| Deep learning for generic object detection: A survey L Liu, W Ouyang, X Wang, P Fieguth, J Chen, X Liu, M Pietikäinen International Journal of Computer Vision, 1-58, 2020 | 3875 | 2020 |
| Improved deep embedded clustering with local structure preservation. X Guo, L Gao, X Liu, J Yin Ijcai 17, 1753-1759, 2017 | 1177 | 2017 |
| Deep clustering with convolutional autoencoders X Guo, X Liu, E Zhu, J Yin International conference on neural information processing, 373-382, 2017 | 802 | 2017 |
| In defense of soft-assignment coding L Liu, L Wang, X Liu 2011 International Conference on Computer Vision, 2486-2493, 2011 | 593 | 2011 |
| Multiple Kernel -Means with Incomplete Kernels X Liu, X Zhu, M Li, L Wang, E Zhu, T Liu, M Kloft, D Shen, J Yin, W Gao IEEE transactions on pattern analysis and machine intelligence 42 (5), 1191-1204, 2019 | 519 | 2019 |
| Fast parameter-free multi-view subspace clustering with consensus anchor guidance S Wang, X Liu, X Zhu, P Zhang, Y Zhang, F Gao, E Zhu IEEE Transactions on Image Processing 31, 556-568, 2021 | 463 | 2021 |
| Late fusion incomplete multi-view clustering X Liu, X Zhu, M Li, L Wang, C Tang, J Yin, D Shen, H Wang, W Gao IEEE transactions on pattern analysis and machine intelligence 41 (10), 2410 …, 2018 | 398 | 2018 |
| A survey of knowledge graph reasoning on graph types: Static, dynamic, and multi-modal K Liang, L Meng, M Liu, Y Liu, W Tu, S Wang, S Zhou, X Liu, F Sun, K He IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (12), 9456 …, 2024 | 387* | 2024 |
| Efficient and effective regularized incomplete multi-view clustering X Liu, M Li, C Tang, J Xia, J Xiong, L Liu, M Kloft, E Zhu IEEE transactions on pattern analysis and machine intelligence 43 (8), 2634-2646, 2020 | 356 | 2020 |
| Consensus graph learning for multi-view clustering Z Li, C Tang, X Liu, X Zheng, W Zhang, E Zhu IEEE Transactions on Multimedia 24, 2461-2472, 2021 | 319 | 2021 |
| Scalable multi-view subspace clustering with unified anchors M Sun, P Zhang, S Wang, S Zhou, W Tu, X Liu, E Zhu, C Wang Proceedings of the 29th ACM international conference on multimedia, 3528-3536, 2021 | 317 | 2021 |
| Global and local structure preservation for feature selection X Liu, L Wang, J Zhang, J Yin, H Liu IEEE transactions on neural networks and learning systems 25 (6), 1083-1095, 2013 | 316 | 2013 |
| Deep graph clustering via dual correlation reduction Y Liu, W Tu, S Zhou, X Liu, L Song, X Yang, E Zhu Proceedings of the AAAI conference on artificial intelligence 36 (7), 7603-7611, 2022 | 314 | 2022 |
| 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 | 304 | 2021 |
| Unified one-step multi-view spectral clustering C Tang, Z Li, J Wang, X Liu, W Zhang, E Zhu IEEE Transactions on Knowledge and Data Engineering 35 (6), 6449-6460, 2022 | 302 | 2022 |
| Multi-view clustering via late fusion alignment maximization. S Wang, X Liu, E Zhu, C Tang, J Liu, J Hu, J Xia, J Yin IJCAI, 3778-3784, 2019 | 297 | 2019 |
| Learning a joint affinity graph for multiview subspace clustering C Tang, X Zhu, X Liu, M Li, P Wang, C Zhang, L Wang IEEE Transactions on Multimedia 21 (7), 1724-1736, 2018 | 295 | 2018 |
| Multiple Kernel k-Means Clustering with Matrix-Induced Regularization X Liu, Y Dou, J Yin, L Wang, E Zhu Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 290 | 2016 |
| Efficient one-pass multi-view subspace clustering with consensus anchors S Liu, S Wang, P Zhang, K Xu, X Liu, C Zhang, F Gao Proceedings of the AAAI conference on artificial intelligence 36 (7), 7576-7584, 2022 | 246 | 2022 |
| Multiple kernel extreme learning machine X Liu, L Wang, GB Huang, J Zhang, J Yin Neurocomputing 149, 253-264, 2015 | 231 | 2015 |
Sihang ZhouNUDTVerified email at nudt.edu.cn
