¡ö International Journal Papers

2010
  1. Rong-Xiang Hu, Wei Jia , De-Shuang Huang, Ying-Ke Lei, ¡°Maximum margin criterion with tensor representation, ¡± Neurocomputing, vol.73, nos.10-12, pp.1541-1549, 2010 (SCI, EI).
  2. Fei Han, Qing-Hua Ling, and D.S.Huang, ¡°An improved approximation approach incorporating particle swarm optimization and a priori information into neural networks,¡± Neural Computing & Applications, vol. 19, no.2, pp. 255-261, 2010 (SCI, EI).
  3. Shan-Wen Zhang, D.S.Huang, and Shu-Lin Wang, ¡°A method of tumor classification based on wavelet packet transformsand neighborhood roughset,¡± Computers in Biology and Medicine, vol. 40, no.4, pp. 430-437, 2010 (SCI, EI).
  4. Shu-Lin Wang, Xueling Li, Shanwen Zhang, Jie Gui, and D.S.Huang, ¡°Tumor classification by combining PNN classifier ensemble with neighborhood rough set based gene reduction,¡± Computers in Biology and Medicine, vol. 40, no.2, pp. 179-189, 2010 (SCI, EI).
  5. Xiao-Feng Wang, D.S.Huang and Huan Xu, "An efficient local Chan-Vese model for image segmentation," Pattern Recognition, vol. 43, no.3, pp. 603-618, 2010 (SCI, EI).
  6. Jun-Feng Xia, Kyungsook Han, and D.S.Huang, ¡°Sequence-based prediction of protein-protein interactions by means of rotation forest and autocorrelation descriptor,¡± Protein and Peptide Letters, vol.17, no.1, pp. 137-145, 2010 (SCI).
  7. Ming-Guang Shi, Jun-Feng Xia, Xue-Ling Li and D.S.Huang, ¡±Predicting protein-protein interactions from sequence using correlation coefficient and high-quality interaction dataset,¡± Amino Acids, vol. 38, no.3, pp.891-899, 2010 (SCI, EI,IF= 4.132).
2009 
  1. Hong-Qiang Wang, Hai-Long Zhu, Chun-Hou Zheng, Timothy T.C.Yip, William C.S. Cho, Stephen C.K. Law, ¡°Mining protein regulatory relationships using neural network methods for early prediction of SARs,¡± Journal of Circuits, Systems, and Computers£¬vol.18, no. 8, pp.1397-1407. 2009 (SCI, EI)
  2. Xie Xin-Ping, Ding Xuan-Hao, Wang Hong-Qiang, et al, ¡°Continuous wavelet analysis of gene expression signals for cancer classification¡±, Journal of Biological Systems, vol.17, no.3, pp. 377-396, 2009 (SCI)
  3. Bo Li, Chao Wang and D.S.Huang, ¡°Supervised feature extraction based on orthogonal discriminant projection,¡± Neurocomputing, vol. 73, nos.1-3, pp 191-196, 2009 (SCI, EI).
  4. Xiao-Feng Wang, D.S.Huang, "A novel density-based clustering framework by using level set method," IEEE Transactions on Knowledge and Data Engineering, vol. 21, no.11, pp 1515-1531, 2009(SCI, EI).
  5. Chun-Hou Zheng, D.S.Huang, Lei Zhang, and Xiang-Zhen Kong, ¡°Tumor clustering using non-negative matrix factorization with gene selection,¡± IEEE Transactions on Information Technology in Biomedicine, vol. 13, no.4, pp 599-607, 2009.
  6. Jisu Kim, D.S.Huang and Kyungsook Han, ¡°Finding motif pairs in the interactions between heterogeneous proteins via bootstrapping and boosting,¡± BMC Bioinformatics, 10:S57 doi:10.1186/1471-2105-10-S1-S57.
  7. Shu-Lin Wang, Jie Gui, and Xueling Li, ¡°Factor analysis for cross-platform tumor classification based on gene expression profiles,¡± Journal of Circuits, Systems, and Computers£¬vol.19, no. 1, pp.243-258. 2010 (SCI, EI).
  8. Shu-Lin Wang, Jie Gui, and Xueling Li, ¡°Weighted neighborhood classifier for the classification of imbalanced tumor dataset,¡± Journal of Circuits, Systems, and Computers£¬vol.19, no. 1, pp.259-273. 2010 (SCI, EI).

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