Jiashuang Huang

91 papers A* 2B 3Misc 2Journal 74Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An innovative feature selection approach with two-stage fusion using fuzzy neighborhood strategies. Appl. Soft Comput. Tian Xie, Weiping Ding, Hengrong Ju, Jiashuang Huang, Yuepeng Chen
2026	J	`jnl`	DCTH-CF: dual-channel transformer hashing with co-attention fusion for medical image retrieval. Int. J. Mach. Learn. Cybern. Linlin Zhou, Yifan Jiang, Wei Zhang, Jiashuang Huang, Weiping Ding
2026	J	`jnl`	Distributed fuzzy attribute reduction for partially labeled big data. Appl. Soft Comput. Tingting Shan, Hengrong Ju, Lijiao Qiao, Weiping Ding, Keyu Liu, Jiashuang Huang, Xibei Yang
2026	J	`jnl`	FEU-Diff: A Diffusion Model With Fuzzy Evidence-Driven Dynamic Uncertainty Fusion for Medical Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. Sheng Geng, Shu Jiang, Tao Hou, Hongcheng Yao, Jiashuang Huang, Weiping Ding
2026	J	`jnl`	FGMMa: Multiembedding Node Classification via Fuzzy Graph Message Passing and Graph Mamba. IEEE Trans. Fuzzy Syst. Tian Xie, Tao Yin, Wei Zhang, Hengrong Ju, Jiashuang Huang, Weiping Ding
2026	J	`jnl`	Fuzzy-KD: Fuzzy knowledge distillation model for brain network analysis with incomplete multi-modal data. Biomed. Signal Process. Control. Xiaoyu Qi, Xueyun Cheng, Mingliang Wang, Hengrong Ju, Weiping Ding, Jiashuang Huang
2026	J	`jnl`	Hyper-network curvature: A new representation method for high-order brain network analysis. Pattern Recognit. Kai Ma, Tianyu Du, Qi Zhu, Xuyun Wen, Jiashuang Huang, Xibei Yang, Daoqiang Zhang
2026	J	`jnl`	Multimodal brain network analysis: Research advances and challenges. Inf. Fusion Tao Hou, Wenhao Dai, Jiashuang Huang, Youyong Kong, Weiping Ding
2026	J	`jnl`	Select then fusion: An effective multi-atlas brain network analysis method with sparse and uncertain mechanism. Neural Networks Jiashuang Huang, Zhan Su, Shu Jiang, Tao Hou, Mingliang Wang, Weiping Ding
2026	J	`jnl`	Static-dynamic functional connectivity fusion via cross-attention for ASD identification. Biomed. Signal Process. Control. Mingliang Wang, Linghua Ma, Xizhi Li, Jiashuang Huang, Zhuo Wan
2025	J	`jnl`	AGBN-Transformer: Anatomy-guided brain network transformer for schizophrenia diagnosis. Biomed. Signal Process. Control. Jiashuang Huang, Mingliang Wang, Hengrong Ju, Weiping Ding, Daoqiang Zhang
2025	J	`jnl`	An Efficient Survival Prediction Framework Based on Multimodal Multi-Instance Fuzzy Optimal Transport. IEEE Trans. Fuzzy Syst. Hui Luo, Jiashuang Huang, Tianyi Zhou, Erlv Wu, Weiping Ding
2025	J	`jnl`	Class-specific semi-supervised feature selection with fuzzy convex balling information granularity. Inf. Sci. Hengrong Ju, Jiarong Li, Weiping Ding, Xiaoxue Fan, Jiashuang Huang, Suping Xu, Xibei Yang
2025	J	`jnl`	Document-Level Neural Machine Translation With Document Embeddings. IEEE Access Linxing Zhu, Shu Jiang, Hai Zhao, Zuchao Li, Jiashuang Huang, Weiping Ding, Bao-Liang Lu
2025	J	`jnl`	Dynamic evidence fusion neural networks with uncertainty theory and its application in brain network analysis. Inf. Sci. Weiping Ding, Tao Hou, Jiashuang Huang, Hengrong Ju, Shu Jiang
2025	J	`jnl`	Evolutionary multistage multitasking method for feature selection in imbalanced data. Swarm Evol. Comput. Weiping Ding, Hongcheng Yao, Jiashuang Huang, Tao Hou, Yu Geng
2025	J	`jnl`	F2CAU-Net: A dual fuzzy medical image segmentation cascade method based on fuzzy feature learning. Appl. Soft Comput. Tianyi Zhou, Haipeng Wang, Sheng Geng, Hengrong Ju, Jiashuang Huang, Fan Fu, Weiping Ding
