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2020 – today
- 2025
[j44]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)- [j43]Weiping Ding
, Jing Wang, Jiashuang Huang, Chun Cheng, Shu Jiang:
MFCA: Collaborative prediction algorithm of brain age based on multimodal fuzzy feature fusion. Inf. Sci. 687: 121376 (2025) - [j42]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) - [j41]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) - 2024
- [j40]Fan Sun, Jiashuang Huang, Chang Guo, Zhen-Quan Shi:
GCN-Based Encoder-Decoder Networks With Markov Random Field for Unsupervised Community Detection. IEEE Access 12: 142141-142154 (2024) - [j39]Bowen Wang, Jiashuang Huang, Chang Guo, Zhenquan Shi:
Heterogeneous Node Feature Learning Method Based on Low-Order and High-Order Joint Learning. IEEE Access 12: 142475-142487 (2024) - [j38]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) - [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]Weiping Ding, Sheng Geng, Haipeng Wang, Jiashuang Huang, Tianyi Zhou:
FDiff-Fusion: Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation. Inf. Fusion 112: 102540 (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]Muhammad Jabir Khan, Shu Jiang, Weiping Ding, Jiashuang Huang, Haipeng Wang:
An infrared and visible image fusion using knowledge measures for intuitionistic fuzzy sets and Swin Transformer. Inf. Sci. 684: 121291 (2024) - [j31]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) - [j30]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) - [j29]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) - [j28]Weiping Ding, Tianyi Zhou, Jiashuang Huang, Shu Jiang, Tao Hou, Chin-Teng Lin:
FMDNN: A Fuzzy-Guided Multigranular Deep Neural Network for Histopathological Image Classification. IEEE Trans. Fuzzy Syst. 32(8): 4709-4723 (2024) - [j27]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) - [j26]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) - [j25]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) - [j24]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) - [c10]Tao Hou, Jiashuang Huang, Shu Jiang, Weiping Ding:
Quality-Aware Fuzzy Min-Max Neural Networks for Dynamic Brain Network Analysis. MICCAI (2) 2024: 356-366 - [i4]Weiping Ding, Tianyi Zhou, Jiashuang Huang, Shu Jiang, Tao Hou, Chin-Teng Lin:
FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification. CoRR abs/2407.15312 (2024) - [i3]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) - [i2]Weiping Ding, Sheng Geng, Haipeng Wang, Jiashuang Huang, Tianyi Zhou:
FDiff-Fusion:Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation. CoRR abs/2408.02075 (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
- [j23]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) - [j22]Yinxin Bao, Jiashuang Huang, Qinqin Shen, Yang Cao, Weiping Ding, Zhen-Quan Shi, Quan Shi:
Spatial-Temporal Complex Graph Convolution Network for Traffic Flow Prediction. Eng. Appl. Artif. Intell. 121: 106044 (2023) - [j21]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) - [j20]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) - [j19]Qi Zhu, Bingliang Xu, Jiashuang Huang, Heyang Wang, Ruting Xu, Wei Shao, Daoqiang Zhang:
Deep Multi-Modal Discriminative and Interpretability Network for Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging 42(5): 1472-1483 (2023) - 2022
- [j18]Siyun Feng, Jiashuang Huang, Qinqin Shen, Quan Shi, Zhen-Quan Shi:
A Hybrid Model Integrating Local and Global Spatial Correlation for Traffic Prediction. IEEE Access 10: 2170-2181 (2022) - [j17]Xinyan Yuan, Lingling Gu, Jiashuang Huang:
GK-BSC: Graph Kernel-Based Brain States Construction With Dynamic Brain Networks and Application to Schizophrenia Identification. IEEE Access 10: 58558-58565 (2022) - [j16]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) - [j15]Junming Dai, Jiashuang Huang, Qinqin Shen, Quan Shi, Siyun Feng, Zhen-Quan Shi:
SDSCNN: A Hybrid Model Integrating Static and Dynamic Spatial Correlation Neural Network for Traffic Prediction. IEEE Access 10: 121159-121172 (2022) - [j14]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) - [j13]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) - [j12]Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Mingxia Liu, Qingshan Liu:
