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骆嘉伟   
教师介绍
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骆嘉伟
骆嘉伟,博士,教授,博士生导师。1964年12月生,福建惠安人,1985年本科毕业于湖南大学,1988年硕士毕业于湖南大学,2008年博士毕业于湖南大学。硕士毕业后一直在高校工作,2004年赴美国伊利诺伊大学做访问学者,进行数据挖掘技术方面的研究与交流。目前研究方向为数据挖掘、生物信息处理、大数据等。

邮箱:luojiawei@hnu.edu.cn。
中文名: 骆嘉伟
英文名:
学历: 博士
职称: 教授
所属机构:
 计算机科学系  学院领导
快速导航: 学习经历 工作经历 研究领域 主讲课程 科研项目 近三年代表作
返回顶部 学习经历

1981.09-1985.07 湖南大学计算机应用专业本科生,获学士学位。

1985.09-1988.03 湖南大学计算机应用专业硕士研究生,获硕士学位。

2003.09-2008.03 湖南大学计算机应用技术专业博士研究生,获博士学位。


返回顶部 工作经历

2000.6-至今,湖南大学教师。

1988.3-2000.5 湖南财经学院教师。


返回顶部 研究领域

数据挖掘、智能与生物信息处理、大数据存储与挖掘

返回顶部 主讲课程

    本科生:数据结构、生物特征识别技术、算法设计与分析

    硕士生:高等数据结构与算法、数据挖掘

博士生:智能优化算法


返回顶部 科研项目

[1]  国家自然科学基金:基于新一代测序数据的复杂疾病特异共调控网络构建及分析方法研究(61572180),2016-2019,主持。

[2]  国家自然科学基金:蛋白质网络动态演化模型及应用算法研究(61240046),2013,主持。

[3]  国家自然科学基金:新型表达模式下的功能基因分析算法研究(60873184),2009-2011,主持。

[4]  国家发改委重大项目子项:虚拟图书馆系统(计高技[2000]2034号),2004-2005,主持。

[5]  湖南省自然科学基金重点资助:基于蛋白质相互作用演化模型的网络结构分析(13JJ2017),2013-2015,主持。

[6]  湖南省财政厅:蛋白质组信息获取和分析方法研究 (湘财教字[2010]163号),2010-2012,主持。

[7]  湖南省自然科学基金:基于聚类的基因功能预测方法(07JJ5086),2008-2010,主持。

[8]  湖南省财政厅:数据挖掘在入侵检测系统中的应用研究 (湘财教字[2006]52号),2006-2009,主持。

[9]  湖南省自然科学基金:基于序列图形表示的功能基因分析算法研究 (06JJ4076),2006-2008,主持。


返回顶部 近三年代表作

1Cheng Liang, Yue Li,Jiawei Luo, Zhaolei Zhang, ”A novel motif-discovery algorithm to identify co-regulatorymotifs in large transcription factor and microRNA co-regulatory networks in human”,Bioinformatics,2015,31(14):2348-2355. (SCI,CCF B)

2Cheng Liang, YueLi, Jiawei Luo, “ A Novel Method to Detect Functional microRNA RegulatoryModules by Bicliques Merging”, IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGYAND BIOINFORMATICS ,2015, DOI 10.1109/TCBB.2015.2462370 (SCI)

3Jiawei Luo,Yi Qi,"Identification of Essential Proteins Based on a New Combination of Local Interaction Density and Protein Complexes",PLOS ONE,2015,10(6):e0131418 (SCI)

4、Buwen Cao, Jiawei Luo,Cheng Liang, Shulin Wang,“MOEPGA: A Novel Method to Detect ProteinComplexes in Yeast Protein–ProteinInteraction Networks based on Multi Objective Evolutionary Programming GeneticAlgorithm”, COMPUT BIOL CHEM, 2015,58:173-181 (SCI)

5Jiawei Luo, Shiyu Liang, ”Prioritization of potential candidate disease genes bytopological similarity of protein–protein interaction network and phenotypedata”, Journal of Biomedical Informatics, 2015,53229-236. (SCI)

Supplementary data.zip

6Jiawei Luo, ChengchenLiu, Hoang Tu Nguyen, ”A Core-attach Based Method for Identifying Protein Complexesin Dynamic PPI Networks”, The 19th Pacific-Asia Conference on KnowledgeDiscovery and Data Mining. 2015.5.19-2015.5.22, 228-239. (EI, CCF C)

DCA.zip

7、Jiawei Luo, Juan Wu, "A new algorithm for essential proteins identification based on the integration of protein complex co-expression information and edge clustering",INT J DATA MIN BIOIN,2015,12(3):257-274 (SCI)

8Cheng Liang, Jiawei Luo, Dan Song, ”Network simulation reveals significant contribution ofnetwork motifs to the age-dependency of yeast protein-protein interactionnetworks”, Molecular Biosystems, 2014, 10(9):2277-2288. (SCI )

