Zenglin Xu
Cited by
Cited by
Discriminative semi-supervised feature selection via manifold regularization
Z Xu, I King, MRT Lyu, R Jin
IEEE Transactions on Neural networks 21 (7), 1033-1047, 2010
Simple and efficient multiple kernel learning by group lasso
Z Xu, R Jin, H Yang, I King, MR Lyu
Proceedings of the 27th international conference on machine learning (ICML …, 2010
徐增林, 盛泳潘, 贺丽荣, 王雅芳
电子科技大学学报 45 (4), 589-606, 2016
A survey on deep semi-supervised learning
X Yang, Z Song, I King, Z Xu
IEEE Transactions on Knowledge and Data Engineering 35 (9), 8934-8954, 2023
Robust graph learning from noisy data
Z Kang, H Pan, SCH Hoi, Z Xu
IEEE transactions on cybernetics 50 (5), 1833-1843, 2020
Superneurons: Dynamic GPU memory management for training deep neural networks
L Wang, J Ye, Y Zhao, W Wu, A Li, SL Song, Z Xu, T Kraska
Proceedings of the 23rd ACM SIGPLAN symposium on principles and practice of …, 2018
Large-scale multi-view subspace clustering in linear time
Z Kang, W Zhou, Z Zhao, J Shao, M Han, Z Xu
Proceedings of the AAAI conference on artificial intelligence 34 (04), 4412-4419, 2020
An extended level method for efficient multiple kernel learning
Z Xu, R Jin, I King, M Lyu
Advances in neural information processing systems 21, 2008
Multi-graph fusion for multi-view spectral clustering
Z Kang, G Shi, S Huang, W Chen, X Pu, JT Zhou, Z Xu
Knowledge-Based Systems 189, 105102, 2020
Partition level multiview subspace clustering
Z Kang, X Zhao, C Peng, H Zhu, JT Zhou, X Peng, W Chen, Z Xu
Neural Networks 122, 279-288, 2020
Auto-weighted multi-view clustering via kernelized graph learning
S Huang, Z Kang, IW Tsang, Z Xu
Pattern Recognition 88, 174-184, 2019
Semi-supervised deep embedded clustering
Y Ren, K Hu, X Dai, L Pan, SCH Hoi, Z Xu
Neurocomputing 325, 121-130, 2019
Low-rank kernel learning for graph-based clustering
Z Kang, L Wen, W Chen, Z Xu
Knowledge-Based Systems 163, 510-517, 2019
Infinite Tucker decomposition: Nonparametric Bayesian models for multiway data analysis
Z Xu, F Yan, Y Qi
Proceedings of the 29th International Conference on Machine Learning(ICML-12 …, 2012
Bayesian network technologies: applications and graphical models: applications and graphical models
A Mittal, A Kassim
IGI global, 2007
Auto-weighted multi-view clustering via deep matrix decomposition
S Huang, Z Kang, Z Xu
Pattern Recognition 97, 107015, 2020
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition
J Ye, L Wang, G Li, D Chen, S Zhe, X Chu, Z Xu
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
Online learning for group lasso
H Yang, Z Xu, I King, MR Lyu
Proceedings of the 27th International Conference on Machine Learning (ICML …, 2010
Graph-based semi-supervised learning: A comprehensive review
Z Song, X Yang, Z Xu, I King
IEEE Transactions on Neural Networks and Learning Systems, 2022
Efficient sparse generalized multiple kernel learning
H Yang, Z Xu, J Ye, I King, MR Lyu
IEEE Transactions on neural networks 22 (3), 433-446, 2011
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