Jian Wang
Orcid: 0000-0002-4316-932XAffiliations:
- University of Petroleum, College of Science, Qingdao, China
- Dalian University of Technology, Computational Mathematics, China (PhD 2012)
- University of Louisville, Department of Electrical and Computer Engineering, KY, USA (former)
According to our database1,
Jian Wang
authored at least 111 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on zbmath.org
-
on orcid.org
On csauthors.net:
Bibliography
2024
Energy efficient resource allocation based on virtual network embedding for IoT data generation.
Autom. Softw. Eng., November, 2024
IEEE Trans. Fuzzy Syst., June, 2024
Dynamic Scheduling of IoV Edge Cloud Service Functions Under NFV: A Multi-Agent Reinforcement Learning Approach.
IEEE Trans. Veh. Technol., April, 2024
An interpretable neural network for robustly determining the location and number of cluster centers.
Int. J. Mach. Learn. Cybern., April, 2024
Improving Test Data Generation for MPI Program Path Coverage With FERPSO-IMPR and Surrogate-Assisted Models.
IEEE Trans. Software Eng., March, 2024
Correction to: Load balancing strategy for SDN multi-controller clusters based on load prediction.
J. Supercomput., March, 2024
J. Supercomput., March, 2024
IEEE Trans. Syst. Man Cybern. Syst., February, 2024
IEEE Trans. Cybern., February, 2024
Anomaly Detection With Memory-Augmented Adversarial Autoencoder Networks for Industry 5.0.
IEEE Trans. Consumer Electron., February, 2024
Zero-order fuzzy neural network with adaptive fuzzy partition and its applications on high-dimensional problems.
Neurocomputing, February, 2024
IEEE Trans. Syst. Man Cybern. Syst., January, 2024
CE-VNE: Constraint escalation virtual network embedding algorithm assisted by graph convolutional networks.
J. Netw. Comput. Appl., January, 2024
Energy Allocation for Vehicle-to-Grid Settings: A Low-Cost Proposal Combining DRL and VNE.
IEEE Trans. Sustain. Comput., 2024
Evolutionary computation for feature selection in classification: A comprehensive survey of solutions, applications and challenges.
Swarm Evol. Comput., 2024
Neural Networks, 2024
Embedded feature selection approach based on TSK fuzzy system with sparse rule base for high-dimensional classification problems.
Knowl. Based Syst., 2024
A service function chain mapping scheme based on functional aggregation in space-air-ground integrated networks.
J. Netw. Comput. Appl., 2024
IEEE Internet Things J., 2024
Blockchain-based secure communication of internet of things in space-air-ground integrated network.
Future Gener. Comput. Syst., 2024
An improved DDPG-based privacy sensitive level protection computation offloading method in mobile edge computing.
Future Gener. Comput. Syst., 2024
Eng. Appl. Artif. Intell., 2024
Eng. Appl. Artif. Intell., 2024
Local search resource allocation algorithm for space-based backbone network in Deep Reinforcement Learning method.
Ad Hoc Networks, 2024
2023
DG-ALETSK: A High-Dimensional Fuzzy Approach With Simultaneous Feature Selection and Rule Extraction.
IEEE Trans. Fuzzy Syst., November, 2023
A smoothing Group Lasso based interval type-2 fuzzy neural network for simultaneous feature selection and system identification.
Knowl. Based Syst., November, 2023
Pseudo inverse versus iterated projection: Novel learning approach and its application on broad learning system.
Inf. Sci., November, 2023
Hyperspectral Marine Oil Spill Monitoring Using a Dual-Branch Spatial-Spectral Fusion Model.
Remote. Sens., September, 2023
Multi-domain clustering pruning: Exploring space and frequency similarity based on GAN.
Neurocomputing, July, 2023
Hyperspectral Image Classification Based on Dense Pyramidal Convolution and Multi-Feature Fusion.
Remote. Sens., June, 2023
Special issue on deep interpretation of deep learning: prediction, representation, modeling and utilization.
