Jianfeng Yang (杨建峰)
Address:
Weijin Road No.94, Nankai Dist., Tianjin 300071, China
Office:
Room 423, Institute of Statistics
Email:
jfyang(at)nankai(dot)edu(dot)cn
Homepage:
Working and Education Experience
Associate Professor, Institute of Statistics, Nankai University, May 2015-Present
Associate Professor, Department of Statistics, School of Mathematical Sciences, Nankai University, Jan. 2014-May 2015
Assistant Professor, Department of Statistics, School of Mathematical Sciences, Nankai University, Sep. 2007-Dec. 2013
Visiting Scholar, Department of Statistics, University of Wisconsin- Madison, Sep. 2010-Feb. 2011
PhD, Department of Statistics, School of Mathematical Sciences, Nankai University, Sep. 2002-July 2007
BSc, Department of Applied Mathematics, Hebei University of Technology, Sep. 1998-July 2002
Teaching
Fields of Research/Interest
Design of Experiments / Computer experiment
Variable selection and dimension reduction
Multivariate statistical data analysis
Research Grants
Principal Investigator of
“Design
and Analysis of Complex Computer Experiments (复杂计算机试验的设计与分析)”,
National Natural Science
Foundation of China, Grant No. 11471172,
Jan. 2015 - Dec. 2018
“Study
on Some New Problems of Experimental Design (试验设计某些新问题的研究)”,
National Natural Science
Foundation of China, Grant No. 11101024,
Jan. 2012 - Dec. 2014
“Design,
Analysis and Application of Computer Experiments (计算机试验的设计、分析及应用)”,
Fundamental Research Funds for the Central Universities, Grant No. 65011361,
July 2011 - June 2013
Papers and Preprints
Yang, J.F., Li, P.F., Liu, M.Q. and Zhang, R.C. (2006). 2^{(n1+n2)-(k1+k2)} Fractional factorial split-plot designs containing clear effects. Journal of Statistical Planning and Inference, 136, 4450-4458. [FullText] [SCI]
Yang, J.F., Zhang, R.C. and Liu, M.Q. (2007). Construction of fractional factorial split-plot designs with weak minimum aberration. Statistics & Probability Letters, 77, 1567-1573. [FullText] [SCI]
Yang, J.F., Liu, M.Q. and Zhang, R.C. (2009). Some results on fractional factorial split-plot designs with multi-level factors. Communications in Statistics-Theory and Methods, 38, 3623–3633. [FullText] [SCI]
Wei, J.L., Yang, J.F., Li, P. and Zhang, R.C. (2010). Split-plot designs with general minimum lower-order confounding. Science China-Mathematics, 53(4), 939-952.[FullText] [SCI]
Yang, J.F., Sun, F.S., Lin, Dennis K.J. and Liu, M.Q. (2010). A study on design uniformity under errors in the level values. Statistics & Probability Letters, 80, 1467-1471.[FullText] [SCI]
Liu, Y, Yang, J.F. and Liu, M.Q. (2011). Isomorphism check in fractional factorial designs via letter interaction pattern matrix. Journal of Statistical Planning and Inference, 141, 3055-3062. [FullText] [SCI]
Zhang, T.F., Yang, J.F. and Lin, Dennis K.J. (2011). Small Box-Behnken designs. Statistics & Probability Letters, 81, 1027-1033. [Supplemental Materials] [FullText] [SCI]
Wei, J.L. and Yang, J.F. (2012). A simple algorithm in GMC theory. 5th International Institute of Statistics and Management Engineering Symposium 2012: Data-Driven Mangement Science under Developing, IISMES 2012. [EI]
Yang, J.F., Lin, C.D., Qian, P.Z.G. and Lin, D.K.J. (2013). Construction of sliced orthogonal Latin hypercube designs. Statistica Sinica, 23(3), 1117-1130. [FullText] [SCI]
Wei, J.L. and Yang, J.F. (2013). On simplifying the calculations leading to designs with general minimum lower-order confounding. Metrika, 76(5), 723-732.[FullText] [SCI]
Gu, L. and Yang, J.F. (2013). Construction of nearly orthogonal Latin hypercube designs. Metrika, 76(6), 819-830. [Matlab Code] [FullText] [SCI]
Yang, J.F., Zhang, R.C. and Liu, M.Q. (2013). Construction of optimal blocking schemes for robust parameter designs. Acta Mathematica Scientia (Series B), 33(5), 1431-1438. [FullText] [SCI]
Huang, H.Z., Yang, J.F. and Liu, M.Q. (2014). Construction of sliced (nearly) orthogonal Latin hypercube designs. Journal of Complexity, 30(3), 355-365. [FullText] [SCI,EI]
Wang, L., Yang, J.F., Lin, Dennis K.J. and Liu, M.Q. (2015). Nearly orthogonal Latin hypercube designs for many design columns. Statistica Sinica, 25(4), 1599-1612.[FullText] [SCI]
Lin, J.G., Chen, X.P., Yang, J.F., Huang, X.F. and Zhang, Y.S. (2015). Generalized variable resolution designs. Metrika, 78, 873-884. [FullText] [SCI]
Chen, X.P., Lin, J.G., Yang, J.F. and Wang, H.X. (2015). Construction of main-effect plans orthogonal through the block factor. Statistics & Probability Letters, 106, 58-64. [FullText] [SCI]
Zhang, T.F., Yang, J.F., Li, Z.M. and Zhang, R.C. (2015). Construction of regular 2^{n}4^{1} designs with general minimum lower-order confounding. Communications in Statistics-Theory and Methods, accepted on Apr. 27, 2015. [FullText] [SCI,EI]
Qi, A.J., Qi, Z.F., Yang, J.F. and Zhang, Q.Z. (2015). A three-stage variable selection method for supersaturated designs. Communications in Statistics-Simulation and Computation, accepted on May 4, 2015. [FullText] [SCI,EI]
Huang, H.Z., Lin, Dennis K.J., Liu, M.Q. and Yang, J.F. (2015). Computer experiments with both qualitative and quantitative variables. Technometrics, available online Oct. 30, 2015. [FullText] [Supp][SCI,EI]
Yang, X., Yang, J.F., Lin, Dennis K.J. and Liu, M.Q. (2016). A new class of nested orthogonal Latin hypercube designs. Statistica Sinica. [SCI]
Qi, Z.F., Yang, J.F., Liu, Y. and Liu M.Q. (2016). Construction of uniform designs on irregular regions. Communications in Statistics-Theory and Methods, accepted on Apr. 8, 2016.
Zhang, T.F., Li, Z.M., Yang, J.F. and Zhang, R.C. (2016). Construction of some mixed two- and four-level regular designs with GMC criterion. Communications in Statistics-Theory and Methods, accepted on Mar. 16, 2016.
Yang, J.F. (2014). Sliced (nearly) orthogonal Latin hypercube designs with flexible number of slices. submitted.
Gao, Y., Qi, Z.F., Yang, J.F. and Yang, J.Y. (2016). Algorithmic construction of nearly column-orthogonal designs. submitted on Feb. 25, 2016.
Published book
王兆军, 刘民千, 邹长亮, 杨建峰译 (2009). 计算统计, 人民邮电出版社 (Givens, G. H. and Hoeting, J. A. (2005). Computational Statistics, John Wiley & Sons).
张润楚, 刘民千, 杨建峰, 李鹏, 刘玉坤译 (2009). 试验应用统计—设计、创新和发现, 机械工业出版社 (Box, G. E. P., Hunter, J. S. and Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.), John Wiley & Sons).