| Multi-view spectral clustering via sparse graph learning Z Hu, F Nie, W Chang, S Hao, R Wang, X Li Neurocomputing 384, 1-10, 2020 | 89 | 2020 |
| Robust subspace clustering with low-rank structure constraint F Nie, W Chang, Z Hu, X Li IEEE Transactions on Knowledge and Data Engineering 34 (3), 1404-1415, 2020 | 23 | 2020 |
| Learning an optimal bipartite graph for subspace clustering via constrained Laplacian rank F Nie, W Chang, R Wang, X Li IEEE Transactions on Cybernetics 53 (2), 1235-1247, 2021 | 19 | 2021 |
| Adaptive-order proximity learning for graph-based clustering D Wu, W Chang, J Lu, F Nie, R Wang, X Li Pattern Recognition 126, 108550, 2022 | 18 | 2022 |
| New tight relaxations of rank minimization for multi-task learning W Chang, F Nie, R Wang, X Li Proceedings of the 30th ACM International Conference on Information …, 2021 | 8 | 2021 |
| Self-weighted learning framework for adaptive locality discriminant analysis W Chang, F Nie, Z Wang, R Wang, X Li Pattern Recognition 129, 108778, 2022 | 6 | 2022 |
| Robust subspace clustering by learning an optimal structured bipartite graph via low-rank representation W Chang, F Nie, R Wang, X Li ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 6 | 2019 |
| Multitask learning for classification problem via new tight relaxation of rank minimization W Chang, F Nie, Y Zhi, R Wang, X Li IEEE Transactions on Neural Networks and Learning Systems 34 (9), 6055-6068, 2021 | 5 | 2021 |
| Calibrated multi-task subspace learning via binary group structure constraint W Chang, F Nie, R Wang, X Li Information Sciences 631, 271-287, 2023 | 2 | 2023 |
| Adaptive feature weight learning for robust clustering problem with sparse constraint F Nie, W Chang, X Li, J Xu, G Li ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 1 | 2021 |
| Elaborate multi-task subspace learning with discrete group constraint W Chang, F Nie, R Wang, X Li Pattern Recognition 139, 109515, 2023 | | 2023 |
Feiping NieOPTIMALVerified email at mails.tsinghua.edu.cn
Feiping NieOPTIMALVerified email at mails.tsinghua.edu.cn