陈圣磊 Chen Shenglei

发布者：太阳娱乐集团官网-见好就收发布时间：2017-02-24浏览次数：6056

太阳娱乐集团官网-见好就收

最后学位：南京理工大学工学 博士

岗位职称： 副教授                             

AutoShape 2

研究领域：数据挖掘与机器学习

教学课程：程序设计语言、数据结构、面向对象程序设计  

办公室：敏达楼426

电  话：86-025-58318568

Email ：tristan_chen@126.com

通讯地址：南京市浦口区雨山西路86号

邮  编：211815


学习简历

1996.09-2000.07 南京理工大学  制造工程学院 机制工艺与设备专业   工学学士

2000.09-2003.03 南京理工大学  制造工程学院 机械制造与自动化专业 工学硕士

2003.03-2007.1  南京理工大学  计算机学院   计算机应用技术专业   工学博士


工作简历

2014/10-至今     太阳娱乐集团官网-见好就收 经济与贸易学院电子商务系   副教授

2012.07-2013.08  澳大利亚莫纳什大学 信息技术学院       高级访问学者

2007.02-2014/10  太阳娱乐集团官网-见好就收  信息科学学院电子商务系  讲师


主持参与课题

AutoShape 6

1. 大数据分类中的贝叶斯网络属性选择模型与算法研究，江苏省高校自然科学研究面上项目,项目批准号：14KJB520019（主持人）

2. 基于最小二乘的强化学习算法研究，江苏省高校自然科学研究面上项目，项目批准号：07KJD520092（主持人）

3. 基于自适应半监督学习的多粒度生物关系提取文本挖掘技术研究，江苏省自然科学研究项目，项目批准号：BK2012472（参与，排名2/6）

4. 文本多粒度关系抽取半监督自适应学习的研究，国家自然科学基金项目，项目批准号：61202135（参与，3/8）


发表论文

AutoShape 7

  1. Shenglei Chen, Geoffrey I. Webb, Linyuan Liu, Xin Ma. A Novel Selective Naive Bayes Algorithm. Knowledge-Based Systems,2020，192，105361(CCF推荐目录C类)

  2. Shenglei Chen, Ana M. Martínez, Geoffrey I. Webb, Limin Wang. Sample-based Attribute Selective AnDE forLarge Data. IEEE Transactions on Knowledge and Data Engineering, 2017, 29(1):172–185. (CCF推荐目录A类)

  3. Shenglei Chen, Ana M. Martinez, Geoffrey I. Webb, Limin Wang. Selective AnDE for Large Data Learning: a Low-Bias Memory Constrained Approach. Knowledge and Information System, 2017,50(2):475-503. (CCF推荐目录B类)

  4. Ana M. Martínez, Geoffrey I. Webb, Shenglei Chen, Nayyar A. Zaidi. Scalable learning of Bayesian network classifiers. Journal of Machine Learning Research. 2016, 17(44):1-35.(CCF推荐目录A类)

  5. 刘毅，陈圣磊，冯国富，黄兵，夏德深. 基于图割的低景深图像自动分割. 自动化学报，2015，41(8)：1471-1481

  6. Shenglei Chen, Ana M. Martínez, Geoffrey I. Webb. Highly Scalable Attribute Selection for Averaged One-Dependence Estimators, Proceedings of 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)，2014，86-97 (CCF推荐目录C类)

  7. Shenglei Chen, Geng Chen, Ruijun Gu. An efficient L2-norm regularized least-squares temporal difference learning algorithm, Knowledge-Based Systems, 2013，45:94-99（SCI2区，Indexed: WOS:000318384200010)(CCF推荐目录C类)

  8. 陈圣磊，陈耿，薛晖. 最小二乘支持向量机分类的稀疏化方法研究. 计算机工程，2011，37（22）：145-147

  9. 陈圣磊，谷瑞军，陈耿，薛晖. 基于TD(λ)的自然梯度强化学习算法. 计算机科学，2010, 37(12):186-189.

