論文發表：(雜志論文)

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.王樹林,王戟, 陳火旺, 李樹濤, 張波云, “腫瘤信息基因啟發式寬度優先搜索算法研究,”《計算機學報》, vol.31, no.4, pp.636-649, 2008 (EI).

8.王樹林,王戟, 陳火旺, 張鼎興, “k-長DNA子序列計數算法研究,” 《計算機工程》, vol.33, no.9, pp. 40-42, 2007.

9.王樹林,王戟, 陳火旺, 張波云, “基于主成份分析的腫瘤分類檢測算法研究,” 《計算機工程與科學》, vol.29, no.9, pp.84-89, 2007.

10.王樹林,王戟, 陳火旺, 張波云, “基于分形的DNA序列可視化表示研究,”《計算機科學》, vol.33, no.7, pp. 158-163, 2006.

11.王樹林,王戟, 陳火旺, 張鼎興, “k-長DNA子序列頻數分布研究,”《生物物理學報》, 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, 王樹林, 張大方, “基于Junit自動生成類測試案例框架的實現,”《計算機工程與應用》, vol.42, no.1, pp. 89-92, 2006.

18.陽少林，王樹林，“基于神經網絡的多類腫瘤亞型識別研究,”《計算機工程與應用》,2008, 44(11): 237-240. (EI)

論文發表：(會議論文)

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.王樹林,陳火旺, 王戟, “基于基因表達譜的腫瘤分類研究進展,” 《生物信息學中的智能計算理論與方法研究》, 合肥：中國科學技術大學出版社, 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.王樹林，黃德雙，駱嘉偉，“計算科學與生命科學的相互交融與相互啟示，”計算機科學，2008年11月專輯, vol.35,no.11, pp.31-35.(“計算思維與計算機導論”專題學術研討會特邀報告).

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