Neural Comput. Appl., May, 2023
A Multilevel Spatial and Spectral Feature Extraction Network for Marine Oil Spill Monitoring Using Airborne Hyperspectral Image.
Remote. Sens., March, 2023
A fractional gradient descent algorithm robust to the initial weights of multilayer perceptron.
Neural Networks, January, 2023
An Adaptive Neuro-Fuzzy System With Integrated Feature Selection and Rule Extraction for High-Dimensional Classification Problems.
IEEE Trans. Fuzzy Syst., 2023
Robust Low-Rank Matrix Recovery as Mixed Integer Programming via $\ell _{0}$-Norm Optimization.
IEEE Signal Process. Lett., 2023
SOR-TC: Self-attentive octave ResNet with temporal consistency for compressed video action recognition.
Neurocomputing, 2023
A fractional filter based on reinforcement learning for effective tracking under impulsive noise.
Neurocomputing, 2023
Double groups of gates based Takagi-Sugeno-Kang (DG-TSK) fuzzy system for simultaneous feature selection and rule extraction.
Fuzzy Sets Syst., 2023
An Attention Mechanism-Based Microservice Placement Scheme for On-Star Edge Computing Nodes.
IEEE Access, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
2022
An Input Weights Dependent Complex-Valued Learning Algorithm Based on Wirtinger Calculus.
IEEE Trans. Syst. Man Cybern. Syst., 2022
An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2022
Affine Transformation-Enhanced Multifactorial Optimization for Heterogeneous Problems.
IEEE Trans. Cybern., 2022
An Enhanced Fractional Least Mean Square Filter Encountering the Specific Unknown System Vector.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
A Cluster-Based Competitive Particle Swarm Optimizer with a Sparse Truncation Operator for Multi-Objective Optimization.
Swarm Evol. Comput., 2022
Fractional-Order Ant Colony Algorithm: A Fractional Long Term Memory Based Cooperative Learning Approach.
Swarm Evol. Comput., 2022
A modified interval type-2 Takagi-Sugeno fuzzy neural network and its convergence analysis.
Pattern Recognit., 2022
Neural Networks, 2022
Int. J. Mach. Learn. Cybern., 2022
Nonstationary fuzzy neural network based on FCMnet clustering and a modified CG method with Armijo-type rule.
Inf. Sci., 2022
Int. J. Artif. Intell. Tools, 2022
A radial basis function surrogate model assisted evolutionary algorithm for high-dimensional expensive optimization problems.
Appl. Soft Comput., 2022
Dy-HIEN: Dynamic Evolution based Deep Hierarchical Intention Network for Membership Prediction.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022
An interpretable Neural Network and Its Application in Inferring Inter-well Connectivity.
Proceedings of the Asia Conference on Algorithms, Computing and Machine Learning, 2022
2021
Feature Selection Using a Neural Network With Group Lasso Regularization and Controlled Redundancy.
IEEE Trans. Neural Networks Learn. Syst., 2021
A global neural network learning machine: Coupled integer and fractional calculus operator with an adaptive learning scheme.
Neural Networks, 2021
Fractional-Order Retinex for Adaptive Contrast Enhancement of Under-Exposed Traffic Images.
IEEE Intell. Transp. Syst. Mag., 2021
Efficient hierarchical surrogate-assisted differential evolution for high-dimensional expensive optimization.
Inf. Sci., 2021
Convergence and objective functions of noise-injected multilayer perceptrons with hidden multipliers.
Neurocomputing, 2021
Development and Application of Efficient Oil Displacement System for Middle-Low Permeability and High Pour-Point Heavy Oil Reservoirs.
Complex., 2021
A Slime Mold Fractional-Order Ant Colony Optimization Algorithm for Travelling Salesman Problems.
Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Constraint Interpretable Double Parallel Neural Network and Its Applications in the Petroleum Industry.
Proceedings of the Intelligent Computing Theories and Application, 2021
AE-UPCP: Seeking Potential Membership Users by Audience Expansion Combining User Preference with Consumption Pattern.
