Lishan Qiao

According to our database, Lishan Qiao authored at least 41 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

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

Neural Networks, January, 2024

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., July, 2023

Stabilisation and set stabilisation of periodic switched Boolean control networks.

Jianjun Wang, Renato De Leone, Shihua Fu, Jianwei Xia, Lishan Qiao

Int. J. Control, March, 2023

Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI.

Qianqian Wang, Wei Wang, Yuqi Fang, Pew-Thian Yap, Hongtu Zhu, Hong-Jun Li, Lishan Qiao, Mingxia Liu

CoRR, 2023

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

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

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Triplet Learning for Chest X-Ray Image Search in Automated COVID-19 Analysis.

Linmin Wang, Qianqian Wang, Xiaochuan Wang, Yunling Ma, Lishan Qiao, Mingxia Liu

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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

Estimating high-order brain functional networks by correlation-preserving embedding.

Hui Su, Limei Zhang, Lishan Qiao, Mingxia Liu

Medical Biol. Eng. Comput., 2022

Adaptive Multimodal Neuroimage Integration for Major Depression Disorder Detection.

Qianqian Wang, Long Li, Lishan Qiao, Mingxia Liu

Frontiers Neuroinformatics, 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

Multi-modality relation attention network for breast tumor classification.

Xiao Yang, Xiaoming Xi, Lu Yang, Chuanzhen Xu, Zuoyong Song, Xiushan Nie, Lishan Qiao, Chenglong Li, Qinglei Shi, Yilong Yin

Comput. Biol. Medicine, 2022

Function MRI Representation Learning via Self-supervised Transformer for Automated Brain Disorder Analysis.

Qianqian Wang, Lishan Qiao, Mingxia Liu

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

2021

Event-triggered control design for networked evolutionary games with time invariant delay in strategies.

Jianjun Wang, Renato De Leone, Shihua Fu, Jianwei Xia, Lishan Qiao

Int. J. Syst. Sci., 2021

Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI.

Ying Chu, Guangyu Wang, Liang Cao, Lishan Qiao, Mingxia Liu

Frontiers Neuroinformatics, 2021

Estimating sparse functional connectivity networks via hyperparameter-free learning model.

Lei Sun, Yanfang Xue, Yining Zhang, Lishan Qiao, Limei Zhang, Mingxia Liu

Artif. Intell. Medicine, 2021

2020

Toward a Better Estimation of Functional Brain Network for Mild Cognitive Impairment Identification: A Transfer Learning View.

Weikai Li, Limei Zhang, Lishan Qiao, Dinggang Shen

IEEE J. Biomed. 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

Efficient L1/2 Regularization-Based Reconstruction for Photoacoustic Imaging Using Adaptively Iterative Thresholding Algorithm.

Xueyan Liu, Xu Kong, Lishan Qiao, Jianli Zhao

J. Medical Imaging Health Informatics, 2020

2019

Functional Brain Network Estimation With Time Series Self-Scrubbing.

Weikai Li, Lishan Qiao, Limei Zhang, Zhengxia Wang, Dinggang Shen

IEEE J. Biomed. Health Informatics, 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

Brain Network Construction and Classification Toolbox (BrainNetClass).

Zhen Zhou, Xiaobo Chen, Yu Zhang, Lishan Qiao, Renping Yu, Gang Pan, Han Zhang, Dinggang Shen

CoRR, 2019

2018

Data-driven graph construction and graph learning: A review.

Lishan Qiao, Limei Zhang, Songcan Chen, Dinggang Shen

Neurocomputing, 2018

Simultaneous Estimation of Low- and High-Order Functional Connectivity for Identifying Mild Cognitive Impairment.

Yueying Zhou, Lishan Qiao, Weikai Li, Limei Zhang, Dinggang Shen

Frontiers Neuroinformatics, 2018

2017

A graph optimization method for dimensionality reduction with pairwise constraints.

Limei Zhang, Lishan Qiao

Int. J. Mach. Learn. Cybern., 2017

Selecting label-dependent features for multi-label classification.

Lishan Qiao, Limei Zhang, Zhonggui Sun, Xueyan Liu

Neurocomputing, 2017

Remodeling Pearson's Correlation for Functional Brain Network Estimation and Autism Spectrum Disorder Identification.

Weikai Li, Zhengxia Wang, Limei Zhang, Lishan Qiao, Dinggang Shen

Frontiers Neuroinformatics, 2017

2016

Human Age Estimation by Considering both the Ordinality and Similarity of Ages.

Qing Tian, Hui Xue, Lishan Qiao

Neural Process. Lett., 2016

Estimating functional brain networks by incorporating a modularity prior.

Lishan Qiao, Han Zhang, Minjeong Kim, Shenghua Teng, Limei Zhang, Dinggang Shen

NeuroImage, 2016

Ordinal margin metric learning and its extension for cross-distribution image data.

Qing Tian, Songcan Chen, Lishan Qiao

Inf. Sci., 2016

2014

A general non-local denoising model using multi-kernel-induced measures.

Zhonggui Sun, Songcan Chen, Lishan Qiao

Pattern Recognit., 2014

A Two-Step Regularization Framework for Non-Local Means.

Zhong-Gui Sun, Songcan Chen, Li-Shan Qiao

J. Comput. Sci. Technol., 2014

2013

Dimensionality reduction with adaptive graph.

Lishan Qiao, Limei Zhang, Songcan Chen

Frontiers Comput. Sci., 2013

2012

Graph optimization for dimensionality reduction with sparsity constraints.

Limei Zhang, Songcan Chen, Lishan Qiao

Pattern Recognit., 2012

2011

Two-stage nonparametric kernel leaning: From label propagation to kernel propagation.

Enliang Hu, Songcan Chen, Jiankun Yu, Lishan Qiao

Neurocomputing, 2011

2010

Sparsity preserving discriminant analysis for single training image face recognition.

Lishan Qiao, Songcan Chen, Xiaoyang Tan

Pattern Recognit. Lett., 2010

Graph-optimized locality preserving projections.

Limei Zhang, Lishan Qiao, Songcan Chen

Pattern Recognit., 2010

Sparsity preserving projections with applications to face recognition.

Lishan Qiao, Songcan Chen, Xiaoyang Tan

Pattern Recognit., 2010

An empirical study of two typical locality preserving linear discriminant analysis methods.

Lishan Qiao, Limei Zhang, Songcan Chen

Neurocomputing, 2010

Sparse Representation: Extract Adaptive Neighborhood for Multilabel Classification.

Shuo Xiang, Songcan Chen, Lishan Qiao

Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

2009

Robust faces manifold modeling: Most expressive Vs. most Sparse criterion.

Xiaoyang Tan, Lishan Qiao, Wenjuan Gao, Jun Liu

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009