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Weijie Ren
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2020 – today
- 2024
- [j32]Weijie Ren, Wenjia Xie, Ye Zhang, Hang Yu, Zhengyu Tian:
Version [1.1] - [MSAT: Matrix stability analysis tool for shock-capturing schemes]. SoftwareX 26: 101695 (2024) - [j31]Lei Hu, Xinghan Xu, Weijie Ren, Min Han:
Hierarchical Evolving Fuzzy System: A Method for Multidimensional Chaotic Time Series Online Prediction. IEEE Trans. Fuzzy Syst. 32(6): 3329-3341 (2024) - 2023
- [j30]Huijuan Xia, Weijie Ren, Min Han:
Kernel Generalized Half-Quadratic Correntropy Conjugate Gradient Algorithm for Online Prediction of Chaotic Time Series. Circuits Syst. Signal Process. 42(5): 2698-2722 (2023) - [j29]Min Han, Huijuan Xia, Weijie Ren:
Kernel general loss algorithm based on evolving participatory learning for online time series prediction. Eng. Appl. Artif. Intell. 124: 106600 (2023) - [j28]Xiaodong Na, Yuan Li, Weijie Ren, Min Han:
Physics-informed hierarchical echo state network for predicting the dynamics of chaotic systems. Expert Syst. Appl. 228: 120155 (2023) - [j27]Weijie Ren, Jianfeng Sun, Haisheng Cong, Yuxin Jiang:
Sensitivity Deterioration of Free-Space Optical Coherent/Non-Coherent OOK Modulation Receiver by Ambient Light Noise. Sensors 23(4): 2140 (2023) - [j26]Weijie Ren, Wenjia Xie, Ye Zhang, Hang Yu, Zhengyu Tian:
MSAT: Matrix stability analysis tool for shock-capturing schemes. SoftwareX 24: 101566 (2023) - [j25]Xiaodong Na, Mengyuan Zhang, Weijie Ren, Min Han:
Multistep-Ahead Chaotic Time Series Prediction Based on Hierarchical Echo State Network With Augmented Random Features. IEEE Trans. Cogn. Dev. Syst. 15(2): 700-711 (2023) - [j24]Weijie Ren, Shenghui Guo, Choon Ki Ahn:
Guaranteed Set-Membership Estimation for Local Nonlinear Uncertain Fuzzy Systems Subject to Partially Decouplable Unknown Inputs. IEEE Trans. Fuzzy Syst. 31(12): 4336-4349 (2023) - [j23]Weijie Ren, Dewei Ma, Min Han:
Multivariate Time Series Predictor With Parameter Optimization and Feature Selection Based on Modified Binary Salp Swarm Algorithm. IEEE Trans. Ind. Informatics 19(4): 6150-6159 (2023) - [j22]Xiaodong Na, Weijie Ren, Moran Liu, Min Han:
Hierarchical Echo State Network With Sparse Learning: A Method for Multidimensional Chaotic Time Series Prediction. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9302-9313 (2023) - [c5]Meibin Qi, Weijie Ren, Houhong Xiang:
Separation of Mixed Near-field and Far-field Sources and DOA Estimation based on Deep Learning. ICAIT 2023: 226-233 - [i3]Weijie Ren, Wenjia Xie, Ye Zhang, Hang Yu, Zhengyu Tian:
Numerical stability analysis of shock-capturing methods for strong shocks I: second-order MUSCL schemes. CoRR abs/2305.03281 (2023) - [i2]Weijie Ren, Wenjia Xie, Ye Zhang, Hang Yu, Zhengyu Tian:
Numerical stability analysis of shock-capturing methods for strong shocks II: high-order finite-volume schemes. CoRR abs/2308.03428 (2023) - [i1]Weijie Ren, Wenjia Xie, Ye Zhang, Hang Yu, Zhengyu Tian:
MSAT: Matrix stability analysis tool for shock-capturing schemes. CoRR abs/2308.07564 (2023) - 2022
- [j21]Xinghan Xu, Weijie Ren:
A hybrid model of stacked autoencoder and modified particle swarm optimization for multivariate chaotic time series forecasting. Appl. Soft Comput. 116: 108321 (2022) - [j20]Junying Li, Weijie Ren, Min Han:
Mutual Information Variational Autoencoders and Its Application to Feature Extraction of Multivariate Time Series. Int. J. Pattern Recognit. Artif. Intell. 36(6): 2255005:1-2255005:23 (2022) - [j19]Weijie Ren, Satoshi Komada, Kazuhiro Yubai, Shenghui Guo:
Zonotopic interval estimation for discrete-time Takagi-Sugeno fuzzy systems with a delayed nonquadratic framework. J. Frankl. Inst. 359(8): 3883-3909 (2022) - [j18]Xiaodong Na, Min Han, Weijie Ren, Kai Zhong:
Modified BBO-Based Multivariate Time-Series Prediction System With Feature Subset Selection and Model Parameter Optimization. IEEE Trans. Cybern. 52(4): 2163-2173 (2022) - [j17]Shoubo Feng, Min Han, Jiadong Zhang, Tie Qiu, Weijie Ren:
