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Enliang Hu

Orcid: 0000-0001-7398-2285

Affiliations:
  • Yunnan Normal University, Department of Mathematic, Kunming, China
  • Nanjing University of Aeronautics and Astronautics, Department of Computer Science and Engineering, China
  • Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Clear Water Bay, Hong Kong


According to our database1, Enliang Hu authored at least 16 papers between 2007 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

Online presence:

On csauthors.net:

Bibliography

2022
Efficient Low-Rank Semidefinite Programming With Robust Loss Functions.
[BibTeX]
[DOI]
Quanming Yao
,
Hansi Yang
,
En-Liang Hu
,
James T. Kwok
IEEE Trans. Pattern Anal. Mach. Intell., 2022

2019
Low-Rank Matrix Learning Using Biconvex Surrogate Minimization.
[BibTeX]
[DOI]
En-Liang Hu
,
James T. Kwok
IEEE Trans. Neural Networks Learn. Syst., 2019

A new optimization in SDP-based learning.
[BibTeX]
[DOI]
En-Liang Hu
,
Bo Wang
Neurocomputing, 2019

Robust Learning from Noisy Side-information by Semidefinite Programming.
[BibTeX]
[DOI]
En-Liang Hu
,
Quanming Yao
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2015
Scalable Nonparametric Low-Rank Kernel Learning Using Block Coordinate Descent.
[BibTeX]
[DOI]
En-Liang Hu
,
James T. Kwok
IEEE Trans. Neural Networks Learn. Syst., 2015

2013
Regularized soft K-means for discriminant analysis.
[BibTeX]
[DOI]
Xuesong Yin
,
Songcan Chen
,
Enliang Hu
Neurocomputing, 2013

Efficient Kernel Learning from Side Information Using ADMM.
[BibTeX]
[DOI]
En-Liang Hu
,
James T. Kwok
Proceedings of the IJCAI 2013, 2013

Flexible Nonparametric Kernel Learning with Different Loss Functions.
[BibTeX]
[DOI]
En-Liang Hu
,
James T. Kwok
Proceedings of the Neural Information Processing - 20th International Conference, 2013

2011
Two-stage nonparametric kernel leaning: From label propagation to kernel propagation.
[BibTeX]
[DOI]
Enliang Hu
,
Songcan Chen
,
Jiankun Yu
,
Lishan Qiao
Neurocomputing, 2011

Distance metric learning guided adaptive subspace semi-supervised clustering.
[BibTeX]
[DOI]
Xuesong Yin
,
Enliang Hu
Frontiers Comput. Sci. China, 2011

BCDNPKL: Scalable Non-Parametric Kernel Learning Using Block Coordinate Descent.
[BibTeX]
[DOI]
Enliang Hu
,
Bo Wang
,
Songcan Chen
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Semisupervised Kernel Matrix Learning by Kernel Propagation.
[BibTeX]
[DOI]
Enliang Hu
,
Songcan Chen
,
Daoqiang Zhang
,
Xuesong Yin
IEEE Trans. Neural Networks, 2010

Semi-supervised clustering with metric learning: An adaptive kernel method.
[BibTeX]
[DOI]
Xuesong Yin
,
Songcan Chen
,
Enliang Hu
,
Daoqiang Zhang
Pattern Recognit., 2010

SSPS: A Semi-Supervised Pattern Shift for Classification.
[BibTeX]
[DOI]
Enliang Hu
,
Xuesong Yin
,
Yongming Wang
,
Songcan Chen
Neural Process. Lett., 2010

Manifold contraction for semi-supervised classification.
[BibTeX]
[DOI]
Enliang Hu
,
Songcan Chen
,
Xuesong Yin
Sci. China Inf. Sci., 2010

2007
A Novel Heuristic Approach for Job Shop Scheduling Problem.
[BibTeX]
[DOI]
Yong-Ming Wang
,
Nan-Feng Xiao
,
Hong-Li Yin
,
En-Liang Hu
Proceedings of the Frontiers in Algorithmics, First Annual International Workshop, 2007


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