| Partial multi-view clustering via consistent GAN Q Wang, Z Ding, Z Tao, Q Gao, Y Fu 2018 IEEE International Conference on Data Mining (ICDM), 1290-1295, 2018 | 137 | 2018 |
| Deep adversarial multi-view clustering network. Z Li, Q Wang, Z Tao, Q Gao, Z Yang IJCAI 2 (3), 4, 2019 | 131 | 2019 |
| Multi-view attribute graph convolution networks for clustering J Cheng, Q Wang, Z Tao, D Xie, Q Gao Proceedings of the twenty-ninth international conference on international …, 2021 | 117 | 2021 |
| -Norm Based PCA for Image Recognition Q Wang, Q Gao, X Gao, F Nie IEEE Transactions on Image Processing 27 (3), 1336-1346, 2017 | 106 | 2017 |
| Deep multi-view subspace clustering with unified and discriminative learning Q Wang, J Cheng, Q Gao, G Zhao, L Jiao IEEE Transactions on Multimedia 23, 3483-3493, 2020 | 101 | 2020 |
| Tensorized bipartite graph learning for multi-view clustering W Xia, Q Gao, Q Wang, X Gao, C Ding, D Tao IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 5187-5202, 2022 | 83 | 2022 |
| Generative partial multi-view clustering with adaptive fusion and cycle consistency Q Wang, Z Ding, Z Tao, Q Gao, Y Fu IEEE Transactions on Image Processing 30, 1771-1783, 2021 | 82 | 2021 |
| Self-supervised graph convolutional network for multi-view clustering W Xia, Q Wang, Q Gao, X Zhang, X Gao IEEE Transactions on Multimedia 24, 3182-3192, 2021 | 74 | 2021 |
| Representative task self-selection for flexible clustered lifelong learning G Sun, Y Cong, Q Wang, B Zhong, Y Fu IEEE Transactions on Neural Networks and Learning Systems 33 (4), 1467-1481, 2020 | 63 | 2020 |
| Continuously processing waste lignin into high-value carbon nanotube fibers F Liu, Q Wang, G Zhai, H Xiang, J Zhou, C Jia, L Zhu, Q Wu, M Zhu Nature Communications 13 (1), 5755, 2022 | 47 | 2022 |
| Angle Principal Component Analysis. Q Wang, Q Gao, X Gao, F Nie IJCAI, 2936-2942, 2017 | 46 | 2017 |
| ICMSC: Incomplete cross-modal subspace clustering Q Wang, H Lian, G Sun, Q Gao, L Jiao IEEE Transactions on Image Processing 30, 305-317, 2020 | 43 | 2020 |
| Tensor completion-based incomplete multiview clustering W Xia, Q Gao, Q Wang, X Gao IEEE Transactions on Cybernetics 52 (12), 13635-13644, 2022 | 42 | 2022 |
| Cross-modal subspace clustering via deep canonical correlation analysis Q Gao, H Lian, Q Wang, G Sun Proceedings of the AAAI Conference on artificial intelligence 34 (04), 3938-3945, 2020 | 41 | 2020 |
| Adaptive latent similarity learning for multi-view clustering D Xie, Q Gao, Q Wang, X Zhang, X Gao Neural Networks 121, 409-418, 2020 | 39 | 2020 |
| Adversarial multiview clustering networks with adaptive fusion Q Wang, Z Tao, W Xia, Q Gao, X Cao, L Jiao IEEE transactions on neural networks and learning systems, 2022 | 38 | 2022 |
| Optimal mean two-dimensional principal component analysis with F-norm minimization Q Wang, Q Gao, X Gao, F Nie Pattern recognition 68, 286-294, 2017 | 38 | 2017 |
| Multi-view projected clustering with graph learning Q Gao, Z Wan, Y Liang, Q Wang, Y Liu, L Shao Neural Networks 126, 335-346, 2020 | 34 | 2020 |
| Dimensionality reduction by integrating sparse representation and Fisher criterion and its applications Q Gao, Q Wang, Y Huang, X Gao, X Hong, H Zhang IEEE Transactions on Image Processing 24 (12), 5684-5695, 2015 | 34 | 2015 |
| Robust DLPP With Nongreedy -Norm Minimization and Maximization Q Wang, Q Gao, D Xie, X Gao, Y Wang IEEE transactions on neural networks and learning systems 29 (3), 738-743, 2016 | 33 | 2016 |
Quanxue GaoXidian UniversityVerified email at xidian.edu.cn
