| Improved deep embedded clustering with local structure preservation. X Guo, L Gao, X Liu, J Yin Ijcai 17, 1753-1759, 2017 | 956 | 2017 |
| Deep clustering with convolutional autoencoders X Guo, X Liu, E Zhu, J Yin Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 678 | 2017 |
| A survey of clustering with deep learning: From the perspective of network architecture E Min, X Guo, Q Liu, G Zhang, J Cui, J Long IEEE Access 6, 39501-39514, 2018 | 652 | 2018 |
| Deep fusion clustering network W Tu, S Zhou, X Liu, X Guo, Z Cai, E Zhu, J Cheng Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9978-9987, 2021 | 172 | 2021 |
| Deep embedded clustering with data augmentation X Guo, E Zhu, X Liu, J Yin Asian conference on machine learning, 550-565, 2018 | 130 | 2018 |
| Adaptive self-paced deep clustering with data augmentation X Guo, X Liu, E Zhu, X Zhu, M Li, X Xu, J Yin IEEE Transactions on Knowledge and Data Engineering 32 (9), 1680-1693, 2019 | 127 | 2019 |
| Multiview subspace clustering via co-training robust data representation J Liu, X Liu, Y Yang, X Guo, M Kloft, L He IEEE Transactions on Neural Networks and Learning Systems 33 (10), 5177-5189, 2021 | 111 | 2021 |
| International conference on neural information processing X Guo, X Liu, E Zhu, J Yin Guangzhou, China: Springer,, 2017 | 100 | 2017 |
| Walking to singular points of fingerprints E Zhu, X Guo, J Yin Pattern Recognition 56, 116-128, 2016 | 57 | 2016 |
| Projective multiple kernel subspace clustering M Sun, S Wang, P Zhang, X Liu, X Guo, S Zhou, E Zhu IEEE Transactions on Multimedia 24, 2567-2579, 2021 | 54 | 2021 |
| Multi-view spectral clustering with optimal neighborhood Laplacian matrix S Zhou, X Liu, J Liu, X Guo, Y Zhao, E Zhu, Y Zhai, J Yin, W Gao Proceedings of the AAAI conference on artificial intelligence 34 (04), 6965-6972, 2020 | 53 | 2020 |
| An efficient and robust unsupervised anomaly detection method using ensemble random projection in surveillance videos J Hu, E Zhu, S Wang, X Liu, X Guo, J Yin Sensors 19 (19), 4145, 2019 | 41 | 2019 |
| Adaptive weighted graph fusion incomplete multi-view subspace clustering P Zhang, S Wang, J Hu, Z Cheng, X Guo, E Zhu, Z Cai Sensors 20 (20), 5755, 2020 | 27 | 2020 |
| Anchor-based multiview subspace clustering with diversity regularization Q Ou, S Wang, S Zhou, M Li, X Guo, E Zhu IEEE MultiMedia 27 (4), 91-101, 2020 | 27 | 2020 |
| Deep embedding for determining the number of clusters Y Wang, Z Shi, X Guo, X Liu, E Zhu, J Yin Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 27 | 2018 |
| Deep graph clustering with multi-level subspace fusion W Li, S Wang, X Guo, E Zhu Pattern Recognition 134, 109077, 2023 | 19 | 2023 |
| Affine Equivariant Autoencoder. X Guo, E Zhu, X Liu, J Yin IJCAI, 2413-2419, 2019 | 19 | 2019 |
| A fast and accurate method for detecting fingerprint reference point X Guo, E Zhu, J Yin Neural Computing and Applications 29, 21-31, 2018 | 18 | 2018 |
| Incomplete multiview clustering via late fusion Y Ye, X Liu, Q Liu, X Guo, J Yin Computational intelligence and neuroscience 2018 (1), 6148456, 2018 | 13 | 2018 |
| HEp-2 cell image classification method based on very deep convolutional networks with small datasets M Lu, L Gao, X Guo, Q Liu, J Yin Ninth International Conference on Digital Image Processing (ICDIP 2017 …, 2017 | 12 | 2017 |
Xinwang LiuSenior Member of IEEE and CCF, NUDTnudt.edu.cn의 이메일 확인됨