Learning Both Dynamic-Shared and Dynamic-Specific Patterns for Chaotic Time-Series Prediction. IEEE Trans. Cybern. 52(6): 4115-4125 (2022) - [j16]Shenghui Guo, Weijie Ren, Choon Ki Ahn, Chenglin Wen, Hak-Keung Lam:
Reachability Analysis-Based Interval Estimation for Discrete-Time Takagi-Sugeno Fuzzy Systems. IEEE Trans. Fuzzy Syst. 30(6): 1981-1992 (2022) - 2021
- [j15]Wenjia Xie, Zhengyu Tian, Ye Zhang, Hang Yu, Weijie Ren:
Further studies on numerical instabilities of Godunov-type schemes for strong shocks. Comput. Math. Appl. 102: 65-86 (2021) - [j14]Chaochao Zhao, Weijie Ren, Min Han:
Adaptive Sparse Quantization Kernel Least Mean Square Algorithm for Online Prediction of Chaotic Time Series. Circuits Syst. Signal Process. 40(9): 4346-4369 (2021) - [j13]Xiaodong Na, Weijie Ren, Xinghan Xu:
Hierarchical delay-memory echo state network: A model designed for multi-step chaotic time series prediction. Eng. Appl. Artif. Intell. 102: 104229 (2021) - [j12]Weijie Ren, Yiwen Wang, Min Han:
Time series prediction based on echo state network tuned by divided adaptive multi-objective differential evolution algorithm. Soft Comput. 25(6): 4489-4502 (2021) - [c4]Weijie Ren, Satoshi Komada, Kazuhiro Yubai, Daisuke Yashiro:
Zonotopic Kalman Observer-based Sensor Fault Estimation for Discrete-Time Takagi-Sugeno Fuzzy Systems. AMC 2021: 1-5 - 2020
- [j11]Weijie Ren, Renyang You, Wei Yu, Shenghui Guo:
Reduced-Order and Full-Order Interval Observers Design for Discrete-Time System. IEEE Access 8: 103309-103316 (2020) - [j10]Tianyu Shen, Weijie Ren, Min Han:
Quantized generalized maximum correntropy criterion based kernel recursive least squares for online time series prediction. Eng. Appl. Artif. Intell. 95: 103797 (2020) - [c3]Xin Li, Weijie Ren, Jingying Zhao, Min Han:
Particle Swarm optimization based Neural Network Model for Chaotic Time Series Forecasting. ICACI 2020: 446-452
2010 – 2019
- 2019
- [j9]Xiaohui Lin, Chao Li, Weijie Ren, Xiao Luo, Yanpeng Qi:
A new feature selection method based on symmetrical uncertainty and interaction gain. Comput. Biol. Chem. 83 (2019) - [j8]Shoubo Feng, Weijie Ren, Min Han, Yen-Wei Chen:
Robust manifold broad learning system for large-scale noisy chaotic time series prediction: A perturbation perspective. Neural Networks 117: 179-190 (2019) - [j7]Weijie Ren, Min Han:
Classification of EEG Signals Using Hybrid Feature Extraction and Ensemble Extreme Learning Machine. Neural Process. Lett. 50(2): 1281-1301 (2019) - [j6]Xinghan Xu, Weijie Ren:
A Hybrid Model Based on a Two-Layer Decomposition Approach and an Optimized Neural Network for Chaotic Time Series Prediction. Symmetry 11(5): 610 (2019) - [j5]Xiaohui Lin, Xin Huang, Lina Zhou, Weijie Ren, Jun Zeng, Weihong Yao, Xingyuan Wang:
The Robust Classification Model Based on Combinatorial Features. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 650-657 (2019) - [j4]Min Han, Weijie Ren, Meiling Xu, Tie Qiu:
Nonuniform State Space Reconstruction for Multivariate Chaotic Time Series. IEEE Trans. Cybern. 49(5): 1885-1895 (2019) - [j3]Min Han, Ruiquan Zhang, Tie Qiu, Meiling Xu, Weijie Ren:
Multivariate Chaotic Time Series Prediction Based on Improved Grey Relational Analysis. IEEE Trans. Syst. Man Cybern. Syst. 49(10): 2144-2154 (2019) - [c2]Xinghan Xu, Weijie Ren:
A Combination Model Based on EEMD-PE and Echo State Network for Chaotic Time Series Prediction. ICACI 2019: 290-295 - 2016
- [c1]Xiaohui Lin, Huanhuan Song, Meng Fan, Weijie Ren, Lishuang Li, Weihong Yao:
The feature selection algorithm based on feature overlapping and group overlapping. BIBM 2016: 619-624 - 2015
- [j2]Min Han, Weijie Ren, Xiaoxin Liu:
Joint mutual information-based input variable selection for multivariate time series modeling. Eng. Appl. Artif. Intell. 37: 250-257 (2015) - [j1]Min Han, Weijie Ren:
Global mutual information-based feature selection approach using single-objective and multi-objective optimization. Neurocomputing 168: 47-54 (2015)
Coauthor Index
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