Robust faces manifold modeling: Most expressive Vs. most Sparse criterion. - Xiaoyang Tan; Lishan Qiao; Wenjuan Gao; Jun Liu 003 (ICCV Workshops, 2009)

Sparse Representation: Extract Adaptive Neighborhood for Multilabel Classification. - Shuo Xiang; Songcan Chen; Lishan Qiao (PRICAI, 2010)

An empirical study of two typical locality preserving linear discriminant analysis methods. - Lishan Qiao; Limei Zhang; Songcan Chen (Neurocomputing, 2010)

Sparsity preserving projections with applications to face recognition. - Lishan Qiao; Songcan Chen; Xiaoyang Tan (Pattern Recognit., 2010)

Graph-optimized locality preserving projections. - Limei Zhang; Lishan Qiao; Songcan Chen (Pattern Recognit., 2010)

Sparsity preserving discriminant analysis for single training image face recognition. - Lishan Qiao; Songcan Chen; Xiaoyang Tan (Pattern Recognit. Lett., 2010)

Two-stage nonparametric kernel leaning: From label propagation to kernel propagation. - Enliang Hu; Songcan Chen; Jiankun Yu; Lishan Qiao (Neurocomputing, 2011)

Graph optimization for dimensionality reduction with sparsity constraints. - Limei Zhang; Songcan Chen; Lishan Qiao (Pattern Recognit., 2012)

Dimensionality reduction with adaptive graph. - Lishan Qiao; Limei Zhang; Songcan Chen (Frontiers Comput. Sci., 2013)

A Two-Step Regularization Framework for Non-Local Means. - Zhong-Gui Sun; Songcan Chen; Li-Shan Qiao (J. Comput. Sci. Technol., 2014)

A general non-local denoising model using multi-kernel-induced measures. - Zhonggui Sun; Songcan Chen; Lishan Qiao (Pattern Recognit., 2014)

Ordinal margin metric learning and its extension for cross-distribution image data. - Qing Tian 002; Songcan Chen; Lishan Qiao (Inf. Sci., 2016)

Estimating functional brain networks by incorporating a modularity prior. - Lishan Qiao; Han Zhang 002; Minjeong Kim; Shenghua Teng; Limei Zhang; Dinggang Shen (NeuroImage, 2016)

Human Age Estimation by Considering both the Ordinality and Similarity of Ages. - Qing Tian 002; Hui Xue 002; Lishan Qiao (Neural Process. Lett., 2016)

Remodeling Pearson's Correlation for Functional Brain Network Estimation and Autism Spectrum Disorder Identification. - Weikai Li 003; Zhengxia Wang; Limei Zhang; Lishan Qiao; Dinggang Shen (Frontiers Neuroinformatics, 2017)

Selecting label-dependent features for multi-label classification. - Lishan Qiao; Limei Zhang; Zhonggui Sun; Xueyan Liu 004 (Neurocomputing, 2017)

A graph optimization method for dimensionality reduction with pairwise constraints. - Limei Zhang; Lishan Qiao (Int. J. Mach. Learn. Cybern., 2017)

Simultaneous Estimation of Low- and High-Order Functional Connectivity for Identifying Mild Cognitive Impairment. - Yueying Zhou; Lishan Qiao; Weikai Li 003; Limei Zhang; Dinggang Shen (Frontiers Neuroinformatics, 2018)

Data-driven graph construction and graph learning: A review. - Lishan Qiao; Limei Zhang; Songcan Chen; Dinggang Shen (Neurocomputing, 2018)

Brain Network Construction and Classification Toolbox (BrainNetClass). - Zhen Zhou 004; Xiaobo Chen 001; Yu Zhang 009; Lishan Qiao; Renping Yu; Gang Pan 001; Han Zhang 002; Dinggang Shen (CoRR, 2019)

Weighted graph regularized sparse brain network construction for MCI identification. - Renping Yu; Lishan Qiao; Mingming Chen; Seong-Whan Lee; Xuan Fei; Dinggang Shen (Pattern Recognit., 2019)

Functional Brain Network Estimation With Time Series Self-Scrubbing. - Weikai Li 003; Lishan Qiao; Limei Zhang; Zhengxia Wang; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2019)

Efficient L1/2 Regularization-Based Reconstruction for Photoacoustic Imaging Using Adaptively Iterative Thresholding Algorithm. - Xueyan Liu 004; Xu Kong; Lishan Qiao; Jianli Zhao (J. Medical Imaging Health Informatics, 2020)

Estimating Functional Connectivity Networks via Low-Rank Tensor Approximation With Applications to MCI Identification. - Xiao Jiang; Limei Zhang; Lishan Qiao; Dinggang Shen (IEEE Trans. Biomed. Eng., 2020)

Toward a Better Estimation of Functional Brain Network for Mild Cognitive Impairment Identification: A Transfer Learning View. - Weikai Li 003; Limei Zhang; Lishan Qiao; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2020)

Estimating sparse functional connectivity networks via hyperparameter-free learning model. - Lei Sun; Yanfang Xue; Yining Zhang; Lishan Qiao; Limei Zhang; Mingxia Liu 001 (Artif. Intell. Medicine, 2021)

Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI. - Ying Chu; Guangyu Wang; Liang Cao; Lishan Qiao; Mingxia Liu 001 (Frontiers Neuroinformatics, 2021)

