Sparse representation classification based on difference subspace. - Qi Zhu 001; Qingxiang Feng; Jiashuang Huang; Dan Zhang (CEC, 2016)

Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease. - Mingliang Wang; Xiaoke Hao; Jiashuang Huang; Kangcheng Wang; Xijia Xu; Daoqiang Zhang (MICCAI (3), 2017)

Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification. - Mingliang Wang; Daoqiang Zhang; Jiashuang Huang; Dinggang Shen; Mingxia Liu 001 (MICCAI (1), 2018)

Node Based Row-Filter Convolutional Neural Network for Brain Network Classification. - Bingcheng Mao; Jiashuang Huang; Daoqiang Zhang (PRICAI (1), 2018)

Ordinal Pattern: A New Descriptor for Brain Connectivity Networks. - Daoqiang Zhang; Jiashuang Huang; Biao Jie; Junqiang Du; Liyang Tu; Mingxia Liu 001 (IEEE Trans. Medical Imaging, 2018)

Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification. - Mingliang Wang; Jiashuang Huang; Mingxia Liu 001; Daoqiang Zhang (AAAI, 2019)

Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network. - Jiashuang Huang; Luping Zhou; Lei Wang 001; Daoqiang Zhang (MICCAI (3), 2019)

Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease. - Meiling Wang 001; Xiaoke Hao; Jiashuang Huang; Wei Shao 005; Daoqiang Zhang (Bioinform., 2019)

Multi-modal AD classification via self-paced latent correlation analysis. - Qi Zhu 001; Ning Yuan; Jiashuang Huang; Xiaoke Hao; Daoqiang Zhang (Neurocomputing, 2019)

Identifying Resting-State Multifrequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification. - Jiashuang Huang; Qi Zhu 001; Xiaoke Hao; Xiaomeng Shi; Shuzhan Gao; Xijia Xu; Daoqiang Zhang (IEEE J. Biomed. Health Informatics, 2019)

Unified Brain Network with Functional and Structural Data. - Jing Yang; Qi Zhu 001; Rui Zhang; Jiashuang Huang; Daoqiang Zhang (MICCAI (7), 2020)

Hierarchical Representation Learning of Dynamic Brain Networks for Schizophrenia Diagnosis. - Jiashuang Huang; Xu Li; Mingliang Wang; Daoqiang Zhang (PRCV (2), 2020)

A novel node-level structure embedding and alignment representation of structural networks for brain disease analysis. - Jiashuang Huang; Mingliang Wang; Xijia Xu; Biao Jie; Daoqiang Zhang (Medical Image Anal., 2020)

Hierarchical Structured Sparse Learning for Schizophrenia Identification. - Mingliang Wang; Xiaoke Hao; Jiashuang Huang; Kangcheng Wang; Li Shen 001; Xijia Xu; Daoqiang Zhang; Mingxia Liu 001 (Neuroinformatics, 2020)

Coherent Pattern in Multi-Layer Brain Networks: Application to Epilepsy Identification. - Jiashuang Huang; Qi Zhu 001; Mingliang Wang; Luping Zhou; Zhiqiang Zhang; Daoqiang Zhang (IEEE J. Biomed. Health Informatics, 2020)

Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis. - Jiashuang Huang; Luping Zhou; Lei Wang 001; Daoqiang Zhang (IEEE Trans. Medical Imaging, 2020)

Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation. - Mingliang Wang; Daoqiang Zhang; Jiashuang Huang; Pew-Thian Yap; Dinggang Shen; Mingxia Liu 001 (IEEE Trans. Medical Imaging, 2020)

Parallel Pathway Convolutional Neural Network with Low-rank Fusion for Brain Age Prediction. - Xinjie Shen; Jiashuang Huang; Ying Sun; Ming Li 065; Bairu Pan; Weiping Ding 001 (DTPI, 2021)

Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI. - Mingliang Wang; Jiashuang Huang; Mingxia Liu 001; Daoqiang Zhang (Medical Image Anal., 2021)

Dual Attention Multi-Instance Deep Learning for Alzheimer's Disease Diagnosis With Structural MRI. - Wenyong Zhu; Liang Sun 009; Jiashuang Huang; Liangxiu Han; Daoqiang Zhang (IEEE Trans. Medical Imaging, 2021)

SDSCNN: A Hybrid Model Integrating Static and Dynamic Spatial Correlation Neural Network for Traffic Prediction. - Junming Dai; Jiashuang Huang; Qinqin Shen; Quan Shi; Siyun Feng; Zhenquan Shi 001 (IEEE Access, 2022)

