CHENG Hong
Title:Assistant 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