Jiashuang Huang

According to our database, Jiashuang Huang authored at least 35 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

A Novel Spark-Based Attribute Reduction and Neighborhood Classification for Rough Evidence.

Weiping Ding, Ying Sun, Ming Li, Jun Liu, Hengrong Ju, Jiashuang Huang, Chin-Teng Lin

IEEE Trans. Cybern., March, 2024

Sparse Mutual Granularity-Based Feature Selection and its Application of Schizophrenia Patients.

Hengrong Ju, Tao Yin, Jiashuang Huang, Weiping Ding, Xibei Yang

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

RCAR-UNet: Retinal vessel segmentation network algorithm via novel rough attention mechanism.

Weiping Ding, Ying Sun, Jiashuang Huang, Hengrong Ju, Chongsheng Zhang, Guang Yang, Chin-Teng Lin

Inf. Sci., February, 2024

2023

FTransCNN: Fusing Transformer and a CNN based on fuzzy logic for uncertain medical image segmentation.

Weiping Ding, Haipeng Wang, Jiashuang Huang, Hengrong Ju, Yu Geng, Chin-Teng Lin, Witold Pedrycz

Inf. Fusion, November, 2023

Deep Multi-Modal Discriminative and Interpretability Network for Alzheimer's Disease Diagnosis.

Qi Zhu, Bingliang Xu, Jiashuang Huang, Heyang Wang, Ruting Xu, Wei Shao, Daoqiang Zhang

IEEE Trans. Medical Imaging, May, 2023

Spatial-Temporal Complex Graph Convolution Network for Traffic Flow Prediction.

Yinxin Bao, Jiashuang Huang, Qinqin Shen, Yang Cao, Weiping Ding, Zhen-Quan Shi, Quan Shi

Eng. Appl. Artif. Intell., May, 2023

SD-CNN: A static-dynamic convolutional neural network for functional brain networks.

Jiashuang Huang, Mingliang Wang, Hengrong Ju, Zhen-Quan Shi, Weiping Ding, Daoqiang Zhang

Medical Image Anal., 2023

Brain Age Prediction Based on Resting-State Functional MRI Using Similarity Metric Convolutional Neural Network.

Weiping Ding, Xinjie Shen, Jiashuang Huang, Hengrong Ju, Yuepeng Chen, Tao Yin

IEEE Access, 2023

2022

Consistent connectome landscape mining for cross-site brain disease identification using functional MRI.

Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Mingxia Liu, Qingshan Liu

Medical Image Anal., 2022

Attribute reduction with personalized information granularity of nearest mutual neighbors.

Hengrong Ju, Weiping Ding, Zhen-Quan Shi, Jiashuang Huang, Jie Yang, Xibei Yang

Inf. Sci., 2022

Parallel incremental efficient attribute reduction algorithm based on attribute tree.

Weiping Ding, Tingzhen Qin, Xinjie Shen, Hengrong Ju, Haipeng Wang, Jiashuang Huang, Ming Li

Inf. Sci., 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

A Hybrid Model Integrating Local and Global Spatial Correlation for Traffic Prediction.

Siyun Feng, Jiashuang Huang, Qinqin Shen, Quan Shi, Zhen-Quan Shi

IEEE Access, 2022

RG-GCN: Improved Graph Convolution Neural Network Algorithm Based on Rough Graph.

Weiping Ding, Bairu Pan, Hengrong Ju, Jiashuang Huang, Chun Cheng, Xinjie Shen, Yu Geng, Tao Hou

IEEE Access, 2022

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, Zhen-Quan Shi

IEEE Access, 2022

2021

Dual Attention Multi-Instance Deep Learning for Alzheimer's Disease Diagnosis With Structural MRI.

Wenyong Zhu, Liang Sun, Jiashuang Huang, Liangxiu Han, Daoqiang Zhang

IEEE Trans. Medical Imaging, 2021

Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI.

Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang

Medical Image Anal., 2021

Parallel Pathway Convolutional Neural Network with Low-rank Fusion for Brain Age Prediction.

Xinjie Shen, Jiashuang Huang, Ying Sun, Ming Li, Bairu Pan, Weiping Ding

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.

Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu

IEEE Trans. Medical Imaging, 2020

Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis.

Jiashuang Huang, Luping Zhou, Lei Wang, Daoqiang Zhang

IEEE Trans. Medical Imaging, 2020

Coherent Pattern in Multi-Layer Brain Networks: Application to Epilepsy Identification.

Jiashuang Huang, Qi Zhu, Mingliang Wang, Luping Zhou, Zhiqiang Zhang, Daoqiang Zhang

IEEE J. Biomed. Health Informatics, 2020

Hierarchical Structured Sparse Learning for Schizophrenia Identification.

Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Li Shen, Xijia Xu, Daoqiang Zhang, Mingxia Liu

Neuroinformatics, 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 Representation Learning of Dynamic Brain Networks for Schizophrenia Diagnosis.

Jiashuang Huang, Xu Li, Mingliang Wang, Daoqiang Zhang

Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

Unified Brain Network with Functional and Structural Data.

Jing Yang, Qi Zhu, Rui Zhang, Jiashuang Huang, Daoqiang Zhang

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.

Jiashuang Huang, Qi Zhu, Xiaoke Hao, Xiaomeng Shi, Shuzhan Gao, Xijia Xu, Daoqiang Zhang

IEEE J. Biomed. Health Informatics, 2019

Multi-modal AD classification via self-paced latent correlation analysis.

Qi Zhu, Ning Yuan, Jiashuang Huang, Xiaoke Hao, Daoqiang Zhang

Neurocomputing, 2019

Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease.

Meiling Wang, Xiaoke Hao, Jiashuang Huang, Wei Shao, Daoqiang Zhang

Bioinform., 2019

Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network.

Jiashuang Huang, Luping Zhou, Lei Wang, Daoqiang Zhang

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.

Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Ordinal Pattern: A New Descriptor for Brain Connectivity Networks.

Daoqiang Zhang, Jiashuang Huang, Biao Jie, Junqiang Du, Liyang Tu, Mingxia Liu

IEEE Trans. Medical Imaging, 2018

Node Based Row-Filter Convolutional Neural Network for Brain Network Classification.

Bingcheng Mao, Jiashuang Huang, Daoqiang Zhang

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification.

Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Dinggang Shen, Mingxia Liu

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.

Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Xijia Xu, Daoqiang Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

Sparse representation classification based on difference subspace.

Qi Zhu, Qingxiang Feng, Jiashuang Huang, Dan Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2016