骆嘉伟
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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。
通信地址:湖南省长沙市岳麓区麓山南路2号,湖南大学信息科学与工程学院(410082)
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
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

主讲课程

    本科生课程:数据结构、算法设计与分析

    硕士生课程:高等数据结构与算法、数据挖掘

    博士生课程:智能优化算法


科研项目

1. 国家自然科学基金:MicroRNA对基因的调控作用及其与疾病关联关系的计算方法研究61873089),2019-2022,主持。

2. 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。

3. 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。

4. 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。

5. 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。

6. 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。

7. 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。

8. 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。

9. 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。

10.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。


近三年代表作

2018

1. Qiu Xiao ; Jiawei Luo* ; Cheng Liang; Jie Cai; Pingjian Ding, A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations, Bioinformatics, 2018, 34(2): 239~248 (SCI 高被引论文)

2. Ying Liu; Jiawei Luo* ; Pingjian Ding, Inferring MicroRNA Targets based on Restricted Boltzmann Machines, IEEE journal of Biomedical and health informatics, 2018, DOI:10.1109/JBHI.2018.2814609 (SCI)

3. Jiawei Luo*;Pingjian Ding; Cheng Liang; Xiangtao Chen, Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks, NEUROCOMPUTING,2018,294:29-38(SCI)

4. Jiawei Luo* ; Wei Huang; Buwen Cao, A novel approach to identify the miRNA-mRNA causal regulatory modules in Cancer, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018, 15(1): 309~315 (SCI)

5. Pingjian Ding; Jiawei Luo*; Cheng Liang; Qiu Xiao; Buwen Cao, Human disease MiRNA inference by combining target information based on heterogeneous manifolds, JOURNAL OF BIOMEDICAL INFORMATICS, 2018, 80: 26~36 (SCI) 

6.Luo, Jiawei*; Ying Yin; Pan, Chu; Xiang, Gen; Nguyen Hoang Tu, Identifying Functional Modules in Co-Regulatory Networks Through Overlapping Spectral Clustering, IEEE TRANSACTIONS ON NANOBIOSCIENCE, 2018, 17(2): 134~144 (SCI)

7. Jiawei Luo*; Ding Lv; Cheng Liang; Nguyen Hoang Tu,  An Efficient Network Motif Discovery Approach for Co-Regulatory Networks, IEEE ACCESS, 2018, 6: 14151~14158 (SCI)

 

2017

1. Jiawei Luo* ; Pingjian Ding; Cheng Liang; Buwen Cao; Xiangtao Chen, Collective prediction of disease-associated miRNAs based on transduction learning, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017, 14(6): 1468~1475 (SCI)

2. Pingjian Ding ; Jiawei Luo* ; Cheng Liang; Jie Cai; Ying Liu; Xiangtao Chen, A Novel Group Wise-Based Method for Calculating Human miRNA Functional Similarity , IEEE ACCESS, 2017, 5: 2364~2372 (SCI)

3.  Luo, Jiawei*; Xiao, Qiu, A novel approach for predicting microRNA-disease associations by unbalanced bi-random walk on heterogeneous network , JOURNAL OF BIOMEDICAL INFORMATICS, 2017, 66: 194~203 (SCI) 

4. Luo, Jiawei*; Xiang, Gen; Pan, Chu, Discovery of microRNAs and

Transcription Factors Co-Regulatory Modules by Integrating Multiple Types of Genomic Data , IEEE TRANSACTIONS ON NANOBIOSCIENCE, 2017, 16(1): 51~59 (SCI)

5. Zhiming Liu ; Jiawei Luo*, Genome-wide predicting disease-related protein complexes by walking on the heterogeneous network based on data integration and laplacian normalization , COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2017, 69: 41~47 (SCI)

6. Jiawei Luo*; Qiu Xiao; Cheng Liang; Pingjian Ding, Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data , IEEE ACCESS, 2017, 5: 2503~2513 (SCI)

7.  Zakouni, Amiyne ; Luo, Jiawei*; Kharroubi, Fouad* , Genetic algorithm and tabu search algorithm for solving the static manycast RWA problem in optical networks , JOURNAL OF COMBINATORIAL OPTIMIZATION, 2017, 33(2): 726~741 (SCI)

8. Luo, Jiawei* ; Liu, Chengchen, An Effective Method for Identifying Functional Modules in Dynamic PPI Networks , CURRENT BIOINFORMATICS, 2017, 12(1): 66~79 (SCI)

9. 骆嘉伟; 宋丹; 蔡洁; 王伟胜; 刘智明, 一种基于功能模块的疾病关联因子识别方法及系统(申请并进入实审), 2017.1.18, 中国, N201710035109.2 (发明专利)

 

2016

1. Liang, Cheng ; Li, Yue; Luo, Jiawei* , A Novel Method to Detect Functional microRNA Regulatory Modules by Bicliques Merging , IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2016, 13(3): 549~556 (SCI)

2. Cao, Buwen ; Luo, Jiawei* ; Liang, Cheng; Wang, Shulin; Ding, Pingjian, PCE-FR: A Novel Method for Identifying Overlapping Protein Complexes in Weighted Protein-Protein Interaction Networks Using Pseudo-Clique Extension Based on Fuzzy Relation , IEEE TRANSACTIONS ON NANOBIOSCIENCE, 2016, 15(7): 728~738 (SCI)

3.  Jiawei Luo*; Cong Huang; Pingjian Ding, A Meta-Path-Based Prediction Method for Human miRNA-Target Association. , Biomed Res Int, 2016, 2016:7460740 (SCI) 

4. Luo, Jiawei*; Lin, Dingyu; Cao, Buwen, A cell-core-attachment approach for identifying protein complexes in yeast protein-protein interaction network , JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2016, 31(2): 967~978 (SCI)

