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2020 – today
- 2024
[j37]Yanfang Xue
, Hui Xue, Pengfei Fang, Shipeng Zhu, Lishan Qiao, Yuexuan An:
Dynamic functional connections analysis with spectral learning for brain disorder detection. Artif. Intell. Medicine 157: 102984 (2024)- [j36]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: 106766 (2024) - [j35]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: 584-596 (2024) - [j34]Chaojun Zhang, Yunling Ma, Lishan Qiao, Limei Zhang, Mingxia Liu:
Learning functional brain networks with heterogeneous connectivities for brain disease identification. Neural Networks 180: 106660 (2024) - [j33]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): 2391-2401 (2024) - 2023
- [j32]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): 699-710 (2023) - [j31]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: 109526 (2023) - [c6]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: 46-56 - [c5]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: 43-52 - [c4]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: 407-416 - [i3]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 abs/2306.14080 (2023) - [i2]Junhao Zhang, Qianqian Wang, Xiaochuan Wang, Lishan Qiao, Mingxia Liu:
Preserving Specificity in Federated Graph Learning for fMRI-based Neurological Disorder Identification. CoRR abs/2308.10302 (2023) - 2022
- [j30]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: 106210 (2022) - [j29]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: 107082 (2022) - [j28]Qianqian Wang, Long Li, Lishan Qiao, Mingxia Liu:
Adaptive Multimodal Neuroimage Integration for Major Depression Disorder Detection. Frontiers Neuroinformatics 16: 856175 (2022) - [j27]Hui Su, Limei Zhang, Lishan Qiao, Mingxia Liu:
Estimating high-order brain functional networks by correlation-preserving embedding. Medical Biol. Eng. Comput. 60(10): 2813-2823 (2022) - [j26]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): 590-601 (2022) - [c3]Qianqian Wang, Lishan Qiao, Mingxia Liu:
Function MRI Representation Learning via Self-supervised Transformer for Automated Brain Disorder Analysis. MLMI@MICCAI 2022: 1-10 - 2021
- [j25]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: 102004 (2021) - [j24]Ying Chu, Guangyu Wang, Liang Cao, Lishan Qiao, Mingxia Liu:
Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI. Frontiers Neuroinformatics 15: 802305 (2021) - [j23]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): 493-504 (2021) - 2020
- [j22]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): 1506-1514 (2020) - [j21]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): 1912-1920 (2020) - [j20]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): 1160-1168 (2020)
2010 – 2019
- 2019
- [j19]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: 220-231 (2019) - [j18]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): 2494-2504 (2019) - [i1]Zhen Zhou, Xiaobo Chen, Yu Zhang, Lishan Qiao, Renping Yu, Gang Pan, Han Zhang, Dinggang Shen:
Brain Network Construction and Classification Toolbox (BrainNetClass). CoRR abs/1906.09908 (2019) - 2018
- [j17]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: 3 (2018) - [j16]Lishan Qiao, Limei Zhang, Songcan Chen, Dinggang Shen:
Data-driven graph construction and graph learning: A review. Neurocomputing 312: 336-351 (2018) - 2017
- [j15]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: 55 (2017) - [j14]Lishan Qiao, Limei Zhang, Zhonggui Sun, Xueyan Liu:
Selecting label-dependent features for multi-label classification. Neurocomputing 259: 112-118 (2017) - [j13]Limei Zhang, Lishan Qiao:
A graph optimization method for dimensionality reduction with pairwise constraints. Int. J. Mach. Learn. Cybern. 8(1): 275-281 (2017) - 2016
- [j12]Qing Tian, Songcan Chen, Lishan Qiao:
Ordinal margin metric learning and its extension for cross-distribution image data. Inf. Sci. 349-350: 50-64 (2016) - [j11]Lishan Qiao, Han Zhang, Minjeong Kim, Shenghua Teng, Limei Zhang, Dinggang Shen:
Estimating functional brain networks by incorporating a modularity prior. NeuroImage 141: 399-407 (2016) - [j10]Qing Tian, Hui Xue, Lishan Qiao:
Human Age Estimation by Considering both the Ordinality and Similarity of Ages. Neural Process. Lett. 43(2): 505-521 (2016) - 2014
- [j9]Zhong-Gui Sun, Songcan Chen, Li-Shan Qiao:
A Two-Step Regularization Framework for Non-Local Means. J. Comput. Sci. Technol. 29(6): 1026-1037 (2014) - [j8]Zhonggui Sun, Songcan Chen, Lishan Qiao:
A general non-local denoising model using multi-kernel-induced measures. Pattern Recognit. 47(4): 1751-1763 (2014) - 2013
- [j7]Lishan Qiao, Limei Zhang, Songcan Chen:
Dimensionality reduction with adaptive graph. Frontiers Comput. Sci. 7(5): 745-753 (2013) - 2012
- [j6]Limei Zhang, Songcan Chen, Lishan Qiao:
Graph optimization for dimensionality reduction with sparsity constraints. Pattern Recognit. 45(3): 1205-1210 (2012) - 2011
- [j5]Enliang Hu, Songcan Chen, Jiankun Yu, Lishan Qiao:
Two-stage nonparametric kernel leaning: From label propagation to kernel propagation. Neurocomputing 74(17): 2725-2733 (2011) - 2010
- [j4]Lishan Qiao, Limei Zhang, Songcan Chen:
An empirical study of two typical locality preserving linear discriminant analysis methods. Neurocomputing 73(10-12): 1587-1594 (2010) - [j3]Lishan Qiao, Songcan Chen, Xiaoyang Tan:
Sparsity preserving projections with applications to face recognition. Pattern Recognit. 43(1): 331-341 (2010) - [j2]Limei Zhang, Lishan Qiao, Songcan Chen:
Graph-optimized locality preserving projections. Pattern Recognit. 43(6): 1993-2002 (2010) - [j1]Lishan Qiao, Songcan Chen, Xiaoyang Tan:
Sparsity preserving discriminant analysis for single training image face recognition. Pattern Recognit. Lett. 31(5): 422-429 (2010) - [c2]Shuo Xiang, Songcan Chen, Lishan Qiao:
Sparse Representation: Extract Adaptive Neighborhood for Multilabel Classification. PRICAI 2010: 304-314
2000 – 2009
- 2009
- [c1]Xiaoyang Tan, Lishan Qiao, Wenjuan Gao, Jun Liu:
Robust faces manifold modeling: Most expressive Vs. most Sparse criterion. ICCV Workshops 2009: 139-146
Coauthor Index
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