Information System and Operation Management
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FENG Xiangnan

Hits: Date:2020-12-10 11:32

Curriculum Vitae(简历)

 

Feng Xiangnan

 

CONTACT (联系方式)

 

四川省成都市二环路北一段111

西南交通大学经济管理学院

传真: +86 -28-87600543

信息系统系

邮箱:fengxiangnan123@swjtu.edu.cn

邮编:610031

 

Southwest Jiaotong University

School of Economics and Management

Fax:+86 -28-87600543

Department of Information Systems

E-mail:fengxiangnan123@swjtu.edu.cn

No.111, North Erhuan Road, Chengdu, China 610031

EDUCATION (教育背景)

 

A. 博士哲学,香港中文大学,2017

B. 硕士哲学,香港中文大学,2014

C. 学士理学,香港中文大学,2012

 

A. Ph.D. Philosophy , The Chinese University of Hong   Kong, 2017

B. M.S. Philosophy , The Chinese University of   Hong Kong, 2014

C. B.S. Science, The Chinese University of Hong   Kong, 2012

EMPLOYMENT (工作经历)

 

A. 2017.07 – 至今,西南交通大学,经济管理学院

A. School   of Economics and Management, Southwest Jiaotong University, 7/2017 till now

RESEARCH INTEREST(研究兴趣)

 

大数据建模应用

Big   data's Modeling Application

PUBLCATIONSPAPERS & CASES)发表,包括文章和案例

[1] 曹炜威,冯项楠,李宜威,耿维,贾建民.基于客票数据的城际铁路出行方式选择行为研究[J].系统工程理论与实践:2019,   39: 1-12.

[2] 徐戈,冯项楠*,李宜威,陈晓红,贾建民. 雾霾感知风险与公众应对行为的实证分析[J].管理科学学报2017(9)1-14.

[3] 陈晓红, 徐戈,冯项楠,贾建民. 公众对于两型社会建设态度-意愿-行为分析[J].管理世界2016(12)90-101.

[4] Xu, G.,   Feng, X.N., Li, Y.W., Chen, X.H., and Jia, J.M. 2017. Environmental risk   perception and its influence on well-being. Invited paper by Chinese   Management Studies. 11: 35-50.

[5] Wang,   X.Q., Wu, H.T., Feng, X.N.*, Song, X.Y. 2018. Bayesian two-level model for   repeated partially ordered responses: Application to adolescent smoking   behavior analysis. Sociological Methods and Research. Forthcoming.

[6] Feng,   X.N., Wu, H.T., and Song, X.Y. 2017. Bayesian adaptive lasso for ordinal   regression with latent variables. Sociological Methods and Research. 46:   926-953.

[7] Feng,   X.N., Wu, H.T., and Song, X.Y. 2017. Bayesian regularized multivariate   generalized latent variable models. Structural Equation Modeling - A   Multidisciplinary Journal. 24: 341-358.

[8] Feng,   X.N., Wang Y.F., Lu B. and Song, X.Y. 2017. Bayesian regularized quantile   structural equation models. Journal of Multivariate Analysis. 154: 234-248.

[9] Feng,   X.N., Wang, G.C., Wang, Y.F., and Song, X.Y. 2015. Structure detection of   semiparametric structural equation models with Bayesian adaptive group Lasso.   Statistics in Medicine. 34: 1527-1547.

[10] Cao,   W.#, Feng, X.N.#, Zhang, H.# 2018. The structure and spatial properties of   high-speed railway network in China: a complex network perspective. Journal   of Rail Transport Planning & Management. Forthcoming.

[11] Li,   T.F., Xie, F.C., Feng, X.N., Ibrahim, J.G., and Zhu, H.T. 2018. Linear   regression on functional data with nonignorable missing responses.   StatisticaSinica. 28: 1867-1886.

[12] Cao,   W.W., Feng, X.N., and Zhang, H. 2019. The structural and spatial properties   of the high-speed railway network in China: A complex network perspective.   Journal of Rail Transport Planning & Management. 9: 46-56.

[13] Feng,   X.N., Lu, B., Song, and X.Y. 2019. Financial literacy and household finances:   A Bayesian two-part latent variable modeling approach. Journal of Empirical   Finance. 51: 119-137.

[14] Cao,   W.W., Feng, X.N., and Jia, J.M. 2019. Characterizing the Structure of the   Railway Network in China: A Complex Weighted Network Approach. Journal of   Advanced Transportation.

 

FUNDED PROJECTS 受资助项目

[1] 网络众筹情境下的社会影响的实证研究, 国家自然科学基金青年项目,   2019.01-2021.12, 19万,71802166,项目负责人。

[2] 雾霾感知风险与公众应对行为的实证研究,国家自然科学基金青年项目,   2018.01-2020.12, 20万,71704052,项目参与人。

[3] 变换结构方程模型的非参数贝叶斯分析,国家自然科学基金面上项目,   2015.01-2018.12, 60万,11471277,项目参与人。

 

[1]   Empirical research on social impact in the context of online crowdfunding,   National Natural Science Foundation of China, 2019.01-2021.12, 190,000,   71802166, project leader.

[2] An   empirical study on haze perceived risk and public coping behavior, National   Natural Science Foundation of China, 2018.01-2020.12, 200,000, 71704052,   project participants.

[3]   Nonparametric Bayesian analysis of transformed structural equation models,   National Natural Science Foundation of China, 2015.01-2018.12, 600,000,   11471277, project participants.

OTHER RESEARCH AND SCHOLARLY ACTIVITIES 各类其它学术、教学和应用实践类成果

a) Basic or   Discovery Scholarship学术类

l Research   awards学术获奖

[1]   2017年中国营销学术年会最佳论文

[1] 2017 China Marketing Academic Annual   Conference Best Papers