Lishan Qiao

62 papers B 1Journal 53Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
GIN-transformer based pairwise graph contrastive learning framework.
Neural Networks
Shufeng Zhou, Lina Zhou, Yueying Zhou, Hongyan Han, Hongxia Zheng, Lishan Qiao
2026 J jnl
GoFormer: A GoLPP inspired transformer for functional brain graph learning and classification.
Neural Networks
Mengxue Pang, Lina Zhou, Xueying Yao, Jun Yang, Jinshan Zhang, Yining Zhang, Limei Zhang, Lishan Qiao
2026 J jnl
Multi-scale interactive pyramid network for polyp segmentation.
Biomed. Signal Process. Control.
Shuo Dai, Xueyan Liu, Lishan Qiao, Xiaoping Yin
2026 J jnl
Prior Distribution Guided Gaussian Mixture Variational Autoencoder (PDGM-VAE) for Image Generation.
IEEE Trans. Circuits Syst. Video Technol.
Jingqi Song, Zhiqiang He, Yipeng Ning, Xiaoming Xi, Jie Guo, Guanzhong Chen, Xiushan Nie, Lishan Qiao, Yilong Yin
2026 J jnl
Transformer with multi-scale Gaussian kernel attention for brain disease diagnosis.
Biomed. Signal Process. Control.
Junji Jiang, Yueying Zhou, Jinshan Zhang, Lishan Qiao
2025 J jnl
A multi-scale, multi-task fusion UNet model for accurate breast tumor segmentation.
Comput. Methods Programs Biomed.
Shuo Dai, Xueyan Liu, Wei Wei, Xiaoping Yin, Lishan Qiao, Jianing Wang, Yu Zhang, Yan Hou
2025 — conf
BrainGACCL: Brain Graph Adaptive Co-contrastive Learning with Universum Samples for fMRI-Based Brain Disease Detection.
ICONIP (3)
Yaru Li, Guangyu Wang, Xiaochuan Wang, Junze Wang, Xiaoming Xi, Shuai Zhang, Limei Zhang, Lishan Qiao, Mingxia Liu
2025 — conf
Cross-Attentioned Dynamic Hierarchical Representation Learning Utilizing Mamba Fusion for Brain Network Analysis.
BIBM
Guangyu Wang, Junze Wang, Yaru Li, Idongesit Ekerete, Huiru Zheng, Lishan Qiao, Limei Zhang
2025 J jnl
Dual Difficulty-Aware Adaptive Pseudo Labeling for Semi-Supervised CNV Segmentation.
IEEE Trans. Circuits Syst. Video Technol.
Jie Guo, Liangyun Sun, Lishan Qiao, Xiushan Nie, Jixin Yang, Weicui Li, Ying Guo, Xiaoming Xi, Xinjian Chen, Yilong Yin
2025 J jnl
GSAformer: Group sparse attention transformer for functional brain network analysis.
Neural Networks
Lina Zhou, Xiao Jiang, Mengxue Pang, Jinshan Zhang, Shuai Zhang, Chris D. Nugent, Lishan Qiao
2025 J jnl
Graph augmentation guided federated knowledge distillation for multisite functional MRI analysis.
Pattern Recognit.
Qianqian Wang, Junhao Zhang, Long Li, Lishan Qiao, Pew-Thian Yap, Mingxia Liu
2025 J jnl
Graph neural network with modular attention for identifying brain disorders.
Biomed. Signal Process. Control.
Wei Si, Guangyu Wang, Lei Liu, Limei Zhang, Lishan Qiao
2025 J jnl
Learning discriminative functional connectivity networks for identifying Autism spectrum disorder.
Biomed. Signal Process. Control.
Mengxue Pang, Lei Liu, Feng Zhao, Bin Fu, Limei Zhang, Lishan Qiao
2025 — conf
MMBNA: Masked Multiview Brain Network Analysis via Disentangling for Alzheimer's Early Diagnosis with fMRI.
MICCAI (12)
Dequan Meng, Jie Guo, Junze Wang, Xiaoming Xi, Lishan Qiao, Limei Zhang, Mingxia Liu
2025 J jnl
Miniformer: A Minimalist Transformer for Brain Functional Networks Analysis.
IEEE J. Biomed. Health Informatics
Yaru Li, Jun Yang, Mengxue Pang, Shuai Zhang, Chris D. Nugent, Mingxia Liu, Lishan Qiao
2025 J jnl
Research on Personalized Recommendation Based on Matrix Factorization, Clustering, and Deep Reinforcement Learning.
IEEE Access
Yuan Jiang, Jinshan Zhang, Lishan Qiao
2024 J jnl
Dynamic functional connections analysis with spectral learning for brain disorder detection.
Artif. Intell. Medicine
Yanfang Xue, Hui Xue, Pengfei Fang, Shipeng Zhu, Lishan Qiao, Yuexuan An
2024 J jnl
Graph Convolutional Network With Self-Supervised Learning for Brain Disease Classification.
IEEE ACM Trans. Comput. Biol. Bioinform.
