Hengrong Ju

According to our database, Hengrong Ju authored at least 45 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Dynamic evidence fusion neural networks with uncertainty theory and its application in brain network analysis.

Weiping Ding, Tao Hou, Jiashuang Huang, Hengrong Ju, Shu Jiang

Inf. Sci., 2025

Hyperspectral image classification using feature fusion fuzzy graph broad network.

Yonghe Chu, Jun Cao, Weiping Ding, Jiashuang Huang, Hengrong Ju, Heling Cao, Guangen Liu

Inf. Sci., 2025

D3WC: Deep three-way clustering with granular evidence fusion.

Hengrong Ju, Jing Guo, Weiping Ding, Xibei Yang

Inf. Fusion, 2025

2024

C2F-Explainer: Explaining Transformers Better Through a Coarse-to-Fine Strategy.

Weiping Ding, Xiaotian Cheng, Yu Geng, Jiashuang Huang, Hengrong Ju

IEEE Trans. Knowl. Data Eng., December, 2024

Dual-Channel Fuzzy Interaction Information Fused Feature Selection With Fuzzy Sparse and Shared Granularities.

Hengrong Ju, Xiaoxue Fan, Weiping Ding, Jiashuang Huang, Suping Xu, Xibei Yang, Witold Pedrycz

IEEE Trans. Fuzzy Syst., November, 2024

ViTH-RFG: Vision Transformer Hashing With Residual Fuzzy Generation for Targeted Attack in Medical Image Retrieval.

Weiping Ding, Chuansheng Liu, Jiashuang Huang, Chun Cheng, Hengrong Ju

IEEE Trans. Fuzzy Syst., October, 2024

Cascaded Two-Stage Feature Clustering and Selection via Separability and Consistency in Fuzzy Decision Systems.

Yuepeng Chen, Weiping Ding, Hengrong Ju, Jiashuang Huang, Tao Yin

IEEE Trans. Fuzzy Syst., September, 2024

BiFuG2-Spark: Bi-Directional Fuzzy Granular-Cabin Parallel Attribute Reduction Accelerator With Granular-Group Collaboration.

Hengrong Ju, Tingting Shan, Weiping Ding, Keyu Liu, Muhammad Jabir Khan, Jiashuang Huang, Xibei Yang

IEEE Trans. Fuzzy Syst., August, 2024

A Novel Spark-Based Attribute Reduction and Neighborhood Classification for Rough Evidence.

Weiping Ding, Ying Sun, Ming Li, Jun Liu, Hengrong Ju, Jiashuang Huang, Chin-Teng Lin

IEEE Trans. Cybern., March, 2024

Sparse Mutual Granularity-Based Feature Selection and its Application of Schizophrenia Patients.

Hengrong Ju, Tao Yin, Jiashuang Huang, Weiping Ding, Xibei Yang

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

RCAR-UNet: Retinal vessel segmentation network algorithm via novel rough attention mechanism.

Weiping Ding, Ying Sun, Jiashuang Huang, Hengrong Ju, Chongsheng Zhang, Guang Yang, Chin-Teng Lin

Inf. Sci., February, 2024

Multi-association evidential feature selection and its application to identifying schizophrenia.

Hengrong Ju, Xiaoxue Fan, Weiping Ding, Jiashuang Huang, Witold Pedrycz, Xibei Yang

Inf. Sci., 2024

A distributed attribute reduction based on neighborhood evidential conflict with Apache Spark.

Yuepeng Chen, Weiping Ding, Hengrong Ju, Jiashuang Huang, Tao Yin

Inf. Sci., 2024

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

Hui Luo, Jiashuang Huang, Hengrong Ju, Tianyi Zhou, Weiping Ding

CoRR, 2024

Three-way evidence theory-based density peak clustering with the principle of justifiable granularity.

Hengrong Ju, Yang Lu, Weiping Ding, Jinxin Cao, Xibei Yang

Appl. Soft Comput., 2024

Pheromone-guided parallel rough hypercuboid attribute reduction algorithm.

Weiping Ding, Hongcheng Yao, Hengrong Ju, Jiashuang Huang, Shu Jiang, Yuepeng Chen

Appl. Soft Comput., 2024

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

Jinxin Cao, Xiaoyang Zou, Weizhong Xu, Weiping Ding, Hengrong Ju, Lu Liu, Fuxiang Chen, Di Jin

Appl. Soft Comput., 2024

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

Jiashuang Huang, Xiaoyu Qi, Xueyun Cheng, Mingliang Wang, Hengrong Ju, Weiping Ding, Daoqiang Zhang

Artif. Intell. Medicine, 2024

GNMFO_TW: Graph Regularized Non-negative Matrix Factorization for Overlapping Community Discovery by Using Three-Way.

Xiaoyang Zou, Jinxin Cao, Hengrong Ju, Weiping Ding, Di Jin

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.

Weiping Ding, Haipeng Wang, Jiashuang Huang, Hengrong Ju, Yu Geng, Chin-Teng Lin, Witold Pedrycz

Inf. Fusion, November, 2023

Feature selection in threes: Neighborhood relevancy, redundancy, and granularity interactivity.

