乔立山｜山东建筑大学｜学者主页

2026

AdapHBNA: Adaptive hierarchical spatio-temporal brain network analysis for brain disease detection

Jun-Ze Wang, Guangyu Wang, Dequan Meng, Ya-Ru Li, Xiaoming Xi, Lishan Qiao, Lina Xu, Limei Zhang

Neural Networks

DOI

2026

MetaEEG-load: A unified MAML-enhanced framework for cross-subject cognitive load classification

Yueying Zhou, Shanshan Liang, Pengpai Wang, Shufeng Zhou, Junji Jiang, Xiujin Ma, Lishan Qiao

Biomedical Signal Processing and Control

DOI

2026

Adaptive hierarchical graph learning and fusion for brain disease identification

Yueying Zhou, Junji Jiang, Hengsheng Tang, Pengpai Wang, Shufeng Zhou, Lishan Qiao

Neurocomputing

DOI

2026

Cross-Subject Cognitive Load Recognition via Meta-Learning

Shanshan Liang, Yueying Zhou, Shufeng Zhou, Lishan Qiao

DOI

2026

Contrastive Learning-Based Multi-Atlas Feature Fusion for Brain Disorder Diagnosis

Lina Zhou, Yueying Zhou, Yunling Ma, Lishan Qiao

IEEE Journal of Biomedical and Health Informatics

DOI

2026

GIN-transformer based pairwise graph contrastive learning framework

Shufeng Zhou, Lina Zhou, Yueying Zhou, Hongyan Han, Hongxia Zheng, Lishan Qiao

Neural Networks

DOI

2025

MMBNA: Masked Multiview Brain Network Analysis via Disentangling for Alzheimer's Early Diagnosis with fMRI

Dequan Meng, Jie Guo, Jun-Ze Wang, Xiao-Ming Xi, Lishan Qiao, Limei Zhang, Ming-Xia Liu

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2025

BrainGACCL: Brain Graph Adaptive Co-contrastive Learning with Universum Samples for fMRI-Based Brain Disease Detection

Ya-Ru Li, Guangyu Wang, Xiaochuan Wang, Jun-Ze Wang, Xiao-Ming Xi, Shuai Zhang, Limei Zhang, Lishan Qiao, Ming-Xia Liu

International Conference on Neural Information Processing

DOI

2025

Miniformer: A Minimalist Transformer for Brain Functional Networks Analysis

Ya-Ru Li, Jun Yang, Mengxue Pang, Shuai Zhang, Chris Nugent, Ming-Xia Liu, Lishan Qiao

IEEE journal of biomedical and health informatics

DOI

2025

Graph augmentation guided federated knowledge distillation for multisite functional MRI analysis

Qianqian Wang, Junhao Zhang, Long Li, Lishan Qiao, P. Yap, Ming-Xia Liu

Pattern Recognition

DOI

2025

Cross-Attentioned Dynamic Hierarchical Representation Learning Utilizing Mamba Fusion for Brain Network Analysis

Guangyu Wang, Jun-Ze Wang, Ya-Ru Li, Idongesit Ekerete, Huiru Zheng, Lishan Qiao, Limei Zhang

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2025

Learning discriminative functional connectivity networks for identifying Autism spectrum disorder

Mengxue Pang, Lei Liu, Fengjie Zhao, Bin Fu, Limei Zhang, Lishan Qiao

Biomedical Signal Processing and Control

DOI

2025

Graph neural network with modular attention for identifying brain disorders

Wei Si, Guangyu Wang, Lei Liu, Limei Zhang, Lishan Qiao

Biomedical Signal Processing and Control

DOI

2025

GoFormer: A GoLPP inspired transformer for functional brain graph learning and classification

Mengxue Pang, Lina Zhou, Xueying Yao, Jun Yang, Jinshan Zhang, Yining Zhang, Limei Zhang, Lishan Qiao

Neural Networks

DOI

2025

Transformer with multi-scale Gaussian kernel attention for brain disease diagnosis

Junji Jiang, Yueying Zhou, Jinshan Zhang, Lishan Qiao

Biomedical Signal Processing and Control

DOI

2025

GSAformer: Group sparse attention transformer for functional brain network analysis

