Jiashuang Huang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 44

Top Topics

Attribute Reduction

Image Segmentation

Top Venues

IEEE Trans. Medical Imaging

Medical Image Anal.

Publications

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 (2024)
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) (2024)
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 (2024)
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) (2024)
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 (2024)
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 (2024)
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) (2024)
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) (2024)
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 (2024)
Weiping Ding, Hongcheng Yao, Hengrong Ju, Jiashuang Huang, Shu Jiang, Yuepeng Chen
Pheromone-guided parallel rough hypercuboid attribute reduction algorithm. Appl. Soft Comput. 156 (2024)
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 (2024)
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 (2024)
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 (2023)
Yin-Xin 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 (2023)
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 (2023)
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) (2023)
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 (2023)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
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)
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 (2021)
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) (2021)
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) (2020)
Jiashuang Huang, Luping Zhou, Lei Wang, Daoqiang Zhang
Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis. IEEE Trans. Medical Imaging 39 (7) (2020)
Jiashuang Huang, Xu Li, Mingliang Wang, Daoqiang Zhang
Hierarchical Representation Learning of Dynamic Brain Networks for Schizophrenia Diagnosis. PRCV (2) (2020)
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) (2020)
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) (2020)
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 (2020)
Jing Yang, Qi Zhu, Rui Zhang, Jiashuang Huang, Daoqiang Zhang
Unified Brain Network with Functional and Structural Data. MICCAI (7) (2020)
Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang
Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification. AAAI (2019)
Qi Zhu, Ning Yuan, Jiashuang Huang, Xiaoke Hao, Daoqiang Zhang
Multi-modal AD classification via self-paced latent correlation analysis. Neurocomputing 355 (2019)
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) (2019)
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) (2019)
Jiashuang Huang, Luping Zhou, Lei Wang, Daoqiang Zhang
Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network. MICCAI (3) (2019)
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) (2018)
Bingcheng Mao, Jiashuang Huang, Daoqiang Zhang
Node Based Row-Filter Convolutional Neural Network for Brain Network Classification. PRICAI (1) (2018)
Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Dinggang Shen, Mingxia Liu
Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification. MICCAI (1) (2018)
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)
Qi Zhu, Qingxiang Feng, Jiashuang Huang, Dan Zhang
Sparse representation classification based on difference subspace. CEC (2016)