팔로우
Xiaofeng ZHU
Xiaofeng ZHU
University of Electronic Science and Technology of China (电子科技大学)
massey.ac.nz의 이메일 확인됨 - 홈페이지
제목
인용
인용
연도
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
11272017
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
7072017
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
3542011
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
3452017
Block-row sparse multiview multilabel learning for image classification
X Zhu, X Li, S Zhang
IEEE transactions on cybernetics 46 (2), 450-461, 2015
3292015
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
3202013
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
2432014
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
2392017
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
2202019
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
2202014
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
2172018
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
2142015
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
2002018
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
1952017
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
1922018
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
1882018
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
1832021
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
1712013
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
1642017
Dimensionality reduction by mixed kernel canonical correlation analysis
X Zhu, Z Huang, HT Shen, J Cheng, C Xu
Pattern Recognition 45 (8), 3003-3016, 2012
1612012
현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요.
학술자료 1–20