| Feature selection with multi-view data: A survey R Zhang, F Nie, X Li, X Wei Information Fusion 50, 158-167, 2019 | 307 | 2019 |
| A generalized power iteration method for solving quadratic problem on the stiefel manifold F Nie, R Zhang, X Li Science China Information Sciences 60, 1-10, 2017 | 187 | 2017 |
| Generalized uncorrelated regression with adaptive graph for unsupervised feature selection X Li, H Zhang, R Zhang, Y Liu, F Nie IEEE transactions on neural networks and learning systems 30 (5), 1587-1595, 2018 | 171 | 2018 |
| Deep fuzzy k-means with adaptive loss and entropy regularization R Zhang, X Li, H Zhang, F Nie IEEE Transactions on Fuzzy Systems 28 (11), 2814-2824, 2019 | 80 | 2019 |
| A general framework for auto-weighted feature selection via global redundancy minimization F Nie, S Yang, R Zhang, X Li IEEE Transactions on Image Processing 28 (5), 2428-2438, 2018 | 74 | 2018 |
| Unsupervised feature selection via adaptive graph learning and constraint R Zhang, Y Zhang, X Li IEEE Transactions on neural networks and learning systems 33 (3), 1355-1362, 2020 | 72 | 2020 |
| Self-weighted supervised discriminative feature selection R Zhang, F Nie, X Li IEEE transactions on neural networks and learning systems 29 (8), 3913-3918, 2017 | 71 | 2017 |
| Adaptive graph auto-encoder for general data clustering X Li, H Zhang, R Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9725 …, 2021 | 70 | 2021 |
| Joint Learning of Fuzzy k-Means and Nonnegative Spectral Clustering With Side Information R Zhang, F Nie, M Guo, X Wei, X Li IEEE transactions on Image Processing 28 (5), 2152-2162, 2018 | 65 | 2018 |
| Discriminative and uncorrelated feature selection with constrained spectral analysis in unsupervised learning X Li, H Zhang, R Zhang, F Nie IEEE Transactions on Image Processing 29, 2139-2149, 2019 | 62 | 2019 |
| Embedding graph auto-encoder for graph clustering H Zhang, P Li, R Zhang, X Li IEEE Transactions on Neural Networks and Learning Systems 34 (11), 9352-9362, 2022 | 58 | 2022 |
| Autoencoder constrained clustering with adaptive neighbors X Li, R Zhang, Q Wang, H Zhang IEEE transactions on neural networks and learning systems 32 (1), 443-449, 2020 | 53 | 2020 |
| Unsupervised feature selection via adaptive multimeasure fusion R Zhang, F Nie, Y Wang, X Li IEEE transactions on neural networks and learning systems 30 (9), 2886-2892, 2019 | 44 | 2019 |
| Robust principal component analysis with adaptive neighbors R Zhang, H Tong Advances in neural information processing systems 32, 2019 | 38 | 2019 |
| Feature selection under regularized orthogonal least square regression with optimal scaling R Zhang, F Nie, X Li Neurocomputing 273, 547-553, 2018 | 37 | 2018 |
| Robust multi-task learning with flexible manifold constraint R Zhang, H Zhang, X Li IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (6), 2150-2157, 2020 | 32 | 2020 |
| Unsupervised feature selection via data reconstruction and side information R Zhang, X Li IEEE Transactions on Image Processing 29, 8097-8106, 2020 | 29 | 2020 |
| Matrix completion via non-convex relaxation and adaptive correlation learning X Li, H Zhang, R Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 1981-1991, 2022 | 27 | 2022 |
| Robust embedded deep k-means clustering R Zhang, H Tong, Y Xia, Y Zhu Proceedings of the 28th ACM international conference on information and …, 2019 | 27 | 2019 |
| TDFI: Two-stage deep learning framework for friendship inference via multi-source information Y Zhao, M Qiao, H Wang, R Zhang, D Wang, K Xu, Q Tan IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 1981-1989, 2019 | 27 | 2019 |
Xuelong Li （李学龙）TeleAI, China Telecom （中国电信人工智能研究院 TeleAI）在 ieee.org 的电子邮件经过验证
Xuelong Li （李学龙）TeleAI, China Telecom （中国电信人工智能研究院 TeleAI）在 ieee.org 的电子邮件经过验证
Feiping NieOPTIMAL在 mails.tsinghua.edu.cn 的电子邮件经过验证