Lishan Qiao

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 33

Top Topics

Functional Brain

Pairwise Constraints

Graph Construction

Top Venues

Frontiers Neuroinformatics

Pattern Recognit.

IEEE Trans. Biomed. Eng.

Publications

Qianqian Wang, Wei Wang, Yuqi Fang, Pew-Thian Yap, Hongtu Zhu, Hong-Jun Li, Lishan Qiao, Mingxia Liu
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI. IEEE Trans. Biomed. Eng. 71 (8) (2024)
Junhao Zhang, Qianqian Wang, Xiaochuan Wang, Lishan Qiao, Mingxia Liu
Preserving specificity in federated graph learning for fMRI-based neurological disorder identification. Neural Networks 169 (2024)
Xiao Jiang, Guangyu Wang, Limei Zhang, Xiaoming Xi, Renato De Leone, Lishan Qiao
Label-guided low-rank Approximation for functional brain network learning in identifying subcortical vascular cognitive impairment. Biomed. Signal Process. Control. 98 (2024)
Linmin Wang, Qianqian Wang, Xiaochuan Wang, Yunling Ma, Lishan Qiao, Mingxia Liu
Triplet Learning for Chest X-Ray Image Search in Automated COVID-19 Analysis. MLMI@MICCAI (2) (2023)
Junhao Zhang, Qianqian Wang, Xiaochuan Wang, Lishan Qiao, Mingxia Liu
Preserving Specificity in Federated Graph Learning for fMRI-based Neurological Disorder Identification. CoRR (2023)
Junhao Zhang, Xiaochuan Wang, Qianqian Wang, Lishan Qiao, Mingxia Liu
Specificity-Aware Federated Graph Learning for Brain Disorder Analysis with Functional MRI. MLMI@MICCAI (2) (2023)
Xiao Yang, Xiaoming Xi, Kesong Wang, Liangyun Sun, Lingzhao Meng, Xiushan Nie, Lishan Qiao, Yilong Yin
Triple-attention interaction network for breast tumor classification based on multi-modality images. Pattern Recognit. 139 (2023)
Jianjun Wang, Renato De Leone, Shihua Fu, Jianwei Xia, Lishan Qiao
Stabilisation and set stabilisation of periodic switched Boolean control networks. Int. J. Control 96 (3) (2023)
Qianqian Wang, Wei Wang, Yuqi Fang, Pew-Thian Yap, Hongtu Zhu, Hong-Jun Li, Lishan Qiao, Mingxia Liu
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI. CoRR (2023)
Qianqian Wang, Mengqi Wu, Yuqi Fang, Wei Wang, Lishan Qiao, Ming-Xia Liu
Modularity-Constrained Dynamic Representation Learning for Interpretable Brain Disorder Analysis with Functional MRI. MICCAI (1) (2023)
Xiao Jiang, Lishan Qiao, Renato De Leone, Dinggang Shen
Joint selection of brain network nodes and edges for MCI identification. Comput. Methods Programs Biomed. 225 (2022)
Qianqian Wang, Long Li, Lishan Qiao, Mingxia Liu
Adaptive Multimodal Neuroimage Integration for Major Depression Disorder Detection. Frontiers Neuroinformatics 16 (2022)
Xiao Yang, Xiaoming Xi, Lu Yang, Chuanzhen Xu, Zuoyong Song, Xiushan Nie, Lishan Qiao, Chenglong Li, Qinglei Shi, Yilong Yin
Multi-modality relation attention network for breast tumor classification. Comput. Biol. Medicine 150 (2022)
Qianqian Wang, Lishan Qiao, Mingxia Liu
Function MRI Representation Learning via Self-supervised Transformer for Automated Brain Disorder Analysis. MLMI@MICCAI (2022)
Yanfang Xue, Yining Zhang, Limei Zhang, Seong-Whan Lee, Lishan Qiao, Dinggang Shen
Learning Brain Functional Networks With Latent Temporal Dependency for MCI Identification. IEEE Trans. Biomed. Eng. 69 (2) (2022)
Hui Su, Limei Zhang, Lishan Qiao, Mingxia Liu
Estimating high-order brain functional networks by correlation-preserving embedding. Medical Biol. Eng. Comput. 60 (10) (2022)
Jianjun Wang, Renato De Leone, Shihua Fu, Jianwei Xia, Lishan Qiao
Event-triggered control design for networked evolutionary games with time invariant delay in strategies. Int. J. Syst. Sci. 52 (3) (2021)
Ying Chu, Guangyu Wang, Liang Cao, Lishan Qiao, Mingxia Liu
Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI. Frontiers Neuroinformatics 15 (2021)
Lei Sun, Yanfang Xue, Yining Zhang, Lishan Qiao, Limei Zhang, Mingxia Liu
Estimating sparse functional connectivity networks via hyperparameter-free learning model. Artif. Intell. Medicine 111 (2021)
Weikai Li, Limei Zhang, Lishan Qiao, Dinggang Shen
