional Classification Problems. - Guangdong Xue; Qin Chang; Jian Wang 010; Kai Zhang 029; Nikhil Ranjan Pal (IEEE Trans. Fuzzy Syst., 2023)

A fractional gradient descent algorithm robust to the initial weights of multilayer perceptron. - Xuetao Xie; Yi-Fei Pu; Jian Wang 010 (Neural Networks, 2023)

A Multilevel Spatial and Spectral Feature Extraction Network for Marine Oil Spill Monitoring Using Airborne Hyperspectral Image. - Jian Wang 010; Zhongwei Li; Junfang Yang; Shanwei Liu; Jie Zhang 019; Shibao Li (Remote. Sens., 2023)

Special issue on deep interpretation of deep learning: prediction, representation, modeling and utilization. - Nian Zhang; Jian Wang 010; Leszek Rutkowski (Neural Comput. Appl., 2023)

Hyperspectral Image Classification Based on Dense Pyramidal Convolution and Multi-Feature Fusion. - Junsan Zhang; Li Zhao; Hongzhao Jiang; Shigen Shen; Jian Wang 010; Peiying Zhang 001; Wei Zhang 049; Leiquan Wang (Remote. Sens., 2023)

Multi-domain clustering pruning: Exploring space and frequency similarity based on GAN. - Junsan Zhang; Yeqi Feng; Chao Wang 093; Mingwen Shao; Yujie Jiang; Jian Wang 010 (Neurocomputing, 2023)

Hyperspectral Marine Oil Spill Monitoring Using a Dual-Branch Spatial-Spectral Fusion Model. - Junfang Yang; Jian Wang 010; Yabin Hu; Yi Ma 004; Zhongwei Li; Jie Zhang 019 (Remote. Sens., 2023)

Pseudo inverse versus iterated projection: Novel learning approach and its application on broad learning system. - Faliang Yin; Weiguo Li; Kai Zhang 029; Jian Wang 010; Nikhil R. Pal (Inf. Sci., 2023)

A smoothing Group Lasso based interval type-2 fuzzy neural network for simultaneous feature selection and system identification. - Tao Gao 003; Chen Wang 026; Jin Zheng; Guoqiang Wu; Xin Ning 001; Xiao Bai 001; Jun Yang; Jian Wang 010 (Knowl. Based Syst., 2023)

DG-ALETSK: A High-Dimensional Fuzzy Approach With Simultaneous Feature Selection and Rule Extraction. - Guangdong Xue; Jian Wang 010; Bin Yuan; Caili Dai (IEEE Trans. Fuzzy Syst., 2023)

Local search resource allocation algorithm for space-based backbone network in Deep Reinforcement Learning method. - Peiying Zhang 001; Zixuan Cui; Neeraj Kumar 001; Jian Wang 010; Wei Zhang 049; Lizhuang Tan (Ad Hoc Networks, 2024)

Generative adversarial imitation learning assisted virtual network embedding algorithm for space-air-ground integrated network. - Peiying Zhang 001; Ziyu Xu; Neeraj Kumar 001; Jian Wang 010; Lizhuang Tan; Ahmad Almogren (Comput. Commun., 2024)

An improved generative adversarial network to oversample imbalanced datasets. - Tingting Pan; Witold Pedrycz; Jie Yang 007; Jian Wang 010 (Eng. Appl. Artif. Intell., 2024)

Theory guided Lagrange programming neural network for subsurface flow problems. - Jian Wang 010; Xiaofeng Xue; Zhixue Sun; Jun Yao; El-Sayed M. El-Alfy; Kai Zhang 029; Witold Pedrycz; Jacek Mandziuk (Eng. Appl. Artif. Intell., 2024)

An improved DDPG-based privacy sensitive level protection computation offloading method in mobile edge computing. - Hongxia Zhang; Luyao Cao; Neeraj Kumar 001; Jianyong Zhang; Peiying Zhang 001; Jian Wang 010 (Future Gener. Comput. Syst., 2024)

Blockchain-based secure communication of internet of things in space-air-ground integrated network. - Yi Zhang 134; Peiying Zhang 001; Mohsen Guizani; Jianyong Zhang; Jian Wang 010; Hailong Zhu; Kostromitin Konstantin Igorevich; Huiling Shi (Future Gener. Comput. Syst., 2024)