2025	J	`jnl`	FCAformer: Fuzzy-Enhanced Class-Aware Attention Based Transformer for Weakly Supervised Histopathology Image Segmentation. IEEE Trans. Fuzzy Syst. Xiaotian Cheng, Weiping Ding, Jiashuang Huang, Hengrong Ju, Tianyi Zhou, Jing Guo, Witold Pedrycz
2025	J	`jnl`	FDBFN: Fuzzy discriminative broad fusion network for hyperspectral image classification. Expert Syst. Appl. Yonghe Chu, Jun Cao, Weiping Ding, Jiashuang Huang, Hengrong Ju, Heling Cao
2025	J	`jnl`	Global-local graph convolutional broad network for hyperspectral image classification. Appl. Soft Comput. Yonghe Chu, Jun Cao, Jiashuang Huang, Hengrong Ju, Guangen Liu, Heling Cao, Weiping Ding
2025	J	`jnl`	Hyperspectral image classification using feature fusion fuzzy graph broad network. Inf. Sci. Yonghe Chu, Jun Cao, Weiping Ding, Jiashuang Huang, Hengrong Ju, Heling Cao, Guangen Liu
2025	B	`conf`	IT-GNN: Interactive Two-Stage GNN for Multi-Atlas Brain Network Analysis. IEEE Big Data Zhu Chen, Haonan Rao, Lijun Zhao, Mingliang Wang, Weiping Ding, Jiashuang Huang
2025	J	`jnl`	JLR-GCN: Joint label-aware and relation-aware graph convolution neural network for heterogeneous graph representations. Inf. Sci. Zhenquan Shi, Wengjian Zhang, Jiashuang Huang, Weiping Ding
2025	J	`jnl`	Local structural-functional coupling with counterfactual explanations for epilepsy prediction. NeuroImage Jiashuang Huang, Shaolong Wei, Zhen Gao, Shu Jiang, Mingliang Wang, Liang Sun, Weiping Ding, Daoqiang Zhang
2025	J	`jnl`	MFCA: Collaborative prediction algorithm of brain age based on multimodal fuzzy feature fusion. Inf. Sci. Weiping Ding, Jing Wang, Jiashuang Huang, Chun Cheng, Shu Jiang
2025	J	`jnl`	MGC-DMF: A traffic flow forecasting method based on multi-graph spatio-temporal convolution and dynamic metric fusion with multi-source basic information. Appl. Soft Comput. Ji Feng, Jiashuang Huang, Weiping Ding, Chang Guo, Zhenquan Shi
2025	J	`jnl`	MGRW-Transformer: Multigranularity Random Walk Transformer Model for Interpretable Learning. IEEE Trans. Neural Networks Learn. Syst. Weiping Ding, Yu Geng, Jiashuang Huang, Hengrong Ju, Haipeng Wang, Chin-Teng Lin
2025	B	`conf`	Multi-Timescale Spiking Neural Network with Dual-Hemispheric Fusion and Coupling for Brain Disorder Diagnosis. IEEE Big Data Yingying Zhou, Shaolong Wei, Zhanmo Mi, Mingliang Wang, Weiping Ding, Jiashuang Huang
2025	J	`jnl`	Multi-view fusion neural networks for heterogeneous graph representation learning. Appl. Intell. Zhenquan Shi, Bowen Wang, Jiashuang Huang
2025	J	`jnl`	Multigranularity Fuzzy Autoencoder for Discriminative Feature Selection in High-Dimensional Data. IEEE Trans. Neural Networks Learn. Syst. Yuepeng Chen, Weiping Ding, Jiashuang Huang, Wei Zhang, Tianyi Zhou
2025	J	`jnl`	Quality-aware fuzzy min-max neural networks for dynamic brain network analysis and its application to schizophrenia identification. Appl. Soft Comput. Tao Hou, Weiping Ding, Jiashuang Huang, Shu Jiang, Hongcheng Yao, Tianyi Zhou, Hengrong Ju
2025	Misc	`conf`	SCNN: Spike Coupling Neural Network for Multimodal Brain Network Analysis. ICASSP Shaolong Wei, Jiashuang Huang, Mingliang Wang, Shu Jiang, Weiping Ding
2025	A*	`conf`	SCNNs: Spike-based Coupling Neural Networks for Understanding Structural-Functional Relationships in the Human Brain. IJCAI Shaolong Wei, Shu Jiang, Mingliang Wang, Liang Sun, Haonan Rao, Weiping Ding, Jiashuang Huang
2025	Misc	`conf`	SUFT: Sparse and Uncertain Fusion Transformers for Multi-Atlas Brain Network Analysis. ICASSP Zhan Su, Jiashuang Huang, Shu Jiang, Mingliang Wang, Weiping Ding
2025	J	`jnl`	The fuzzy hypergraph neural network model based on sparse k-nearest neighborhood granule. Appl. Soft Comput. Tao Yin, Weiping Ding, Hengrong Ju, Jiashuang Huang, Yuepeng Chen
