Zengyan Fan

Dr Fan Zengyan

Lecturer, Data Science Programme

School of Science and Technology

Tel: +65 6248 9639

Email: enlmYW5Ac3Vzcy5lZHUuc2c=

Educational Qualifications

2017
PhD (Statistics), Nanyang Technological University, Singapore

Academic and Professional Experience

2020 - Present
Lecturer, School of Science & Technology, SUSS

2017 - 2019
Research Fellow, Department of Statistics and Applied Probability, NUS

Z. Yao, Z. Fan, M. Hayashi and W. F. Eddy. (2020)
Quantifying time-varying sources in Magnetoencephalography – a discrete approach. Annals of Applied Statistics. to appear.

H. Lian, Z. Fan. (2018)
Divide-and-conquer for debiased l1-norm support vector machine in ultra-high dimensions. The Journal of Machine Learning Research. 18 (1), 6691-6716.

Z. Fan and H. Lian. (2018)
Quantile regression for additive coefficient models in high dimensions. Journal of Multivariate Analysis. 164, 54-64.

Z. Fan and H. Lian. (2017)
Interquantile shrinkage in additive models. Journal of Nonparametric Statistics. 29 (3), 561-576.

H. Lian and Z. Fan. (2016)
Minimax convergence rates for kernel CCA. Journal of Multivariate Analysis. 150, 183-190.

H. Lian, J. Meng and Z. Fan. (2015)
Simultaneous estimation of linear conditional quantiles with penalized splines. Journal of Multivariate Analysis. 141, 1-21.

H. Lian and Z. Fan. (2015)
Estimation of a sparse and spiked covariance matrix. Journal of Nonparametric Statistics. 27, 241-252.

L. Zhao and Z. Fan. (2013)
The number of small amplitude limit cycles in arbitrary polynomial systems. Journal of Mathematical Analysis and Applications. 407 (2), 237-249.

2019 - Present
Reviewer for International Journal of Machine Learning and Cybernetics

2016 - 2017
Member, American Statistical Association

2015 - 2016
Member, Statistical Society of Australia

  • High dimensional statistical problems
  • Functional neuroimaging data analysis
  • Non-Euclidean data analysis
  • Network data analysis
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