A Blockchain-Reinforced Federated Intrusion Detection Architecture for IIoT. - Dingde Jiang; Zhihao Wang 001; Ye Wang; Li-Zhuang Tan; Jian Wang 010; Peiying Zhang 001 (IEEE Internet Things J., 2024)

Reliability-assured service function chain migration strategy in edge networks using deep reinforcement learning. - Yilin Li; Peiying Zhang 001; Neeraj Kumar 001; Mohsen Guizani; Jian Wang 010; Konstantin Kostromitin Igorevich; Yi Wang; Lizhuang Tan (J. Netw. Comput. Appl., 2024)

A service function chain mapping scheme based on functional aggregation in space-air-ground integrated networks. - Peiying Zhang 001; Kunkun Yan; Neeraj Kumar 001; Lizhuang Tan; Mohsen Guizani; Konstantin Kostromitin Igorevich; Jian Wang 010; Jianyong Zhang (J. Netw. Comput. Appl., 2024)

Adaptive Nonstationary Fuzzy Neural Network. - Qin Chang; Zhen Zhang 002; Fanyue Wei; Jian Wang 010; Witold Pedrycz; Nikhil R. Pal (Knowl. Based Syst., 2024)

Embedded feature selection approach based on TSK fuzzy system with sparse rule base for high-dimensional classification problems. - Xiaoling Gong; Jian Wang 010; Qilin Ren; Kai Zhang 029; El-Sayed M. El-Alfy; Jacek Mandziuk (Knowl. Based Syst., 2024)

Unsupervised image enhancement under non-uniform illumination based on paired CNNs. - Feng Lin; Huaqing Zhang 002; Jian Wang 010; Jun Wang (Neural Networks, 2024)

Evolutionary computation for feature selection in classification: A comprehensive survey of solutions, applications and challenges. - Xianfang Song; Yong Zhang 016; Wanqiu Zhang; Chunlin He; Ying Hu 006; Jian Wang 010; Dunwei Gong (Swarm Evol. Comput., 2024)

Energy Allocation for Vehicle-to-Grid Settings: A Low-Cost Proposal Combining DRL and VNE. - Peiying Zhang 001; Ning Chen 011; Neeraj Kumar 001; Laith Abualigah; Mohsen Guizani; Youxiang Duan; Jian Wang 010; Sheng Wu 001 (IEEE Trans. Sustain. Comput., 2024)

CE-VNE: Constraint escalation virtual network embedding algorithm assisted by graph convolutional networks. - Peiying Zhang 001; Zhihu Luo; Neeraj Kumar 001; Mohsen Guizani; Hongxia Zhang; Jian Wang 010 (J. Netw. Comput. Appl., 2024)

High-Dimensional Fuzzy Inference Systems. - Guangdong Xue; Jian Wang 010; Kai Zhang 029; Nikhil R. Pal (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Zero-order fuzzy neural network with adaptive fuzzy partition and its applications on high-dimensional problems. - Bingjie Zhang 001; Jian Wang 010; Chao Zhang 017; Jie Yang 007; Tufan Kumbasar; Wei Wu 010 (Neurocomputing, 2024)

Anomaly Detection With Memory-Augmented Adversarial Autoencoder Networks for Industry 5.0. - Huan Zhang 015; Neeraj Kumar 001; Sheng Wu 001; Chunlei Wu; Jian Wang 010; Peiying Zhang 001 (IEEE Trans. Consumer Electron., 2024)

Fractional Approximation of Broad Learning System. - Shujun Wu; Jian Wang 010; Huaying Sun; Kai Zhang 029; Nikhil R. Pal (IEEE Trans. Cybern., 2024)

A New Oversampling Method Based on Triangulation of Sample Space. - Yueqi Chen; Witold Pedrycz; Jian Wang 010; Chao Zhang 017; Jie Yang 007 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Load balancing strategy for SDN multi-controller clusters based on load prediction. - Junbi Xiao; Xingjian Pan; Jianhang Liu; Jian Wang 010; Peiying Zhang 001; Laith Abualigah (J. Supercomput., 2024)

Correction to: Load balancing strategy for SDN multi-controller clusters based on load prediction. - Junbi Xiao; Xingjian Pan; Jianhang Liu; Jian Wang 010; Peiying Zhang 001; Laith Abualigah (J. Supercomput., 2024)

