湖南大学信息科学与工程学院导师介绍：王树林

　　姓名：王树林　　性别：男　　户籍；四川达县

　　民族：汉族　　政治面貌：中共党员　　出生年月：1966年11月

　　学院：信息科学与工程学院　　职称：副教授（2006年）　

　　邮箱： jt_slwang@hotmail.com

　　学习经历：

　　1985年9月至1989年7月在中国地质大学计算机科学系计算机应用专业学习，获学士学位。1994年9月至1997年6月在国防科技大学计算机系计算机应用专业学习，获工学硕士学位。2003年3月至2007年12月在国防科技大学计算机学院学习，师从陈火旺院士和王戟教授，获博士学位。

　　工作经历：

　　1989年8月至2000年10月在位于新疆马兰的中国核武器试验基地工作，从事核试验安全保障技术研究与核武器试验数据计算机处理工作。

　　2000年10月至今在湖南大学计算机与通信学院从事科研与教学工作。

　　2008年4月至2010年8月在中国科学院合肥物质科学研究院博士后流动站工作。

　　研究领域：

　　生物信息学、软件工程、人工智能和复杂系统。

　　主讲课程：

　　本科核心课程: 脑与认知科学

　　本科选修课程: 数据仓库与数据挖掘

　　研究生核心课程: 生物信息学基础

　　研究生选修课程: 机器学习在生物信息学中的应用

　　科研项目：

　　主持国家自然科学基金一项: 基于启发式信息的肿瘤基因表达谱降维与分析方法研究(60973153)。主持中国博士后基金一项 (20090450825)。作为第二申请人参加国家自然科学基金一项: 基于隐马尔科夫模型的癌症关联基因调控通道建模研究(30900321)。

　　近年代表性论文

　　论文发表：（杂志论文）

　　1. 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).

　　2. Shu-Lin Wang, Xueling Li, Shanwen Zhang, Jie Gui, and Deshuang 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).

　　3. Shu-Lin Wang, XueLing Li, Jun-Feng Xia, and Xiao-Ping Zhang, “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).

　　4. 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).

　　5. 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.

　　6. 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.

　　7. 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.

　　8. 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.

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

　　10. Jie Gui, Shu-Lin Wang, and Deshuang Huang, "Multi-step Dimensionality Reduction and Semi-Supervised Graph-Based Tumor Classification Using Gene Expression Data," Artificial Intelligence in Medicine (Joint First Author，SCI). (In Press)

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

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

　　13. Jie Gui, Wei Jia, Ling Zhu, Shuling Wang and Deshuang Huang, "Locality Preserving Discriminant Projections for Face and Palmprint Recognition," Neurocomputing, vol.73, no.13-15, pp. 2696-2707, 2010 (SCI, EI).

　　14. 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.

　　15. 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 Wang and Yi-Hai Zhu, "A novel method to robust tumor classification based on MACE filter," Emerging Intelligent Computing Technology and Applications: With Aspects of Artificial Intelligence, in: Proceedings of 5th International Conference on Intelligent Computing, vol.5755, pp.945-954, 2009 (EI).

　　2. Shulin Wang, Xue-Lin Li, and Shanwen Zhang, "Neighborhood rough set model based gene selection for multi-subtype tumor classification," Advanced Intelligent Computing Theories and Applications, in: Proceedings of 4th International Conference on Intelligent 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 wavelet package and support vector machines,” The 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2007), Nanjing, Lecture Notes in Artificial Intelligence (LNAI), vol. 4426, pp. 871-878, 2007 (EI).

　　4. Shulin Wang, Huowang Chen, Shutao Li and Dingxing Zhang, “Feature extraction from tumor gene expression profiles using 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 independent component analysis and support vector machines,” Proceedings of the 2006 International 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, Shutao Li, “Gene selection using neighborhood rough set from gene expression profiles,” 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 based on support vector machines and factor analysis,” Intelligent Systems Design and Applications, 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 of tumor based on support vector machines,” International Computer Symposium 2006, Taiwan, pp.1368-1373, 2006.

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

　　12. Boyun Zhang, Jianping Yin, Jingbo Hao, Dingxing Zhang, and Shulin Wang, “Malicious codes detection based on ensemble learning,” The 4th International Conference on Autonomic and Trusted Computing (ATC-07), Lecture Notes in Computer Science (LNCS), Springer-Verlag, Hongkong, vol.4610, pp.468-477, 2007 (EI).

　　13. Dingxing Zhang, Ming Xu, Shulin Wang, Boyun Zhang, “Minimization of the redundant coverage for dense wireless sensor networks,” The 2007 International Conference on Embedded Software and Systems (ICESS-07), Daegu, South Korea, Lecture Notes in Computer Sciences (LNCS), vol.4523, pp.751-760, 2007 (EI).

　　14. Cui-e Chen, Shulin Wang, Ying Chen, Yang Meng, Hua Ma: Analysis of Enterprise Workflow Solutions. Emerging Intelligent Computing Technology and Applications: With Aspects of Artificial Intelligence, in: Proceedings of 5th International Conference on Intelligent Computing ICIC (2) 2009: 680-687 (EI).

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

　　16. Zhuhong You, Shulin Wang, Jie Gui, Shanwen Zhang: A Novel Hybrid Method of Gene Selection and Its Application on Tumor Classification. ICIC (2) 2008: 1055-1068. (EI)

　　17. Ying-Ke Lei, Yangming Xu, Shan-Wen Zhang, Shu-Lin Wang and Zhi-Guo Ding: Fast ISOMAP based on minimum set coverage. Lecture Notes in Computer Science, 2010, Volume 6216, Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, pp. 173-179. (EI)

　　18. 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).