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Yicheng Kang

Assistant Professor, Mathematical Sciences
Ph.D. in Statistics, University of Minnesota - Twin Cities, 2013
M.S. in Mathematics, University of British Columbia, Canada, 2010
B.S. in Mathematics, Wuhan University, China, 2008
Office: Morison Hall 390 | 781.216._7102 |

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Yicheng Kang does research in applied statistics and business analytics. Before joining Bentley, he was a statistician at JPMorgan and worked on models for interest rate and securitized products.

Research Interests

Business Analytics, Statistical Image Analysis, Statistical Quality Control and Quality Management

Consulting/Practice Interests

Applied statistical analysis and modeling; Business analytics; Quantitative finance.

Awards and Honors

2021, Best Paper Award, 24th World Conference of Air Transport Research Society
2012, Alumni Fellowship, School of Statistics, University of Minnesota


Journal Article(s)
Shi, Y., Huang, J., Jiao, Y., Kang, Y., Zhang, H. (2021). Generalized Newton-Raphson Algorithm for High Dimensional LASSO Regression. Statistics and Its Interface, 14 (3), 339 - 350.

Kang, Y., Shi, Y., Jiao, Y., Li, W., Xiang, D. (2021). Fitting Jump Additive Models. Computational Statistics and Data Analysis, 162, 12.

Xiang, D., Li, W., Tsung, F., Pu, X., Kang, Y. (2021). Fault Classification for High-dimensional Data Streams: A Directional Diagnostic Framework Based on Multiple Hypothesis Testing. Naval Research Logistics, 68 (7), 973 - 987.

Kang, Y. (2020). Consistent Blind Image Deblurring Using Jump-Preserving Extrapolation. Journal of Computational and Graphical Statistics, 29 (2), 372-382.

Kang, Y. (2020). Measuring Timeliness of Annual Reports Filing Using Jump Additive Models. The Annals of Applied Statistics, 14 (4), 1604-1621.

Kang, Y., Gong, X., Gao, J., Qiu, P. (2019). Errors-in-Variables Jump Regression Using Local Clustering. Statistics in Medicine, 38 (19), 3642-3655.

Kang, Y., Mukherjee, P. S., Qiu, P. (2018). Efficient Blind Image Deblurring Using Nonparametric Regression And Local Pixel Clustering. Technometrics, 6 (4), 522-531.

Zhang, J., Kang, Y., Yang, Y., Qiu, P. (2015). Statistical monitoring of the hand, foot and mouth disease in China. Biometrics, 71 (3).

Kang, Y., Gong, X., Gao, J., Qiu, P. (2015). Jump detection in generalized errors-in-variables regression with an application to Australian health tax policies. The Annals of Applied Statistics, 9 (2), 883--900.

Qiu, P., Kang, Y. (2015). Blind image deblurring using jump regression analysis. Statistica Sinica, 25 (3), 879 -- 899.

Kang, Y., Qiu, P. (2014). Jump detection in blurred regression surfaces. Technometrics, 56 (4), 539-550.

Book Chapters
Kang, Y, Qiu, P. (2021). Nonparametric Deconvolution by Fourier Transformation and Other Related Approaches. In Yi, G., Delaigle, A. and Gustafson, P. (Eds.), Handbook on Measurement Error Models. CRC press

Conference Paper(s)
Liu, Z., Lin, S., Kang, Y. (2018). The Effect of Shortened Reporting Lag on the Usefulness of Form 20-F. American Accounting Association, International Accounting Section Midyear Meeting of American Accounting Association.

Kang, Y. (2018). DRIP: Discontinuous Regression and Image Processing. The Comprehensive R Archive Network (CRAN) (link)

Conference Presentations

Kang, Y. (2020). "Measuring Timeliness of Annual Reports Filing by Jump Additive Models." Presented at the Beijing Jiaotong University's The 5th International Conference on Statistical Optimization and Learning, China (Virtual).

Kang, Y. (2019). "Measuring Timeliness of Annual Reports Filing by Jump Additive Models." Presented at the University of Connecticut's The 33rd New England Statistics Symposium, Hartford, CT.

Kang, Y. (2018). "Errors-in-Variables Jump Regression Using Unsupervised Learning." Presented at the International Indian Statistical Association 2018 Conference, Gainesville, FL.


Department Service
Center for Quantitative Analysis, 2019 - Present
Committee Member for Search Committee, 2019 - 2019

University Service
Committee Member for Grad Curriculum Committee, 2020 - Present
Committee Member for Nominations Committee, 2020 - 2023

Professional Service
Reviewer, Journal Article for Statistical Inference for Stochastic Processes (SISP), 2020 - Present
Reviewer, Journal Article for Biometrical Journal, 2019 - Present
Reviewer, Journal Article for Statistics in Medicine, 2018 - Present
Reviewer, Journal Article for Technometrics, 2015 - Present
Reviewer, Journal Article for Journal of Statistical Computation and Simulation, 2014 - Present
Committee Member for Technometrics Prize Committee, 2021 - 2023