Improving Test Data Generation for MPI Program Path Coverage With FERPSO-IMPR and Surrogate-Assisted Models. - Yong Wang 002; Wenzhong Cui; Gai-Ge Wang; Jian Wang 010; Dunwei Gong (IEEE Trans. Software Eng., 2024)

An interpretable neural network for robustly determining the location and number of cluster centers. - Xuetao Xie; Yi-Fei Pu; Huaqing Zhang 002; Jacek Mandziuk; El-Sayed M. El-Alfy; Jian Wang 010 (Int. J. Mach. Learn. Cybern., 2024)

Dynamic Scheduling of IoV Edge Cloud Service Functions Under NFV: A Multi-Agent Reinforcement Learning Approach. - Yuxi Lu; Peiying Zhang 001; Youxiang Duan; Mohsen Guizani; Jian Wang 010; Shibao Li (IEEE Trans. Veh. Technol., 2024)

Takagi-Sugeno-Kang Fuzzy Systems for High-Dimensional Multilabel Classification. - Ziwei Bian; Qin Chang; Jian Wang 010; Witold Pedrycz; Nikhil R. Pal (IEEE Trans. Fuzzy Syst., 2024)

Energy efficient resource allocation based on virtual network embedding for IoT data generation. - Lizhuang Tan; Amjad Aldweesh; Ning Chen 011; Jian Wang 010; Jianyong Zhang; Yi Zhang 134; Konstantin Kostromitin Igorevich; Peiying Zhang 001 (Autom. Softw. Eng., 2024)

A typhoon optimization algorithm and difference of CNN integrated bi-level network for unsupervised underwater image enhancement. - Feng Lin; Jian Wang 010; Witold Pedrycz; Kai Zhang 029; Sergey Ablameyko 001 (Appl. Intell., 2024)

Unmanned aerial vehicle assisted communication: applications, challenges, and future outlook. - Yilin Li; Yanxian Bi; Jian Wang 010; Zhiqiang Li; Hongxia Zhang; Peiying Zhang 001 (Clust. Comput., 2024)

Real-time microexpression recognition in educational scenarios using a dual-branch continuous attention network. - Yan Lv; Meng Ning; Fan Zhou 011; Pengfei Lv; Peiying Zhang 001; Jian Wang 010 (J. Supercomput., 2024)

Energy Aware Space-Air-Ground Integrated Network Resource Orchestration Algorithm. - Peiying Zhang 001; Zhiqiang Li; Mohsen Guizani; Neeraj Kumar 001; Keping Yu; Jian Wang 010 (IEEE Trans. Veh. Technol., 2024)

Joint optimization of computation offloading and power control in user-centric networks based on dual layer mobile edge computing. - Peiying Zhang 001; Yuekai Sun; Lizhuang Tan; Maher Guizani; Mohammad Kamrul Hasan; Jian Wang 010 (Ad Hoc Networks, 2025)

Generative adversarial physics-informed neural networks for solving forward and inverse problem with small labeled samples. - Wensheng Li; Chuncheng Wang; Hanting Guan; Jian Wang 010; Jie Yang 007; Chao Zhang 017; Dacheng Tao (Comput. Math. Appl., 2025)

P4Drop: A lightweight security function for filtering TCP spoofing packets on programmable switches. - Junbi Xiao; Zhaoyu Yin; Yuhao Zhou; Kai Liu 030; Jian Wang 010; Peiying Zhang 001 (Comput. Secur., 2025)

Adaptive constraint-guided surrogate enhanced evolutionary algorithm for horizontal well placement optimization in oil reservoir. - Qinyang Dai; Liming Zhang; Peng Wang; Kai Zhang 029; Guodong Chen 002; Zhangxing Chen; Xiaoming Xue; Jian Wang 010; Chen Liu; Xia Yan; Piyang Liu; Dawei Wu; et al. (Comput. Geosci., 2025)

A two-mode offspring generation selection mechanism with co-evolution for sparse large-scale multiobjective optimization. - Xiaodong Huang; Jian Wang 010; Gaige Wang; Yong Zhang 016; Dunwei Gong; Yaochu Jin; Nikhil R. Pal (Inf. Sci., 2025)

