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Hengrong Ju
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2020 – today
- 2025
- [j49]Tao Hou, Weiping Ding, Jiashuang Huang, Shu Jiang, Hongcheng Yao, Tianyi Zhou, Hengrong Ju:
Quality-aware fuzzy min-max neural networks for dynamic brain network analysis and its application to schizophrenia identification. Appl. Soft Comput. 169: 112538 (2025) - [j48]Tao Yin, Weiping Ding, Hengrong Ju, Jiashuang Huang, Yuepeng Chen:
The fuzzy hypergraph neural network model based on sparse k-nearest neighborhood granule. Appl. Soft Comput. 170: 112721 (2025) - [j47]Yonghe Chu, Jun Cao, Jiashuang Huang, Hengrong Ju, Guangen Liu, Heling Cao, Weiping Ding:
Global-local graph convolutional broad network for hyperspectral image classification. Appl. Soft Comput. 170: 112723 (2025) - [j46]Jiashuang Huang, Mingliang Wang, Hengrong Ju, Weiping Ding, Daoqiang Zhang:
AGBN-Transformer: Anatomy-guided brain network transformer for schizophrenia diagnosis. Biomed. Signal Process. Control. 102: 107226 (2025) - [j45]Yonghe Chu, Jun Cao, Weiping Ding, Jiashuang Huang, Hengrong Ju, Heling Cao:
FDBFN: Fuzzy discriminative broad fusion network for hyperspectral image classification. Expert Syst. Appl. 266: 126026 (2025) - [j44]Hengrong Ju, Jing Guo, Weiping Ding, Xibei Yang:
D3WC: Deep three-way clustering with granular evidence fusion. Inf. Fusion 114: 102699 (2025) - [j43]Yonghe Chu, Jun Cao, Weiping Ding, Jiashuang Huang, Hengrong Ju, Heling Cao, Guangen Liu:
Hyperspectral image classification using feature fusion fuzzy graph broad network. Inf. Sci. 689: 121504 (2025) - [j42]Weiping Ding, Tao Hou, Jiashuang Huang, Hengrong Ju, Shu Jiang:
Dynamic evidence fusion neural networks with uncertainty theory and its application in brain network analysis. Inf. Sci. 691: 121622 (2025) - [j41]Hengrong Ju, Jiarong Li, Weiping Ding, Xiaoxue Fan, Jiashuang Huang, Suping Xu, Xibei Yang:
Class-specific semi-supervised feature selection with fuzzy convex balling information granularity. Inf. Sci. 700: 121821 (2025) - [j40]Weiping Ding, Yu Geng, Jiashuang Huang, Hengrong Ju, Haipeng Wang, Chin-Teng Lin:
MGRW-Transformer: Multigranularity Random Walk Transformer Model for Interpretable Learning. IEEE Trans. Neural Networks Learn. Syst. 36(1): 1104-1118 (2025) - 2024
- [j39]Jiashuang Huang, Xiaoyu Qi, Xueyun Cheng, Mingliang Wang, Hengrong Ju, Weiping Ding, Daoqiang Zhang:
MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification. Artif. Intell. Medicine 157: 102990 (2024) - [j38]Hengrong Ju, Yang Lu, Weiping Ding, Jinxin Cao, Xibei Yang:
Three-way evidence theory-based density peak clustering with the principle of justifiable granularity. Appl. Soft Comput. 152: 111217 (2024) - [j37]Weiping Ding, Hongcheng Yao, Hengrong Ju, Jiashuang Huang, Shu Jiang, Yuepeng Chen:
Pheromone-guided parallel rough hypercuboid attribute reduction algorithm. Appl. Soft Comput. 156: 111479 (2024) - [j36]Jinxin Cao, Xiaoyang Zou, Weizhong Xu, Weiping Ding, Hengrong Ju, Lu Liu, Fuxiang Chen, Di Jin:
ELSNC: A semi-supervised community detection method with integration of embedding-enhanced links and node content in attributed networks. Appl. Soft Comput. 167: 112250 (2024) - [j35]Weiping Ding, Ying Sun, Jiashuang Huang, Hengrong Ju, Chongsheng Zhang, Guang Yang, Chin-Teng Lin:
RCAR-UNet: Retinal vessel segmentation network algorithm via novel rough attention mechanism. Inf. Sci. 657: 120007 (2024) - [j34]Yuepeng Chen, Weiping Ding, Hengrong Ju, Jiashuang Huang, Tao Yin:
A distributed attribute reduction based on neighborhood evidential conflict with Apache Spark. Inf. Sci. 668: 120521 (2024) - [j33]Hengrong Ju, Xiaoxue Fan, Weiping Ding, Jiashuang Huang, Witold Pedrycz, Xibei Yang:
Multi-association evidential feature selection and its application to identifying schizophrenia. Inf. Sci. 674: 120647 (2024) - [j32]Weiping Ding, Ying Sun, Ming Li, Jun Liu, Hengrong Ju, Jiashuang Huang, Chin-Teng Lin:
A Novel Spark-Based Attribute Reduction and Neighborhood Classification for Rough Evidence. IEEE Trans. Cybern. 54(3): 1470-1483 (2024) - [j31]Hengrong Ju, Tao Yin, Jiashuang Huang, Weiping Ding, Xibei Yang:
Sparse Mutual Granularity-Based Feature Selection and its Application of Schizophrenia Patients. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 604-614 (2024) - [j30]Hengrong Ju, Tingting Shan, Weiping Ding, Keyu Liu, Muhammad Jabir Khan, Jiashuang Huang, Xibei Yang:
BiFuG2-Spark: Bi-Directional Fuzzy Granular-Cabin Parallel Attribute Reduction Accelerator With Granular-Group Collaboration. IEEE Trans. Fuzzy Syst. 32(8): 4234-4247 (2024) - [j29]Yuepeng Chen, Weiping Ding, Hengrong Ju, Jiashuang Huang, Tao Yin:
Cascaded Two-Stage Feature Clustering and Selection via Separability and Consistency in Fuzzy Decision Systems. IEEE Trans. Fuzzy Syst. 32(9): 5320-5333 (2024) - [j28]Weiping Ding, Chuansheng Liu, Jiashuang Huang, Chun Cheng, Hengrong Ju:
ViTH-RFG: Vision Transformer Hashing With Residual Fuzzy Generation for Targeted Attack in Medical Image Retrieval. IEEE Trans. Fuzzy Syst. 32(10): 5571-5584 (2024) - [j27]Hengrong Ju, Xiaoxue Fan, Weiping Ding, Jiashuang Huang, Suping Xu, Xibei Yang, Witold Pedrycz:
Dual-Channel Fuzzy Interaction Information Fused Feature Selection With Fuzzy Sparse and Shared Granularities. IEEE Trans. Fuzzy Syst. 32(11): 6056-6068 (2024) - [j26]Weiping Ding, Xiaotian Cheng, Yu Geng, Jiashuang Huang, Hengrong Ju:
C2F-Explainer: Explaining Transformers Better Through a Coarse-to-Fine Strategy. IEEE Trans. Knowl. Data Eng. 36(12): 7708-7724 (2024) - [c2]Xiaoyang Zou, Jinxin Cao, Hengrong Ju, Weiping Ding, Di Jin:
GNMFO_TW: Graph Regularized Non-negative Matrix Factorization for Overlapping Community Discovery by Using Three-Way. ICIC (12) 2024: 388-398 - [i2]Yuepeng Chen, Weiping Ding, Hengrong Ju, Jiashuang Huang, Tao Yin:
Cascaded two-stage feature clustering and selection via separability and consistency in fuzzy decision systems. CoRR abs/2407.15893 (2024) - [i1]Hui Luo, Jiashuang Huang, Hengrong Ju, Tianyi Zhou, Weiping Ding:
M2EF-NNs: Multimodal Multi-instance Evidence Fusion Neural Networks for Cancer Survival Prediction. CoRR abs/2408.04170 (2024) - 2023
- [j25]Weiping Ding, Xinjie Shen, Jiashuang Huang, Hengrong Ju, Yuepeng Chen, Tao Yin:
Brain Age Prediction Based on Resting-State Functional MRI Using Similarity Metric Convolutional Neural Network. IEEE Access 11: 57071-57082 (2023) - [j24]Yuxin Liu, Zhice Gong, Keyu Liu, Suping Xu, Hengrong Ju, Xibei Yang:
A Q-learning approach to attribute reduction. Appl. Intell. 53(4): 3750-3765 (2023) - [j23]Jiadong Zhang, Keyu Liu, Xibei Yang, Hengrong Ju, Suping Xu:
Multi-label learning with Relief-based label-specific feature selection. Appl. Intell. 53(15): 18517-18530 (2023) - [j22]Keyu Liu, Tianrui Li, Xibei Yang, Hengrong Ju, Xin Yang, Dun Liu:
Feature selection in threes: Neighborhood relevancy, redundancy, and granularity interactivity. Appl. Soft Comput. 146: 110679 (2023) - [j21]Hengrong Ju, Weiping Ding, Xibei Yang, Pingping Gu:
Bi-directional adaptive neighborhood rough sets based attribute subset selection. Int. J. Approx. Reason. 160: 108966 (2023) - [j20]Weiping Ding, Haipeng Wang, Jiashuang Huang, Hengrong Ju, Yu Geng, Chin-Teng Lin, Witold Pedrycz:
FTransCNN: Fusing Transformer and a CNN based on fuzzy logic for uncertain medical image segmentation. Inf. Fusion 99: 101880 (2023) - [j19]Jiashuang Huang, Mingliang Wang, Hengrong Ju, Zhen-Quan Shi, Weiping Ding, Daoqiang Zhang:
SD-CNN: A static-dynamic convolutional neural network for functional brain networks. Medical Image Anal. 83: 102679 (2023) - 2022
