CHENG Hong

By: / From: Shanghai Lixin University of Accounting and Finance/ Date:0120,2021/ View:10Set up the

CHENG Hong

 

 

TitleAssistant Professor (Director of Financial Statistics Department)

School of Statistics and Mathematics

Shanghai Lixin University of Accounting and Finance,

No. 995 Shangchuan Rd, Shanghai.

Tel: (86-21) 50218609

Email: chenghong@lixin.edu.cn

 

AREAS OF INTEREST

Teaching: Machine Learning, Mathematical Statistics, Data Mining with Python

Research: Computational and Theoretical Neuroscience, Causality Inference, Machine Learning

 

EDUCATION BACKGROUND

09/2011 - 03/2015  Shanghai Jiaotong University

Doctor of Science (Mathematics)

09/2009 - 06/2011  Shanghai Jiaotong University

Master of Science (Applied Mathematics)09/2004 - 06/2008  Jiangxi Science and Technology Normal UniversityBachelor of Science (Electronic and Information Engineering)

 

HONORS AND GRANTS

Shanghai Sailing Scholar (2016)

Teaching Achievement Award(2019)

Outstanding Competition Instructor Award(2019)

 

EXPERIENCE

08/2018-Prenent   Research Advisor; HuiDing Data Co., Ltd, Shanghai

10/2017-08/2018  Visiting Academic Research Scholar, Courant Institute of Mathematical Sciences, New York University, Advisor: David Cai

 

                   

Full Time

5 years

05/2015-Present   Assistant Professor, School of Statistics and Mathematics, Shanghai Lixin University of Accounting and Finance

 

Courses Taught

Machine Learning, Mathematical Statistics, Data Mining with Python, Statistics

 

PUBLICATIONS

1. Hong Cheng, Lin Chen. (2014), A Holistic Approach for Efficient Contour Detection, Journal of Computer Science and Technology, 29 (6): 1038-1047.  

2. Hong Cheng, Lan Guo. (2015) , Local Largest Lyapunov Exponent is critical to threshold voltage and refractory period. Italian Journal of Pure and Applied Mathematics, Vol (34):189-200.

3. Hong Cheng, Wenjie Pan. (2018) , A Study on the Relativity of Stock Market Based on Copula’s Granger Causality Test in Quantiles (Chinese). The Journal of Quantitative Economics, Vol (2):78-101.

4. Xiaojuan He, Wenjie Pan, & Hong Cheng. (2019). An advertisement click-through rate prediction model based on ensemble learning (Chinese). Computer Engineering & Science, 041(012), 2278-2284.

5. Hong Cheng. (2020), Theory and Application of statistical Causal inference Model: Based on brain network and Financial market research (Chinese). Book, Economic Science Press. ISBN: 978-7-5141-6222-6

6. Hong Cheng, Tinggan Yang. (2020), Research on contagion among stock markets of east Asian based on conditional Granger causality in quantile (Chinese). Journal of System Engineering. Accepted

7. Hong Cheng, David Cai, Douglas Zhou. (2020), The Extended Granger Causality Analysis for Hodgkin-Huxley Neuronal Models. Chaos. Accepted


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