Lina Zhou, Xiao Jiang, Mengxue Pang, Jinshan Zhang, Shuai Zhang, Chris Nugent, Lishan Qiao

Neural Networks

DOI

2025

LDST-Net: A Spatiotemporal Framework Based on Learnable Dynamic Graph for Brain Disease Diagnosis

Junji Jiang, Yueying Zhou, Hongyu Chen, Lishan Qiao

DOI

2024

Graph Convolutional Network With Self-Supervised Learning for Brain Disease Classification

Guangyu Wang, Ying Chu, Qianqian Wang, Limei Zhang, Lishan Qiao, Ming-Xia Liu

IEEE/ACM Transactions on Computational Biology & Bioinformatics

DOI

2024

Learning functional brain networks with heterogeneous connectivities for brain disease identification

Chao-Jun Zhang, Yun-Ling Ma, Lishan Qiao, Limei Zhang, Ming-Xia Liu

Neural Networks

DOI

2024

Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI

Qianqian Wang, Wei Wang, Yuqi Fang, Pew‐Thian Yap, Hongtu Zhu B, Hongjun Li, Lishan Qiao, Mingxia Liu

IEEE Transactions on Biomedical Engineering

DOI

2024

Label-guided low-rank Approximation for functional brain network learning in identifying subcortical vascular cognitive impairment

Xiao Jiang, Guangyu Wang, Limei Zhang, Xiaoming Xi, Renato De Leone, Lishan Qiao

Biomedical Signal Processing and Control

DOI

2023

An end-to-end seizure prediction approach using long short-term memory network

Xiao Wu, Zhaohui Yang, Tinglin Zhang, Limei Zhang, Lishan Qiao

Frontiers In Human Neuroscience，Vol. 17

DOI

2023

Specificity-Aware Federated Graph Learning for Brain Disorder Analysis with Functional MRI

Junhao Zhang, Xiaochuan Wang, Qianqian Wang, Lishan Qiao, Ming-Xia Liu

MLMI@MICCAI

DOI

2023

Modularity-Constrained Dynamic Representation Learning for Interpretable Brain Disorder Analysis with Functional MRI

Qianqian Wang, Mengqi Wu, Yuqi Fang, Wei Wang, Lishan Qiao, Ming-Xia Liu

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2023

Preserving specificity in federated graph learning for fMRI-based neurological disorder identification

Junhao Zhang, Qianqian Wang, Xiaochuan Wang, Lishan Qiao, Mingxia Liu

Neural Networks

DOI

2023

The effect of node features on GCN-based brain network classification: an empirical study

Guangyu Wang, Limei Zhang, Lishan Qiao

PeerJ

DOI

2023

Multi-Scale Dynamic Graph Learning for Brain Disorder Detection With Functional MRI

Yunling Ma, Qianqian Wang, Liang Cao, Long Li, Chaojun Zhang, Lishan Qiao, Mingxia Liu

IEEE Transactions on Neural Systems and Rehabilitation Engineering

DOI

2022

Accurate Module Induced Brain Network Construction for Mild Cognitive Impairment Identification with Functional MRI

Yue Du, Chengcheng Wang, Yangyang Zhang, Lishan Qiao, Limei Zhang, Ming-Xia Liu

Social Science Research Network

DOI

2022

Joint selection of brain network nodes and edges for MCI identification

Xiao Jiang, Lishan Qiao, Renato De Leone, Dinggang G. Shen

Computer Methods and Programs in Biomedicine

DOI

2022

Estimating High-Order Brain Functional Networks in Bayesian View for Autism Spectrum Disorder Identification

Xiao Jiang, Yueying Zhou, Yining Zhang, Limei Zhang, Lishan Qiao, Renato De Leone

Frontiers in Neuroscience

DOI

2020

自适应功能连接网络学习及其在脑疾病识别中的应用

孙磊，张义宁，薛艳芳，乔立山，张丽梅

《中国科学技术大学学报》

2014

A Two-Step Regularization Framework for Non-Local Means

孙忠贵，陈松灿，乔立山

Journal of Computer Science & Technology

2010

基于变换空间近邻图的自助型局部保持投影(英文)

