Lingsong Zhang

Associate Professor of Statistics, Department of Statistiscs, Purdue University
Joint appointment at Regenstrief Center for Healthcare Engineering, Purdue University

Contact Information

Telephone: (765) 494-7913
Email: lingsong AT purdue DOT edu
    Department of Statistics
    Purdue University
    150 N. University St.
    West Lafayette, IN, 47907


Research (website; Google citation)

  • Statistical Methodology
    • Machine Learning and Big Data Analysis
      High Dimensional Inference
      Functional and Object Oriented Data Analysis
      Data Visualization
      Scale Space Inference
  • Applications
    • Network Traffic
      Healthcare Engineering

Teaching (website)

  • STAT 50300 Statistical Methods for Biology
    • 2010 Spring, 2011 Spring and Fall
  • STAT 51100 Statistical Methods
    • 2012 Spring, 2013 Spring, 2015 Spring and Fall, 2017 Fall
  • STAT 59800 Topic Course: Functional Data Analysis
    • 2014 Spring
  • STAT 59800 Topic Course: Functional Data Analysis and Statistical Imaging
    • 2016 Spring

Awards and Honors

  • Elected member, International Statistical Institute
  • Team Award, College of Science, Purdue University
  • Outstanding Assistant Professor Teaching Award, Department of Statistics, Purdue University
  • A Seed For Success Award, Purdue University
  • Excellence in Teaching Award, Department of Statistics and Operations Research, University of North Carolina
  • Student Paper Award, Sections on Statistical Computing and Statistical Graphics, American Statistical Association

Publication (Journal, Peer-reviewed Proceeding and Bookchapter)

