| A multi-organ nucleus segmentation challenge N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ... IEEE transactions on medical imaging 39 (5), 1380-1391, 2019 | 454 | 2019 |
| High-resolution encoder–decoder networks for low-contrast medical image segmentation S Zhou, D Nie, E Adeli, J Yin, J Lian, D Shen IEEE Transactions on Image Processing 29, 461-475, 2019 | 203 | 2019 |
| 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 | 201 | 2021 |
| 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 | 183 | 2022 |
| Deep Fusion Clustering Network JC Wenxuan Tu*, Sihang Zhou*, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9978-9987, 2021 | 172 | 2021 |
| Consensus one-step multi-view subspace clustering P Zhang, X Liu, J Xiong, S Zhou, W Zhao, E Zhu, Z Cai IEEE Transactions on Knowledge and Data Engineering 34 (10), 4676-4689, 2020 | 155 | 2020 |
| Optimal neighborhood kernel clustering with multiple kernels X Liu, S Zhou, Y Wang, M Li, Y Dou, E Zhu, J Yin Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 137 | 2017 |
| Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation S Zhou, X Liu, M Li, E Zhu, C Zhang, J Yin IEEE Transactions on Neural Networks and Learning Systems 31 (4), 1351 - 1362, 2019 | 128 | 2019 |
| Highly-efficient incomplete large-scale multi-view clustering with consensus bipartite graph S Wang, X Liu, L Liu, W Tu, X Zhu, J Liu, S Zhou, E Zhu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 122 | 2022 |
| Simple contrastive graph clustering Y Liu, X Yang, S Zhou, X Liu, S Wang, K Liang, W Tu, L Li IEEE Transactions on Neural Networks and Learning Systems, 2023 | 118 | 2023 |
| CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation S Wang, K He, D Nie, S Zhou, Y Gao, D Shen Medical image analysis 54, 168-178, 2019 | 103 | 2019 |
| Hard sample aware network for contrastive deep graph clustering Y Liu, X Yang, S Zhou, X Liu, Z Wang, K Liang, W Tu, L Li, J Duan, ... Proceedings of the AAAI conference on artificial intelligence 37 (7), 8914-8922, 2023 | 99 | 2023 |
| Late fusion multiple kernel clustering with proxy graph refinement S Wang, X Liu, L Liu, S Zhou, E Zhu IEEE Transactions on Neural Networks and Learning Systems 34 (8), 4359-4370, 2021 | 92 | 2021 |
| Cluster-guided contrastive graph clustering network X Yang, Y Liu, S Zhou, S Wang, W Tu, Q Zheng, X Liu, L Fang, E Zhu Proceedings of the AAAI conference on artificial intelligence 37 (9), 10834 …, 2023 | 88 | 2023 |
| Reasoning over different types of knowledge graphs: Static, temporal and multi-modal K Liang, L Meng, M Liu, Y Liu, W Tu, S Wang, S Zhou, X Liu, F Sun arXiv preprint arXiv:2212.05767 3, 2022 | 83 | 2022 |
| Optimal neighborhood multiple kernel clustering with adaptive local kernels J Liu, X Liu, J Xiong, Q Liao, S Zhou, S Wang, Y Yang IEEE Transactions on Knowledge and Data Engineering 34 (6), 2872-2885, 2020 | 79 | 2020 |
| Self-representation subspace clustering for incomplete multi-view data J Liu, X Liu, Y Zhang, P Zhang, W Tu, S Wang, S Zhou, W Liang, S Wang, ... Proceedings of the 29th ACM international conference on multimedia, 2726-2734, 2021 | 78 | 2021 |
| Knowledge graph contrastive learning based on relation-symmetrical structure K Liang, Y Liu, S Zhou, W Tu, Y Wen, X Yang, X Dong, X Liu IEEE Transactions on Knowledge and Data Engineering 36 (1), 226-238, 2023 | 77 | 2023 |
| 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, 2024 | 75 | 2024 |
| Multi-view clustering via deep matrix factorization and partition alignment C Zhang, S Wang, J Liu, S Zhou, P Zhang, X Liu, E Zhu, C Zhang Proceedings of the 29th ACM international conference on multimedia, 4156-4164, 2021 | 73 | 2021 |
Xinwang LiuSenior Member of IEEE and CCF, NUDTnudt.edu.cn의 이메일 확인됨