Zongying Liu

According to our database, Zongying Liu authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Weighted error-output recurrent Xavier echo state network for concept drift handling in water level prediction.

Zongying Liu, Wenru Zhang, Mingyang Pan, Chu Kiong Loo, Kitsuchart Pasupa

Appl. Soft Comput., 2024

2023

Weighted error-output recurrent echo kernel state network for multi-step water level prediction.

Zongying Liu, Xiao Han Xu, Mingyang Pan, Chu Kiong Loo, Shaoxi Li

Appl. Soft Comput., April, 2023

Maritime low-light image enhancement study based on improved ResUnet.

Jingyang Wang, Mingyang Pan, Ruolan Zhang, Zongying Liu, Shaoxi Li

Proceedings of the 6th International Conference on Signal Processing and Machine Learning, 2023

2022

Grammatical structure detection by Instinct Plasticity based Echo State Networks with Genetic Algorithm.

Zongying Liu, Shaoxi Li, Mingyang Pan, Chu Kiong Loo

Neurocomputing, 2022

Modeling Generalized Specialist Approach To Train Quality Resilient Snapshot Ensemble.

Ghalib Ahmed Tahir, Chu Kiong Loo, Zongying Liu

CoRR, 2022

Handling Concept Drift in Financial Time Series Data: Recurrent Xavier On-line Sequential Extreme Learning Machine.

Zongying Liu, Wenru Zhang, Hui Sun, Shaoxi Li, Hangqi Li

Proceedings of the 2022 5th International Conference on Signal Processing and Machine Learning, 2022

Adaptive Resonance Theory-based Clustering for Handling Mixed Data.

Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi, Zongying Liu

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Prediction of Child Birth Weight Using Kernel Extreme Reservoir Machine and QPSO for Optimization.

Ghalib Ahmed Tahir, Tooba Samad, Zongying Liu, Sundus Abrar, Ashraf Murtaza, Hammad Qureshi

SN Comput. Sci., 2021

2020

Meta-cognitive recurrent kernel online sequential extreme learning machine with kernel adaptive filter for concept drift handling.

Zongying Liu, Chu Kiong Loo, Kitsuchart Pasupa, Manjeevan Seera

Eng. Appl. Artif. Intell., 2020

2019

Meta-cognitive Recurrent Recursive Kernel OS-ELM for concept drift handling.

Zongying Liu, Chu Kiong Loo, Manjeevan Seera

Appl. Soft Comput., 2019

Grammatical Structure Detection with Intrinsic Plasticity based Echo State Networks for Cognitive Robot.

Zongying Liu, Chu Kiong Loo, Min Jiang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Real-Time Financial Data Prediction Using Meta-cognitive Recurrent Kernel Online Sequential Extreme Learning Machine.

Zongying Liu, Chu Kiong Loo, Kitsuchart Pasupa

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Recurrent Kernel Extreme Reservoir Machine for Time Series Prediction.

Zongying Liu, Chu Kiong Loo, Naoki Masuyama, Kitsuchart Pasupa

IEEE Access, 2018

Handling Concept Drift in Time-Series Data: Meta-cognitive Recurrent Recursive-Kernel OS-ELM.

Zongying Liu, Chu Kiong Loo, Kitsuchart Pasupa

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Recurrent kernel online sequential extreme learning machine with kernel adaptive filter for time series prediction.

Zongying Liu, Chu Kiong Loo, Kitsuchart Pasupa

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017