| Multi-view adaptive semi-supervised feature selection with the self-paced learning C Shi, Z Gu, C Duan, Q Tian Signal Processing 168, 107332, 2020 | 32 | 2020 |
| Semi-supervised feature selection analysis with structured multi-view sparse regularization C Shi, C Duan, Z Gu, Q Tian, G An, R Zhao Neurocomputing 330, 412-424, 2019 | 31 | 2019 |
| ONION: Joint unsupervised feature selection and robust subspace extraction for graph-based multi-view clustering Z Gu, S Feng, R Hu, G Lyu ACM Transactions on Knowledge Discovery from Data 17 (5), 1-23, 2023 | 8 | 2023 |
| Individuality meets commonality: A unified graph learning framework for multi-view clustering Z Gu, S Feng ACM Transactions on Knowledge Discovery from Data 17 (1), 1-21, 2023 | 6 | 2023 |
| Triple-Granularity Contrastive Learning for Deep Multi-View Subspace Clustering J Wang, S Feng, G Lyu, Z Gu Proceedings of the 31st ACM International Conference on Multimedia, 2994-3002, 2023 | 4 | 2023 |
| Diversity-induced consensus and structured graph learning for multi-view clustering Z Gu, H Liu, S Feng Applied Intelligence 53 (10), 12237-12251, 2023 | 2 | 2023 |
| A Unified Framework for Graph-based Multi-view Partial Multi-label Learning J Yuan, W Liu, Z Gu, S Feng IEEE Access, 2023 | 1 | 2023 |
| NOODLE: Joint Cross-View Discrepancy Discovery and High-Order Correlation Detection for Multi-View Subspace Clustering Z Gu, S Feng, Z Li, J Yuan, J Liu ACM Transactions on Knowledge Discovery from Data 18 (6), 1-23, 2024 | | 2024 |
| One-step graph-based incomplete multi-view clustering B Zhou, J Ji, Z Gu, Z Zhou, G Ding, S Feng Multimedia Systems 30 (1), 32, 2024 | | 2024 |
Songhe FengProfessor in School of Computer Science and Technology, Beijing Jiaotong UniversityVerified email at bjtu.edu.cn