RG-GCN: Improved Graph Convolution Neural Network Algorithm Based on Rough Graph. - Weiping Ding 001; Bairu Pan; Hengrong Ju; Jiashuang Huang; Chun Cheng; Xinjie Shen; Yu Geng; Tao Hou (IEEE Access, 2022)

A Hybrid Model Integrating Local and Global Spatial Correlation for Traffic Prediction. - Siyun Feng; Jiashuang Huang; Qinqin Shen; Quan Shi; Zhenquan Shi 001 (IEEE Access, 2022)

GK-BSC: Graph Kernel-Based Brain States Construction With Dynamic Brain Networks and Application to Schizophrenia Identification. - Xinyan Yuan; Lingling Gu; Jiashuang Huang (IEEE Access, 2022)

Parallel incremental efficient attribute reduction algorithm based on attribute tree. - Weiping Ding 001; Tingzhen Qin; Xinjie Shen; Hengrong Ju; Haipeng Wang; Jiashuang Huang; Ming Li 065 (Inf. Sci., 2022)

Attribute reduction with personalized information granularity of nearest mutual neighbors. - Hengrong Ju; Weiping Ding 001; Zhenquan Shi 001; Jiashuang Huang; Jie Yang 052; Xibei Yang (Inf. Sci., 2022)

Consistent connectome landscape mining for cross-site brain disease identification using functional MRI. - Mingliang Wang; Daoqiang Zhang; Jiashuang Huang; Mingxia Liu 001; Qingshan Liu (Medical Image Anal., 2022)

Brain Age Prediction Based on Resting-State Functional MRI Using Similarity Metric Convolutional Neural Network. - Weiping Ding 001; Xinjie Shen; Jiashuang Huang; Hengrong Ju; Yuepeng Chen; Tao Yin (IEEE Access, 2023)

SD-CNN: A static-dynamic convolutional neural network for functional brain networks. - Jiashuang Huang; Mingliang Wang; Hengrong Ju; Zhenquan Shi 001; Weiping Ding 001; Daoqiang Zhang (Medical Image Anal., 2023)

Spatial-Temporal Complex Graph Convolution Network for Traffic Flow Prediction. - Yinxin Bao; Jiashuang Huang; Qinqin Shen; Yang Cao 014; Weiping Ding 001; Zhenquan Shi 001; Quan Shi (Eng. Appl. Artif. Intell., 2023)

Deep Multi-Modal Discriminative and Interpretability Network for Alzheimer's Disease Diagnosis. - Qi Zhu 001; Bingliang Xu; Jiashuang Huang; Heyang Wang; Ruting Xu; Wei Shao 005; Daoqiang Zhang (IEEE Trans. Medical Imaging, 2023)

FTransCNN: Fusing Transformer and a CNN based on fuzzy logic for uncertain medical image segmentation. - Weiping Ding 001; Haipeng Wang; Jiashuang Huang; Hengrong Ju; Yu Geng; Chin-Teng Lin; Witold Pedrycz (Inf. Fusion, 2023)

Fuzzy Knowledge Distillation Model for Incomplete Multi-modality Data and Its Application to Brain Network Analysis. - Xiaoyu Qi; Jiashuang Huang; Xueyun Cheng; Mingliang Wang; Weiping Ding 001 (BIBM, 2024)

Quality-Aware Fuzzy Min-Max Neural Networks for Dynamic Brain Network Analysis. - Tao Hou; Jiashuang Huang; Shu Jiang; Weiping Ding 001 (MICCAI (2), 2024)

GCN-Based Encoder-Decoder Networks With Markov Random Field for Unsupervised Community Detection. - Fan Sun; Jiashuang Huang; Chang Guo; ZhenQuan Shi 001 (IEEE Access, 2024)

Heterogeneous Node Feature Learning Method Based on Low-Order and High-Order Joint Learning. - Bowen Wang; Jiashuang Huang; Chang Guo; Zhenquan Shi 001 (IEEE Access, 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 001; Daoqiang Zhang (Artif. Intell. Medicine, 2024)

Pheromone-guided parallel rough hypercuboid attribute reduction algorithm. - Weiping Ding 001; Hongcheng Yao; Hengrong Ju; Jiashuang Huang; Shu Jiang; Yuepeng Chen (Appl. Soft Comput., 2024)

FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification. - Weiping Ding 001; Tianyi Zhou 001; Jiashuang Huang; Shu Jiang; Tao Hou; Chin-Teng Lin (CoRR, 2024)