Proceedings of the Database Systems for Advanced Applications, 2021
2020
IEEE Trans. Knowl. Data Eng., 2020
Learning Optimized Structure of Neural Networks by Hidden Node Pruning With L<sub>1</sub> Regularization.
IEEE Trans. Cybern., 2020
Convergence of a modified gradient-based learning algorithm with penalty for single-hidden-layer feed-forward networks.
Neural Comput. Appl., 2020
Fractional-order global optimal backpropagation machine trained by an improved fractional-order steepest descent method.
Frontiers Inf. Technol. Electron. Eng., 2020
A recalling-enhanced recurrent neural network: Conjugate gradient learning algorithm and its convergence analysis.
Inf. Sci., 2020
Concurr. Comput. Pract. Exp., 2020
A topology-based single-pool decomposition framework for large-scale global optimization.
Appl. Soft Comput., 2020
2019
Weight Noise Injection-Based MLPs With Group Lasso Penalty: Asymptotic Convergence and Application to Node Pruning.
IEEE Trans. Cybern., 2019
Fully complex conjugate gradient-based neural networks using Wirtinger calculus framework: Deterministic convergence and its application.
Neural Networks, 2019
Conjugate gradient-based Takagi-Sugeno fuzzy neural network parameter identification and its convergence analysis.
Neurocomputing, 2019
Fractional-order Backpropagation Neural Networks: Modified Fractional-order Steepest Descent Method for Family of Backpropagation Neural Networks.
CoRR, 2019
An Improved Ant Colony Optimization Algorithm Based on Fractional Order Memory for Traveling Salesman Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
2018
A Novel Pruning Algorithm for Smoothing Feedforward Neural Networks Based on Group Lasso Method.
IEEE Trans. Neural Networks Learn. Syst., 2018
A novel conjugate gradient method with generalized Armijo search for efficient training of feedforward neural networks.
Neurocomputing, 2018
A Polak-Ribière-Polyak Conjugate Gradient-Based Neuro-Fuzzy Network and its Convergence.
IEEE Access, 2018
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018
An Efficient Elman Neural Networks Based on Improved Conjugate Gradient Method with Generalized Armijo Search.
Proceedings of the Intelligent Computing Theories and Application, 2018
Fully Complex-Valued Wirtinger Conjugate Neural Networks with Generalized Armijo Search.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
2017
Fractional-order gradient descent learning of BP neural networks with Caputo derivative.
Neural Networks, 2017
Convergence analyses on sparse feedforward neural networks via group lasso regularization.
Inf. Sci., 2017
Appl. Soft Comput., 2017
IEEE Access, 2017
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
An Improved Conjugate Gradient Neural Networks Based on a Generalized Armijo Search Method.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
An Efficient Algorithm for Complex-Valued Neural Networks Through Training Input Weights.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
Boundedness and convergence analysis of weight elimination for cyclic training of neural networks.
Neural Networks, 2016
A Conjugate Gradient-Based Efficient Algorithm for Training Single-Hidden-Layer Neural Networks.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
2015
Neurocomputing, 2015
2014
Batch gradient method with smoothing L<sub>1/2</sub> regularization for training of feedforward neural networks.
Neural Networks, 2014
J. Zhejiang Univ. Sci. C, 2014
A modified gradient learning algorithm with smoothing L<sub>1/2</sub> regularization for Takagi-Sugeno fuzzy models.
Neurocomputing, 2014
Neurocomputing, 2014
Practical and fast quantum random number generation based on photon arrival time relative to external reference.
CoRR, 2014
Proceedings of the Artificial Intelligence and Soft Computing, 2014
2012
Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning with penalty.
Neural Networks, 2012
Computational Properties of Cyclic and Almost-Cyclic Learning with Momentum for Feedforward Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
2011
Convergence of Cyclic and Almost-Cyclic Learning With Momentum for Feedforward Neural Networks.
IEEE Trans. Neural Networks, 2011
Neural Networks, 2011
Deterministic convergence of conjugate gradient method for feedforward neural networks.
Neurocomputing, 2011
Boundedness and convergence of MPN for cyclic and almost cyclic learning with penalty.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011