Jiashuang Huang
Orcid: 0000-0002-6204-9569
According to our database1,
Jiashuang Huang
authored at least 65 papers
between 2016 and 2025.
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Bibliography
2025
MGRW-Transformer: Multigranularity Random Walk Transformer Model for Interpretable Learning.
IEEE Trans. Neural Networks Learn. Syst., January, 2025
Evolutionary multistage multitasking method for feature selection in imbalanced data.
Swarm Evol. Comput., 2025
Local structural-functional coupling with counterfactual explanations for epilepsy prediction.
NeuroImage, 2025
Class-specific semi-supervised feature selection with fuzzy convex balling information granularity.
Inf. Sci., 2025
MFCA: Collaborative prediction algorithm of brain age based on multimodal fuzzy feature fusion.
Inf. Sci., 2025
Dynamic evidence fusion neural networks with uncertainty theory and its application in brain network analysis.
Inf. Sci., 2025
Inf. Sci., 2025
FDBFN: Fuzzy discriminative broad fusion network for hyperspectral image classification.
Expert Syst. Appl., 2025
AGBN-Transformer: Anatomy-guided brain network transformer for schizophrenia diagnosis.
Biomed. Signal Process. Control., 2025
The fuzzy hypergraph neural network model based on sparse k-nearest neighborhood granule.
Appl. Soft Comput., 2025
Quality-aware fuzzy min-max neural networks for dynamic brain network analysis and its application to schizophrenia identification.
Appl. Soft Comput., 2025
Global-local graph convolutional broad network for hyperspectral image classification.
Appl. Soft Comput., 2025
2024
IEEE Trans. Knowl. Data Eng., December, 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
FMDNN: A Fuzzy-Guided Multigranular Deep Neural Network for Histopathological Image Classification.
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
An infrared and visible image fusion using knowledge measures for intuitionistic fuzzy sets and Swin Transformer.
Inf. Sci., 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
FDiff-Fusion: Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation.
Inf. Fusion, 2024
M2EF-NNs: Multimodal Multi-instance Evidence Fusion Neural Networks for Cancer Survival Prediction.
CoRR, 2024
FDiff-Fusion:Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation.
CoRR, 2024
FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification.
CoRR, 2024
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
Heterogeneous Node Feature Learning Method Based on Low-Order and High-Order Joint Learning.
IEEE Access, 2024
GCN-Based Encoder-Decoder Networks With Markov Random Field for Unsupervised Community Detection.
IEEE Access, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
FTransCNN: Fusing Transformer and a CNN based on fuzzy logic for uncertain medical image segmentation.
Inf. Fusion, November, 2023
Deep Multi-Modal Discriminative and Interpretability Network for Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging, May, 2023
Eng. Appl. Artif. Intell., May, 2023
Medical Image Anal., 2023
Brain Age Prediction Based on Resting-State Functional MRI Using Similarity Metric Convolutional Neural Network.
IEEE Access, 2023
2022
Consistent connectome landscape mining for cross-site brain disease identification using functional MRI.
Medical Image Anal., 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
GK-BSC: Graph Kernel-Based Brain States Construction With Dynamic Brain Networks and Application to Schizophrenia Identification.
IEEE Access, 2022
A Hybrid Model Integrating Local and Global Spatial Correlation for Traffic Prediction.
IEEE Access, 2022
IEEE Access, 2022
SDSCNN: A Hybrid Model Integrating Static and Dynamic Spatial Correlation Neural Network for Traffic Prediction.
IEEE Access, 2022
2021
Dual Attention Multi-Instance Deep Learning for Alzheimer's Disease Diagnosis With Structural MRI.
IEEE Trans. Medical Imaging, 2021
Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI.
Medical Image Anal., 2021
Parallel Pathway Convolutional Neural Network with Low-rank Fusion for Brain Age Prediction.
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021
2020
Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation.
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Medical Imaging, 2020
Coherent Pattern in Multi-Layer Brain Networks: Application to Epilepsy Identification.
IEEE J. Biomed. Health Informatics, 2020
Neuroinformatics, 2020
A novel node-level structure embedding and alignment representation of structural networks for brain disease analysis.
Medical Image Anal., 2020
Hierarchical Representation Learning of Dynamic Brain Networks for Schizophrenia Diagnosis.
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Identifying Resting-State Multifrequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification.
IEEE J. Biomed. Health Informatics, 2019
Neurocomputing, 2019
Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease.
Bioinform., 2019
Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
IEEE Trans. Medical Imaging, 2018
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016