发表论文
代表性论文：
[12] W. Ren, D. Ma, M. Han*. Multivariate Time Series Predictor With Parameter Optimization and Feature Selection Based on Modified Binary Salp Swarm Algorithm. IEEE Transactions on Industrial Informatics, 2023, 19(4): 6150-6159.
[11] P. Li, Y. Fan, Z. Cai, Z. Lyu, W. Ren*. Detection Method of Marine Biological Objects Based on Image Enhancement and Improved YOLOv5S. Journal of Marine Science and Engineering, 2022, 10(10): 1503.
[10] 任伟杰, 韩敏*. 多元时间序列因果关系分析研究综述. 自动化学报, 2021, 47(1): 64-78.
[9] W. Ren, Y. Wang, M. Han*. Time series prediction based on echo state network tuned by divided adaptive multi-objective differential evolution algorithm. Soft Computing, 2021, 25(6): 4489-4502.
[8] C. Zhao, W. Ren, M. Han*. Adaptive Sparse Quantization Kernel Least Mean Square Algorithm for Online Prediction of Chaotic Time Series. Circuits, Systems, and Signal Processing, 2021, 40: 4346-4369.
[7] W. Ren, B. Li, M. Han*. A novel Granger causality method based on HSIC-Lasso for revealing nonlinear relationship between multivariate time series. Physica A: Statistical Mechanics and its Applications, 2020, 541: 123245.
[6] T. Shen, W. Ren, M. Han*. Quantized generalized maximum correntropy criterion based kernel recursive least squares for online time series prediction. Engineering Applications of Artificial Intelligence, 2020, 95: 103797.
[5] M. Han*, W. Ren, M. Xu, T. Qiu. Nonuniform state space reconstruction for multivariate chaotic time series. IEEE Transactions on Cybernetics, 2019, 49(5): 1885-1895.
[4] W. Ren, M. Han*. Classification of EEG signals using hybrid feature extraction and ensemble extreme learning machine. Neural Processing Letters, 2019, 50(2): 1281-1301.
[3] S. Feng, W. Ren, M. Han*, Y.-W. Chen. Robust manifold broad learning system for large-scale noisy chaotic time series prediction: A perturbation perspective. Neural Networks, 2019, 117: 179-190.
[2] M. Han*, W. Ren, X. Liu. Joint mutual information-based input variable selection for multivariate time series modeling. Engineering Applications of Artificial Intelligence, 2015, 37: 250-257.
[1] M. Han*, W. Ren. Global mutual information-based feature selection approach using single-objective and multi-objective optimization. Neurocomputing, 2015, 168: 47-54.
