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彭嘉续 助理教授

作者: | 发布日期:2020-11-17| 浏览次数:

一、基本信息  

 

bwin必赢登录入口会计信息化系  讲师  

 

电子邮箱:pengjiaxu@cufe.edu.cn                  

 

通讯地址:北京市海淀区学院南路39号主教学楼bwin体育必赢(邮编:100081  

 

二、教育背景    

 

20151-20209月,新加坡国立大学,信息系统与分析专业,博士  

 

20129-20151月,北京航空航天大学,管理科学与工程专业,硕士  

 

20089-20126月,石家庄铁道大学,数学与应用数学专业,学士  

 

三、主要工作经历    

 

202011-至今,Bwin体育亚洲官网,bwin体育必赢,讲师  

 

四、学术研究兴趣与领域    

 

实证研究中的统计分析,机器学习及其在财务信息分析中的应用,社会网络研究  

 

五、科研成果    

 

(一)工作论文    

 

1.Handling Missing Values in Information Systems Research: A Review of Methods and Assumptions, available at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3560070  

 

2.Transfer Learning in Dynamic Business Environments: Trade-offs in Response to Changes            

 

 

 

(二)期刊论文    

 

1.Wang J., Peng, J. and Liu, O. (2015) “A Classification Approach for Less Popular Webpages Based on Latent Semantic Analysis and Rough Set Model,” Expert Systems with Applications, 42(1), pp. 642-648, DOI:10.1016/j.eswa.2014.08.013.            

 

2.Wang, J., Peng, J. and Liu, O. (2014) “Density-Based Rough Set Model for Hesitant Node Clustering in Overlapping Community Detection,” Journal of Systems Engineering and Electronics, 25(6), pp. 1089-1097, DOI:10.1109/JSEE.2014.00125.            

 

 

 

(三)学术会议    

 

1.Peng J. and Hahn J.(2020) “Transfer Learning in Dynamic Data Environments: Trade-offs in Response to Changes,” 2020International Conference on Information Systems (ICIS 2020), Conference via Zoom, December 13-16.            

 

2.Peng J. (2019) “Transfer Learning in Dynamic Business Environments: An Application in Earnings Forecast for Public Firms,” 2019International Conference on Information Systems (ICIS 2019), Munich, Germany, December 15-18, available at: https://aisel.aisnet.org/icis2019/data_science/data_science/6/.            

 

3.Peng J. and Hahn J. (2019) “Handling Nonignorable Missing Values in Information Systems Research: Toward Imputation with Machine Learning,” 2019 INFORMS Annual Meeting, Seattle, Washington, USA, October 20-23.            

 

4.Peng J. and Huang K. (2017) “A Semiparametric Missing Value Imputation Approach for Predictive Analytics,” 2017Workshop on Information Technologies and Systems (WITS 2017), Seoul, Korea, December 13-14.  

 

5.Wang, J., Peng, J. and Liu, O. (2014), “An Approach for Hesitant Node Classification in Overlapping Community Detection,” 2014Pacific Asia Conference on Information Systems (PACIS 2014), Chengdu, China, June 24-28, available at: https://aisel.aisnet.org/pacis2014/47/.  

 

       

 

六、奖励及荣誉    

 

新加坡国立大学研究生奖学金2015-2019)、北京市优秀毕业生(2015)、国家奖学金(2014)、河北省优秀毕业生(2012)等