Semi-supervised deep embedded clustering Y Ren*, K Hu, X Dai, L Pan, SCH Hoi, Z Xu Neurocomputing 325, 121-130, 2019 | 181 | 2019 |
Multi-level Feature Learning for Contrastive Multi-view Clustering J Xu, H Tang, Y Ren*, L Peng, X Zhu, L He IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2022 | 140 | 2022 |
Deep Embedded Multi-view Clustering with Collaborative Training J Xu, Y Ren*, G Li, L Pan, C Zhu, Z Xu Information Sciences 573, 279-290, 2021 | 128 | 2021 |
Deep density-based image clustering Y Ren*, N Wang, M Li, Z Xu Knowledge-Based Systems 197, 105841, 2020 | 108 | 2020 |
Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering J Xu, Y Ren*, H Tang, X Pu, X Zhu, M Zeng, L He International Conference on Computer Vision (ICCV), 9234-9243, 2021 | 98 | 2021 |
Self-supervised discriminative feature learning for deep multi-view clustering J Xu, Y Ren*, H Tang, Z Yang, L Pan, Y Yang, X Pu, P Yu, L He IEEE Transactions on Knowledge and Data Engineering (TKDE) 35 (7), 7470-7482, 2023 | 95 | 2023 |
Robust multi-view data clustering with multi-view capped-norm k-means S Huang, Y Ren, Z Xu Neurocomputing 311, 197-208, 2018 | 78 | 2018 |
Preoperative prognostic nutritional index is a powerful predictor of prognosis in patients with stage III ovarian cancer W Zhang, B Ye, W Liang, Y Ren* Scientific reports 7 (1), 1-8, 2017 | 75 | 2017 |
Robust Softmax Regression for Multi-class Classification with Self-Paced Learning Y Ren*, P Zhao, Y Sheng, D Yao, Z Xu International Joint Conference on Artificial Intelligence (IJCAI), 2641-2647, 2017 | 74 | 2017 |
BRWLDA: bi-random walks for predicting lncRNA-disease associations G Yu, G Fu, C Lu, Y Ren, J Wang Oncotarget 8 (36), 60429, 2017 | 71 | 2017 |
Ranking-based Deep Cross-modal Hashing X Liu, G Yu, C Domeniconi, J Wang, Y Ren, M Guo The Thirty-Third AAAI Conference on Artificial Intelligence, 4400-4407, 2019 | 70 | 2019 |
Deep Clustering: A Comprehensive Survey Y Ren*, J Pu, Z Yang, J Xu, G Li, X Pu, PS Yu, L He IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 | 67 | 2024 |
Weighted-object ensemble clustering: methods and analysis Y Ren*, C Domeniconi, G Zhang, G Yu Knowledge and Information Systems 51 (2), 661-689, 2017 | 61 | 2017 |
Deep Incomplete Multi-view Clustering via Mining Cluster Complementarity J Xu, C Li, Y Ren*, L Peng, Y Mo, X Shi, X Zhu AAAI Conference on Artificial Intelligence (AAAI), 2022 | 55 | 2022 |
Regularized nonnegative matrix factorization with adaptive local structure learning S Huang, Z Xu, Z Kang, Y Ren Neurocomputing 382, 196-209, 2020 | 52 | 2020 |
Self-paced and auto-weighted multi-view clustering Y Ren*, S Huang, P Zhao, M Han, Z Xu Neurocomputing 383, 248-256, 2020 | 49 | 2020 |
Protein-protein interactions prediction using a novel local conjoint triad descriptor of amino acid sequences J Wang, L Zhang, L Jia, Y Ren, G Yu International journal of molecular sciences 18 (11), 2373, 2017 | 45 | 2017 |
Local and global structure preserving based feature selection Y Ren*, G Zhang, G Yu, X Li Neurocomputing 89, 147-157, 2012 | 44 | 2012 |
Probability-based Mask R-CNN for pulmonary embolism detection K Long, L Tang, X Pu, Y Ren, M Zheng, L Gao, C Song, S Han, M Zhou, ... Neurocomputing 422, 345-353, 2021 | 42 | 2021 |
Adaptive Feature Projection with Distribution Alignment for Deep Incomplete Multi-view Clustering J Xu, C Li, L Peng, Y Ren, X Shi, HT Shen, X Zhu IEEE Transactions on Image Processing (TIP), 2023 | 41 | 2023 |