| DarkASDNet: classification of ASD on functional MRI using deep neural network MS Ahammed, S Niu, MR Ahmed, J Dong, X Gao, Y Chen Frontiers in Neuroinformatics 15, 635657, 2021 | 46 | 2021 |
| Large margin distribution multi-class supervised novelty detection F Zhu, W Zhang, X Chen, X Gao, N Ye Expert Systems with Applications 224, 119937, 2023 | 39 | 2023 |
| A new predefined-time stability theorem and its application in the synchronization of memristive complex-valued BAM neural networks A Liu, H Zhao, Q Wang, S Niu, X Gao, C Chen, L Li Neural Networks 153, 152-163, 2022 | 35 | 2022 |
| Joint metric learning-based class-specific representation for image set classification X Gao, S Niu, D Wei, X Liu, T Wang, F Zhu, J Dong, Q Sun IEEE Transactions on Neural Networks and Learning Systems, 2022 | 34 | 2022 |
| Sparse and collaborative representation based kernel pairwise linear regression for image set classification X Gao, Q Sun, H Xu, J Gao Expert Systems with Applications 140, 112886, 2020 | 33 | 2020 |
| Multiple rank multi-linear kernel support vector machine for matrix data classification X Gao, L Fan, H Xu International Journal of Machine Learning and Cybernetics 9, 251-261, 2018 | 30 | 2018 |
| Multi-model fusion metric learning for image set classification X Gao, Q Sun, H Xu, D Wei, J Gao Knowledge-Based Systems 164, 253-264, 2019 | 29 | 2019 |
| Prototype learning and collaborative representation using Grassmann manifolds for image set classification D Wei, X Shen, Q Sun, X Gao, W Yan Pattern Recognition 100, 107123, 2020 | 27 | 2020 |
| Constraint-weighted support vector ordinal regression to resist constraint noises F Zhu, X Chen, X Gao, W Ye, H Zhao, AV Vasilakos Information Sciences 649, 119644, 2023 | 25 | 2023 |
| Multiple-rank supervised canonical correlation analysis for feature extraction, fusion and recognition X Gao, Q Sun, H Xu Expert Systems with Applications 84, 171-185, 2017 | 25 | 2017 |
| Neighborhood preserving embedding on Grassmann manifold for image-set analysis D Wei, X Shen, Q Sun, X Gao, Z Ren Pattern Recognition 122, 108335, 2022 | 24 | 2022 |
| MRCCA: A novel CCA based method and its application in feature extraction and fusion for matrix data X Gao, Q Sun, J Yang Applied Soft Computing 62, 45-56, 2018 | 23 | 2018 |
| Two-directional two-dimensional kernel canonical correlation analysis X Gao, S Niu, Q Sun IEEE Signal Processing Letters 26 (11), 1578-1582, 2019 | 20 | 2019 |
| Bag-of-features model for asd fmri classification using svm MS Ahammed, S Niu, MR Ahmed, J Dong, X Gao, Y Chen 2021 Asia-Pacific Conference on Communications Technology and Computer …, 2021 | 17 | 2021 |
| 2D-LPCCA and 2D-SPCCA: Two new canonical correlation methods for feature extraction, fusion and recognition X Gao, Q Sun, H Xu, Y Li Neurocomputing 284, 148-159, 2018 | 17 | 2018 |
| A novel method for classification of matrix data using twin multiple rank SMMs X Gao, L Fan, H Xu Applied Soft Computing 48, 546-562, 2016 | 17 | 2016 |
| A novel time series prediction method based on pooling compressed sensing echo state network and its application in stock market Z Wang, H Zhao, M Zheng, S Niu, X Gao, L Li Neural Networks 164, 216-227, 2023 | 16 | 2023 |
| Discrete metric learning for fast image set classification D Wei, X Shen, Q Sun, X Gao IEEE Transactions on Image Processing 31, 6471-6486, 2022 | 15 | 2022 |
| Exploiting sparse self-representation and particle swarm optimization for CNN compression S Niu, K Gao, P Ma, X Gao, H Zhao, J Dong, Y Chen, D Shen IEEE transactions on neural networks and learning systems 34 (12), 10266-10278, 2022 | 15 | 2022 |
| Adaptive graph guided concept factorization on Grassmann manifold D Wei, X Shen, Q Sun, X Gao, Z Ren Information Sciences 576, 725-742, 2021 | 14 | 2021 |