Toward a Better Estimation of Functional Brain Network for Mild Cognitive Impairment Identification: A Transfer Learning View. IEEE J. Biomed. Health Informatics 24 (4) (2020)
Xueyan Liu, Xu Kong, Lishan Qiao, Jianli Zhao
Efficient L1/2 Regularization-Based Reconstruction for Photoacoustic Imaging Using Adaptively Iterative Thresholding Algorithm. J. Medical Imaging Health Informatics 10 (7) (2020)
Xiao Jiang, Limei Zhang, Lishan Qiao, Dinggang Shen
Estimating Functional Connectivity Networks via Low-Rank Tensor Approximation With Applications to MCI Identification. IEEE Trans. Biomed. Eng. 67 (7) (2020)
Zhen Zhou, Xiaobo Chen, Yu Zhang, Lishan Qiao, Renping Yu, Gang Pan, Han Zhang, Dinggang Shen
Brain Network Construction and Classification Toolbox (BrainNetClass). CoRR (2019)
Renping Yu, Lishan Qiao, Mingming Chen, Seong-Whan Lee, Xuan Fei, Dinggang Shen
Weighted graph regularized sparse brain network construction for MCI identification. Pattern Recognit. 90 (2019)
Weikai Li, Lishan Qiao, Limei Zhang, Zhengxia Wang, Dinggang Shen
Functional Brain Network Estimation With Time Series Self-Scrubbing. IEEE J. Biomed. Health Informatics 23 (6) (2019)
Lishan Qiao, Limei Zhang, Songcan Chen, Dinggang Shen
Data-driven graph construction and graph learning: A review. Neurocomputing 312 (2018)
Yueying Zhou, Lishan Qiao, Weikai Li, Limei Zhang, Dinggang Shen
Simultaneous Estimation of Low- and High-Order Functional Connectivity for Identifying Mild Cognitive Impairment. Frontiers Neuroinformatics 12 (2018)
Lishan Qiao, Limei Zhang, Zhonggui Sun, Xueyan Liu
Selecting label-dependent features for multi-label classification. Neurocomputing 259 (2017)
Limei Zhang, Lishan Qiao
A graph optimization method for dimensionality reduction with pairwise constraints. Int. J. Mach. Learn. Cybern. 8 (1) (2017)
Weikai Li, Zhengxia Wang, Limei Zhang, Lishan Qiao, Dinggang Shen
Remodeling Pearson's Correlation for Functional Brain Network Estimation and Autism Spectrum Disorder Identification. Frontiers Neuroinformatics 11 (2017)
Qing Tian, Songcan Chen, Lishan Qiao
Ordinal margin metric learning and its extension for cross-distribution image data. Inf. Sci. (2016)
Lishan Qiao, Han Zhang, Minjeong Kim, Shenghua Teng, Limei Zhang, Dinggang Shen
Estimating functional brain networks by incorporating a modularity prior. NeuroImage 141 (2016)
Qing Tian, Hui Xue, Lishan Qiao
Human Age Estimation by Considering both the Ordinality and Similarity of Ages. Neural Process. Lett. 43 (2) (2016)
Zhonggui Sun, Songcan Chen, Lishan Qiao
A general non-local denoising model using multi-kernel-induced measures. Pattern Recognit. 47 (4) (2014)
Lishan Qiao, Limei Zhang, Songcan Chen
Dimensionality reduction with adaptive graph. Frontiers Comput. Sci. 7 (5) (2013)
Limei Zhang, Songcan Chen, Lishan Qiao
Graph optimization for dimensionality reduction with sparsity constraints. Pattern Recognit. 45 (3) (2012)
Enliang Hu, Songcan Chen, Jiankun Yu, Lishan Qiao
Two-stage nonparametric kernel leaning: From label propagation to kernel propagation. Neurocomputing 74 (17) (2011)
Limei Zhang, Lishan Qiao, Songcan Chen
Graph-optimized locality preserving projections. Pattern Recognit. 43 (6) (2010)
Lishan Qiao, Songcan Chen, Xiaoyang Tan
Sparsity preserving projections with applications to face recognition. Pattern Recognit. 43 (1) (2010)
Shuo Xiang, Songcan Chen, Lishan Qiao
Sparse Representation: Extract Adaptive Neighborhood for Multilabel Classification. PRICAI (2010)
Lishan Qiao, Songcan Chen, Xiaoyang Tan
Sparsity preserving discriminant analysis for single training image face recognition. Pattern Recognit. Lett. 31 (5) (2010)
Lishan Qiao, Limei Zhang, Songcan Chen
An empirical study of two typical locality preserving linear discriminant analysis methods. Neurocomputing 73 (10-12) (2010)
Xiaoyang Tan, Lishan Qiao, Wenjuan Gao, Jun Liu
Robust faces manifold modeling: Most expressive Vs. most Sparse criterion. ICCV Workshops (2009)