Directory

Prof. Lilun DU

Prof. Lilun DU

Assistant Professor, Business Statistics

dulilun@ust.hk

Academic qualification

  • PhD 2015, The University of Wisconsin-Madison, Statistics
  • M.S. 2010, Nankai University, Statistics
  • B.S. 2007, Nankai University, Mathematics

ACADEMIC AND PROFESSIONAL EXPERIENCE

  • Assistant Professor of ISOM, Hong Kong University of Science and Technology, 2015-present

SELECTED PUBLICATIONS

Articles

  • Du, L., Guo, X., Sun, W. and Zou, C. (2021), "False Discovery Rate Control Under General Dependence by Symmetrized Data Aggregation", Journal of American Statistical Association, forthcoming.
  • Li, Q., Yu, P. and Du, L., (2021), "Separation of Perishable Inventories in Offline Retailing through Transshipment", Operations Research, forthcoming.
  • Du, L. and Hu, I. (2020), "An Empirical Bayes Method for Chi-Squared Data", Journal of American Statistical Association, forthcoming.
  • Du, L. and Li, Q., "A Data-Driven Approach to High-Volume Recruitment: Application to Student Admission", Manufacturing and Service Operations Management, 22 (5), 942-957.
  • Du, L., and Zhang, C. M., "Single-index Modulated Multiple Testing", Annals of Statistics, 42, 4, 2014, 1262-1311

PACKAGES

  • R package 'sdafilter' for the SDA paper is available at GitHub.
  • R package 'EBCHS' for the chi-squared paper (Du and Hu, 2020) is available at GitHub.

SERVICE ACTIVITIES WITHIN COLLEGE AND PROFESSION

  • Reviewer, Annals of Statistics, Biometrika, Journal of American Statistical Association, and others.

RESEARCH INTERESTS

  • Large-scale inference
  • Dynamic decision
  • Empirical bayes methods

HONORS

  • Hong Kong RGC General Research Fund (GRF)(2021-2023, PI), "A Unified Framework for Multiple Testing with Auxiliary Information: a Sample-splitting Approach"
  • Hong Kong RGC General Research Fund (GRF)(2021-2023, Co-I), "High-Volume Recruiting: Theory and Applications"
  • Dean's Recognition of Excellent Teaching Performance, HKUST Business School, 2019
  • Dean's Recognition of Excellent Teaching Performance, HKUST Business School, 2018
  • Hong Kong RGC Early Career Scheme (ECS) (2016-2019, PI), "Dynamic False Discovery Rate with Application to Sequential and Spatial Pattern Detection"
  • Travel Award, the Institute of Mathematical Statistics (IMS) (2014)
  • Honorable Mention, the Mathematical Contest in Modeling (MCM) (2007)
  • First Class Award, National High School Mathematical Olympic Contest (2002)