| Low-rank sparse subspace for spectral clustering X Zhu, S Zhang, Y Li, J Zhang, L Yang, Y Fang IEEE Transactions on Knowledge and Data Engineering 31 (8), 1532-1543, 2018 | 212 | 2018 |
| One-step spectral clustering via dynamically learning affinity matrix and subspace X Zhu, W He, Y Li, Y Yang, S Zhang, R Hu, Y Zhu Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence …, 2017 | 26 | 2017 |
| Unsupervised feature selection by combining subspace learning with feature self-representation Y Li, C Lei, Y Fang, R Hu, Y Li, S Zhang Pattern Recognition Letters 109, 35-43, 2018 | 21 | 2018 |
| Spectral clustering based on hypergraph and self-re-presentation Y Li, S Zhang, D Cheng, W He, G Wen, Q Xie Multimedia Tools and Applications 76 (16), 17559-17576, 2017 | 17 | 2017 |
| Robust Graph Dimensionality Reduction. X Zhu, C Lei, H Yu, Y Li, J Gan, S Zhang IJCAI, 3257-3263, 2018 | 15 | 2018 |
| Leverage triple relational structures via low-rank feature reduction for multi-output regression S Zhang, L Yang, Z Deng, D Cheng, Y Li Multimedia Tools and Applications 76 (16), 17461-17477, 2017 | 11 | 2017 |
| Review of Research on Human Trust in Artificial Intelligence Y Li, J Hahn | 8 | 2022 |
| Sparse Graph Connectivity for Image Segmentation X Zhu, S Zhang, J Zhang, Y Li, G Lu, Y Yang ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (4), 1-19, 2020 | 4 | 2020 |
| Efficient subspace clustering based on self-representation and grouping effect S Zhang, Y Li, D Cheng, Z Deng, L Yang Neural Computing and Applications 29 (1), 51-59, 2018 | 4 | 2018 |
| Sequential Pattern Learning via Kernel Alignment M Cheng, W Yang, Y Li, S Zhang, AC Tsoi, YY Tang 2019 Eleventh International Conference on Advanced Computational …, 2019 | 3 | 2019 |
| Low-rank feature reduction and sample selection for multi-output regression S Zhang, L Yang, Y Li, Y Luo, X Zhu International Conference on Advanced Data Mining and Applications, 126-141, 2016 | 3 | 2016 |
| Unsupervised spectral feature selection with local structure learning S Zhang, Y Fang, C Lei, Y Li, R Hu, Y Li 2017 IEEE International Conference on Big Knowledge (ICBK), 303-308, 2017 | 1 | 2017 |
| Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints W He, X Zhu, Y Li, R Hu, Y Zhu, S Zhang International Conference on Advanced Data Mining and Applications, 172-187, 2016 | 1 | 2016 |
| Hypergraph Spectral Clustering via Sample Self-Representation. S Zhang, Y Li, DB Cheng, ZY Deng FSDM, 334-340, 2016 | | 2016 |
| Low-rank sparse subspace for spectral clustering.(2018) X ZHU, S ZHANG, Y LI, J ZHANG, L YANG, Y FANG IEEE Transactions on Knowledge and Data Engineering, 1-12, 0 | | |
