Liyong Zhang

Orcid: 0000-0002-6904-1391

According to our database1, Liyong Zhang authored at least 55 papers between 2006 and 2024.

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Bibliography

2024
Fuzzy neuron modeling of incomplete data for missing value imputation.
Inf. Sci., February, 2024

DALNet: A Rail Detection Network Based on Dynamic Anchor Line.
IEEE Trans. Instrum. Meas., 2024

2023
A hybrid-model optimization algorithm based on the Gaussian process and particle swarm optimization for mixed-variable CNN hyperparameter automatic search.
Frontiers Inf. Technol. Electron. Eng., November, 2023

A rule-based deep fuzzy system with nonlinear fuzzy feature transform for data classification.
Inf. Sci., July, 2023

A Conflict Early Warning Platform Based on Multidimensional Personnel Relationships and Event Association Model.
Proceedings of the Advances in Artificial Intelligence, Big Data and Algorithms - Proceedings of the 3rd International Conference on Artificial Intelligence, Big Data and Algorithms (CAIBDA 2023), 2023

2022
The Long-Term Prediction of Time Series: A Granular Computing-Based Design Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2022

ANNPDP: An Efficient and Stable Evaluation Engine for Large-Scale Policy Sets.
IEEE Trans. Serv. Comput., 2022

Improvement on PDP Evaluation Performance Based on Neural Networks and SGDK-means Algorithm.
Soft Comput., 2022

A multivariate time series segmentation algorithm for analyzing the operating statuses of tunnel boring machines.
Knowl. Based Syst., 2022

PR-FCM: A polynomial regression-based fuzzy C-means algorithm for attribute-associated data.
Inf. Sci., 2022

Image feature selection embedded distribution differences between classes for convolutional neural network.
Appl. Soft Comput., 2022

Online rescue method based on offline learning of dynamics knowledge for launch vehicles under thrust-drop fault.
Appl. Soft Comput., 2022

Multivariate Time Series Imputation Based on Residual GRU and AANN.
Proceedings of the ICCDA 2022: The 6th International Conference on Compute and Data Analysis, Virtual Event / Shanghai, China, February 25, 2022

2021
Attribute-Associated Neuron Modeling and Missing Value Imputation for Incomplete Data.
Wirel. Commun. Mob. Comput., 2021

Long-term prediction of time series using fuzzy cognitive maps.
Eng. Appl. Artif. Intell., 2021

Autoencoder-based multi-task learning for imputation and classification of incomplete data.
Appl. Soft Comput., 2021

Imbalanced-type Incomplete Data Fuzzy Modeling and Missing Value Imputations.
Proceedings of the ICMLSC '21: 2021 The 5th International Conference on Machine Learning and Soft Computing, 2021

Takagi-Sugeno Modeling for missing value imputations based on RReliefF Iterative Learning.
Proceedings of the ICCDA 2021: The 5th International Conference on Compute and Data Analysis, 2021

2020
Fast and Effective Learning for Fuzzy Cognitive Maps: A Method Based on Solving Constrained Convex Optimization Problems.
IEEE Trans. Fuzzy Syst., 2020

A fuzzy c-means algorithm based on the relationship among attributes of data and its application in tunnel boring machine.
Knowl. Based Syst., 2020

Clustering and supervised response for XACML policy evaluation and management.
Knowl. Based Syst., 2020

Takagi-Sugeno Modeling of Incomplete Data for Missing Value Imputation With the Use of Alternate Learning.
IEEE Access, 2020

Imputation of Incomplete Data Based on Attribute Cross Fitting Model and Iterative Missing Value Variables.
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020

2019
Granular Fuzzy Modeling for Multidimensional Numeric Data: A Layered Approach Based on Hyperbox.
IEEE Trans. Fuzzy Syst., 2019

A fuzzy c-means algorithm guided by attribute correlations and its application in the big data analysis of tunnel boring machine.
Knowl. Based Syst., 2019

Establishment of rule dictionary for efficient XACML policy management.
Knowl. Based Syst., 2019

The linguistic modeling of interval-valued time series: A perspective of granular computing.
Inf. Sci., 2019

Imputations of missing values using a tracking-removed autoencoder trained with incomplete data.
Neurocomputing, 2019

Imputation Using a Correlation-Enhanced Auto-Associative Neural Network with Dynamic Processing of Missing Values.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

A Hierarchical Missing Value Imputation Method by Correlation-Based K-Nearest Neighbors.
Proceedings of the Intelligent Systems and Applications, 2019

Missing Value Imputations by Rule-Based Incomplete Data Fuzzy Modeling.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018
Establishment of attribute bitmaps for efficient XACML policy evaluation.
Knowl. Based Syst., 2018

2017
Automatic Monitoring of continuous rigid frame Bridges by a magneto-elastic effect method.
Int. J. Robotics Autom., 2017

Interval kernel Fuzzy C-Means clustering of incomplete data.
Neurocomputing, 2017

Fuzzy C-Means clustering based on dual expression between cluster prototypes and reconstructed data.
Int. J. Approx. Reason., 2017

2016
Fuzzy C-Means clustering of incomplete data based on probabilistic information granules of missing values.
Knowl. Based Syst., 2016

A Global Clustering Approach Using Hybrid Optimization for Incomplete Data Based on Interval Reconstruction of Missing Value.
Int. J. Intell. Syst., 2016

The granular extension of Sugeno-type fuzzy models based on optimal allocation of information granularity and its application to forecasting of time series.
Appl. Soft Comput., 2016

2015
A hybrid clustering algorithm based on missing attribute interval estimation for incomplete data.
Pattern Anal. Appl., 2015

A Human-Computer Cooperation Fuzzy c-Means Clustering with Interval-Valued Weights.
Int. J. Intell. Syst., 2015

2014
An interval weighed fuzzy c-means clustering by genetically guided alternating optimization.
Expert Syst. Appl., 2014

2013
A hybrid genetic algorithm-fuzzy c-means approach for incomplete data clustering based on nearest-neighbor intervals.
Soft Comput., 2013

XML data exchange with target constraints.
Inf. Process. Manag., 2013

The Linguistic Forecasting of Time Series using Improved Fuzzy Cognitive Map.
Int. J. Comput. Intell. Appl., 2013

2012
Low complexity frequency domain decision feedback turbo equalization with optimized symbol mapping.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2012

2011
Repairing XML functional dependency violations.
Inf. Sci., 2011

Improving XML Data Quality with Functional Dependencies.
Proceedings of the Database Systems for Advanced Applications, 2011

2010
A fuzzy c-means clustering algorithm based on nearest-neighbor intervals for incomplete data.
Expert Syst. Appl., 2010

A Proactive Approach to Load Balancing of Workflow Execution in a SaaS Environment.
Proceedings of the Fifth IEEE International Symposium on Service-Oriented System Engineering, 2010

Fuzzy c-means clustering of partially missing data sets based on statistical representation.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

2009
An Integrating Data Mining Algorithm in Mobile Target Vectoring Based on Kalman Filter.
Proceedings of the First IITA International Joint Conference on Artificial Intelligence, 2009

Collaborative Optimization of Clustering by Fuzzy c-means and Weight Determination by ReliefF.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

2007
Leveraging Legacy Workflow Capabilities in a Grid Environment.
Proceedings of the Grid and Cooperative Computing, 2007

2006
Client-Centric Adaptive Scheduling of Service-Oriented Applications.
J. Comput. Sci. Technol., 2006

Task-Role-Based Access Control in Application on MIS.
Proceedings of The 1st IEEE Asia-Pacific Services Computing Conference, 2006


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