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 K, 2010
An extended level method for efficient multiple kernel learning
Z Xu, R Jin, I King, M Lyu
Advances in neural information processing systems, 1825-1832, 2009
Bayesian network technologies: applications and graphical models
A Mittal
IGI Global, 2007
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 K, 2012
Online learning for group lasso
H Yang, Z Xu, I King, MR Lyu
Proceedings of the 27th International Conference on Machine Learning (ICML K, 2010
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
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 K, 2018
Bayesian nonparametric models for multiway data analysis
Z Xu, F Yan, Y Qi
Pattern Analysis and Machine Intelligence, IEEE Transactions on 37 (2), 475-487, 2015
Robust graph learning from noisy data
Z Kang, H Pan, SCH Hoi, Z Xu
IEEE transactions on cybernetics 50 (5), 1833-1843, 2020
Low-rank kernel learning for graph-based clustering
Z Kang, L Wen, W Chen, Z Xu
Knowledge-Based Systems 163, 510-517, 2019
Non-monotonic feature selection
Z Xu, R Jin, J Ye, MR Lyu, I King
Proceedings of the 26th Annual International Conference on Machine Learning K, 2009
Efficient convex relaxation for transductive support vector machine
Z Xu, R Jin, J Zhu, I King, M Lyu
Advances in neural information processing systems 20, 1641-1648, 2007
Feature selection with particle swarms
Y Liu, Z Qin, Z Xu, X He
International Conference on Computational and Information Science, 425-430, 2004
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
Auto-weighted multi-view clustering via kernelized graph learning
S Huang, Z Kang, IW Tsang, Z Xu
Pattern Recognition 88, 174-184, 2019
Unified spectral clustering with optimal graph
Z Kang, C Peng, Q Cheng, Z Xu
arXiv preprint arXiv:1711.04258, 2017
BLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi-GPU Computing
L Wang, W Wu, Z Xu, J Xiao, Y Yang
ICS '16: Proceedings of the 2016 International Conference on Supercomputing, 2016
Distributed Flexible Nonlinear Tensor Factorization
S Zhe, K Zhang, P Wang, K Lee, Z Xu, Z Qi, Yuan, Ghahramani
Advances in Neural Information Processing Systems, 2016
Heavy-tailed symmetric stochastic neighbor embedding
Z Yang, I King, Z Xu, E Oja
Advances in neural information processing systems, 2169-2177, 2009
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