9Jiawei Luo, GuanghuiLi, Dan Song, Cheng Liang, ”CombiMotif: A new algorithm for network motifs discoveryin protein–protein interaction networks”, Physica A: Statistical Mechanics andIts Applications, 2014,416:309-320. (SCI)

10Jiawei Luo, LingKuang, ”A new method for predicting essential proteins based ondynamic network topology and complex information”, Computational Biology andChemistry, 2014, 52:34-42. (SCI)

CDLC.zip

11Jiawei LUO Xiaoshuang LIANG, ”Discovering Co-regulated Modules Based on Protein Interaction and Transcriptional Regulatory Networks”, Journal of Computational Information Systems, 2015Vol.11(8):3041-3049.(EI)

CRMD.zip

12Jiawei Luo, QiongChen, ”Enhancing the prioritization of candidate disease genesvia integrating multiple network”, Current Bioinformatics, 2015(已录用). (SCI)

13Jiawei Luo, NanZhang, ”Prediction of essential proteins based on edgeclustering coefficient and gene ontology information”, Journal of BiologicalSystems, 2014,22(1):1-13. (SCI)

14Thi-ThietPham, JiaweiLuo, Tzung-Pei Hong, Bay Vo, ”An efficient method for mining non-redundant sequentialrules using attributed prefix-trees”, Engineering Applications of Artificial Intelligence, 2014, 32:88-99. (SCI)

15Jiawei Luo, Shunmin Liu, A Novel Essential Protein IdentificationAlgorithm Based on the Integration of Local Network Topology and Gene Ontology, Journal of Computational and TheoreticalNanoscience, 2014, 11(3):619-624. (SCI, EI)

GO_ELAC.zip

16Jiawei Luo, Guanghui Li, Dan Song, ChengLiang, Integrating Functional and TopologicalProperties to Identify Biological Network Motif in Protein InteractionNetworks,Journal of Computational andTheoretical Nanoscience, 2014, 11(3):744-750.  (SCI, EI)

17Vo Van, Luo Jiawei, Vo Bay, Prediction techniques based on linearregression and sequential minimal optimization for stream time series, ICIC Express Letters, 2014, 8(1):15-21.(SCI, EI)

18Jiawei Luo, MiaoWei, ”An Accelerated Network Motif Detection Algorithm usingthe Structure of Basic Symmetric Subgraph”, Journal of ComputationalInformation Systems, 2014, 10(17):7315-7322. (EI )

19YueLi, Cheng Liang, Ka-Chun Wong, Jiawei Luo, Zhaolei Zhang, ”Mirsynergy: detecting synergisticmiRNA regulatory modules by overlapping neighbourhood expansion”, Bioinformatics, 2014,30(18): 2627-2635. (SCI,CCF B)

20Jiawei Luo, Dan Song, Cheng Liang,Guanghui Li,Model the evolution of proteininteraction network assisted with protein age,Journal of Theoretical Biology, 2013, 33:10-17.(SCI)

21Jiawei Luo, Ling Ma,A new integration-centric algorithm ofidentifying essential proteins based on topology structure of protein-proteininteraction network and complex information,Current Bioinformatics, 2013, 8(3):380-385.(SCI)

CSC.zip

22Humphrey Waita Njogu, Luo Jiawei, JaneNduta Kiere, Damien Hanyurwimfura, A comprehensive vulnerability basedalert management approach for large networks,Future Generation Computer Systems, 2013,29(1): 27-45. (SCI, EI)

23Jiawei Luo, Hanqi Zhou,A New Subgraph Sampling and MatchingAlgorithm for Probability Motifs Detection in PPI Networks, Information Technology Journal, 2013,12(7):1326-1333.(EI)

MotifFind.zip

24Pham Thi-Thiet, Luo Jiawei,Vo Bay,An effective algorithm for mining closedsequential patterns and their minimal generators based on prefix trees,International Journal of IntelligentInformation and Database Systems, 2013,7(4):324-339. (EI)

25Jiawei Luo, Fengrong Zhu,Sampling Network Motif DetectionAlgorithm Based on Subgraph Extending and Subgraph Support Value,Information Technology Journal, 2013,12(9):1811-1817.(EI)

Code.zip

26Jiawei Luo, Can Li,A Novel Method to Predict Protein Complexes Based on Gene Ontology inPPI Networks,Journal ofComputational Information Systems, 2013,9(12):5031-5039. (EI)

MCGO.zip

27Jiawei Luo, Weifeng Hu,A Core-Attachment Algorithm Based onExpected-Density and GO Terms to Detect Protein Complexes in UncertainProtein-Protein Interaction Networks, International Journal of DigitalContent Technology and its Applications, 2013,7(8):49-57.

COMDG.zip

28Luo Jiawei, Liu Yanlan,An Efficient Method for Casual SNPsDetection in Genome-Wide Case-Control Study,Journal of Computational andTheoretical Nanoscience, 2013,10(4): 853-858. (SCI, EI)

29、骆嘉伟, 梁成, 宋丹, 李光辉, “蛋白质相互作用网络演化模型研究进展,”计算机应用, 2013,33(3):816-820.


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