Hu Yang 

Doctor 

Associate professor

master tutor

Department: Accounting Department

Research fields and directions: Complex network and social Computing, Big Data Analysis and statistical Computing, Machine learning,

Email: hu.yang@cufe.edu.cn

Education and research experience

September 2011 - June 2014 Doctor of Statistics, School of Statistics, Renmin University of China

September 2004 - December 2007 Master of Software Engineering, School of Computer Science, National University of Defense Technology

September 2001 - June 2004 Bachelor of Engineering, Marine Engineering College, Dalian Maritime University

Work experience

October 2017-present Associate Professor, School of Information, Central University of Finance and Economics

October 2018 - October 2019 Visiting Scholar, Department of Biostatistics, University of Minnesota, USA

July 2014 - October 2017 Lecturer, School of Information, Central University of Finance and Economics

May 2013-February 2014 Visiting scholar, School of Public Health, Aarhus University, Denmark

April 2008 - April 2011 Yulong Computer Communication Technology (Shenzhen) Co., LTD. Engineer

Course teaching

Teaching courses at school:

1. Master courses: Business and Economic Statistics, Advanced Engineering Mathematics

2. Undergraduate courses: "Application of Big Data and Visualization Technology in Finance", "Internet Thinking and Ecology", "Computing and Statistical Learning Theory", "Basis of Data Analysis (R Language)", "Statistical Modeling Analysis and Prediction", "Network Marketing", "Introduction to E-commerce", "Database Principle and Application", "Application of Excel in Economic Management"

3. Moocs (Open online courses) : R Language Data Analysis and Mining, Python Language Economy and Business Statistics

Scientific research project

1. The late funded project of National Social Science Foundation: A Study on the Characteristics and Performance of Multi-scale Complex Networks of Venture Capital in China (2023-2025), in research, and in charge.

2. The Seventh Batch of Young Research and Innovation Team Support Program of Central University of Finance and Economics: Intelligent Model, Algorithm and Management Application of Data-driven and knowledge-driven Integration (2023-2025), in research, hosted.

3. Central University of Finance and Economics, "Young Talents" Training Support Program: Regularization Statistical Methods for Big Data with Complex Structures (2019-2022), Conclusion, Host.

4. Key project of the National Statistical Science Research Project: Research on Dimensionality Reduction and Application of High-dimensional Data Based on Network Structure (2019-2020), Conclusion, Host.

5. National Natural Science Foundation of China Youth Science Foundation Project: Research on Regularization Statistical Methods for High-dimensional Big Data (2018-2020), Conclusion, Host.

6. Alibaba Living Water Plan: International Comparative Research on the Development of Big Data for Health Care (2018-2019), Conclusion, Host.

7. Central University of Finance and Economics Youth Development Fund Key Project: Construction and Application of High-dimensional Data Grouping Variable Selection Model (2015-2017), Conclusion, Host.

8. Beijing Jiuqi Software: Statistical Model of Decision Support Platform for Comprehensive Management of the Elderly population in China Scientific Research Center on Aging (2016-2017), Conclusion, Host.

9. Beijing Jiuqi Software: Statistical Modeling Consulting Service of Competition and Expert Decision Service System of China Building Materials Federation (2015-2016), Conclusion, Host.

10. Project commissioned by the Information Center of the Ministry of Agriculture: Research on Big data analysis methods of Internet + Agricultural product market early warning (2015-2016), Conclusion, Host.

Research achievement

1.       The double-edged sword of delivery guarantee in E-commerce. Decision Support Systems, 2023: 114042.  The first author.

2.       A novel hybrid model for gasoline prices forecasting based on lasso and cnn. Journal of Social Computing,  2023.  The first author.

3.       A graph convolutional neural network for gene expression data analysis with multiple gene networks,  Statistics in Medicine, 2021, 40(2), First author and correspondence.

4.       Using weighted k-means to identify Chinese leading venture capital firms incorporating with centrality  measures, Information Processing & Management, 2020, 57(2):102083, first author.

5.       Studies on the clustering algorithm for analyzing gene expression data with a bidirectional penalty. Journal of Computational Biology. 2017, 24(4): 689-698, first author.

6.       Cluster data streams with noisy variables. Communications in Statistics:  Simulation and Computation. 2016, 45(4): 1381-1396, first author.

7.       Studies of the adaptive network-constrained linear regression and its application. Computational Statistics &  Data Analysis. 2015, 92(C): 40-52, First author.

8.       Does foreign aid reduce the country's risk of OFDI?  The Chinese experience, International Studies of Economics. 2022, Third author.

9.       Increased utilisation of primary healthcare in persons exposed to severe stress in prenatal life:  a national population-based study in Denmark. BMJ open, 5.1.2015: e005657, second author.

10. Does Foreign Aid promote OFDI? - From the Perspective of Country Risk, Nankai Economic Research, 2023, Second author.

11. Research on Cooperative Strategy and Investment Decision of Mass Maker Space, Start-up Enterprise and Venture Capital, Journal of Management Engineering, 2023, fourth author.

12. A study on the impact of Foreign Aid on the export capacity of firms: China's Experience, Comparison of Economic and Social Systems, 2022, Corresponding author.

13. Can Fintech investment improve bank performance? -- From the perspective of non-performing Loan Risk, Foreign Economics and Management, 2022, Third author.

14. Digital Financial Penetration and Household Debt Expansion in China: Transmission mechanisms based on mortgage and Consumption, Journal of Wuhan University, 2022, Second author.

15. Promote the integration of social computing research and social science theory. Chinese Journal of Social Sciences, 2020, (2040), first author.

16. Bibliometric analysis of bidirectional clustering method. World Science and Technology: Modernization of Traditional Chinese Medicine, 2018, First author.

17. The influence of noise characteristics on the internal validity of clustering. Computer Science, 2018, 45(7), First author.

18. Research on block filling algorithm for high dimensional correlation missing data, Computer Science and Exploration, 2017(10): 32-44, second author.

Social part-time job

1. Associate editor of Journal of social computing

2. Member of the Professional Committee of Social Computing and Social Intelligence, Chinese Society for Artificial Intelligence

3. Member of the Chinese Medicine Quality Optimization Branch of China Association for the Promotion of International Medical Care Exchange