An enhanced sparse multiobjective evolutionary algorithm in large-scale multiobjective optimization. - Xiaodong Huang; Jian Wang 010; Kai Zhang 029; Bin Yuan; Caili Dai; Sergey V. Ablameyko 001 (Inf. Sci., 2025)

Interpretable inverse iteration mean shift networks for clustering tasks. - Bingjie Zhang 001; Zihan Yu; Jian Wang 010; Maciej Zelaszczyk; Yaqian Zhang; Jacek Mandziuk; Chao Zhang 017; Witold Pedrycz (Neural Networks, 2025)

A Nonlinear Dimensionality Reduction Search Improved Differential Evolution for large-scale optimization. - Yifei Yang; Haotian Li; Zhenyu Lei 002; Haichuan Yang; Jian Wang 010 (Swarm Evol. Comput., 2025)

Solving sparse multi-objective optimization problems via dynamic adaptive grouping and reward-penalty sparse strategies. - Zhenxing Yu; Qinwei Fan; Jacek M. Zurada; Jigen Peng; Haiyang Li; Jian Wang 010 (Swarm Evol. Comput., 2025)

Enhancing task offloading in vehicular networks: A multi-agent cloud-edge-device framework. - Peiying Zhang 001; Enqi Wang; Lizhuang Tan; Neeraj Kumar 001; Jian Wang 010; Kai Liu 030 (Veh. Commun., 2025)

Convergence Analysis of Regularized Elman Neural Networks Under Relaxed Conditions. - Qinwei Fan; Li Zhou; Jacek M. Zurada; Jigen Peng; Haiyang Li; Jian Wang 010; Dakun Yang (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Universal Approximation Abilities of a Modular Differentiable Neural Network. - Jian Wang 010; Shujun Wu; Huaqing Zhang 002; Bin Yuan; Caili Dai; Nikhil R. Pal (IEEE Trans. Neural Networks Learn. Syst., 2025)

Bi-Level Spectral Feature Selection. - Zebiao Hu; Jian Wang 010; Kai Zhang 029; Witold Pedrycz; Nikhil R. Pal (IEEE Trans. Neural Networks Learn. Syst., 2025)

Unsupervised Feature Selection for High-Order Embedding Learning and Sparse Learning. - Zebiao Hu; Jian Wang 010; Jacek Mandziuk; Zhongxin Ren; Nikhil R. Pal (IEEE Trans. Cybern., 2025)

6G SAGIN Information Transmission Model. - Yuexia Zhang 001; Xinyi Wang 002; Yuanshuo Gang; Jian Wang 010; Sheng Wu 001; Peiying Zhang 001; Yuanming Shi (IEEE Commun. Mag., 2025)

ADMTSK: A High-Dimensional Takagi-Sugeno-Kang Fuzzy System Based on Adaptive Dombi T-Norm. - Guangdong Xue; Liangjian Hu; Jian Wang 010; Sergey Ablameyko 001 (IEEE Trans. Fuzzy Syst., 2025)

Global and Local Search Experience-Based Evolutionary Sequential Transfer Optimization. - Chenming Cao; Kai Zhang 029; Xiaoming Xue; Kay Chen Tan; Jian Wang 010; Liming Zhang; Piyang Liu; Xia Yan (IEEE Trans. Evol. Comput., 2025)

Multihead Takagi-Sugeno-Kang Fuzzy System. - Ziwei Bian; Qin Chang; Jian Wang 010; Nikhil R. Pal (IEEE Trans. Fuzzy Syst., 2025)

Synergistic integration of metaheuristics and machine learning: latest advances and emerging trends. - Ruining Zhang; Jian Wang 010; Chanjuan Liu; Kaile Su; Hisao Ishibuchi; Yaochu Jin (Artif. Intell. Rev., 2025)

A Fractional Momentum Enhanced Fractional Filter for the Memristor-Based Volume Controller. - Xuetao Xie; Yi-Fei Pu; Jian Wang 010 (IEEE Trans. Circuits Syst. II Express Briefs, 2025)

In-situ data scheduling optimization based on rainbow DQN for IIoT. - Peiying Zhang 001; Siyi Li; Lizhuang Tan; Neeraj Kumar 001; Jian Wang 010; Kai Liu 030 (Future Gener. Comput. Syst., 2026)