| Incomplete multi-modal visual data grouping. H Zhao, H Liu, Y Fu IJCAI, 2392-2398, 2016 | 319 | 2016 |
| K-means-based consensus clustering: A unified view J Wu, H Liu, H Xiong, J Cao, J Chen IEEE transactions on knowledge and data engineering 27 (1), 155-169, 2014 | 264 | 2014 |
| Spectral ensemble clustering via weighted k-means: Theoretical and practical evidence H Liu, J Wu, T Liu, D Tao, Y Fu IEEE transactions on knowledge and data engineering 29 (5), 1129-1143, 2017 | 219 | 2017 |
| Selfdoc: Self-supervised document representation learning P Li, J Gu, J Kuen, VI Morariu, H Zhao, R Jain, V Manjunatha, H Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 185 | 2021 |
| Spectral ensemble clustering H Liu, T Liu, J Wu, D Tao, Y Fu Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 172 | 2015 |
| From ensemble clustering to multi-view clustering Z Tao, H Liu, S Li, Z Ding, Y Fu IJCAI, 2017 | 162 | 2017 |
| On dyadic fairness: Exploring and mitigating bias in graph connections P Li, Y Wang, H Zhao, P Hong, H Liu International Conference on Learning Representations, 2021 | 142 | 2021 |
| Visual kinship recognition of families in the wild JP Robinson, M Shao, Y Wu, H Liu, T Gillis, Y Fu IEEE Transactions on pattern analysis and machine intelligence 40 (11), 2624 …, 2018 | 123 | 2018 |
| Consensus regularized multi-view outlier detection H Zhao, H Liu, Z Ding, Y Fu IEEE Transactions on Image Processing 27 (1), 236-248, 2017 | 123 | 2017 |
| Infinite ensemble for image clustering H Liu, M Shao, S Li, Y Fu Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 116 | 2016 |
| Marginalized multiview ensemble clustering Z Tao, H Liu, S Li, Z Ding, Y Fu IEEE transactions on neural networks and learning systems 31 (2), 600-611, 2019 | 109 | 2019 |
| Clustering with outlier removal H Liu, J Li, Y Wu, Y Fu IEEE transactions on knowledge and data engineering 33 (6), 2369-2379, 2019 | 103 | 2019 |
| Entropy-based consensus clustering for patient stratification H Liu, R Zhao, H Fang, F Cheng, Y Fu, YY Liu Bioinformatics 33 (17), 2691-2698, 2017 | 98 | 2017 |
| Adversarial graph embedding for ensemble clustering Z Tao, H Liu, J Li, Z Wang, Y Fu International Joint Conferences on Artificial Intelligence Organization, 2019 | 82 | 2019 |
| Robust spectral ensemble clustering Z Tao, H Liu, S Li, Y Fu Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 81 | 2016 |
| Deep fair clustering for visual learning P Li, H Zhao, H Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 80 | 2020 |
| Deep face recognition with center invariant loss Y Wu, H Liu, J Li, Y Fu Proceedings of the on Thematic Workshops of ACM Multimedia 2017, 408-414, 2017 | 76 | 2017 |
| Image cosegmentation via saliency-guided constrained clustering with cosine similarity Z Tao, H Liu, H Fu, Y Fu Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 76 | 2017 |
| Marginalized latent semantic encoder for zero-shot learning Z Ding, H Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 72 | 2019 |
| Achieving fairness at no utility cost via data reweighing with influence P Li, H Liu International Conference on Machine Learning, 12917-12930, 2022 | 69 | 2022 |