2025	—	`conf`	VT-SNN: Variable Time-Step Spiking Neural Network Based on Uncertainty Measure and Its Application in Brain Disease Diagnosis. MICCAI (15) Haonan Rao, Shaolong Wei, Shu Jiang, Mingliang Wang, Weiping Ding, Jiashuang Huang
2024	J	`jnl`	A Novel Spark-Based Attribute Reduction and Neighborhood Classification for Rough Evidence. IEEE Trans. Cybern. Weiping Ding, Ying Sun, Ming Li, Jun Liu, Hengrong Ju, Jiashuang Huang, Chin-Teng Lin
2024	J	`jnl`	A distributed attribute reduction based on neighborhood evidential conflict with Apache Spark. Inf. Sci. Yuepeng Chen, Weiping Ding, Hengrong Ju, Jiashuang Huang, Tao Yin
2024	J	`jnl`	An infrared and visible image fusion using knowledge measures for intuitionistic fuzzy sets and Swin Transformer. Inf. Sci. Muhammad Jabir Khan, Shu Jiang, Weiping Ding, Jiashuang Huang, Haipeng Wang
2024	J	`jnl`	BiFuG2-Spark: Bi-Directional Fuzzy Granular-Cabin Parallel Attribute Reduction Accelerator With Granular-Group Collaboration. IEEE Trans. Fuzzy Syst. Hengrong Ju, Tingting Shan, Weiping Ding, Keyu Liu, Muhammad Jabir Khan, Jiashuang Huang, Xibei Yang
2024	J	`jnl`	C2F-Explainer: Explaining Transformers Better Through a Coarse-to-Fine Strategy. IEEE Trans. Knowl. Data Eng. Weiping Ding, Xiaotian Cheng, Yu Geng, Jiashuang Huang, Hengrong Ju
2024	J	`jnl`	Cascaded Two-Stage Feature Clustering and Selection via Separability and Consistency in Fuzzy Decision Systems. IEEE Trans. Fuzzy Syst. Yuepeng Chen, Weiping Ding, Hengrong Ju, Jiashuang Huang, Tao Yin
2024	J	`jnl`	Cascaded two-stage feature clustering and selection via separability and consistency in fuzzy decision systems. CoRR Yuepeng Chen, Weiping Ding, Hengrong Ju, Jiashuang Huang, Tao Yin
2024	J	`jnl`	Dual-Channel Fuzzy Interaction Information Fused Feature Selection With Fuzzy Sparse and Shared Granularities. IEEE Trans. Fuzzy Syst. Hengrong Ju, Xiaoxue Fan, Weiping Ding, Jiashuang Huang, Suping Xu, Xibei Yang, Witold Pedrycz
2024	J	`jnl`	FDiff-Fusion: Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation. Inf. Fusion Weiping Ding, Sheng Geng, Haipeng Wang, Jiashuang Huang, Tianyi Zhou
2024	J	`jnl`	FDiff-Fusion:Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation. CoRR Weiping Ding, Sheng Geng, Haipeng Wang, Jiashuang Huang, Tianyi Zhou
2024	J	`jnl`	FMDNN: A Fuzzy-Guided Multigranular Deep Neural Network for Histopathological Image Classification. IEEE Trans. Fuzzy Syst. Weiping Ding, Tianyi Zhou, Jiashuang Huang, Shu Jiang, Tao Hou, Chin-Teng Lin
2024	J	`jnl`	FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification. CoRR Weiping Ding, Tianyi Zhou, Jiashuang Huang, Shu Jiang, Tao Hou, Chin-Teng Lin
2024	—	`conf`	Fuzzy Knowledge Distillation Model for Incomplete Multi-modality Data and Its Application to Brain Network Analysis. BIBM Xiaoyu Qi, Jiashuang Huang, Xueyun Cheng, Mingliang Wang, Weiping Ding
2024	J	`jnl`	GCN-Based Encoder-Decoder Networks With Markov Random Field for Unsupervised Community Detection. IEEE Access Fan Sun, Jiashuang Huang, Chang Guo, Zhenquan Shi
2024	J	`jnl`	Heterogeneous Node Feature Learning Method Based on Low-Order and High-Order Joint Learning. IEEE Access Bowen Wang, Jiashuang Huang, Chang Guo, Zhenquan Shi
2024	J	`jnl`	M2EF-NNs: Multimodal Multi-instance Evidence Fusion Neural Networks for Cancer Survival Prediction. CoRR Hui Luo, Jiashuang Huang, Hengrong Ju, Tianyi Zhou, Weiping Ding
2024	J	`jnl`	MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification. Artif. Intell. Medicine Jiashuang Huang, Xiaoyu Qi, Xueyun Cheng, Mingliang Wang, Hengrong Ju, Weiping Ding, Daoqiang Zhang
