A new formulation of linear discriminant analysis for robust dimensionality reduction H Zhao, Z Wang, F Nie
IEEE Transactions on Knowledge and Data Engineering 31 (4), 629-640, 2018
110 2018 Towards Robust Discriminative Projections Learning via Non-Greedy F Nie, Z Wang, R Wang, Z Wang, X Li
IEEE transactions on pattern analysis and machine intelligence 43 (6), 2086-2100, 2019
85 2019 Discriminative Feature Selection via A Structured Sparse Subspace Learning Module Z Wang, F Nie, L Tian, R Wang, X Li
IJCAI 2020, 2020
81 2020 Subspace Sparse Discriminative Feature Selection F Nie, Z Wang, L Tian, R Wang, X Li
IEEE Transactions on Cybernetics, 2020
71 2020 Adaptive local linear discriminant analysis F Nie, Z Wang, R Wang, Z Wang, X Li
ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (1), 1-19, 2020
66 2020 Submanifold-preserving discriminant analysis with an auto-optimized graph F Nie, Z Wang, R Wang, X Li
IEEE Transactions on Cybernetics, 2019
64 2019 Orthogonal least squares regression for feature extraction H Zhao, Z Wang, F Nie
Neurocomputing 216, 200-207, 2016
50 2016 Curriculum audiovisual learning D Hu, Z Wang, H Xiong, D Wang, F Nie, D Dou
arXiv preprint arXiv:2001.09414, 2020
46 2020 Adaptive local embedding learning for semi-supervised dimensionality reduction F Nie, Z Wang, R Wang, X Li
IEEE Transactions on Knowledge and Data Engineering 34 (10), 4609-4621, 2021
44 2021 Local structured feature learning with dynamic maximum entropy graph Z Wang, F Nie, R Wang, H Yang, X Li
Pattern Recognition 111, 107673, 2020
34 2020 Joint anchor graph embedding and discrete feature scoring for unsupervised feature selection Z Wang, D Wu, R Wang, F Nie, F Wang
IEEE Transactions on Neural Networks and Learning Systems, 2022
26 2022 Sparse trace ratio LDA for supervised feature selection Z Li, F Nie, D Wu, Z Wang, X Li
IEEE transactions on cybernetics 54 (4), 2420-2433, 2023
25 2023 Sparse and flexible projections for unsupervised feature selection R Wang, C Zhang, J Bian, Z Wang, F Nie, X Li
IEEE Transactions on Knowledge and Data Engineering 35 (6), 6362-6375, 2022
22 2022 Geometric-inspired graph-based Incomplete Multi-view Clustering Z Yang, H Zhang, Y Wei, Z Wang, F Nie, D Hu
Pattern Recognition 147, 110082, 2024
19 2024 Fast spectral clustering with self-adapted bipartite graph learning X Yang, M Zhu, Y Cai, Z Wang, F Nie
Information Sciences 644, 118810, 2023
19 2023 Worst-case discriminative feature learning via max-min ratio analysis Z Wang, F Nie, C Zhang, R Wang, X Li
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
18 2023 Capped Z Wang, F Nie, C Zhang, R Wang, X Li
IEEE Signal Processing Letters 27, 1315-1319, 2020
18 2020 Joint adaptive graph learning and discriminative analysis for unsupervised feature selection H Zhao, Q Li, Z Wang, F Nie
Cognitive Computation 14 (3), 1211-1221, 2022
17 2022 Fuzzy c-multiple-means clustering for hyperspectral image X Yang, M Zhu, B Sun, Z Wang, F Nie
IEEE Geoscience and Remote Sensing Letters 20, 1-5, 2023
15 2023 Multiclass Classification and Feature Selection Based on Least Squares Regression with Large Margin ZW Haifeng Zhao, Siqi Wang
Neural computation 30 (10), 2781-2804, 2018
13 2018 
Feiping NieOPTIMALZweryfikowany adres z mails.tsinghua.edu.cn