5.  Ding, Pingjian ; Luo, Jiawei*; Xiao, Qiu; Chen, Xiangtao, A path-based measurement for human miRNA functional similarities using miRNA-disease associations , SCIENTIFIC REPORTS, 2016, 6: 32533 (SCI) 

6. Buwen Cao ; Jiawei Luo*; Cheng Liang; Shulin Wang, Detecting overlapping protein complexes in weighted protein-protein interaction networks using pseudo-clique extension based on fuzzy relation, International Joint Conference on Neural Networks, Vancouver, BC, 2016.7.24-2016.7.29

 

2015

1.  Jiawei 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)

2.  Liang, Cheng ; Li, Yue ; Luo, Jiawei* ; Zhang, Zhaolei*, A novel motif-discovery algorithm to identify co-regulatory motifs in large transcription factor and microRNA co-regulatory networks in human , BIOINFORMATICS, 2015, 31(14): 2348~2355 (SCI IF=5.481)

3. Cao, Buwen ; Luo, Jiawei* ; Liang, Cheng; Wang, Shulin; Song, Dan, MOEPGA: A novel method to detect protein complexes in yeast protein-protein interaction networks based on Multi Objective Evolutionary Programming Genetic Algorithm , COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2015, 58: 173~181 (SCI)

4.  Jiawei Luo*; Xiaoshuang Liang, Discovering co-regulated modules based on protein interaction and transcriptional regulatory networks , Journal of Computational Information Systems, 2015, 11(8): 3041~3049 (SCI)

5. Jiawei Luo* ; Juan Wu, A new algorithm for essential proteins identification based on the integration of protein complex co-expression information and edge clustering coefficient , International Journal of Data Mining and Bioinformatics, 2015, 12(3): 257~274 (SCI)

6. Luo, Jiawei*; Liang, Shiyu, Prioritization of potential candidate disease genes by topological similarity of protein-protein interaction network and phenotype data , JOURNAL OF BIOMEDICAL INFORMATICS, 2015, 53: 229~236 (SCI)

7.  Luo, Jiawei*; Liu, Chengchen; Hoang Tu Nguyen, A Core-Attach Based Method for Identifying Protein Complexes in Dynamic PPI Networks , 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), John Neumann Inst, Ho Chi Minh City, 2015.5.19-2015.5.22

8. Hisham Albukhaiti ; Jiawei Luo* , A Feature Selection Approach for Classifying Diseases Based on Medical Data, 2015 Global Conference on Biological Engineering and Biomedical, Shanghai, Shanghai, 2015.1.17-2015.1.18

 

2014

1. Jiawei Luo* ; Guanghui Li; Dan Song; Cheng Liang, CombiMotif: A new algorithm for network motifs discovery in protein-protein interaction networks , Physica A: Statistical Mechanics and Its Applications, 2014, 416: 309~320 (SCI)

2.  Lin, Hongli*; Wang, Weisheng; Luo, Jiawei; Yang, Xuedong, Development of a Personalized Training System Using the Lung Image Database Consortium and Image Database Resource Initiative Database , ACADEMIC RADIOLOGY, 2014, 21 (12): 1614~1622 (SCI)

3.  Li, Yue* ; Liang, Cheng ; Easterbrook, Steve; Luo, Jiawei ; Zhang, Zhaolei, Investigating the functional implications of reinforcing feedback loops in transcriptional regulatory networks , MOLECULAR BIOSYSTEMS, 2014, 10(12): 3238~3248 (SCI)

4.  Li, Yue* ; Liang, Cheng ; Wong, Ka-Chun; Luo, Jiawei ; Zhang, Zhaolei*, Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion , BIOINFORMATICS, 2014, 30(18): 2627~2635 (SCI IF=5.481)

5.  Liang, Cheng ; Jiawei, Luo* ; Song, Dan, Network simulation reveals significant contribution of network motifs to the age-dependency of yeast protein-protein interaction networks , MOLECULAR BIOSYSTEMS, 2014, 10(9): 2277~2288 (SCI)

6. Luo, Jiawei* ; Wei, Miao, An accelerated network Motif detection algorithm using the structure of basic symmetric subgraph , Journal of Computational Information Systems, 2014, 10(17): 7315~7322 (SCI)

7. Luo, Jiawei* ; Zhang, Nan, PREDICTION OF ESSENTIAL PROTEINS BASED ON EDGE CLUSTERING COEFFICIENT AND GENE ONTOLOGY INFORMATION , JOURNAL OF BIOLOGICAL SYSTEMS, 2014, 22(3): 1~13 (SCI)

8. Luo Jiawei* ; Liu Shunmin, A Novel Essential Protein Identification Algorithm Based on the Integration of Local Network Topology and Gene Ontology , JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE, 2014, 11(3): 619~624 (SCI) 

9. Luo, Jiawei* ; Li, Guanghui; Song, Dan; Liang, Cheng, Integrating Functional and Topological Properties to Identify Biological Network Motif in Protein Interaction Networks , JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE, 2014, 11(3): 744~750 (SCI) 

10. Lin, Hongli* ; Yang, Xuedong ; Wang, Weisheng; Luo, Jiawei , A Performance Weighted Collaborative Filtering algorithm for personalized radiology education , JOURNAL OF BIOMEDICAL INFORMATICS, 2014, 51: 107~113 (SCI) 

11. Luo, Jiawei* ; Kuang, Ling, A new method for predicting essential proteins based on dynamic network topology and complex information , COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2014, 52: 34~42 (SCI) 

12. Thi-Thiet Pham ; Luo, Jiawei* ; Tzung-Pei Hong; Bay Vo , An efficient method for mining non-redundant sequential rules using attributed prefix-trees , ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2014, 32: 88~99 (SCI)