卢新国???

教师介绍
卢新国
中文名：卢新国
英文名：
学历：
职称：助理教授

所属机构：
信息工程系
快速导航：个人简历学术论文科研状况

返回顶部个人简历
卢新国, 博士, 助理教授, 2002年湖南大学数学与计量经济学院计算机软件专业毕业, 获湖南大学工学学士学位, 进入湖南大学信息科学与工程学院（原计算机与通信学院）学习, 2004年直接攻读博士学位, 2007年获湖南大学计算机应用技术工学博士学位, 并留校任教于湖南大学信息科学与工程学院. 2009年进入国防科技大学博士后科研流动站, 从事生物信息处理、脑科学与脑认知、模式识别等研究工作. 作为项目主要完成人, 主持国家自然科学青年基金1项, 教育部博士点基金1项, 国家博士后基金1项, 参与国家自然科学基金项目3项. 近年来在PAKDD、ICAISC等重要国内外人工智能会议和《软件学报》、《电子学报》等重要刊物、《MATCH Communications in Mathematical and in Computer Chemistry》SCI杂志上发表相关论文24篇, 其中SCI检索12篇, EI检索8篇, ISTP检索5篇.
返回顶部学术论文
(1)SCI论文和权威刊物论文

[1] Xinguo Lu, Xianghua Peng, Yong Deng, Bingtao Feng, Ping Liu, and Bo Liao. A Novel Feature Selection Method Based on Correlation-Based Feature Selection in Cancer Recognition. J. Comput. Theor. Nanosci. 11, 427-433 (2014)

[2] 卢新国, 林亚平, 骆嘉伟, 李丹. 癌症识别中一种基于组合GCM和CCM的分类算法. 软件学报, 2010, 21(11): 2838-2851.

[3] 卢新国, 林亚平, 王海军, 李小龙, 易叶青. 基于微阵列基因表达谱的一种关联空间的癌症分类算法. 电子学报, 2008, 36(4): 614-619.

[4] X. G. Lu, Y. P. Lin, H. J. Wang, S. W. Zhou, and X. L. Li, A novel relative space based gene feature extraction and cancer recognition, in Advances in Knowledge Discovery and Data Mining, Proceedings, Z.H. Zhou, H. Li, and Q. Yang, Editors. 2007, Springer-Verlag Berlin: Berlin. p. 712-719.

[5] X. G. Lu, Y. P. Lin, X. L. Yang, L. J. Cai, H. J. Wang, and G. Sanga, Using most similarity tree based clustering to select the top most discriminating genes for cancer detection, in Artificial Intelligence and Soft Computing - Icaisc 2006, Proceedings, L. Rutkowski, et al., Editors. 2006, Springer-Verlag Berlin: Berlin. p. 931-940.

[6] X. G. Lu, Y. P. Lin, W. Yue, H. J. Wang, S. W. Zhou, and Ieee, ICA based supervised gene classification of microarray data in yeast functional genome. Eighth International Conference on High-Performance Computing in Asia-Pacific Region, Proceedings, ed. D.C. Martin. 2005, New York: Ieee. 633-638.

[7] X. G. Lu, Y. P. Lin, X. L. Li, Y. Q. Yi, L. J. Cai, H. J. Wang, and Ieee, Gene cluster algorithm based on most similarity tree. Eighth International Conference on High-Performance Computing in Asia-Pacific Region, Proceedings, ed. D.C. Martin. 2005, New York: Ieee. 652-656.

[8] Q. L. Xiang, B. Liao, Q. F. Liu, X. G. Lu, and W. Zhu, Protein Functional Class Prediction Based on Clustering. Journal of Computational and Theoretical Nanoscience, 2013. 10(1): p. 27-32.

[9] B. Liao, L. M. Xia, Y. P. Lin, and X. G. Lu, Locally Linear Discriminant Embedding for Feature Gene Extraction Based on Dynamical Neighborhood. Journal of Computational and Theoretical Nanoscience, 2012. 9(12): p. 2116-2121.

[10] B. Liao, T. Cao, X. G. Lu, and W. Zhu, A Novel Hybrid Method for Gene Selection of Microarray Data. Journal of Computational and Theoretical Nanoscience, 2012. 9(1): p. 5-9.

[11] H. Fan, R. H. Wu, B. Liao, and X. G. Lu, An Improved Genetic Algorithm for Multiple Sequence Alignment. Journal of Computational and Theoretical Nanoscience, 2012. 9(10): p. 1558-1564.

[12] X. Y. Zhou, B. Liao, L. J. Liao, and X. G. Lu, A Discrete Measure for Phylogenetic Construction Based on Information Gain. Match-Communications in Mathematical and in Computer Chemistry, 2011. 66(1): p. 415-424.

[13] X. Y. Zhou, X. Li, M. Li, and X. G. Lu, Predicting Protein Functional Class with the Weighted Segmented Pseudo-Amino Acid Composition Moment Vector. Match-Communications in Mathematical and in Computer Chemistry, 2011. 66(1): p. 445-462.

[14] B. Liao, B. Y. Liao, X. G. Lu, and Z. Cao, A Novel Graphical Representation of Protein Sequences and Its Application. Journal of Computational Chemistry, 2011. 32(12): p. 2539-2544.

[15] X. L. Li, Y. P. Lin, S. Q. Yang, Y. Q. Yi, J. P. Yu, and X. G. Lu, A key distribution scheme based on public key cryptography for sensor networks, in Computational Intelligence and Security, Y. Wang, Y.M. Cheung, and H. Liu, Editors. 2007, Springer-Verlag Berlin: Berlin. p. 725-732.
(2)其他论文

[16] Xinguo Lu, Bingtao Feng, Yong Deng, Dewen Hu, Co-expressing patterns of schizophrenia candidate genes in brain regions, Intelligent Science and Intelligent Data Engineering, 565-572, 2013.

[17] Xinguo Lu, Yong Deng, Bo Liao. A Co-expression Modules Based Gene Selection for Cancer Recognition. the 7th International Conference on Systems Biology, 2013.

[18] Xinguo Lu, Ping Liu, Ling-li Zeng, Renfa Li, Dewen Hu, Schizophrenia candidate genes specific to human brain region are restricted to basal ganglia, IScIDE 2012, LNCS 7751, 565-572, 2013

[19] Xinguo Lu, Pengjie Zhou, Ling-li Zeng, Bingtao Feng. Functional connectivity pattern extraction using entropy-based discretization and SMO. OHBM Annual Meeting(2012)

[20] 卢新国, 林亚平. 利用协同分类方法识别癌症类型. 计算机科学, 2010, 37(2): 232-236.

[21] 卢新国, 李丹, 王海军. 基于增强显露模式的癌症分类算法研究. 计算机工程, 2010, 36(8): 30-32.

[22] 卢新国, 林亚平, 陈治平. 基于互信息的改进特特征选择预处理算法. 湖南大学学报: 自然科学版. 2005, 32(1): 104-107. (EI).

[23] Haijun Wang, Yaping Lin, Xinguo Lu, Yalin Nie. A Novel EPA-KNN Gene Classification Algorithm. ISNN (2) 2007, 1254-1263. (EI, ISTP) .

[24] 蔡立军, 林亚平, 卢新国, 易叶青, 李小龙. 基于遗传算法的基因分类. 电子学报, 2006, 34(11): 2115-2119. (EI).

返回顶部科研状况
1.主持国家自然科学青年基金1项,

2. 国家博士后基金1项

3.教育部博士点基金1项,