Weijie Ren
Orcid: 0000-0002-2711-8813
According to our database1,
Weijie Ren
authored at least 37 papers
between 2015 and 2023.
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Bibliography
2023
Guaranteed Set-Membership Estimation for Local Nonlinear Uncertain Fuzzy Systems Subject to Partially Decouplable Unknown Inputs.
IEEE Trans. Fuzzy Syst., December, 2023
SoftwareX, December, 2023
Hierarchical Echo State Network With Sparse Learning: A Method for Multidimensional Chaotic Time Series Prediction.
IEEE Trans. Neural Networks Learn. Syst., November, 2023
Physics-informed hierarchical echo state network for predicting the dynamics of chaotic systems.
Expert Syst. Appl., October, 2023
Kernel Generalized Half-Quadratic Correntropy Conjugate Gradient Algorithm for Online Prediction of Chaotic Time Series.
Circuits Syst. Signal Process., May, 2023
Multivariate Time Series Predictor With Parameter Optimization and Feature Selection Based on Modified Binary Salp Swarm Algorithm.
IEEE Trans. Ind. Informatics, April, 2023
Sensitivity Deterioration of Free-Space Optical Coherent/Non-Coherent OOK Modulation Receiver by Ambient Light Noise.
Sensors, February, 2023
Multistep-Ahead Chaotic Time Series Prediction Based on Hierarchical Echo State Network With Augmented Random Features.
IEEE Trans. Cogn. Dev. Syst., 2023
Kernel general loss algorithm based on evolving participatory learning for online time series prediction.
Eng. Appl. Artif. Intell., 2023
Numerical stability analysis of shock-capturing methods for strong shocks II: high-order finite-volume schemes.
CoRR, 2023
Numerical stability analysis of shock-capturing methods for strong shocks I: second-order MUSCL schemes.
CoRR, 2023
Separation of Mixed Near-field and Far-field Sources and DOA Estimation based on Deep Learning.
Proceedings of the 15th IEEE International Conference on Advanced Infocomm Technology, 2023
2022
Reachability Analysis-Based Interval Estimation for Discrete-Time Takagi-Sugeno Fuzzy Systems.
IEEE Trans. Fuzzy Syst., 2022
Modified BBO-Based Multivariate Time-Series Prediction System With Feature Subset Selection and Model Parameter Optimization.
IEEE Trans. Cybern., 2022
Learning Both Dynamic-Shared and Dynamic-Specific Patterns for Chaotic Time-Series Prediction.
IEEE Trans. Cybern., 2022
Zonotopic interval estimation for discrete-time Takagi-Sugeno fuzzy systems with a delayed nonquadratic framework.
J. Frankl. Inst., 2022
Mutual Information Variational Autoencoders and Its Application to Feature Extraction of Multivariate Time Series.
Int. J. Pattern Recognit. Artif. Intell., 2022
A hybrid model of stacked autoencoder and modified particle swarm optimization for multivariate chaotic time series forecasting.
Appl. Soft Comput., 2022
2021
Time series prediction based on echo state network tuned by divided adaptive multi-objective differential evolution algorithm.
Soft Comput., 2021
Hierarchical delay-memory echo state network: A model designed for multi-step chaotic time series prediction.
Eng. Appl. Artif. Intell., 2021
Adaptive Sparse Quantization Kernel Least Mean Square Algorithm for Online Prediction of Chaotic Time Series.
Circuits Syst. Signal Process., 2021
Further studies on numerical instabilities of Godunov-type schemes for strong shocks.
Comput. Math. Appl., 2021
Zonotopic Kalman Observer-based Sensor Fault Estimation for Discrete-Time Takagi-Sugeno Fuzzy Systems.
Proceedings of the 17th IEEE International Conference on Advanced Motion Control, 2021
2020
Quantized generalized maximum correntropy criterion based kernel recursive least squares for online time series prediction.
Eng. Appl. Artif. Intell., 2020
IEEE Access, 2020
Particle Swarm optimization based Neural Network Model for Chaotic Time Series Forecasting.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020
2019
Multivariate Chaotic Time Series Prediction Based on Improved Grey Relational Analysis.
IEEE Trans. Syst. Man Cybern. Syst., 2019
IEEE Trans. Cybern., 2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
A Hybrid Model Based on a Two-Layer Decomposition Approach and an Optimized Neural Network for Chaotic Time Series Prediction.
Symmetry, 2019
Classification of EEG Signals Using Hybrid Feature Extraction and Ensemble Extreme Learning Machine.
Neural Process. Lett., 2019
Robust manifold broad learning system for large-scale noisy chaotic time series prediction: A perturbation perspective.
Neural Networks, 2019
A new feature selection method based on symmetrical uncertainty and interaction gain.
Comput. Biol. Chem., 2019
A Combination Model Based on EEMD-PE and Echo State Network for Chaotic Time Series Prediction.
Proceedings of the Eleventh International Conference on Advanced Computational Intelligence, 2019
2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
Global mutual information-based feature selection approach using single-objective and multi-objective optimization.
Neurocomputing, 2015
Joint mutual information-based input variable selection for multivariate time series modeling.
Eng. Appl. Artif. Intell., 2015