dst 20191206 pinghe

Dr. Ping HE
Associate Professor of Statistics
Division of Science and Technology
office: T3-401-R1

2002-2005 Hong Kong Baptist University, Doctor of Philosophy, Major in Probability and Statistics
1999-2002 College of Mathematics, Sichuan University, Postgraduate study in Probability and Statistics
1995-1999 College of Mathematics, Sichuan University, Bachelor in Applied Mathematics

Research Interests

Data Mining
Multivariate Analysis
Experimental Design
Statistical Simulation

Current Teaching

Data Mining

Selected Publications
  • A. M. Elsawah, Fang, K.T., P. He, Sharp lower bounds of various uniformity criteria for constructing uniform designs, Statistical Papers, to appear.
  • Zhang Jianyi, He Ping, Ken K.T. Tsang and Deng Yuhui, (2019), “Modeling of information diffusion in Sina Weibo based on Random Forest Classifier and SIR model”, In. Proc. Of International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), July 2019, Kunming, China.
  • A. M. Elsawah, K.T. Fang, P. He and H. Qin, (2017), Optimum addition of information to computer experiments in view of uniformity and orthogonality. Bull. Malays. Math. Sci. Soc.
  • Baozhang Ren, Yuhui Deng, Ping He and Kang T Tsang, (2017), The Comparison of Four Methods in Finding Influential Spreader in Social Network, In. Proc. of International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2017) , July 2017, Guilin, China.
  • J.J. Jiang, P. He, K.T. Fang, An Interesting Property of The Arcsine Distribution and Its Applications, (2015), Statistics and Probability Letters, 105, 88-95.
  • X.P. Cheng, H. Cai, P. He, R.T. Tian, (2013), Combination of effective machine learning techniques and Chemometric analysis for evaluation of Bupleuri Radix through high-performance thin-layer chromatography, Anal. Methods, 5, 325-330.
  • P. He, Kai-Tai Fang, Yi-Zeng Liang and Bo-Yan Li, (2005) A Generalized Boosting Algorithm and Its Application to Two-Class chemical Classification Problem, Analytical Chimica Acta . 543,181-191.
  • P. He, C.J. Xu, Y.Z. Liang and K.T. Fang, (2004) Improving the Classification Accuracy in Chemistry Via Boosting Technique, Chemometrics and Intelligent Laboratory Systems . 70,39-46.
  • P. He, K.T. Fang, Y.Z. Liang and C.J. Xu, (2003) The Decision Tree Combined with SIR and Its Applications to Classification of Mass Spectra, Journal of Data Science, 1, 425-445.
Grants and Projects
  • Principal investigator, Research on the general education for statistics in the big data era’, Guangdong Innovation and Enhancement Project.
  • Co-investigator, Research on information diffusion in online social networks, UIC Research Grant.
  • Principal Investigator, Application of Modern Statistical Methods in Chromatographic Fingerprint Analysis for Quality Assessment of Traditional Chinese Medicine, UIC Research Grant.
  • Co-investigator, Statistical study of microwave radiometer data from the Chinese Chang’E‐1 lunar orbiter,  UIC Research Grant.
  • Co-investigator, ‘Measure of uniformity, constructing uniform design and their application in statistical simulation’, UIC Research Grant.
  • Co-investigator, Individual and Institutional Trading and Stock Returns behavior: Evidence from China, University of Hong Kong Polytechnic Research Grant.