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ORCIDEnliang Hu
Person information
- affiliation: Yunnan Normal University, Department of Mathematic, Kunming, China
- affiliation: Nanjing University of Aeronautics and Astronautics, Department of Computer Science and Engineering, China
- affiliation: Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Clear Water Bay, Hong Kong
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2020 – today
- 2024
[j12]Keyang Yu, Yike Zhu
, Xuesong Yin, Ting Shu, Yigang Wang, Enliang Hu:
Structure-aware preserving projections with applications to medical image clustering. Appl. Soft Comput. 158: 111576 (2024)- 2022
- [j11]Quanming Yao, Hansi Yang, En-Liang Hu, James T. Kwok:
Efficient Low-Rank Semidefinite Programming With Robust Loss Functions. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6153-6168 (2022)
2010 – 2019
- 2019
- [j10]En-Liang Hu, Bo Wang:
A new optimization in SDP-based learning. Neurocomputing 365: 10-20 (2019) - [j9]En-Liang Hu, James T. Kwok:
Low-Rank Matrix Learning Using Biconvex Surrogate Minimization. IEEE Trans. Neural Networks Learn. Syst. 30(11): 3517-3527 (2019) - [c5]En-Liang Hu, Quanming Yao:
Robust Learning from Noisy Side-information by Semidefinite Programming. IJCAI 2019: 2514-2520 - [i1]En-Liang Hu, Quanming Yao:
Robust Learning from Noisy Side-information by Semidefinite Programming. CoRR abs/1905.04629 (2019) - 2015
- [j8]En-Liang Hu, James T. Kwok:
Scalable Nonparametric Low-Rank Kernel Learning Using Block Coordinate Descent. IEEE Trans. Neural Networks Learn. Syst. 26(9): 1927-1938 (2015) - 2013
- [j7]Xuesong Yin, Songcan Chen, Enliang Hu:
Regularized soft K-means for discriminant analysis. Neurocomputing 103: 29-42 (2013) - [c4]En-Liang Hu, James T. Kwok:
Flexible Nonparametric Kernel Learning with Different Loss Functions. ICONIP (2) 2013: 116-123 - [c3]En-Liang Hu, James T. Kwok:
Efficient Kernel Learning from Side Information Using ADMM. IJCAI 2013: 1408-1414 - 2011
- [j6]Xuesong Yin, Enliang Hu:
Distance metric learning guided adaptive subspace semi-supervised clustering. Frontiers Comput. Sci. China 5(1): 100-108 (2011) - [j5]Enliang Hu, Songcan Chen, Jiankun Yu, Lishan Qiao:
Two-stage nonparametric kernel leaning: From label propagation to kernel propagation. Neurocomputing 74(17): 2725-2733 (2011) - [c2]Enliang Hu, Bo Wang, Songcan Chen:
BCDNPKL: Scalable Non-Parametric Kernel Learning Using Block Coordinate Descent. ICML 2011: 209-216 - 2010
- [j4]Enliang Hu, Songcan Chen, Xuesong Yin:
Manifold contraction for semi-supervised classification. Sci. China Inf. Sci. 53(6): 1170-1187 (2010) - [j3]Enliang Hu, Xuesong Yin, Yongming Wang, Songcan Chen:
SSPS: A Semi-Supervised Pattern Shift for Classification. Neural Process. Lett. 31(3): 243-257 (2010) - [j2]Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zhang:
Semi-supervised clustering with metric learning: An adaptive kernel method. Pattern Recognit. 43(4): 1320-1333 (2010) - [j1]Enliang Hu, Songcan Chen, Daoqiang Zhang, Xuesong Yin:
Semisupervised Kernel Matrix Learning by Kernel Propagation. IEEE Trans. Neural Networks 21(11): 1831-1841 (2010)
2000 – 2009
- 2007
- [c1]Yong-Ming Wang, Nan-Feng Xiao, Hong-Li Yin, En-Liang Hu:
A Novel Heuristic Approach for Job Shop Scheduling Problem. FAW 2007: 252-260
Coauthor Index
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