2024	J	`jnl`	Multi-association evidential feature selection and its application to identifying schizophrenia. Inf. Sci. Hengrong Ju, Xiaoxue Fan, Weiping Ding, Jiashuang Huang, Witold Pedrycz, Xibei Yang
2024	J	`jnl`	Pheromone-guided parallel rough hypercuboid attribute reduction algorithm. Appl. Soft Comput. Weiping Ding, Hongcheng Yao, Hengrong Ju, Jiashuang Huang, Shu Jiang, Yuepeng Chen
2024	—	`conf`	Quality-Aware Fuzzy Min-Max Neural Networks for Dynamic Brain Network Analysis. MICCAI (2) Tao Hou, Jiashuang Huang, Shu Jiang, Weiping Ding
2024	J	`jnl`	RCAR-UNet: Retinal vessel segmentation network algorithm via novel rough attention mechanism. Inf. Sci. Weiping Ding, Ying Sun, Jiashuang Huang, Hengrong Ju, Chongsheng Zhang, Guang Yang, Chin-Teng Lin
2024	J	`jnl`	Sparse Mutual Granularity-Based Feature Selection and its Application of Schizophrenia Patients. IEEE Trans. Emerg. Top. Comput. Intell. Hengrong Ju, Tao Yin, Jiashuang Huang, Weiping Ding, Xibei Yang
2024	J	`jnl`	ViTH-RFG: Vision Transformer Hashing With Residual Fuzzy Generation for Targeted Attack in Medical Image Retrieval. IEEE Trans. Fuzzy Syst. Weiping Ding, Chuansheng Liu, Jiashuang Huang, Chun Cheng, Hengrong Ju
2023	J	`jnl`	Brain Age Prediction Based on Resting-State Functional MRI Using Similarity Metric Convolutional Neural Network. IEEE Access Weiping Ding, Xinjie Shen, Jiashuang Huang, Hengrong Ju, Yuepeng Chen, Tao Yin
2023	J	`jnl`	Deep Multi-Modal Discriminative and Interpretability Network for Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging Qi Zhu, Bingliang Xu, Jiashuang Huang, Heyang Wang, Ruting Xu, Wei Shao, Daoqiang Zhang
2023	J	`jnl`	FTransCNN: Fusing Transformer and a CNN based on fuzzy logic for uncertain medical image segmentation. Inf. Fusion Weiping Ding, Haipeng Wang, Jiashuang Huang, Hengrong Ju, Yu Geng, Chin-Teng Lin, Witold Pedrycz
2023	J	`jnl`	SD-CNN: A static-dynamic convolutional neural network for functional brain networks. Medical Image Anal. Jiashuang Huang, Mingliang Wang, Hengrong Ju, Zhenquan Shi, Weiping Ding, Daoqiang Zhang
2023	J	`jnl`	Spatial-Temporal Complex Graph Convolution Network for Traffic Flow Prediction. Eng. Appl. Artif. Intell. Yinxin Bao, Jiashuang Huang, Qinqin Shen, Yang Cao, Weiping Ding, Zhenquan Shi, Quan Shi
2022	J	`jnl`	A Hybrid Model Integrating Local and Global Spatial Correlation for Traffic Prediction. IEEE Access Siyun Feng, Jiashuang Huang, Qinqin Shen, Quan Shi, Zhenquan Shi
2022	J	`jnl`	Attribute reduction with personalized information granularity of nearest mutual neighbors. Inf. Sci. Hengrong Ju, Weiping Ding, Zhenquan Shi, Jiashuang Huang, Jie Yang, Xibei Yang
2022	J	`jnl`	Consistent connectome landscape mining for cross-site brain disease identification using functional MRI. Medical Image Anal. Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Mingxia Liu, Qingshan Liu
2022	J	`jnl`	GK-BSC: Graph Kernel-Based Brain States Construction With Dynamic Brain Networks and Application to Schizophrenia Identification. IEEE Access Xinyan Yuan, Lingling Gu, Jiashuang Huang
2022	J	`jnl`	Parallel incremental efficient attribute reduction algorithm based on attribute tree. Inf. Sci. Weiping Ding, Tingzhen Qin, Xinjie Shen, Hengrong Ju, Haipeng Wang, Jiashuang Huang, Ming Li
2022	J	`jnl`	RG-GCN: Improved Graph Convolution Neural Network Algorithm Based on Rough Graph. IEEE Access Weiping Ding, Bairu Pan, Hengrong Ju, Jiashuang Huang, Chun Cheng, Xinjie Shen, Yu Geng, Tao Hou
