澳门新葡游戏
最后学位:南京理工大学工学 博士
岗位职称: 副教授
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:shenglei.chen@nau.edu.cn
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 澳门新葡游戏 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 澳门新葡游戏 信息科学学院电子商务系 讲师
主持参与课题
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
1. Chen S, Ma X, Liu L, et al. Selective AnDE based on attributes ranking by Maximin Conditional Mutual Information (MMCMI)[J]. Journal of Experimental & Theoretical Artificial Intelligence, 2023, 35(1):151–170. (SCI4区)
2. Chen S, Zhang Z, Liu L. Attribute Selecting in Tree-Augmented Naive Bayes by Cross Validation Risk Minimization. Mathematics. 2021; 9(20):2564. (SCI4区)
3. 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)
4. 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)
5. 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)
6. 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)
7. 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
8. 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)
9. Shenglei Chen, Geng Chen, Ruijun Gu. An efficient L2-norm regularized least-squares temporal difference learning algorithm, Knowledge-Based Systems, 2013,45:94-99(CCF推荐目录C类)
荣获奖励
1. 2010年获得江苏省“青蓝工程”优秀青年骨干教师称号
2. 2023年获得澳门新葡游戏国际学院佳源奖教金
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
Data Mining
Machine Learning
Bayes Learning
PUBLICATIONS
1. Chen S, Ma X, Liu L, et al. Selective AnDE based on attributes ranking by Maximin Conditional Mutual Information (MMCMI)[J]. Journal of Experimental & Theoretical Artificial Intelligence, 2023, 35(1):151–170. (SCI)
2. Chen S, Zhang Z, Liu L. Attribute Selecting in Tree-Augmented Naive Bayes by Cross Validation Risk Minimization. Mathematics. 2021; 9(20):2564. (SCI)
3. Shenglei Chen, Geoffrey I. Webb, Linyuan Liu, Xin Ma. A Novel Selective Naive Bayes Algorithm. Knowledge-Based Systems,2020,192,105361(SCI)
4. 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)
5. 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 (SCI)
6. 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. (SCI)
7. 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)
8. Shenglei Chen, Ana M. Martinez, Geoffrey I. Webb. Highly Scalable Attribute Selection for Averaged One-Dependence Estimators, PAKDD, 2014,pp.86-97
9. Shenglei Chen, Geng Chen, Ruijun Gu. An efficient L2-norm regularized least-squares temporal difference learning algorithm, Knowledge-Based Systems, 45:94-99 (2013) (SCI)
RESEARCH PROJECTS
1. “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
2. “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
2023 Jiayuan Scholarship for teaching, IJAI, NAU