| Unsupervised feature selection by self-paced learning regularization W Zheng, X Zhu, G Wen, Y Zhu, H Yu, J Gan Pattern recognition letters 132, 4-11, 2020 | 152 | 2020 |
| Robust SVM with adaptive graph learning R Hu, X Zhu, Y Zhu, J Gan World Wide Web 23, 1945-1968, 2020 | 106 | 2020 |
| Spectral clustering via half-quadratic optimization X Zhu, J Gan, G Lu, J Li, S Zhang World Wide Web 23, 1969-1988, 2020 | 78 | 2020 |
| Reverse graph learning for graph neural network L Peng, R Hu, F Kong, J Gan, Y Mo, X Shi, X Zhu IEEE transactions on neural networks and learning systems, 2022 | 69 | 2022 |
| Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan X Zhu, B Song, F Shi, Y Chen, R Hu, J Gan, W Zhang, M Li, L Wang, ... Medical image analysis 67, 101824, 2021 | 68 | 2021 |
| Multigraph fusion for dynamic graph convolutional network J Gan, R Hu, Y Mo, Z Kang, L Peng, Y Zhu, X Zhu IEEE Transactions on Neural Networks and Learning Systems 35 (1), 196-207, 2022 | 52 | 2022 |
| Brain functional connectivity analysis based on multi-graph fusion J Gan, Z Peng, X Zhu, R Hu, J Ma, G Wu Medical image analysis 71, 102057, 2021 | 48 | 2021 |
| Self-paced learning for k-means clustering algorithm H Yu, G Wen, J Gan, W Zheng, C Lei Pattern Recognition Letters 132, 69-75, 2020 | 47 | 2020 |
| Multi-band brain network analysis for functional neuroimaging biomarker identification R Hu, Z Peng, X Zhu, J Gan, Y Zhu, J Ma, G Wu IEEE transactions on medical imaging 40 (12), 3843-3855, 2021 | 43 | 2021 |
| Multi-task multi-modality SVM for early COVID-19 diagnosis using chest CT data R Hu, J Gan, X Zhu, T Liu, X Shi Information Processing & Management 59 (1), 102782, 2022 | 42 | 2022 |
| Multi-task learning using a hybrid representation for text classification G Lu, J Gan, J Yin, Z Luo, B Li, X Zhao Neural Computing and Applications 32 (11), 6467-6480, 2020 | 24 | 2020 |
| Robust adaptive semi-supervised classification method based on dynamic graph and self-paced learning L Li, K Zhao, J Gan, S Cai, T Liu, H Mu, R Sun Information Processing & Management 58 (1), 102433, 2021 | 19 | 2021 |
| Robust Graph Dimensionality Reduction. X Zhu, C Lei, H Yu, Y Li, J Gan, S Zhang IJCAI, 3257-3263, 2018 | 15 | 2018 |
| Sparse nonlinear feature selection algorithm via local structure learning J Li, G Wen, J Gan, L Zhang, S Zhang Emerging Science Journal 3 (2), 115-129, 2019 | 9 | 2019 |
| Graph convolutional networks of reconstructed graph structure with constrained Laplacian rank M Zhan, J Gan, G Lu, Y Wan Multimedia Tools and Applications 81 (24), 34183-34194, 2022 | 7 | 2022 |
| Sparse learning based on clustering by fast search and find of density peaks P Li, X Deng, L Zhang, J Gan, J Li, Y Li Multimedia Tools and Applications 78, 33261-33277, 2019 | 7 | 2019 |
| Robust SVM for cost-sensitive learning J Gan, J Li, Y Xie Neural Processing Letters, 1-22, 2022 | 6 | 2022 |
| Parameter-free extreme learning machine for imbalanced classification L Li, K Zhao, R Sun, J Gan, G Yuan, T Liu Neural Processing Letters 52, 1927-1944, 2020 | 6 | 2020 |
| Complementary graph representation learning for functional neuroimaging identification R Hu, L Peng, J Gan, X Shi, X Zhu Proceedings of the 30th ACM International Conference on Multimedia, 3385-3393, 2022 | 5 | 2022 |
| Multi-graph Fusion for Functional Neuroimaging Biomarker Detection. J Gan, X Zhu, R Hu, Y Zhu, J Ma, ZW Peng, G Wu IJCAI, 580-586, 2020 | 5 | 2020 |
