| Sparsity preserving projections with applications to face recognition L Qiao, S Chen, X Tan Pattern recognition 43 (1), 331-341, 2010 | 1012 | 2010 |
| Graph-optimized locality preserving projections L Zhang, L Qiao, S Chen Pattern Recognition 43 (6), 1993-2002, 2010 | 181 | 2010 |
| Data-driven graph construction and graph learning: A review L Qiao, L Zhang, S Chen, D Shen Neurocomputing 312, 336-351, 2018 | 161 | 2018 |
| Estimating functional brain networks by incorporating a modularity prior L Qiao, H Zhang, M Kim, S Teng, L Zhang, D Shen Neuroimage 141, 399-407, 2016 | 123 | 2016 |
| Sparsity preserving discriminant analysis for single training image face recognition L Qiao, S Chen, X Tan Pattern Recognition Letters 31 (5), 422-429, 2010 | 118 | 2010 |
| Graph optimization for dimensionality reduction with sparsity constraints L Zhang, S Chen, L Qiao Pattern Recognition 45 (3), 1205-1210, 2012 | 98 | 2012 |
| Remodeling Pearson's correlation for functional brain network estimation and autism spectrum disorder identification W Li, Z Wang, L Zhang, L Qiao, D Shen Frontiers in neuroinformatics 11, 55, 2017 | 94 | 2017 |
| A toolbox for brain network construction and classification (BrainNetClass) Z Zhou, X Chen, Y Zhang, D Hu, L Qiao, R Yu, PT Yap, G Pan, H Zhang, ... Human brain mapping 41 (10), 2808-2826, 2020 | 68 | 2020 |
| Weighted graph regularized sparse brain network construction for MCI identification R Yu, L Qiao, M Chen, SW Lee, X Fei, D Shen Pattern recognition 90, 220-231, 2019 | 66 | 2019 |
| Toward a better estimation of functional brain network for mild cognitive impairment identification: a transfer learning view W Li, L Zhang, L Qiao, D Shen IEEE journal of biomedical and health informatics 24 (4), 1160-1168, 2019 | 58 | 2019 |
| Simultaneous estimation of low-and high-order functional connectivity for identifying mild cognitive impairment Y Zhou, L Qiao, W Li, L Zhang, D Shen Frontiers in neuroinformatics 12, 3, 2018 | 51 | 2018 |
| Functional brain network estimation with time series self-scrubbing W Li, L Qiao, L Zhang, Z Wang, D Shen IEEE journal of biomedical and health informatics 23 (6), 2494-2504, 2019 | 42 | 2019 |
| Feature fusion via hierarchical supervised local CCA for diagnosis of autism spectrum disorder F Zhao, L Qiao, F Shi, PT Yap, D Shen Brain imaging and behavior 11, 1050-1060, 2017 | 37 | 2017 |
| Estimating sparse functional connectivity networks via hyperparameter-free learning model L Sun, Y Xue, Y Zhang, L Qiao, L Zhang, M Liu Artificial Intelligence in Medicine 111, 102004, 2021 | 35 | 2021 |
| Estimating functional connectivity networks via low-rank tensor approximation with applications to MCI identification X Jiang, L Zhang, L Qiao, D Shen IEEE Transactions on Biomedical Engineering 67 (7), 1912-1920, 2019 | 33 | 2019 |
| Multi-scale graph representation learning for autism identification with functional MRI Y Chu, G Wang, L Cao, L Qiao, M Liu Frontiers in Neuroinformatics 15, 802305, 2022 | 29 | 2022 |
| Multi-scale dynamic graph learning for brain disorder detection with functional MRI Y Ma, Q Wang, L Cao, L Li, C Zhang, L Qiao, M Liu IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 3501-3512, 2023 | 28 | 2023 |
| Improving sparsity and modularity of high-order functional connectivity networks for MCI and ASD identification Y Zhou, L Zhang, S Teng, L Qiao, D Shen Frontiers in neuroscience 12, 959, 2018 | 27 | 2018 |
| A general non-local denoising model using multi-kernel-induced measures Z Sun, S Chen, L Qiao Pattern recognition 47 (4), 1751-1763, 2014 | 24 | 2014 |
| Selecting label-dependent features for multi-label classification L Qiao, L Zhang, Z Sun, X Liu Neurocomputing 259, 112-118, 2017 | 22 | 2017 |
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceAdresă de e-mail confirmată pe shanghaitech.edu.cn