湖南大学计算机学院张柏杨,王树林-湖大信息科学与工程学院

论文发表：(杂志论文)

2.Shu-Lin Wang, Zhu, Y. H., Jia,W., Huang, D.S. (2012). "Robust Classification Method of Tumor Subtype byUsing Correlation Filters." IEEE-ACM Transactions on Computational Biologyand Bioinformatics 9(2): 580-591.(SCI)

3.Shu-Lin Wang, Li, X. L., Fang,J. W.. (2012). "Finding minimum gene subsets with heuristic breadth-firstsearch algorithm for robust tumor classification." BMC Bioinformatics 13:178. (SCI)

4.Shu-Lin Wang, Jie Gui, andXueLing Li, “Factor analysis for cross-platform tumor classification based ongene expression profiles,” Journal of Circuits, Systems, and Computers, vol.19,no.1, pp.243-258, 2010 (SCI, EI).

5.Shu-Lin Wang, Xueling Li,Shanwen Zhang, Jie Gui, and Deshuang Huang, “Tumor classification by combiningPNN classifier ensemble with neighborhood rough set based gene reduction,”Computers in Biology and Medicine, vol.40, no.2, pp.179-189, 2010 (SCI, EI).

6.Shu-Lin Wang, XueLing Li,Jun-Feng Xia, and Xiao-Ping Zhang, “Weighted neighborhood classifier for theclassification of imbalanced tumor dataset,” Journal of Circuits, Systems, andComputers, vol. 19, no. 1, pp. 259-273, 2010 (SCI, EI).

7.王树林,王戟, 陈火旺, 李树涛, 张波云, “肿瘤信息基因启发式宽度优先搜索算法研究,”《计算机学报》, vol.31, no.4, pp.636-649, 2008 (EI).

8.王树林,王戟, 陈火旺, 张鼎兴, “k-长DNA子序列计数算法研究,” 《计算机工程》, vol.33, no.9, pp. 40-42, 2007.

9.王树林,王戟, 陈火旺, 张波云, “基于主成份分析的肿瘤分类检测算法研究,” 《计算机工程与科学》, vol.29, no.9, pp.84-89, 2007.

10.王树林,王戟, 陈火旺, 张波云, “基于分形的DNA序列可视化表示研究,”《计算机科学》, vol.33, no.7, pp. 158-163, 2006.

11.王树林,王戟, 陈火旺, 张鼎兴, “k-长DNA子序列频数分布研究,”《生物物理学报》, vol.22, no.3, 177-196, 2006.

12.Meiling Hou, Shulin Wang, Xueling Li, Yingke Lei. “Neighborhoodrough set reduction based gene selection and prioritization for gene expressionprofile analysis and molecular cancer classification,” Journal of Biomedicineand Biotechnology, Volume 2010, Article ID 726413, 12 pages. (Correspondence Author, SCI)

13.Jie Gui, Shu-Lin Wang, and Deshuang Huang,"Multi-step Dimensionality Reduction and Semi-Supervised Graph-Based TumorClassification Using Gene Expression Data," Artificial Intelligence inMedicine (Joint First Author，SCI).

14.Xue-Ling Li, Shu-Lin Wang, Meiling Hou. “Specificityof Transporter Associated with Antigen Processing Protein as Revealed byFeature Selection Method,” Protein and Peptide Letters, vol.17, no.9,pp.1129-1135, 2010. (Joint First Author,SCI)

15.Shanwen Zhang,De-shuang Huang, and Shu-Lin Wang. ”AMethod of Tumor Classification Based on Wavelet Packet Transforms andNeighborhood Rough Set”, Computers in Biology and Medicine, vol.40, no.4, pp.430-437,2010. (SCI,EI).

16.Jie Gui, WeiJia, Ling Zhu, Shulin Wang and DeshuangHuang, "Locality Preserving Discriminant Projections for Face andPalmprint Recognition," Neurocomputing, vol.73, no.13-15, pp. 2696-2707,2010 (SCI, EI).

17.余波, 王树林, 张大方, “基于Junit自动生成类测试案例框架的实现,”《计算机工程与应用》, vol.42, no.1, pp. 89-92, 2006.

