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彭嘉續 助理教授

作者: | 發布日期:2020-11-17| 浏覽次數:

一、基本信息  

 

中央财經大學會計學院會計信息化系  講師  

 

電子郵箱:pengjiaxu@cufe.edu.cn                  

 

通訊地址:北京市海澱區學院南路39号主教學樓會計學院(郵編:100081  

 

二、教育背景    

 

20151-20209月,新加坡國立大學,信息系統與分析專業,博士  

 

20129-20151月,北京航空航天大學,管理科學與工程專業,碩士  

 

20089-20126月,石家莊鐵道大學,數學與應用數學專業,學士  

 

三、主要工作經曆    

 

202011-至今,中央财經大學,會計學院,講師  

 

四、學術研究興趣與領域    

 

實證研究中的統計分析,機器學習及其在财務信息分析中的應用,社會網絡研究  

 

五、科研成果    

 

(一)工作論文    

 

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)期刊論文    

 

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)學術會議    

 

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、獎勵及榮譽    

 

新加坡國立大學研究生獎學金2015-2019)、北京市優秀畢業生(2015)、國家獎學金(2014)、河北省優秀畢業生(2012)等  

 

 

 

 

 

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