FDiff-Fusion:Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation. - Weiping Ding 001; Sheng Geng; Haipeng Wang; Jiashuang Huang; Tianyi Zhou 001 (CoRR, 2024)

M2EF-NNs: Multimodal Multi-instance Evidence Fusion Neural Networks for Cancer Survival Prediction. - Hui Luo; Jiashuang Huang; Hengrong Ju; Tianyi Zhou 001; Weiping Ding 001 (CoRR, 2024)

FDiff-Fusion: Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation. - Weiping Ding 001; Sheng Geng; Haipeng Wang; Jiashuang Huang; Tianyi Zhou 001 (Inf. Fusion, 2024)

A distributed attribute reduction based on neighborhood evidential conflict with Apache Spark. - Yuepeng Chen; Weiping Ding 001; Hengrong Ju; Jiashuang Huang; Tao Yin (Inf. Sci., 2024)

Multi-association evidential feature selection and its application to identifying schizophrenia. - Hengrong Ju; Xiaoxue Fan; Weiping Ding 001; Jiashuang Huang; Witold Pedrycz; Xibei Yang (Inf. Sci., 2024)

An infrared and visible image fusion using knowledge measures for intuitionistic fuzzy sets and Swin Transformer. - Muhammad Jabir Khan; Shu Jiang; Weiping Ding 001; Jiashuang Huang; Haipeng Wang (Inf. Sci., 2024)

RCAR-UNet: Retinal vessel segmentation network algorithm via novel rough attention mechanism. - Weiping Ding 001; Ying Sun; Jiashuang Huang; Hengrong Ju; Chongsheng Zhang; Guang Yang 006; Chin-Teng Lin (Inf. Sci., 2024)

Sparse Mutual Granularity-Based Feature Selection and its Application of Schizophrenia Patients. - Hengrong Ju; Tao Yin; Jiashuang Huang; Weiping Ding 001; Xibei Yang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

A Novel Spark-Based Attribute Reduction and Neighborhood Classification for Rough Evidence. - Weiping Ding 001; Ying Sun; Ming Li 065; Jun Liu 001; Hengrong Ju; Jiashuang Huang; Chin-Teng Lin (IEEE Trans. Cybern., 2024)

FMDNN: A Fuzzy-Guided Multigranular Deep Neural Network for Histopathological Image Classification. - Weiping Ding 001; Tianyi Zhou 001; Jiashuang Huang; Shu Jiang; Tao Hou; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2024)

BiFuG2-Spark: Bi-Directional Fuzzy Granular-Cabin Parallel Attribute Reduction Accelerator With Granular-Group Collaboration. - Hengrong Ju; Tingting Shan; Weiping Ding 001; Keyu Liu; Muhammad Jabir Khan; Jiashuang Huang; Xibei Yang (IEEE Trans. Fuzzy Syst., 2024)

Cascaded Two-Stage Feature Clustering and Selection via Separability and Consistency in Fuzzy Decision Systems. - Yuepeng Chen; Weiping Ding 001; Hengrong Ju; Jiashuang Huang; Tao Yin (IEEE Trans. Fuzzy Syst., 2024)

ViTH-RFG: Vision Transformer Hashing With Residual Fuzzy Generation for Targeted Attack in Medical Image Retrieval. - Weiping Ding 001; Chuansheng Liu; Jiashuang Huang; Chun Cheng; Hengrong Ju (IEEE Trans. Fuzzy Syst., 2024)

Dual-Channel Fuzzy Interaction Information Fused Feature Selection With Fuzzy Sparse and Shared Granularities. - Hengrong Ju; Xiaoxue Fan; Weiping Ding 001; Jiashuang Huang; Suping Xu; Xibei Yang; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 2024)

C2F-Explainer: Explaining Transformers Better Through a Coarse-to-Fine Strategy. - Weiping Ding 001; Xiaotian Cheng; Yu Geng; Jiashuang Huang; Hengrong Ju (IEEE Trans. Knowl. Data Eng., 2024)

SUFT: Sparse and Uncertain Fusion Transformers for Multi-Atlas Brain Network Analysis. - Zhan Su; Jiashuang Huang; Shu Jiang; Mingliang Wang; Weiping Ding 001 (ICASSP, 2025)

SCNN: Spike Coupling Neural Network for Multimodal Brain Network Analysis. - Shaolong Wei; Jiashuang Huang; Mingliang Wang; Shu Jiang; Weiping Ding 001 (ICASSP, 2025)

