Hengrong Ju

According to our database1, Hengrong Ju authored at least 29 papers between 2014 and 2024.

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Bibliography

2024
A Novel Spark-Based Attribute Reduction and Neighborhood Classification for Rough Evidence.
IEEE Trans. Cybern., March, 2024

Sparse Mutual Granularity-Based Feature Selection and its Application of Schizophrenia Patients.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

RCAR-UNet: Retinal vessel segmentation network algorithm via novel rough attention mechanism.
Inf. Sci., February, 2024

2023
FTransCNN: Fusing Transformer and a CNN based on fuzzy logic for uncertain medical image segmentation.
Inf. Fusion, November, 2023

Feature selection in threes: Neighborhood relevancy, redundancy, and granularity interactivity.
Appl. Soft Comput., October, 2023

Bi-directional adaptive neighborhood rough sets based attribute subset selection.
Int. J. Approx. Reason., September, 2023

Multi-label learning with Relief-based label-specific feature selection.
Appl. Intell., August, 2023

A Q-learning approach to attribute reduction.
Appl. Intell., February, 2023

SD-CNN: A static-dynamic convolutional neural network for functional brain networks.
Medical Image Anal., 2023

Brain Age Prediction Based on Resting-State Functional MRI Using Similarity Metric Convolutional Neural Network.
IEEE Access, 2023

2022
Triple-G: a new MGRS and attribute reduction.
Int. J. Mach. Learn. Cybern., 2022

Attribute reduction with personalized information granularity of nearest mutual neighbors.
Inf. Sci., 2022

Parallel incremental efficient attribute reduction algorithm based on attribute tree.
Inf. Sci., 2022

Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization.
Int. J. Approx. Reason., 2022

RG-GCN: Improved Graph Convolution Neural Network Algorithm Based on Rough Graph.
IEEE Access, 2022

2021
An improved D-S evidence theory based neighborhood rough classification approach.
J. Intell. Fuzzy Syst., 2021

Robust supervised rough granular description model with the principle of justifiable granularity.
Appl. Soft Comput., 2021

2020
Label distribution learning: A local collaborative mechanism.
Int. J. Approx. Reason., 2020

Decision-Theoretic Rough Set: A Fusion Strategy.
IEEE Access, 2020

Multiple Lesions Detection of Fundus Images Based on Convolution Neural Network Algorithm With Improved SFLA.
IEEE Access, 2020

2019
Sequential three-way classifier with justifiable granularity.
Knowl. Based Syst., 2019

Combining similarity and divergence measures for intuitionistic fuzzy information clustering.
J. Intell. Fuzzy Syst., 2019

2017
Cost-sensitive rough set: A multi-granulation approach.
Knowl. Based Syst., 2017

基于Local约简的序贯三支分类器 (Sequential Three-way Classifier with Local Reduction).
计算机科学, 2017

2016
Cost-sensitive rough set approach.
Inf. Sci., 2016

2015
量化粗糙集的单调性属性约简方法 (Approach to Monotonicity Attribute Reduction in Quantitative Rough Set).
计算机科学, 2015

A Moderate Attribute Reduction Approach in Decision-Theoretic Rough Set.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

2014
Variable Precision Multigranulation Rough Set and Attributes Reduction.
Trans. Rough Sets, 2014

Dynamic updating multigranulation fuzzy rough set: approximations and reducts.
Int. J. Mach. Learn. Cybern., 2014


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