Keyu Liu, Tianrui Li, Xibei Yang, Hengrong Ju, Xin Yang, Dun Liu

Appl. Soft Comput., October, 2023

Bi-directional adaptive neighborhood rough sets based attribute subset selection.

Hengrong Ju, Weiping Ding, Xibei Yang, Pingping Gu

Int. J. Approx. Reason., September, 2023

Multi-label learning with Relief-based label-specific feature selection.

Jiadong Zhang, Keyu Liu, Xibei Yang, Hengrong Ju, Suping Xu

Appl. Intell., August, 2023

A Q-learning approach to attribute reduction.

Yuxin Liu, Zhice Gong, Keyu Liu, Suping Xu, Hengrong Ju, Xibei Yang

Appl. Intell., February, 2023

SD-CNN: A static-dynamic convolutional neural network for functional brain networks.

Jiashuang Huang, Mingliang Wang, Hengrong Ju, Zhen-Quan Shi, Weiping Ding, Daoqiang Zhang

Medical Image Anal., 2023

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

Weiping Ding, Xinjie Shen, Jiashuang Huang, Hengrong Ju, Yuepeng Chen, Tao Yin

IEEE Access, 2023

2022

Triple-G: a new MGRS and attribute reduction.

Jing Ba, Keyu Liu, Hengrong Ju, Suping Xu, Taihua Xu, Xibei Yang

Int. J. Mach. Learn. Cybern., 2022

Attribute reduction with personalized information granularity of nearest mutual neighbors.

Hengrong Ju, Weiping Ding, Zhen-Quan Shi, Jiashuang Huang, Jie Yang, Xibei Yang

Inf. Sci., 2022

Parallel incremental efficient attribute reduction algorithm based on attribute tree.

Weiping Ding, Tingzhen Qin, Xinjie Shen, Hengrong Ju, Haipeng Wang, Jiashuang Huang, Ming Li

Inf. Sci., 2022

Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization.

Keyu Liu, Tianrui Li, Xibei Yang, Hengrong Ju, Xin Yang, Dun Liu

Int. J. Approx. Reason., 2022

RG-GCN: Improved Graph Convolution Neural Network Algorithm Based on Rough Graph.

Weiping Ding, Bairu Pan, Hengrong Ju, Jiashuang Huang, Chun Cheng, Xinjie Shen, Yu Geng, Tao Hou

IEEE Access, 2022

2021

An improved D-S evidence theory based neighborhood rough classification approach.

Tao Yin, Xiaojuan Mao, Xingtan Wu, Hengrong Ju, Weiping Ding, Xibei Yang

J. Intell. Fuzzy Syst., 2021

Robust supervised rough granular description model with the principle of justifiable granularity.

Hengrong Ju, Weiping Ding, Xibei Yang, Hamido Fujita, Suping Xu

Appl. Soft Comput., 2021

2020

Label distribution learning: A local collaborative mechanism.

Suping Xu, Hengrong Ju, Lin Shang, Witold Pedrycz, Xibei Yang, Chun Li

Int. J. Approx. Reason., 2020

Decision-Theoretic Rough Set: A Fusion Strategy.

Tao Yin, Xiaojuan Mao, Ying Zhang, Yiting Ma, Hengrong Ju, Weiping Ding

IEEE Access, 2020

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

Weiping Ding, Ying Sun, Longjie Ren, Hengrong Ju, Zhihao Feng, Ming Li

IEEE Access, 2020

2019

Sequential three-way classifier with justifiable granularity.

Hengrong Ju, Witold Pedrycz, Huaxiong Li, Weiping Ding, Xibei Yang, Xianzhong Zhou

Knowl. Based Syst., 2019

Combining similarity and divergence measures for intuitionistic fuzzy information clustering.

Jiubing Liu, Xianzhong Zhou, Bing Huang, Huaxiong Li, Hengrong Ju

J. Intell. Fuzzy Syst., 2019

2017

Cost-sensitive rough set: A multi-granulation approach.

Hengrong Ju, Huaxiong Li, Xibei Yang, Xianzhong Zhou, Bing Huang

Knowl. Based Syst., 2017

基于Local约简的序贯三支分类器 (Sequential Three-way Classifier with Local Reduction).

Hengrong Ju, Huaxiong Li, Xianzhong Zhou, Bing Huang, Xibei Yang

计算机科学, 2017

2016

Cost-sensitive rough set approach.

Hengrong Ju, Xibei Yang, Hualong Yu, Tongjun Li, Dong-Jun Yu, Jingyu Yang

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).

Hengrong Ju, Xibei Yang, Yong Qi, Jingyu Yang

计算机科学, 2015

A Moderate Attribute Reduction Approach in Decision-Theoretic Rough Set.

Hengrong Ju, Xibei Yang, Pei Yang, Huaxiong Li, Xianzhong Zhou

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

2014

Variable Precision Multigranulation Rough Set and Attributes Reduction.

Hengrong Ju, Xibei Yang, Huili Dou, Jingjing Song

Trans. Rough Sets, 2014

Dynamic updating multigranulation fuzzy rough set: approximations and reducts.

Hengrong Ju, Xibei Yang, Xiaoning Song, Yunsong Qi

Int. J. Mach. Learn. Cybern., 2014