Document-Level Neural Machine Translation With Document Embeddings. - Linxing Zhu; Shu Jiang; Hai Zhao 001; Zuchao Li; Jiashuang Huang; Weiping Ding 001; Bao-Liang Lu (IEEE Access, 2025)

Global-local graph convolutional broad network for hyperspectral image classification. - Yonghe Chu; Jun Cao; Jiashuang Huang; Hengrong Ju; Guangen Liu; Heling Cao; Weiping Ding 001 (Appl. Soft Comput., 2025)

MGC-DMF: A traffic flow forecasting method based on multi-graph spatio-temporal convolution and dynamic metric fusion with multi-source basic information. - Ji Feng; Jiashuang Huang; Weiping Ding 001; Chang Guo; Zhenquan Shi 001 (Appl. Soft Comput., 2025)

Quality-aware fuzzy min-max neural networks for dynamic brain network analysis and its application to schizophrenia identification. - Tao Hou; Weiping Ding 001; Jiashuang Huang; Shu Jiang; Hongcheng Yao; Tianyi Zhou 001; Hengrong Ju (Appl. Soft Comput., 2025)

The fuzzy hypergraph neural network model based on sparse k-nearest neighborhood granule. - Tao Yin; Weiping Ding 001; Hengrong Ju; Jiashuang Huang; Yuepeng Chen (Appl. Soft Comput., 2025)

F2CAU-Net: A dual fuzzy medical image segmentation cascade method based on fuzzy feature learning. - Tianyi Zhou 001; Haipeng Wang; Sheng Geng; Hengrong Ju; Jiashuang Huang; Fan Fu; Weiping Ding 001 (Appl. Soft Comput., 2025)

AGBN-Transformer: Anatomy-guided brain network transformer for schizophrenia diagnosis. - Jiashuang Huang; Mingliang Wang; Hengrong Ju; Weiping Ding 001; Daoqiang Zhang (Biomed. Signal Process. Control., 2025)

FDBFN: Fuzzy discriminative broad fusion network for hyperspectral image classification. - Yonghe Chu; Jun Cao; Weiping Ding 001; Jiashuang Huang; Hengrong Ju; Heling Cao (Expert Syst. Appl., 2025)

Hyperspectral image classification using feature fusion fuzzy graph broad network. - Yonghe Chu; Jun Cao; Weiping Ding 001; Jiashuang Huang; Hengrong Ju; Heling Cao; Guangen Liu (Inf. Sci., 2025)

Dynamic evidence fusion neural networks with uncertainty theory and its application in brain network analysis. - Weiping Ding 001; Tao Hou; Jiashuang Huang; Hengrong Ju; Shu Jiang (Inf. Sci., 2025)

MFCA: Collaborative prediction algorithm of brain age based on multimodal fuzzy feature fusion. - Weiping Ding 001; Jing Wang; Jiashuang Huang; Chun Cheng; Shu Jiang (Inf. Sci., 2025)

Class-specific semi-supervised feature selection with fuzzy convex balling information granularity. - Hengrong Ju; Jiarong Li; Weiping Ding 001; Xiaoxue Fan; Jiashuang Huang; Suping Xu; Xibei Yang (Inf. Sci., 2025)

JLR-GCN: Joint label-aware and relation-aware graph convolution neural network for heterogeneous graph representations. - Zhenquan Shi 001; Wengjian Zhang; Jiashuang Huang; Weiping Ding 001 (Inf. Sci., 2025)

Local structural-functional coupling with counterfactual explanations for epilepsy prediction. - Jiashuang Huang; Shaolong Wei; Zhen Gao; Shu Jiang; Mingliang Wang; Liang Sun 009; Weiping Ding 001; Daoqiang Zhang (NeuroImage, 2025)

Evolutionary multistage multitasking method for feature selection in imbalanced data. - Weiping Ding 001; Hongcheng Yao; Jiashuang Huang; Tao Hou; Yu Geng (Swarm Evol. Comput., 2025)

MGRW-Transformer: Multigranularity Random Walk Transformer Model for Interpretable Learning. - Weiping Ding 001; Yu Geng; Jiashuang Huang; Hengrong Ju; Haipeng Wang; Chin-Teng Lin (IEEE Trans. Neural Networks Learn. Syst., 2025)

Multi-view fusion neural networks for heterogeneous graph representation learning. - Zhenquan Shi 001; Bowen Wang; Jiashuang Huang (Appl. Intell., 2025)