| Convergence rate of kernel canonical correlation analysis JC H. Sun Science China Mathematics 54, 2161-2170, 2011 | 25 | 2011 |
| Modified sparse linear-discriminant analysis via nonconvex penalties J Cai, X Huang IEEE transactions on neural networks and learning systems 29 (10), 4957-4966, 2018 | 18 | 2018 |
| Kernel canonical correlation analysis via gradient descent JC YiTang, Jianjun Wang Neurocomputing 182, 322-331, 2016 | 16 | 2016 |
| ℓ0-based sparse canonical correlation analysis with application to cross-language document retrieval J Cai, W Dan, X Zhang Neurocomputing 329, 32-45, 2019 | 15 | 2019 |
| Gradient learning in a classification setting by gradient descent Jia Cai, Hongyan Wang, Ding-Xuan Zhou Journal of Approximation Theory 161 (2), 674-692, 2009 | 14 | 2009 |
| A new randomized Kaczmarz based kernel canonical correlation analysis algorithm with applications to information retrieval JC Yi Tang Neural Networks 98, 178-191, 2018 | 9 | 2018 |
| Robust kernel canonical correlation analysis with applications to information retrieval JC Xiaolin Huang Engineering Applications of Artificial Intelligence 64, 33-42, 2017 | 9 | 2017 |
| Convergence analysis of coefficient-based regularization under moment incremental condition C Wang, J Cai International Journal of Wavelets, Multiresolution and Information …, 2014 | 6 | 2014 |
| Coefficient-Based Regression with Non-Identical Unbounded Sampling J Cai Abstract and Applied Analysis 2013, 2013 | 5 | 2013 |
| Constrained ERM Learning of Canonical Correlation Analysis: A Least Squares Perspective JC Hongwei Sun Neural Computation 29, 2825–2859, 2017 | 4 | 2017 |
| Kernel-based conditional canonical correlation analysis via modified Tikhonov regularization JC Hongwei Sun Applied and Computational Harmonic Analysis 41, 692-712, 2016 | 4 | 2016 |
| The distance between feature subspaces of kernel canonical correlation analysis J Cai Mathematical and Computer Modelling 57 (3-4), 970-975, 2013 | 4 | 2013 |
| A Novel biologically inspired approach for clustering and multi-level image thresholding: Modified Harris hawks optimizer J Cai, T Luo, G Xu, Y Tang Cognitive Computation 14 (3), 955-969, 2022 | 3 | 2022 |
| Sparse generalized canonical correlation analysis via linearized Bregman method. J Cai, J Huo Communications on Pure & Applied Analysis 19 (8), 2020 | 3 | 2020 |
| Multi-scale Graph Convolutional Networks with Self-Attention Z Xiong, J Cai arXiv preprint arXiv:2112.03262, 2021 | 2 | 2021 |
| An operator approach to analysis of conditional kernel canonical correlation J Cai International Journal of Wavelets Multiresolution and Information Processing …, 2015 | 2 | 2015 |
| WAD-CMSN: Wasserstein distance-based cross-modal semantic network for zero-shot sketch-based image retrieval G Xu, Z Hu, J Cai International Journal of Wavelets, Multiresolution and Information …, 2023 | 1 | 2023 |
| Deep heterogeneous graph neural networks via similarity regularization loss and hierarchical fusion Z Xiong, J Cai 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 759-768, 2022 | 1 | 2022 |
| Self-attention Based Multi-scale Graph Convolutional Networks Z Xiong, J Cai International Conference on Neural Information Processing, 418-430, 2022 | 1 | 2022 |
| SStaGCN: Simplified stacking based graph convolutional networks J Cai, Z Xiong, S Lv arXiv preprint arXiv:2111.08228, 2021 | 1 | 2021 |