18.阳少林，王树林，“基于神经网络的多类肿瘤亚型识别研究,”《计算机工程与应用》,2008, 44(11): 237-240. (EI)

论文发表：(会议论文)

1.Shu-Lin Wangand Yi-Hai Zhu, "A novelmethod to robust tumor classification based on MACE filter," EmergingIntelligent Computing Technology and Applications: With Aspects of ArtificialIntelligence, in: Proceedings of 5th International Conference on IntelligentComputing, vol.5755, pp.945-954, 2009 (EI).

2.Shulin Wang, Xue-Lin Li, and ShanwenZhang, "Neighborhood rough set model based gene selection formulti-subtype tumor classification," Advanced Intelligent ComputingTheories and Applications, in: Proceedings of 4th International Conference onIntelligent Computing, vol.5226, pp.146-158, 2008 (EI).

3.Shulin Wang, Ji Wang, Huowang Chen,Shutao Li, “Feature extraction and classification of tumor based on waveletpackage and support vector machines,” The 11th Pacific-Asia Conference onKnowledge Discovery and Data Mining (PAKDD 2007), Nanjing, Lecture Notes inArtificial Intelligence (LNAI), vol. 4426, pp. 871-878, 2007 (EI).

4.Shulin Wang, Huowang Chen, Shutao Liand Dingxing Zhang, “Feature extraction from tumor gene expression profilesusing DCT and DFT,” The 13th Portuese Conference on Artificial Intelligence,Portugal, Lecture Notes in Computer Sciences (LNCS), vol. 4874, pp.485-496,2007 (EI).

5.Shulin Wang, Huowang Chen, Ji Wang,Dingxing Zhang, Shutao Li, “Molecular diagnosis of tumor based on independentcomponent analysis and support vector machines,” Proceedings of the 2006International Conference on Computational Intelligence and Security (CIS2006),Lecture Notes in Artificial Intelligence (LNAI), Guangzhou, vol. 4456, pp.46-56, 2007 (EI).

6.王树林,陈火旺, 王戟, “基于基因表达谱的肿瘤分类研究进展,” 《生物信息学中的智能计算理论与方法研究》, 合肥：中国科学技术大学出版社, pp.56-64, 2006.

7.Shulin Wang, Ji Wang, Huowang Chen,Boyun Zhang, “SVM-based tumor classification with gene expression data,”International Conference on Advanced Data Mining and Applications,Springer-Verlag Berlin Heidelberg, vol.4093, pp. 864-870, 2006 (SCI, EI).

8.Shulin Wang, Huowang Chen, ShutaoLi, “Gene selection using neighborhood rough set from gene expressionprofiles,” International Conference on Computational Intelligence and Security(CIS’2007), Harbin, pp.959-963, 2007 (EI).

9.Shulin Wang, Ji Wang, Huowang Chen,Wensheng Tang, “The classification of tumor using gene expression profile basedon support vector machines and factor analysis,” Intelligent Systems Design andApplications, Jinan, IEEE Computer Society Press, Part 2, pp. 471-476, 2006(EI).

10.Shulin Wang, Huowang Chen, Faren Li,Dingxing Zhang, “Gene selection with rough sets for the molecular diagnosing oftumor based on support vector machines,” International Computer Symposium 2006,Taiwan, pp.1368-1373, 2006.

11.Boyun Zhang,Jianping Yin, Jingbo Hao, and ShulinWang, “New malicious code detection based on n-gram analysis and rough settheory,” International Conference on Computational Intelligence and Security,Lecture Notes in Artificial Intelligence (LNAI), Springer-Verlag, Guangzhou,vol.4456, pp.626-633, 2007 (EI).

12.Shu-Lin Wang, Hong-Zhu You, Ying-KeLei, and Xue-Ling Li, ”Performance Comparison of Tumor Classification Based onLinear and Non-linear Dimensionality Reduction Methods,” Advanced IntelligentComputing Theories and Applications, in: Proceedings of sixth InternationalConference on Intelligent Computing, vol.6215, pp.291-300, 2010. (EI)

13.王树林，黄德双，骆嘉伟，“计算科学与生命科学的相互交融与相互启示，”计算机科学，2008年11月专辑, vol.35,no.11, pp.31-35.(“计算思维与计算机导论”专题学术研讨会特邀报告).