2022	J	`jnl`	SDSCNN: A Hybrid Model Integrating Static and Dynamic Spatial Correlation Neural Network for Traffic Prediction. IEEE Access Junming Dai, Jiashuang Huang, Qinqin Shen, Quan Shi, Siyun Feng, Zhenquan Shi
2021	J	`jnl`	Dual Attention Multi-Instance Deep Learning for Alzheimer's Disease Diagnosis With Structural MRI. IEEE Trans. Medical Imaging Wenyong Zhu, Liang Sun, Jiashuang Huang, Liangxiu Han, Daoqiang Zhang
2021	J	`jnl`	Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI. Medical Image Anal. Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang
2021	—	`conf`	Parallel Pathway Convolutional Neural Network with Low-rank Fusion for Brain Age Prediction. DTPI Xinjie Shen, Jiashuang Huang, Ying Sun, Ming Li, Bairu Pan, Weiping Ding
2020	J	`jnl`	A novel node-level structure embedding and alignment representation of structural networks for brain disease analysis. Medical Image Anal. Jiashuang Huang, Mingliang Wang, Xijia Xu, Biao Jie, Daoqiang Zhang
2020	J	`jnl`	Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis. IEEE Trans. Medical Imaging Jiashuang Huang, Luping Zhou, Lei Wang, Daoqiang Zhang
2020	J	`jnl`	Coherent Pattern in Multi-Layer Brain Networks: Application to Epilepsy Identification. IEEE J. Biomed. Health Informatics Jiashuang Huang, Qi Zhu, Mingliang Wang, Luping Zhou, Zhiqiang Zhang, Daoqiang Zhang
2020	—	`conf`	Hierarchical Representation Learning of Dynamic Brain Networks for Schizophrenia Diagnosis. PRCV (2) Jiashuang Huang, Xu Li, Mingliang Wang, Daoqiang Zhang
2020	J	`jnl`	Hierarchical Structured Sparse Learning for Schizophrenia Identification. Neuroinformatics Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Li Shen, Xijia Xu, Daoqiang Zhang, Mingxia Liu
2020	J	`jnl`	Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation. IEEE Trans. Medical Imaging Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
2020	—	`conf`	Unified Brain Network with Functional and Structural Data. MICCAI (7) Jing Yang, Qi Zhu, Rui Zhang, Jiashuang Huang, Daoqiang Zhang
2019	J	`jnl`	Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease. Bioinform. Meiling Wang, Xiaoke Hao, Jiashuang Huang, Wei Shao, Daoqiang Zhang
2019	A*	`conf`	Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification. AAAI Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang
2019	J	`jnl`	Identifying Resting-State Multifrequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification. IEEE J. Biomed. Health Informatics Jiashuang Huang, Qi Zhu, Xiaoke Hao, Xiaomeng Shi, Shuzhan Gao, Xijia Xu, Daoqiang Zhang
2019	—	`conf`	Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network. MICCAI (3) Jiashuang Huang, Luping Zhou, Lei Wang, Daoqiang Zhang
2019	J	`jnl`	Multi-modal AD classification via self-paced latent correlation analysis. Neurocomputing Qi Zhu, Ning Yuan, Jiashuang Huang, Xiaoke Hao, Daoqiang Zhang
2018	—	`conf`	Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification. MICCAI (1) Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Dinggang Shen, Mingxia Liu
2018	—	`conf`	Node Based Row-Filter Convolutional Neural Network for Brain Network Classification. PRICAI (1) Bingcheng Mao, Jiashuang Huang, Daoqiang Zhang
2018	J	`jnl`	Ordinal Pattern: A New Descriptor for Brain Connectivity Networks. IEEE Trans. Medical Imaging Daoqiang Zhang, Jiashuang Huang, Biao Jie, Junqiang Du, Liyang Tu, Mingxia Liu
2017	—	`conf`	Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease. MICCAI (3) Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Xijia Xu, Daoqiang Zhang
2016	B	`conf`	Sparse representation classification based on difference subspace. CEC Qi Zhu, Qingxiang Feng, Jiashuang Huang, Dan Zhang