Publisher:吴佳慧Time:2022-06-13 views:60



2004-2008 Ph.D, The University of Manchester, Electrical and Electronic Engineering

2002-2003 M.Sc, Sheffield University, Control and Systems Engineering

1997-2001 B.Eng, Xidian University, Automatic Control 

Working Experience:

2017 -   associate dean, International Business School, Zhejiang Gongshang University

2014 -  assistant dean, professor, School of Finance, Zhejiang Gongshang University 

2009 - 2014  associate professor, School of Finance, Zhejiang Gongshang University

2008 - 2009  lecture, School of Finance, Zhejiang Gongshang University

Research Interests:

Machine Learning, Self-Organizing Map, Capital Market, Behavioral Finance



1. Ni H., Wang YQ, Xu BY, Self-Organizing Gaussian Mixture Map Based on Adaptive Recursive Bayesian Estimation,Intelligent Automation & Soft Computing2020, 26: 227-236. SCI

2. Fu P. , Zhu A. , Ni H. ,  Zhao X.,  Li X. , Threshold behaviors of social dynamics and financial  outcomes of ponzi scheme diffusion in complex networks,Physica A: Statistical Mechanics and its Applications, 2018,490:632-642. SSCI

3. Ni H., Luan T.,  Cao Y., Finlay D.,Can venture capital trigger innovation? New evidence from China, International Journal of Technology Management, 2014,65:189-214. SSCI

4.Ni H.,Stock index tracking by Pareto efficient genetic algorithm,Applied Soft Computing,2013,13:4519-4535. SCI

5. Wang Y., Ni H., Wang S.,Multiple-v support vector regression based on spectral risk measure minimization,Neurocomputing,2013,101:217-228. SCI

6. Ni H.,Heuristic genetic algorithm for optimizing an index tracking portfolio, Systems Engineering-Theory & Practice2013, 10:2645-2653.CSSCI.EI

7. Wang Y., Ni H., Multivariate convex support vector regression with semidefinite programming, Knowledge Based System,2012,30:87-94.SCI

8. Wang Y., Ni H., Wang S. ,Nonparametric bivariate copula estimation based on shape-restricted support vector regression,Knowledge Based System,2012,35:235-244. SCI

9. Ni H.,Exchange rate volatility prediction by an extended self-organizing mixture model,
Control Theory & Applications,2010,27:444-450. EI

10. Ni H., Yin H., A Self-Organising Mixture Autoregressive Network for FX Time Series Modelling and Prediction, Neurocomputing,2009,72, 3529-3537. SCI

11. Ni H., Yin H., Exchange rate prediction using a hybrid neural networks and trading indicators, Neurocomputing, 2009,72:2815-2823.SCI

12. Ni H., Yin H., Self-organising mixture autoregressive model for non-stationary time series modelling, International Journal of Neural Systems, 2008,18:1-12. SCI

13. Ni H., Yin H.,Recurrent Self-Organising Maps and Local Support Vector Machine Models for Exchange Rate Prediction,Advances in Neural Networks - ISNN 2006, Lecture Notes in Computer Science, 2006,3973:504-511.  SCI