Guangyu Wang, Ying Chu, Qianqian Wang, Limei Zhang, Lishan Qiao, Mingxia Liu
2024 J jnl
Label-guided low-rank Approximation for functional brain network learning in identifying subcortical vascular cognitive impairment.
Biomed. Signal Process. Control.
Xiao Jiang, Guangyu Wang, Limei Zhang, Xiaoming Xi, Renato De Leone, Lishan Qiao
2024 J jnl
Learning functional brain networks with heterogeneous connectivities for brain disease identification.
Neural Networks
Chaojun Zhang, Yunling Ma, Lishan Qiao, Limei Zhang, Mingxia Liu
2024 J jnl
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI.
IEEE Trans. Biomed. Eng.
Qianqian Wang, Wei Wang, Yuqi Fang, Pew-Thian Yap, Hongtu Zhu, Hong-Jun Li, Lishan Qiao, Mingxia Liu
2024 J jnl
Preserving specificity in federated graph learning for fMRI-based neurological disorder identification.
Neural Networks
Junhao Zhang, Qianqian Wang, Xiaochuan Wang, Lishan Qiao, Mingxia Liu
2023 J jnl
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI.
CoRR
Qianqian Wang, Wei Wang, Yuqi Fang, Pew-Thian Yap, Hongtu Zhu, Hong-Jun Li, Lishan Qiao, Mingxia Liu
2023 — conf
Modularity-Constrained Dynamic Representation Learning for Interpretable Brain Disorder Analysis with Functional MRI.
MICCAI (1)
Qianqian Wang, Mengqi Wu, Yuqi Fang, Wei Wang, Lishan Qiao, Ming-Xia Liu
2023 J jnl
Preserving Specificity in Federated Graph Learning for fMRI-based Neurological Disorder Identification.
CoRR
Junhao Zhang, Qianqian Wang, Xiaochuan Wang, Lishan Qiao, Mingxia Liu
2023 — conf
Specificity-Aware Federated Graph Learning for Brain Disorder Analysis with Functional MRI.
MLMI@MICCAI (2)
Junhao Zhang, Xiaochuan Wang, Qianqian Wang, Lishan Qiao, Mingxia Liu
2023 J jnl
Stabilisation and set stabilisation of periodic switched Boolean control networks.
Int. J. Control
Jianjun Wang, Renato De Leone, Shihua Fu, Jianwei Xia, Lishan Qiao
2023 J jnl
Triple-attention interaction network for breast tumor classification based on multi-modality images.
Pattern Recognit.
Xiao Yang, Xiaoming Xi, Kesong Wang, Liangyun Sun, Lingzhao Meng, Xiushan Nie, Lishan Qiao, Yilong Yin
2023 — conf
Triplet Learning for Chest X-Ray Image Search in Automated COVID-19 Analysis.
MLMI@MICCAI (2)
Linmin Wang, Qianqian Wang, Xiaochuan Wang, Yunling Ma, Lishan Qiao, Mingxia Liu
2022 J jnl
Adaptive Multimodal Neuroimage Integration for Major Depression Disorder Detection.
Frontiers Neuroinformatics
Qianqian Wang, Long Li, Lishan Qiao, Mingxia Liu
2022 J jnl
Estimating high-order brain functional networks by correlation-preserving embedding.
Medical Biol. Eng. Comput.
Hui Su, Limei Zhang, Lishan Qiao, Mingxia Liu
2022 — conf
Function MRI Representation Learning via Self-supervised Transformer for Automated Brain Disorder Analysis.
MLMI@MICCAI
Qianqian Wang, Lishan Qiao, Mingxia Liu
2022 J jnl
Joint selection of brain network nodes and edges for MCI identification.
Comput. Methods Programs Biomed.
Xiao Jiang, Lishan Qiao, Renato De Leone, Dinggang Shen
2022 J jnl
Learning Brain Functional Networks With Latent Temporal Dependency for MCI Identification.
IEEE Trans. Biomed. Eng.
Yanfang Xue, Yining Zhang, Limei Zhang, Seong-Whan Lee, Lishan Qiao, Dinggang Shen
2022 J jnl
Multi-modality relation attention network for breast tumor classification.
Comput. Biol. Medicine
Xiao Yang, Xiaoming Xi, Lu Yang, Chuanzhen Xu, Zuoyong Song, Xiushan Nie, Lishan Qiao, Chenglong Li, Qinglei Shi, Yilong Yin
2021 J jnl
Estimating sparse functional connectivity networks via hyperparameter-free learning model.
Artif. Intell. Medicine
Lei Sun, Yanfang Xue, Yining Zhang, Lishan Qiao, Limei Zhang, Mingxia Liu
2021 J jnl
Event-triggered control design for networked evolutionary games with time invariant delay in strategies.
Int. J. Syst. Sci.
Jianjun Wang, Renato De Leone, Shihua Fu, Jianwei Xia, Lishan Qiao
2021 J jnl
Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI.