Consistent connectome landscape mining for cross-site brain disease identification using functional MRI. Medical Image Anal. 82: 102591 (2022) - 2021
- [j11]Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang:
Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI. Medical Image Anal. 71: 102063 (2021) - [j10]Wenyong Zhu, Liang Sun, Jiashuang Huang, Liangxiu Han, Daoqiang Zhang:
Dual Attention Multi-Instance Deep Learning for Alzheimer's Disease Diagnosis With Structural MRI. IEEE Trans. Medical Imaging 40(9): 2354-2366 (2021) - [c9]Xinjie Shen, Jiashuang Huang, Ying Sun, Ming Li, Bairu Pan, Weiping Ding:
Parallel Pathway Convolutional Neural Network with Low-rank Fusion for Brain Age Prediction. DTPI 2021: 434-437 - 2020
- [j9]Jiashuang Huang, Mingliang Wang, Xijia Xu, Biao Jie, Daoqiang Zhang:
A novel node-level structure embedding and alignment representation of structural networks for brain disease analysis. Medical Image Anal. 65: 101755 (2020) - [j8]Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Li Shen, Xijia Xu, Daoqiang Zhang, Mingxia Liu:
Hierarchical Structured Sparse Learning for Schizophrenia Identification. Neuroinformatics 18(1): 43-57 (2020) - [j7]Jiashuang Huang, Qi Zhu, Mingliang Wang, Luping Zhou, Zhiqiang Zhang, Daoqiang Zhang:
Coherent Pattern in Multi-Layer Brain Networks: Application to Epilepsy Identification. IEEE J. Biomed. Health Informatics 24(9): 2609-2620 (2020) - [j6]Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu:
Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation. IEEE Trans. Medical Imaging 39(3): 644-655 (2020) - [j5]Jiashuang Huang, Luping Zhou, Lei Wang, Daoqiang Zhang:
Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis. IEEE Trans. Medical Imaging 39(7): 2541-2552 (2020) - [c8]Jing Yang, Qi Zhu, Rui Zhang, Jiashuang Huang, Daoqiang Zhang:
Unified Brain Network with Functional and Structural Data. MICCAI (7) 2020: 114-123 - [c7]Jiashuang Huang, Xu Li, Mingliang Wang, Daoqiang Zhang:
Hierarchical Representation Learning of Dynamic Brain Networks for Schizophrenia Diagnosis. PRCV (2) 2020: 470-479
2010 – 2019
- 2019
- [j4]Meiling Wang, Xiaoke Hao, Jiashuang Huang, Wei Shao, Daoqiang Zhang:
Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease. Bioinform. 35(11): 1948-1957 (2019) - [j3]Qi Zhu, Ning Yuan, Jiashuang Huang, Xiaoke Hao, Daoqiang Zhang:
Multi-modal AD classification via self-paced latent correlation analysis. Neurocomputing 355: 143-154 (2019) - [j2]Jiashuang Huang, Qi Zhu, Xiaoke Hao, Xiaomeng Shi, Shuzhan Gao, Xijia Xu, Daoqiang Zhang:
Identifying Resting-State Multifrequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification. IEEE J. Biomed. Health Informatics 23(1): 342-350 (2019) - [c6]Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang:
Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification. AAAI 2019: 1198-1205 - [c5]Jiashuang Huang, Luping Zhou, Lei Wang, Daoqiang Zhang:
Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network. MICCAI (3) 2019: 691-699 - 2018
- [j1]Daoqiang Zhang, Jiashuang Huang, Biao Jie, Junqiang Du, Liyang Tu, Mingxia Liu:
Ordinal Pattern: A New Descriptor for Brain Connectivity Networks. IEEE Trans. Medical Imaging 37(7): 1711-1722 (2018) - [c4]Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Dinggang Shen, Mingxia Liu:
Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification. MICCAI (1) 2018: 647-654 - [c3]Bingcheng Mao, Jiashuang Huang, Daoqiang Zhang:
Node Based Row-Filter Convolutional Neural Network for Brain Network Classification. PRICAI (1) 2018: 1069-1080 - 2017
- [c2]Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Xijia Xu, Daoqiang Zhang:
Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease. MICCAI (3) 2017: 46-54 - 2016
- [c1]Qi Zhu, Qingxiang Feng, Jiashuang Huang, Dan Zhang:
Sparse representation classification based on difference subspace. CEC 2016: 4244-4249
Coauthor Index
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last updated on 2025-01-06 02:01 CET by the dblp team
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