  10. 陈圣磊，李卫红，姚娟. 基于最小二乘的Q(λ)强化学习算法. 计算机工程与应用，2008，44(34):47-50.

  11. Sheng-Lei Chen, Yan-Mei Wei. Least-Squares SARSA(λ) Algorithms for Reinforcement Learning. Proceedings of the 4th International Conference on Natural Computation (ICNC). Jinan. 2008: 632-636.

  12. 陈圣磊，吴慧中，肖亮，朱耀琴. 协同设计任务调度的多步Q学习算法. 计算机辅助设计与图形学学报. 2007, 19(3):398-402

  13. 陈圣磊，吴慧中，肖亮，朱耀琴. 基于Metropolis准则的多步Q学习算法与性能仿真. 系统仿真学报, 2007, 19(6):1284-1287.

  14. 陈圣磊，吴慧中，韩祥兰，肖亮.　一种多步Q强化学习方法.　计算机科学，2006, 33(3): 147-150.

  15. 陈圣磊，吴慧中，韩祥兰，肖亮.　基于信念型承诺的Agent协作机制研究与应用.　计算机工程，2006, 32(11): 37-39.

  16. Sheng-Lei Chen, Hui-Zhong Wu, Xiang-Lan Han, Liang Xiao. Collaborative Design Environment based on Multi-Agent.Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design. Coventry, UK. 2005: 481-485.

  17. Sheng-Lei Chen, Hui-Zhong Wu, Xiang-Lan Han, Liang Xiao. Multi-step truncated Q Learning Algorithm. Proceedings of the Fourth International Conference on Machine Learning and Cybernetics. Guangzhou. 2005: Volume 1, 194-198.


科研奖励

AutoShape 8

1.陈圣磊 2010年江苏省“青蓝工程”优秀青年骨干教师


出版著作

AutoShape 9

1.陈耿，景波，陈圣磊，冯国富，计算机审计，东北财经大学出版社， 第1版，2012年6月1日


Shenglei Chen

Associate Professor

Department of E-Commerce

School of Economics

Nanjing Audit University

No. 86 West Yushan Road

Pukou District, Nanjing, 211815

Jiangsu Province, P.R. China

Email: tristan_chen@126.com

 

EDUCATION

Mar.2003–Jan. 2007  Ph.D. in Computer Science and Engineering, Nanjing University of Science and Technology Nanjing

Sep.2000–Mar 2003   M.A. in Mechanical Manufacturing and Automation, Nanjing University of Science and Technology Nanjing

Sep.1996–Jun. 2000   B.A.in Mechanical Manufacturing Process and Equipment, Nanjing University of Science and Technology Nanjing

 

WORK EXPERIENCE

Oct. 2014-                   School of Economics and Trade, Nanjing Audit University, Associate Professor

July. 2012- Aug. 2013 Monash University, Melbourne, Australia, Visiting Scholar

Feb. 2007- Oct. 2014       School of Information Technology, Nanjing Audit University, Lecturer

 

TEACHING

C Programming Language

Data Structure

Object Oriented Programming

 

RESEARCH INTERESTS

  1. Data Mining

  2. Machine Learning

  3. Bayes Learning

     

    PUBLICATIONS    

  4. Shenglei Chen, Geoffrey I. Webb, Linyuan Liu, Xin Ma. A Novel Selective Naive Bayes Algorithm. Knowledge-Based Systems,2020，192，105361(CCF推荐目录C类)

  5. Shenglei Chen, Ana M. Martínez, Geoffrey I. Webb, Limin Wang. Sample-based Attribute Selective AnDE for Large Data. IEEE Transactions on Knowledge and Data Engineering, 2017, 29(1):172–185 (SCI)

  6. Shenglei Chen, Ana M. Martinez, Geoffrey I. Webb, Limin Wang. Selective AnDE for Large Data Learning: a Low-Bias Memory Constrained Approach. Knowledge and Information System, 2017,50(2):475-503 (CCF推荐目录A类)

