| Efficient kNN classification with different numbers of nearest neighbors S Zhang, X Li, M Zong, X Zhu, R Wang IEEE transactions on neural networks and learning systems 29 (5), 1774-1785, 2017 | 1275 | 2017 |
| Learning k for kNN Classification S Zhang, X Li, M Zong, X Zhu, D Cheng ACM Transactions on Intelligent Systems and Technology (TIST) 8 (3), 1-19, 2017 | 824 | 2017 |
| Missing value estimation for mixed-attribute data sets X Zhu, S Zhang, Z Jin, Z Zhang, Z Xu IEEE Transactions on Knowledge and Data Engineering 23 (1), 110-121, 2011 | 362 | 2011 |
| Robust joint graph sparse coding for unsupervised spectral feature selection X Zhu, X Li, S Zhang, C Ju, X Wu IEEE transactions on neural networks and learning systems 26 (6), 1263 - 1275, 2017 | 351 | 2017 |
| Block-row sparse multiview multilabel learning for image classification X Zhu, X Li, S Zhang IEEE transactions on cybernetics 46 (2), 450-461, 2015 | 346 | 2015 |
| Linear cross-modal hashing for efficient multimedia search X Zhu, Z Huang, HT Shen, X Zhao Proceedings of the 21st ACM international conference on Multimedia, 143-152, 2013 | 329 | 2013 |
| Effective feature learning and fusion of multimodality data using stage‐wise deep neural network for dementia diagnosis T Zhou, KH Thung, X Zhu, D Shen Human brain mapping 40 (3), 1001-1016, 2019 | 251 | 2019 |
| Structured graph learning for scalable subspace clustering: From single view to multiview Z Kang, Z Lin, X Zhu, W Xu IEEE Transactions on Cybernetics 52 (9), 8976-8986, 2021 | 248 | 2021 |
| A sparse embedding and least variance encoding approach to hashing X Zhu, L Zhang, Z Huang IEEE transactions on image processing 23 (9), 3737-3750, 2014 | 248 | 2014 |
| A novel relational regularization feature selection method for joint regression and classification in AD diagnosis X Zhu, HI Suk, L Wang, SW Lee, D Shen, ADN Initiative Medical image analysis 38, 205–214, 2017 | 247 | 2017 |
| One-step multi-view spectral clustering X Zhu, S Zhang, W He, R Hu, C Lei, P Zhu IEEE Transactions on Knowledge and Data Engineering 31 (10), 2022-2034, 2018 | 234 | 2018 |
| A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis X Zhu, HI Suk, D Shen NeuroImage 100, 91-105, 2014 | 232 | 2014 |
| Multi-level feature learning for contrastive multi-view clustering J Xu, H Tang, Y Ren, L Peng, X Zhu, L He Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 228 | 2022 |
| Subspace regularized sparse multitask learning for multiclass neurodegenerative disease identification X Zhu, HI Suk, SW Lee, D Shen IEEE Transactions on Biomedical Engineering 63 (3), 607-618, 2015 | 226 | 2015 |
| 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 | 217 | 2018 |
| Local and global structure preservation for robust unsupervised spectral feature selection X Zhu, S Zhang, R Hu, Y Zhu IEEE Transactions on Knowledge and Data Engineering 30 (3), 517-529, 2018 | 201 | 2018 |
| Graph PCA Hashing for Similarity Search X Zhu, X Li, S Zhang, Z Xu, L Yu, C Wang IEEE Transactions on Multimedia 9 (9), 2033 - 2044, 2017 | 199 | 2017 |
| Quantization-based hashing: a general framework for scalable image and video retrieval J Song, L Gao, L Liu, X Zhu, N Sebe Pattern Recognition 75, 175-187, 2018 | 195 | 2018 |
| Self-taught dimensionality reduction on the high-dimensional small-sized data X Zhu, Z Huang, Y Yang, HT Shen, C Xu, J Luo Pattern Recognition 46 (1), 215-229, 2013 | 176 | 2013 |
| Graph self-representation method for unsupervised feature selection R Hu, X Zhu, D Cheng, W He, Y Yan, J Song, S Zhang Neurocomputing 220, 130-137, 2017 | 171 | 2017 |