Hengrong Ju

Orcid: 0000-0001-9894-9844

According to our database1, Hengrong Ju authored at least 43 papers between 2014 and 2025.

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Bibliography

2025
Hyperspectral image classification using feature fusion fuzzy graph broad network.
Inf. Sci., 2025

D3WC: Deep three-way clustering with granular evidence fusion.
Inf. Fusion, 2025

2024
Dual-Channel Fuzzy Interaction Information Fused Feature Selection With Fuzzy Sparse and Shared Granularities.
IEEE Trans. Fuzzy Syst., November, 2024

ViTH-RFG: Vision Transformer Hashing With Residual Fuzzy Generation for Targeted Attack in Medical Image Retrieval.
IEEE Trans. Fuzzy Syst., October, 2024

Cascaded Two-Stage Feature Clustering and Selection via Separability and Consistency in Fuzzy Decision Systems.
IEEE Trans. Fuzzy Syst., September, 2024

BiFuG2-Spark: Bi-Directional Fuzzy Granular-Cabin Parallel Attribute Reduction Accelerator With Granular-Group Collaboration.
IEEE Trans. Fuzzy Syst., August, 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

Multi-association evidential feature selection and its application to identifying schizophrenia.
Inf. Sci., 2024

A distributed attribute reduction based on neighborhood evidential conflict with Apache Spark.
Inf. Sci., 2024

M2EF-NNs: Multimodal Multi-instance Evidence Fusion Neural Networks for Cancer Survival Prediction.
CoRR, 2024

Three-way evidence theory-based density peak clustering with the principle of justifiable granularity.
Appl. Soft Comput., 2024

Pheromone-guided parallel rough hypercuboid attribute reduction algorithm.
Appl. Soft Comput., 2024

ELSNC: A semi-supervised community detection method with integration of embedding-enhanced links and node content in attributed networks.
Appl. Soft Comput., 2024

MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification.
Artif. Intell. Medicine, 2024

GNMFO_TW: Graph Regularized Non-negative Matrix Factorization for Overlapping Community Discovery by Using Three-Way.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 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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