  7. Ana M. Martínez, Geoffrey I. Webb, Shenglei Chen, Nayyar A. Zaidi. Scalable learning of Bayesian network classifiers. Journal of Machine Learning Research. 2016, 17(44):1-35. (CCF推荐目录A类)

  8. Yi Liu, Shenglei Chen, Guofu Feng, Bing Huang, Deshen Xia, Automatic Segmentation of Images with Low Depth of Field Based on Graph Cuts, ACTA Automatica Sinica, 2015，41(8)：1471-1481 (in Chinese)

  9. Shenglei Chen, Ana M. Martinez, Geoffrey I. Webb. Highly Scalable Attribute Selection for Averaged One-Dependence Estimators, PAKDD, 2014，pp.86-97

  10. Shenglei Chen, Geng Chen, Ruijun Gu. An efficient L2-norm regularized least-squares temporal difference learning algorithm, Knowledge-Based Systems, 45:94-99 (2013) (CCF推荐目录C类)

  11. Sheng-Lei Chen, Geng Chen, Hui Xue. Sparsification Approach for Least Squares Support Vector Machine Classification. Computer Engineering. 2011,37(22) (in Chinese)

  12. Sheng-Lei Chen, Rui-Jun Gu, Geng Chen, Hui Xue. Natural Gradient Reinforcement Learning Algorithm with TD(λ). Computer Science. 2010, 37(12):186-189. (in Chinese)

  13. Sheng-Lei Chen, Wei-Hong Li, Juan Yao. A Least-Squares Based Q(λ) Algorithm For Reinforcement Learning. Computer Engineering and Applications. 2008，44(34):47-50. (in Chinese)

  14. Sheng-Lei Chen, Yan-Mei Wei. Least-Squares SARSA(λ) Algorithms for Reinforcement Learning. Proceedings of the 4th International Conference on Natural Computation. Jinan. 2008: 632-636.

  15. Sheng-Lei Chen, Hui-Zhong Wu, Liang Xiao, Yaoqin Zhu. Multi-step Q Learning Algorithm for Task Scheduling in Collaborative Design. Journal of Computer-Aided Design and Computer Graphics. 2007, 19(3):398-402 (in Chinese)

  16. Sheng-Lei Chen, Hui-Zhong Wu, Liang Xiao, Yaoqin Zhu. Simulated Annealing Metropolis Policy-based Multi-step Q Learning Algorithm and Performance Simulation. Journal of System Simulation. 2007, 19(6):1284-1287 (in Chinese)

  17. Sheng-Lei Chen, Hui-Zhong Wu, Xiang-Lan Han, Liang Xiao. A Multi-step Q Reinforcement Learning Algorithm. Computer Science. 2006, 33(3): 147-150. (in Chinese)

  18. Sheng-Lei Chen, Hui-Zhong Wu, Xiang-Lan Han, Liang Xiao. Research and Application of Agent Cooperation Mechanism based on Belief Commitment. Computer Engineering. 2006, 32(11): 37-39. (in Chinese)

  19. Sheng-Lei Chen, Hui-Zhong Wu, Xiang-Lan Han, Liang Xiao. Collaborative Design Environment based on Multi-Agent.Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 24-26 May, 2005, Coventry, UK.

  20. Sheng-Lei Chen, Hui-Zhong Wu, Xiang-Lan Han, Liang Xiao. Multi-step truncated Q Learning Algorithm. Proceedings of 2005 International Conference on Machine Learning and Cybernetics, 18-21 Aug, 2005, Guangzhou, China. Volume 1, 194-198.

     

    RESEARCH PROJECTS

  21. “Research on attribute selection model and algorithms in Bayes network classification for big data”, Natural Science Foundation of Jiangsu Higher Education Institutions of China under Grant 14KJB520019, Role: PI

  22. “Research on reinforcement learning algorithms based least-squares”, Natural Science Foundation of Jiangsu Higher Education Institutions of China under Grant 07KJD520092, Role: PI

     

    HONORS & AWARDS

    2010      Excellent Young Teacher of Qinglan Talents Project, Jiangsu