Frontiers Neuroinformatics
Ying Chu, Guangyu Wang, Liang Cao, Lishan Qiao, Mingxia Liu
2020 J jnl
Efficient L1/2 Regularization-Based Reconstruction for Photoacoustic Imaging Using Adaptively Iterative Thresholding Algorithm.
J. Medical Imaging Health Informatics
Xueyan Liu, Xu Kong, Lishan Qiao, Jianli Zhao
2020 J jnl
Estimating Functional Connectivity Networks via Low-Rank Tensor Approximation With Applications to MCI Identification.
IEEE Trans. Biomed. Eng.
Xiao Jiang, Limei Zhang, Lishan Qiao, Dinggang Shen
2020 J jnl
Toward a Better Estimation of Functional Brain Network for Mild Cognitive Impairment Identification: A Transfer Learning View.
IEEE J. Biomed. Health Informatics
Weikai Li, Limei Zhang, Lishan Qiao, Dinggang Shen
2019 J jnl
Brain Network Construction and Classification Toolbox (BrainNetClass).
CoRR
Zhen Zhou, Xiaobo Chen, Yu Zhang, Lishan Qiao, Renping Yu, Gang Pan, Han Zhang, Dinggang Shen
2019 J jnl
Functional Brain Network Estimation With Time Series Self-Scrubbing.
IEEE J. Biomed. Health Informatics
Weikai Li, Lishan Qiao, Limei Zhang, Zhengxia Wang, Dinggang Shen
2019 J jnl
Weighted graph regularized sparse brain network construction for MCI identification.
Pattern Recognit.
Renping Yu, Lishan Qiao, Mingming Chen, Seong-Whan Lee, Xuan Fei, Dinggang Shen
2018 J jnl
Data-driven graph construction and graph learning: A review.
Neurocomputing
Lishan Qiao, Limei Zhang, Songcan Chen, Dinggang Shen
2018 J jnl
Simultaneous Estimation of Low- and High-Order Functional Connectivity for Identifying Mild Cognitive Impairment.
Frontiers Neuroinformatics
Yueying Zhou, Lishan Qiao, Weikai Li, Limei Zhang, Dinggang Shen
2017 J jnl
A graph optimization method for dimensionality reduction with pairwise constraints.
Int. J. Mach. Learn. Cybern.
Limei Zhang, Lishan Qiao
2017 J jnl
Remodeling Pearson's Correlation for Functional Brain Network Estimation and Autism Spectrum Disorder Identification.
Frontiers Neuroinformatics
Weikai Li, Zhengxia Wang, Limei Zhang, Lishan Qiao, Dinggang Shen
2017 J jnl
Selecting label-dependent features for multi-label classification.
Neurocomputing
Lishan Qiao, Limei Zhang, Zhonggui Sun, Xueyan Liu
2016 J jnl
Estimating functional brain networks by incorporating a modularity prior.
NeuroImage
Lishan Qiao, Han Zhang, Minjeong Kim, Shenghua Teng, Limei Zhang, Dinggang Shen
2016 J jnl
Human Age Estimation by Considering both the Ordinality and Similarity of Ages.
Neural Process. Lett.
Qing Tian, Hui Xue, Lishan Qiao
2016 J jnl
Ordinal margin metric learning and its extension for cross-distribution image data.
Inf. Sci.
Qing Tian, Songcan Chen, Lishan Qiao
2014 J jnl
A general non-local denoising model using multi-kernel-induced measures.
Pattern Recognit.
Zhonggui Sun, Songcan Chen, Lishan Qiao
2013 J jnl
Dimensionality reduction with adaptive graph.
Frontiers Comput. Sci.
Lishan Qiao, Limei Zhang, Songcan Chen
2012 J jnl
Graph optimization for dimensionality reduction with sparsity constraints.
Pattern Recognit.
Limei Zhang, Songcan Chen, Lishan Qiao
2011 J jnl
Two-stage nonparametric kernel leaning: From label propagation to kernel propagation.
Neurocomputing
Enliang Hu, Songcan Chen, Jiankun Yu, Lishan Qiao
2010 J jnl
An empirical study of two typical locality preserving linear discriminant analysis methods.
Neurocomputing
Lishan Qiao, Limei Zhang, Songcan Chen
2010 J jnl
Graph-optimized locality preserving projections.
Pattern Recognit.
Limei Zhang, Lishan Qiao, Songcan Chen
2010 B conf
Sparse Representation: Extract Adaptive Neighborhood for Multilabel Classification.
PRICAI
Shuo Xiang, Songcan Chen, Lishan Qiao
2010 J jnl
Sparsity preserving discriminant analysis for single training image face recognition.
Pattern Recognit. Lett.
Lishan Qiao, Songcan Chen, Xiaoyang Tan
2010 J jnl
Sparsity preserving projections with applications to face recognition.
Pattern Recognit.
Lishan Qiao, Songcan Chen, Xiaoyang Tan
2009 — conf
Robust faces manifold modeling: Most expressive Vs. most Sparse criterion.
ICCV Workshops
Xiaoyang Tan, Lishan Qiao, Wenjuan Gao, Jun Liu