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 17 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
Structure-aware preserving projections with applications to medical image clustering.
Appl. Soft Comput., 2024

2022
Efficient Low-Rank Semidefinite Programming With Robust Loss Functions.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

2019
Low-Rank Matrix Learning Using Biconvex Surrogate Minimization.
IEEE Trans. Neural Networks Learn. Syst., 2019

A new optimization in SDP-based learning.
Neurocomputing, 2019

Robust Learning from Noisy Side-information by Semidefinite Programming.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2015
Scalable Nonparametric Low-Rank Kernel Learning Using Block Coordinate Descent.
IEEE Trans. Neural Networks Learn. Syst., 2015

2013
Regularized soft K-means for discriminant analysis.
Neurocomputing, 2013

Efficient Kernel Learning from Side Information Using ADMM.
Proceedings of the IJCAI 2013, 2013

Flexible Nonparametric Kernel Learning with Different Loss Functions.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

2011
Two-stage nonparametric kernel leaning: From label propagation to kernel propagation.
Neurocomputing, 2011

Distance metric learning guided adaptive subspace semi-supervised clustering.
Frontiers Comput. Sci. China, 2011

BCDNPKL: Scalable Non-Parametric Kernel Learning Using Block Coordinate Descent.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Semisupervised Kernel Matrix Learning by Kernel Propagation.
IEEE Trans. Neural Networks, 2010

Semi-supervised clustering with metric learning: An adaptive kernel method.
Pattern Recognit., 2010

SSPS: A Semi-Supervised Pattern Shift for Classification.
Neural Process. Lett., 2010

Manifold contraction for semi-supervised classification.
Sci. China Inf. Sci., 2010

2007
A Novel Heuristic Approach for Job Shop Scheduling Problem.
Proceedings of the Frontiers in Algorithmics, First Annual International Workshop, 2007


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