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Items: 14

1.

Generative adversarial networks with mixture of t-distributions noise for diverse image generation.

Sun J, Zhong G, Chen Y, Liu Y, Li T, Huang K.

Neural Netw. 2019 Nov 18;122:374-381. doi: 10.1016/j.neunet.2019.11.003. [Epub ahead of print]

PMID:
31765986
2.

Stochastic Conjugate Gradient Algorithm With Variance Reduction.

Jin XB, Zhang XY, Huang K, Geng GG.

IEEE Trans Neural Netw Learn Syst. 2019 May;30(5):1360-1369. doi: 10.1109/TNNLS.2018.2868835. Epub 2018 Sep 27.

PMID:
30281486
3.

Banzhaf random forests: Cooperative game theory based random forests with consistency.

Sun J, Zhong G, Huang K, Dong J.

Neural Netw. 2018 Oct;106:20-29. doi: 10.1016/j.neunet.2018.06.006. Epub 2018 Jun 28.

PMID:
30007122
4.

Zero-Shot Learning via Attribute Regression and Class Prototype Rectification.

Changzhi Luo, Zhetao Li, Kaizhu Huang, Jiashi Feng, Meng Wang.

IEEE Trans Image Process. 2018 Feb;27(2):637-648. doi: 10.1109/TIP.2017.2745109. Epub 2017 Aug 25.

PMID:
28858797
5.

Maximum margin semi-supervised learning with irrelevant data.

Yang H, Huang K, King I, Lyu MR.

Neural Netw. 2015 Oct;70:90-102. doi: 10.1016/j.neunet.2015.06.004. Epub 2015 Jul 15.

PMID:
26264172
6.

MTC: A Fast and Robust Graph-Based Transductive Learning Method.

Zhang YM, Huang K, Geng GG, Liu CL.

IEEE Trans Neural Netw Learn Syst. 2015 Sep;26(9):1979-91. doi: 10.1109/TNNLS.2014.2363679. Epub 2014 Nov 4.

PMID:
25376047
7.

Learning locality preserving graph from data.

Zhang YM, Huang K, Hou X, Liu CL.

IEEE Trans Cybern. 2014 Nov;44(11):2088-98. doi: 10.1109/TCYB.2014.2300489. Epub 2014 Jul 8.

PMID:
25020223
8.

Robust Text Detection in Natural Scene Images.

Yin XC, Yin X, Huang K, Hao HW.

IEEE Trans Pattern Anal Mach Intell. 2014 May;36(5):970-83. doi: 10.1109/TPAMI.2013.182.

PMID:
26353230
9.

Maxi-Min discriminant analysis via online learning.

Xu B, Huang K, Liu CL.

Neural Netw. 2012 Oct;34:56-64. doi: 10.1016/j.neunet.2012.06.001. Epub 2012 Jul 10.

PMID:
22831850
10.

Enhanced protein fold recognition through a novel data integration approach.

Ying Y, Huang K, Campbell C.

BMC Bioinformatics. 2009 Aug 26;10:267. doi: 10.1186/1471-2105-10-267.

11.

Arbitrary norm support vector machines.

Huang K, Zheng D, King I, Lyu MR.

Neural Comput. 2009 Feb;21(2):560-82. doi: 10.1162/neco.2008.12-07-667.

PMID:
19431269
12.

A novel kernel-based maximum a posteriori classification method.

Xu Z, Huang K, Zhu J, King I, Lyu MR.

Neural Netw. 2009 Sep;22(7):977-87. doi: 10.1016/j.neunet.2008.11.005. Epub 2008 Dec 3.

PMID:
19167865
13.

Imbalanced learning with a biased minimax probability machine.

Huang K, Yang H, King I, Lyu MR.

IEEE Trans Syst Man Cybern B Cybern. 2006 Aug;36(4):913-23.

PMID:
16903374
14.

Maximizing sensitivity in medical diagnosis using biased minimax probability machine.

Huang K, Yang H, King I, Lyu MR.

IEEE Trans Biomed Eng. 2006 May;53(5):821-31.

PMID:
16686404

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