You can access my publication list website (password protected) to get preprints or reprints.
  1. Sun, H., Craig, B.A., and Zhang, L. (2017), Angle-based Multicategory Distance-weighted SVM, Journal of Machine Learning Research, forthcoming
  2. McComb, S., Tian, Z., Nuti, L., Sands, L., Turkcan, A., Zhang, L. and Lawley, M. A., (2017) Cancelled Primary Care Appointments: A Prospective Cohort Study for Diabetic Patients.Journal of Medical Systems, 41(4), 53.
  3. Foli, K.J., Woodcox, S., Kersey, S., Zhang, L., and Wilkinson, B. (2017), Trauma-Informed Parenting Classes Delivered to Rural Kinship Parents: A Pilot Study, Journal of the American Psychiatric Nurses Association, doi: 10.1177/1078390317730605
  4. Wan, H., Zhang, L., Witz, S., Musselman, K. J., Yi, F., Mullen, C.J., Benneyan, J.C., Zayas-Castro, J.L., Rico, F., Cure, L.N. and Martinez, D.A., (2016), A literature review of preventable hospital readmissions: Preceding the Readmissions Reduction Act, IIE Transactions On Healthcare Systems Engineering, 6(4), pp. 193-211.
  5. Szucs, K.A., Ahmed, A., Roumani, A. M., Zhang, L. and King, D.E., (2016) The Effect of Interactive Web-based Breastfeeding Monitoring on Breastfeeding Outcomes: A randomized control trial. Journal of Obstetric, Gynecologic & Neonatal Nursing, 45(2), pp. 143-154.
  6. Faraway, J., Mahabaly, A., Sun, J., Wang, X., Wang, Y. and Zhang, L., (2016) Modeling light curves for improved classification. Statistical Analysis and Data Mining, 9(1), pp. 1-11.
  7. Qiao, X., and Zhang, L., (2015) Flexible High-dimensional Classification Machines and Their Asymptotic Properties, Journal of Machine Learning Research, 16, pp. 1547−1572
  8. Qiao, X., and Zhang, L., (2015) Distance Weighted Support Vector Machine, Statistics and Its Interface, 8, pp. 331-345.
  9. Nuti, L., Turkcan, A., Lawley, M.A., Zhang, L., Sands, L. and McComb, S., (2015) The Impact of Interventions on Appointment and Clinical Outcomes for Diabetic Patients: A Systematic Review, BMC Health Services Research15, pp. 355
  10. Zhang, L., Lu, S. and Marron, J. S., (2015) Nested Nonnegative Cone Analysis, Computational Statistics and Data Analysis, 88, pp. 100-110.
  11. Fu, M., Zhang, L., Ahmed, A. M., Plaut, K., Haas, D.M., Szucs, K. and Casey, T. M., (2015), Does circadian disruption play a role in the metabolic-hormonal link to delayed lactogenesis II?, Frontiers in Nutrition, 2:4. doi: 10.3389/fnut.2015.00004.
  12. Zhang, L. and Wang, Y. (2014) Visualizing Singular Value Decomposition, WIREs Computational Statistics, 6(3), pp. 197-201.
    • published online before print on March 14, 2014. DOI 10.1002/wics.1295
  13. Zhang, L., Zhu, Z. and Marron, J. S. (2014) MultiResolution Anomaly Detection Method for Fractional Gaussian Noise, Journal of Applied Statistics, 41(4), pp. 769-784.
    • Published online on October 21, 2013. An early version is available at Arxiv.
  14. Zhang, L., Shen, H. and Huang, J. Z. (2013) Robust Regularized Singular Value Decomposition with Application to Mortality Data, Annals of Applied Statistics, 7(3), pp. 1540-1561.
  15. Zhang, L. and Zhu, Z. (2013) Spatial Multiresolution Cluster Detection Method, Statistics and Its Interface, 6(1), pp 65-78.
  16. Cao, Y., Zhang, L. and Sun, D. (2013) An Enhancement to the Linear Dynamic System Model for Air Traffic Forecasting, Proceedings of American Institute of Aeronautics and Astronautics (AIAA) Conference on Guidance, Navigation and Control, Boston MA, Aug. 2013.
  17. Cao, Y., Zhang, L. and Sun, D. (2013) Air Traffic Prediction Based on the Kernel Density Estimation, Proceedings of American Control Conference , Washington D.C., June 17-19.
  18. Zhang, L. and Lin, X. (2013) Some considerations of classification for high dimension low-sample size data, Statistical Methods in Medical Research, 22(5), pp. 536-549.
    • Published online before print on November 23, 2011, doi:10.1177/0962280211428387
  19. Nuti, L., Lawley, M., Turkcan, A., Tian, Z., Zhang, L., Chang, K., Willis, D. R., and Sands, L. (2012) No-Shows to Primary Care Appointments: Subsequent Acute Care Utilization among Diabetic Patients, BMC Health Services Research, 12(1), 304.
  20. Turkcan, A., Nuti, L, DeLaurentis, P. C., Tian, Z., Zhang, L., Lawley, M. and Sands, L. (2012), Models and Methods to Account for No-shows in Outpatient Clinics, in Healthcare Operations Management: A Handbook of Methods and Applications, Springer.
  21. Wu, M. C., Zhang, L., Wang, Z., Christiani, D. C. and Lin, X. (2009) Sparse linear discriminant analysis for simultaneous testing for the significance of a gene set/pathway and gene selection, Bioinformatics, 25(9), pp. 1145-1151.
    • An early version of this paper won 2008 student paper award of ASA Sections on Statistical Computing and Statistical Graphics, 2008 ICSA applied statistics symposium student paper award
  22. Wang, Z., Chen, F., Zhai, R., Zhang, L., Su, L., Lin, X., Thompson, B. T. and Christiani, D. C. (2009), Plasma Neutrophil Elastase and Elafin Imbalance Is Associated with Acute Respiratory Distress Syndrome (ARDS) Development, PLoS ONE, 4(2): e4380. doi:10.1371/journal.pone.0004380.
  23. Zhang, L., Zhu, Z., Jeffay, K., Marron, J. S. and Smith, F. D. (2008), MultiResolution Anomaly Detection for the Internet, Proceedings of IEEE INFOCOM Workshop on Auto mated Network Management, Phoenix, AZ, April 18, 2008.
  24. Zhang, L., Marron, J. S., Shen, H. and Zhu, Z. (2007), Singular Value Decomposition and its Visualization Journal of Computational and Graphical Statistics, vol. 16, no. 4, pp. 833-854.
    • An early version of this paper won 2005 student paper award of ASA Sections on Statistical Computing and Statistical Graphics
  25. Terrell, J. and Zhang, L., Jeffay, K., Nobel, A., Shen, H., Smith, F. D., Zhu, Z. (2005), Multivariate SVD Analyses for Network Anomaly Detection, SIGCOMM Poster Proceeding (Refereed), Philadelphia, August, 2005. (Co-first author)
  26. Lu, X. Zhang, L. and Chen, X. (2003), Using the Disclosed Financial Information to Forecast Future Sale, Modern Economic Science, No.1. pp. 44-50. (in Chinese)
  27. Lu, X., Chen, X., Zhang, L. and Liu, H. (2001), The Forecasting Ability of the Basic Financial Information for the Future Revenue from China's Listed Companies, Economic Science, No.6. pp. 53-62. (in Chinese)

Other publications and Technical Reports

  1. Zhang, L. and Lin, X. (2013), Multivariate Statistical Methods in Bioinformatics Research, in Basics of Bioinformatics, Lecture Notes of the Graduate Summer School on Bioinformatics of China, Tsinghua University Press and Springer-Verlag, pp 163-231.
  2. Musselman, K., Pope, B., Tian, Z., Witz, S., Zhang, L., Leon, L., and Davis, A., (2015), System-wide prediction of general, all-cause preventable readmissions, RCHE Publications, 58.


(If the download link is not available, please contact Lingsong for the manuscripts)
  1. Pope, B. and Zhang, L., Non-Clinical Determinants of Hospital Readmissions.

Codes or Software Packages

Interesting links