Journal papers

Li, Z., Liu, Y., & Tanaka, G. (2023). Multi-Reservoir Echo State Networks with Hodrick–Prescott Filter for nonlinear time-series prediction. Applied Soft Computing, 110021.

Z. Li and G. Tanaka. "Multi-reservoir echo state networks with sequence resampling for nonlinear time-series prediction." Neurocomputing 467 (2022): 115-129.

Z. Li, X. Cai, Y. Liu, and B. Zhu. "A novel gaussian–bernoulli based convolutional deep belief networks for image feature extraction." Neural Processing Letters 49, no. 1 (2019): 305-319.

Z. Li, K. Fujiwara, and G. Tanaka. "An Echo State Network-Based Method for Identity Recognition with Continuous Blood Pressure Data." In International Conference on Artificial Neural Networks (pp. 13-25). Springer, Cham, 2023.

Z. Li and G. Tanaka. "A Multi-Reservoir Echo State Network with Multiple Size Input Time Slices for Nonlinear Time Series Prediction." In International Conference on Neural Information Processing (pp. 28-39). Springer, Cham, 2021.

Z. Li and G. Tanaka. "Deep Echo State Networks with Multi-Span Features for Nonlinear Time Series Prediction." In 2020 International Joint Conference on Neural Networks (IJCNN), pp. 1-9. IEEE, 2020.

Z. Li and G. Tanaka. "HP-ESN: Echo State Networks Combined with Hodrick-Prescott Filter for Nonlinear Time-Series Prediction." In 2020 International Joint Conference on Neural Networks (IJCNN), pp. 1-9. IEEE, 2020.

Z. Li, X. Cai, and T. Liang. "Gaussian-Bernoulli Based Convolutional Restricted Boltzmann Machine for Images Feature Extraction." In International Conference on Neural Information Processing, pp. 593-602. Springer, Cham, 2016.