Yicheng Kang

  • Assistant Professor, Mathematical Sciences
  • Ph.D. in Statistics University of Minnesota - Twin Cities
  • M.S. in Mathematics University of British Columbia, Canada
  • B.S. in Mathematics Wuhan University, China

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.

Bio

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.

Awards and Honors

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

    Journal Articles


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


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

  • Other(s)


  • Kang, Y. (2018). DRIP: Discontinuous Regression and Image ProcessingThe Comprehensive R Archive Network (CRAN). (Link)
  • Presentations

  • Kang, Y. (2021). “Statistical Quality Control Using Image Intelligence: A Sparse Learning Approach” Presented at the INFORMS Annual Meeting 2021 Virtual
  • Kang, Y. (2021). “Measuring Timeliness of Annual Reports Filing by Jump Additive Models” Presented at the Wuhan University Research Seminar at School of Mathematics and Statistics Virtual
  • Kang, Y. (2021). “Measuring Timeliness of Annual Reports Filing by Jump Additive Models” Presented at the McGill University Research Seminar at Department of Mathematics and Statistics Virtual
  • Kang, Y. (2020). “Measuring Timeliness of Annual Reports Filing by Jump Additive Models” Presented at the Beijing Jiaotong University 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 The 33rd New England Statistics Symposium Hartford, CT
  • Kang, Y. (2018). “Errors-in-Variables Jump Regression Using Unsupervised Learning” Presented at theInternational Indian Statistical Association 2018 Conference Gainesville, FL
  • Service

    Department Service


  • Committee Member for Research Committee 2021 - Present
  • 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 Quality and Reliability Engineering International 2021 - Present
  • 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
  • Conference/Workshop Organizer for American Statistical Association Joint Statistical Meeting 2021 Topic Contributed Session - Recent Research in High-Dimensional and Complex Data Analysis 2021 - 2021