Event-triggered control design for networked evolutionary games with time invariant delay in strategies. - Jianjun Wang 004; Renato De Leone; Shihua Fu; Jianwei Xia; Lishan Qiao (Int. J. Syst. Sci., 2021)

Function MRI Representation Learning via Self-supervised Transformer for Automated Brain Disorder Analysis. - Qianqian Wang 004; Lishan Qiao; Mingxia Liu 001 (MLMI@MICCAI, 2022)

Multi-modality relation attention network for breast tumor classification. - Xiao Yang; Xiaoming Xi; Lu Yang 005; Chuanzhen Xu; Zuoyong Song; Xiushan Nie; Lishan Qiao; Chenglong Li 004; Qinglei Shi; Yilong Yin (Comput. Biol. Medicine, 2022)

Joint selection of brain network nodes and edges for MCI identification. - Xiao Jiang; Lishan Qiao; Renato De Leone; Dinggang Shen (Comput. Methods Programs Biomed., 2022)

Adaptive Multimodal Neuroimage Integration for Major Depression Disorder Detection. - Qianqian Wang 004; Long Li; Lishan Qiao; Mingxia Liu 001 (Frontiers Neuroinformatics, 2022)

Estimating high-order brain functional networks by correlation-preserving embedding. - Hui Su; Limei Zhang; Lishan Qiao; Mingxia Liu 001 (Medical Biol. Eng. Comput., 2022)

Learning Brain Functional Networks With Latent Temporal Dependency for MCI Identification. - Yanfang Xue; Yining Zhang; Limei Zhang; Seong-Whan Lee; Lishan Qiao; Dinggang Shen (IEEE Trans. Biomed. Eng., 2022)

Modularity-Constrained Dynamic Representation Learning for Interpretable Brain Disorder Analysis with Functional MRI. - Qianqian Wang 004; Mengqi Wu; Yuqi Fang; Wei Wang 411; Lishan Qiao; Ming-Xia Liu 001 (MICCAI (1), 2023)

Triplet Learning for Chest X-Ray Image Search in Automated COVID-19 Analysis. - Linmin Wang; Qianqian Wang 004; Xiaochuan Wang; Yunling Ma; Lishan Qiao; Mingxia Liu 001 (MLMI@MICCAI (2), 2023)

Specificity-Aware Federated Graph Learning for Brain Disorder Analysis with Functional MRI. - Junhao Zhang; Xiaochuan Wang; Qianqian Wang 004; Lishan Qiao; Mingxia Liu 001 (MLMI@MICCAI (2), 2023)

Stabilisation and set stabilisation of periodic switched Boolean control networks. - Jianjun Wang 004; Renato De Leone; Shihua Fu; Jianwei Xia; Lishan Qiao (Int. J. Control, 2023)

Triple-attention interaction network for breast tumor classification based on multi-modality images. - Xiao Yang; Xiaoming Xi; Kesong Wang; Liangyun Sun; Lingzhao Meng; Xiushan Nie; Lishan Qiao; Yilong Yin (Pattern Recognit., 2023)

Dynamic functional connections analysis with spectral learning for brain disorder detection. - Yanfang Xue; Hui Xue 002; Pengfei Fang; Shipeng Zhu; Lishan Qiao; Yuexuan An (Artif. Intell. Medicine, 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 (Biomed. Signal Process. Control., 2024)

Learning functional brain networks with heterogeneous connectivities for brain disease identification. - Chaojun Zhang; Yunling Ma; Lishan Qiao; Limei Zhang; Mingxia Liu 001 (Neural Networks, 2024)

Graph Convolutional Network With Self-Supervised Learning for Brain Disease Classification. - Guangyu Wang; Ying Chu; Qianqian Wang 004; Limei Zhang; Lishan Qiao; Mingxia Liu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Preserving specificity in federated graph learning for fMRI-based neurological disorder identification. - Junhao Zhang; Qianqian Wang 004; Xiaochuan Wang; Lishan Qiao; Mingxia Liu 001 (Neural Networks, 2024)

Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI. - Qianqian Wang 004; Wei Wang 411; Yuqi Fang; Pew-Thian Yap; Hongtu Zhu; Hong-Jun Li; Lishan Qiao; Mingxia Liu 001 (IEEE Trans. Biomed. Eng., 2024)

Learning discriminative functional connectivity networks for identifying Autism spectrum disorder. - Mengxue Pang; Lei Liu; Feng Zhao; Bin Fu; Limei Zhang; Lishan Qiao (Biomed. Signal Process. Control., 2025)

Graph neural network with modular attention for identifying brain disorders. - Wei Si; Guangyu Wang; Lei Liu; Limei Zhang; Lishan Qiao (Biomed. Signal Process. Control., 2025)

A multi-scale, multi-task fusion UNet model for accurate breast tumor segmentation. - Shuo Dai; Xueyan Liu 004; Wei Wei 022; Xiaoping Yin; Lishan Qiao; Jianing Wang; Yu Zhang 009; Yan Hou (Comput. Methods Programs Biomed., 2025)

GSAformer: Group sparse attention transformer for functional brain network analysis. - Lina Zhou; Xiao Jiang; Mengxue Pang; Jinshan Zhang 004; Shuai Zhang 001; Chris D. Nugent; Lishan Qiao (Neural Networks, 2025)

Graph augmentation guided federated knowledge distillation for multisite functional MRI analysis. - Qianqian Wang 004; Junhao Zhang; Long Li; Lishan Qiao; Pew-Thian Yap; Mingxia Liu 001 (Pattern Recognit., 2025)