Zongying Liu

Orcid: 0000-0003-3658-3511

According to our database1, Zongying Liu authored at least 14 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Weighted error-output recurrent echo kernel state network for multi-step water level prediction.
Appl. Soft Comput., April, 2023

Maritime low-light image enhancement study based on improved ResUnet.
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.
Neurocomputing, 2022

Modeling Generalized Specialist Approach To Train Quality Resilient Snapshot Ensemble.
CoRR, 2022

Handling Concept Drift in Financial Time Series Data: Recurrent Xavier On-line Sequential Extreme Learning Machine.
Proceedings of the 2022 5th International Conference on Signal Processing and Machine Learning, 2022

Adaptive Resonance Theory-based Clustering for Handling Mixed Data.
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.
SN Comput. Sci., 2021

2020
Meta-cognitive recurrent kernel online sequential extreme learning machine with kernel adaptive filter for concept drift handling.
Eng. Appl. Artif. Intell., 2020

2019
Meta-cognitive Recurrent Recursive Kernel OS-ELM for concept drift handling.
Appl. Soft Comput., 2019

Grammatical Structure Detection with Intrinsic Plasticity based Echo State Networks for Cognitive Robot.
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.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
Recurrent Kernel Extreme Reservoir Machine for Time Series Prediction.
IEEE Access, 2018

Handling Concept Drift in Time-Series Data: Meta-cognitive Recurrent Recursive-Kernel OS-ELM.
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.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017


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