- [j18]Weiping Ding, Bairu Pan, Hengrong Ju, Jiashuang Huang, Chun Cheng, Xinjie Shen, Yu Geng, Tao Hou:
RG-GCN: Improved Graph Convolution Neural Network Algorithm Based on Rough Graph. IEEE Access 10: 85582-85594 (2022) - [j17]Keyu Liu, Tianrui Li, Xibei Yang, Hengrong Ju, Xin Yang, Dun Liu:
Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization. Int. J. Approx. Reason. 148: 57-67 (2022) - [j16]Weiping Ding, Tingzhen Qin, Xinjie Shen, Hengrong Ju, Haipeng Wang, Jiashuang Huang, Ming Li:
Parallel incremental efficient attribute reduction algorithm based on attribute tree. Inf. Sci. 610: 1102-1121 (2022) - [j15]Hengrong Ju, Weiping Ding, Zhen-Quan Shi, Jiashuang Huang, Jie Yang, Xibei Yang:
Attribute reduction with personalized information granularity of nearest mutual neighbors. Inf. Sci. 613: 114-138 (2022) - [j14]Jing Ba, Keyu Liu, Hengrong Ju, Suping Xu, Taihua Xu, Xibei Yang:
Triple-G: a new MGRS and attribute reduction. Int. J. Mach. Learn. Cybern. 13(2): 337-356 (2022) - 2021
- [j13]Hengrong Ju, Weiping Ding, Xibei Yang, Hamido Fujita, Suping Xu:
Robust supervised rough granular description model with the principle of justifiable granularity. Appl. Soft Comput. 110: 107612 (2021) - [j12]Tao Yin, Xiaojuan Mao, Xingtan Wu, Hengrong Ju, Weiping Ding, Xibei Yang:
An improved D-S evidence theory based neighborhood rough classification approach. J. Intell. Fuzzy Syst. 41(6): 6601-6613 (2021) - 2020
- [j11]Weiping Ding, Ying Sun, Longjie Ren, Hengrong Ju, Zhihao Feng, Ming Li:
Multiple Lesions Detection of Fundus Images Based on Convolution Neural Network Algorithm With Improved SFLA. IEEE Access 8: 97618-97631 (2020) - [j10]Tao Yin, Xiaojuan Mao, Ying Zhang, Yiting Ma, Hengrong Ju, Weiping Ding:
Decision-Theoretic Rough Set: A Fusion Strategy. IEEE Access 8: 221027-221038 (2020) - [j9]Suping Xu, Hengrong Ju, Lin Shang, Witold Pedrycz, Xibei Yang, Chun Li:
Label distribution learning: A local collaborative mechanism. Int. J. Approx. Reason. 121: 59-84 (2020)
2010 – 2019
- 2019
- [j8]Jiubing Liu, Xianzhong Zhou, Bing Huang, Huaxiong Li, Hengrong Ju:
Combining similarity and divergence measures for intuitionistic fuzzy information clustering. J. Intell. Fuzzy Syst. 36(4): 3195-3209 (2019) - [j7]Hengrong Ju, Witold Pedrycz, Huaxiong Li, Weiping Ding, Xibei Yang, Xianzhong Zhou:
Sequential three-way classifier with justifiable granularity. Knowl. Based Syst. 163: 103-119 (2019) - 2017
- [j6]Hengrong Ju, Huaxiong Li, Xianzhong Zhou, Bing Huang, Xibei Yang:
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 44(9): 34-39 (2017) - [j5]Hengrong Ju, Huaxiong Li, Xibei Yang, Xianzhong Zhou, Bing Huang:
Cost-sensitive rough set: A multi-granulation approach. Knowl. Based Syst. 123: 137-153 (2017) - 2016
- [j4]Hengrong Ju, Xibei Yang, Hualong Yu, Tongjun Li, Dong-Jun Yu, Jingyu Yang:
Cost-sensitive rough set approach. Inf. Sci. 355-356: 282-298 (2016) - 2015
- [j3]Hengrong Ju, Xibei Yang, Yong Qi, Jingyu Yang:
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 42(8): 36-39 (2015) - [c1]Hengrong Ju, Xibei Yang, Pei Yang, Huaxiong Li, Xianzhong Zhou:
A Moderate Attribute Reduction Approach in Decision-Theoretic Rough Set. RSFDGrC 2015: 376-388 - 2014
- [j2]Hengrong Ju, Xibei Yang, Xiaoning Song, Yunsong Qi:
Dynamic updating multigranulation fuzzy rough set: approximations and reducts. Int. J. Mach. Learn. Cybern. 5(6): 981-990 (2014) - [j1]Hengrong Ju, Xibei Yang, Huili Dou, Jingjing Song:
Variable Precision Multigranulation Rough Set and Attributes Reduction. Trans. Rough Sets 18: 52-68 (2014)
Coauthor Index
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last updated on 2025-02-02 23:25 CET by the dblp team
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