乔立山，张丽梅，孙忠贵

Transactions of Nanjing University of Aeronautics and Astronautics

2010

基于相关向量机的图像阈值技术

乔立山，陈松灿，王敏

《计算机研究与发展》

2010

一种基于相关向量机的白细胞检出新方法(英文)

王敏，乔立山

Transactions of Nanjing University of Aeronautics and Astronautics

2009

基于张量模式的特征提取及分类器设计综述

张丽梅，乔立山，陈松灿

《山东大学学报(工学版)》

2009

二值形态运算的感知器模型及其应用

乔立山，张丽梅

《数学的实践与认识》

2009

基于图的降维技术研究及应用

乔立山

《南京航空航天大学》

2005

数学形态学运算的再定义及其神经网络实现

乔立山，王玉兰

《计算机仿真》

2004

基于神经网络的数学形态学研究及应用

乔立山

《成都理工大学》

精选作品

期刊论文

AdapHBNA: Adaptive hierarchical spatio-temporal brain network analysis for brain disease detection

MetaEEG-load: A unified MAML-enhanced framework for cross-subject cognitive load classification

Adaptive hierarchical graph learning and fusion for brain disease identification

Cross-Subject Cognitive Load Recognition via Meta-Learning

Contrastive Learning-Based Multi-Atlas Feature Fusion for Brain Disorder Diagnosis

GIN-transformer based pairwise graph contrastive learning framework

MMBNA: Masked Multiview Brain Network Analysis via Disentangling for Alzheimer's Early Diagnosis with fMRI

BrainGACCL: Brain Graph Adaptive Co-contrastive Learning with Universum Samples for fMRI-Based Brain Disease Detection

Miniformer: A Minimalist Transformer for Brain Functional Networks Analysis

Graph augmentation guided federated knowledge distillation for multisite functional MRI analysis

Cross-Attentioned Dynamic Hierarchical Representation Learning Utilizing Mamba Fusion for Brain Network Analysis

Learning discriminative functional connectivity networks for identifying Autism spectrum disorder

Graph neural network with modular attention for identifying brain disorders

GoFormer: A GoLPP inspired transformer for functional brain graph learning and classification

Transformer with multi-scale Gaussian kernel attention for brain disease diagnosis

GSAformer: Group sparse attention transformer for functional brain network analysis

LDST-Net: A Spatiotemporal Framework Based on Learnable Dynamic Graph for Brain Disease Diagnosis

Graph Convolutional Network With Self-Supervised Learning for Brain Disease Classification

Learning functional brain networks with heterogeneous connectivities for brain disease identification

Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI

Label-guided low-rank Approximation for functional brain network learning in identifying subcortical vascular cognitive impairment

An end-to-end seizure prediction approach using long short-term memory network

Specificity-Aware Federated Graph Learning for Brain Disorder Analysis with Functional MRI

Modularity-Constrained Dynamic Representation Learning for Interpretable Brain Disorder Analysis with Functional MRI

Preserving specificity in federated graph learning for fMRI-based neurological disorder identification

The effect of node features on GCN-based brain network classification: an empirical study

Multi-Scale Dynamic Graph Learning for Brain Disorder Detection With Functional MRI

Accurate Module Induced Brain Network Construction for Mild Cognitive Impairment Identification with Functional MRI

Joint selection of brain network nodes and edges for MCI identification

Estimating High-Order Brain Functional Networks in Bayesian View for Autism Spectrum Disorder Identification

自适应功能连接网络学习及其在脑疾病识别中的应用

A Two-Step Regularization Framework for Non-Local Means

基于变换空间近邻图的自助型局部保持投影(英文)

基于相关向量机的图像阈值技术

一种基于相关向量机的白细胞检出新方法(英文)

基于张量模式的特征提取及分类器设计综述

二值形态运算的感知器模型及其应用

基于图的降维技术研究及应用

数学形态学运算的再定义及其神经网络实现

基于神经网络的数学形态学研究及应用

研究方向