Hongyue Guo

Orcid: 0000-0003-1454-4087

According to our database1, Hongyue Guo authored at least 20 papers between 2016 and 2024.

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Bibliography

2024
Time-frequency domain based optimization of hedging strategy: Evidence from CSI 500 spot and futures.
Expert Syst. Appl., March, 2024

Weighted Fuzzy Clustering for Time Series With Trend-Based Information Granulation.
IEEE Trans. Cybern., February, 2024

2023
Hidden Markov model-based modeling and prediction for implied volatility surface1.
J. Intell. Fuzzy Syst., December, 2023

A dynamic programming-based data-adaptive information granulation approach and its distributed implementation.
Appl. Intell., October, 2023

A hybrid method of time series forecasting based on information granulation and dynamic selection strategy.
J. Intell. Fuzzy Syst., 2023

2022
Top-Down Granulation Modeling Based on the Principle of Justifiable Granularity.
IEEE Trans. Fuzzy Syst., 2022

Hierarchical Axiomatic Fuzzy Set Granulation for Financial Time Series Clustering.
IEEE Trans. Fuzzy Syst., 2022

Trend-Based Granular Representation of Time Series and its Application in Clustering.
IEEE Trans. Cybern., 2022

Information granulation-based fuzzy partition in decision tree induction.
Inf. Sci., 2022

Time series granulation-based multivariate modelling and prediction.
Int. J. Comput. Sci. Math., 2022

Rule-based models via the axiomatic fuzzy set clustering and their granular aggregation.
Appl. Soft Comput., 2022

2021
Information Granulation-Based Fuzzy Clustering of Time Series.
IEEE Trans. Cybern., 2021

Granular rule-based modeling using the principle of justifiable granularity and boundary erosion clustering.
Soft Comput., 2021

2019
Fuzzy time series forecasting based on axiomatic fuzzy set theory.
Neural Comput. Appl., 2019

Dynamic time alignment kernel-based fuzzy clustering of non-equal length vector time series.
Int. J. Mach. Learn. Cybern., 2019

2018
Knowledge discovery and semantic learning in the framework of axiomatic fuzzy set theory.
WIREs Data Mining Knowl. Discov., 2018

Hidden Markov Models Based Approaches to Long-Term Prediction for Granular Time Series.
IEEE Trans. Fuzzy Syst., 2018

2017
Fuzzy time series forecasting based on information granule and neural network.
Int. J. Comput. Sci. Eng., 2017

A New Data Preprocessing Technique Based on Feature Extraction and Clustering for Complex Discrete Temperature Data.
Proceedings of the 2017 International Conference on Identification, 2017

2016
A method for constructing the Composite Indicator of business cycles based on information granulation and Dynamic Time Warping.
Knowl. Based Syst., 2016


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