
Professor in Decision Sciences
Deputy Director of Business Research and Training Center (Research Development and Collaboration)
- PhD in Industrial Engineering & Engineering Management, The Hong Kong University of Science & Technology, Hong Kong, 2002
- B.Sc in Mechanical Engieering & Automation, Xi-an Jiao Tong University, China, 1998
- Professor, Faculty of Business Administration, University of Macau, 2014~Present
- Associate Professor, Faculty of Business Administration, University of Macau, 2008~2014
- Assistant Professor, Faculty of Business Administration, University of Macau, 2002~2008
- Visiting Associate Professor, Department of MEEM, City University of Hong Kong, Sept. 2010-Jan. 2011
- Visiting Scholar, Department of Industrial Engineering & Engineering Management, HKUST, 2005.
- Visiting Scholar, Department of Industrial Engineering, Texas A&M University, 2002.
- Undergraduate Courses
- Quantitative Decision Analysis (ISOM3030)
- Statistical Quality Control (QMDS310)
- Quantitative Decision Analysis (QMDS300)
- Business Mathematics (MSOR100)
- Survey Calculus (MSOR103)
- Statistic I (MSOR210)
- Statistic II (MSOR211)
- Postgraduate Courses
- Business Decision Tools (IMB109)
- China Business Seminar & Field Study (IMB100)
- Business Decision Tools (IMBC102)
- “A False Discovery Approach for Scanning Spatial Disease Clusters with Arbitrary Shapes”, Best Application Paper in IISE Transactions focus on Quality and Reliability Engineering, 2018
- Long Service Award (2012, 2017)
- FBA Research Award, 2015
- Academic Staff Award, 2011
- “Weighted CUSUM Procedures that Account for Monotone Changes in Population Size”, Honorable Mention Award, IEEE on IEEM conference, 2010
- Direct Adimission to HKUST with a Postgraduate Studentship , 1998
- Graduation with Excellence, Xi’an Jiao Tong University, 1998
- High-dimensional Statistics
- Financial Engieering
- Statistical Quality Control
- Statistical Learning
- A Robust Control Chart for Phase I Monitoring of High-dimensional Mean Vectors, PI, FDCT/0033/2020/A1, Mop $987,000, PI, 2020-2023.
- A Distribution Free Control Chart for Monitoring High-Dimensional Processes base on Interpoint Distances, PI, MYRG2018-00087-FBA, Mop $834,000, 2019-2022.
- Improving minimum-variance portfolios based on Schatten norms, FDCT/0064/2018/A2, Mop $789,000, PI, 2019-2022.
- Efficient design and analysis of statistical control charts with dynamic control limits, FDCT/053/2015/A2, Mop $1,123,000, PI, 2016-2019.
- Statistical Monitoring and Diagnosis of High-Dimensional Processes, MYRG2016-00012-FBA, Mop $815,000, PI, 2017-2020.
- A Gradient Approach for Efficient Design and Sensitivity Analysis of Control Charts Under Shift Uncertainty, FDCT/002/2013/A, Mop $488,000, PI, 2013-2015.
- Accurate Evaluation of Control Charts under Skewed Distributions, PI, MYRG090(Y1-L2)-FBA13-SLJ, Mop $540,000, 2013-2016.
- Monitoring Count Data with Varying Sample Sizes, PI, MYRG096(Y1-L2)-FBA12-SLJ, Mop $560,000, 2012-2015.
- Surveillance Strategies for Detecting Increases in Incidence Rate based on Weighted CUSUM Procedures, PI, MYRG164(Y1-L3)-FBA11-SLJ, Mop $840,000, 2011-2013.
- A Robust CUSUM Approach to Monitoring Process Variance Changes, funded by the Research Committee of University of Macau, 2009-2010, Principal Investigator
- A New Resetting Scheme for the Exponentially Weighted Moving Average Control Chart, funded by the Research Committee of University of Macau, 2007-2009, Principal Investigator
- Statistical Process Control of Process Dispersion When Parameters Are Unknown, funded by the Research Committee of University of Macau, 2006-2007, Principal Investigator
- Adaptive Exponentially Weighted Moving Average Control Charts for Monitoring Process Variances, funded by the Research Committee of University of Macau, 2005-2006, Principal Investigator
- Monitoring Complex Data in Dynamic Systems, funded by the Research Committee of University of Macau, 2004-2005, Principal Investigator
- On the Monitoring of Process Mean over a Range of Shift Sizes, funded by the Research Committee of University of Macau, 2003-2004, Principal Investigator
- Dynamic Process Monitoring, funded by the Research Committee of University of Macau, 2002-2003, Principal Investigator
- 多元复杂时空数据建模与监控方法研究, NSFC #71672109, RMB480,000, Co-Investigator, 2017-2020.
- 质量管理中高维数据的统计过程控制研究, NSFC #71172131, RMB420,000, Co-investigator, 2012-2015.
- 长记忆过程转变点的监测及有自相关扰动项的过程调整研究, NSFC #71102145, RMB 220,000 Co-Investigator, 2012-2014.
- Shu, L., Apley, D. and Tsung, F. (2002). Triggered Cuscore Charts for Monitoring Autocorrelated Processes, Quality & Reliability Engineering International, 18, 411-421.
- Shu, L. and Tsung, F. (2003). On Multistage Statistical Process Control, Journal of Chinese Institute of Industrial Engineers, 20, 1-8.
- Shu, L., Tsung, F. and Kapur, K. (2004). Monitoring and Diagnosis with Multiple Cause-Selecting Control Charts, Quality Engineering, 16, 437-450.
- Shu, L., Tsung, F., and Tsui, K.-L. (2004). Run-Length Performance of Regression Control Charts with Estimated Parameters, Journal of Quality Technology, 36, 280-292, 2004.
- Shu, L., Tsung, F. and Tsui, K.-L. (2005). Effects of Estimation Errors on the Performance of Cause-Selecting Charts, IIE Transactions, 37, 559-567 (ABS3).
- Shu, L. and Jiang, W. (2006). A Markov Chain Model for the Adaptive CUSUM Control Chart, Journal of Quality Technology, 38, 135-147.
- Jiang, W., Shu, L. and Tsung, F. (2006). A Comparison of Joint Monitoring Schemes for APC-Controlled Processes, Quality & Reliability Engineering International, 22, 939-952.
- Shu, L., Jiang, W., and Wu, S. (2007). A One-Sided EWMA Control Chart for Monitoring Process Means, Communication in Statistics: Simulation and Computation, 36, 901-920.
- Shu, L. (2008). An Adaptive Exponentially Weighted Moving Average Control Chart for Monitoring Process Variances, Journal of Statistical Computation and Simulation, 78(4), 367-384.
- Shu, L., Jiang, W. and Tsui, K.-L. (2008). A Weighted CUSUM Chart for Detecting Patterned Mean Shifts, Journal of Quality Technology , 40, 194-213.
- Jiang, W., Shu, L. and Apley, D. (2008). Adaptive CUSUM Procedures with EWMA-based Shift Estimators, IIE Transactions, 40(10), 992-1103 (ABS3).
- He, F., Jiang, W., and Shu, L. (2008). Improved Self-Starting Control Charts for Short Runs, Quality Technology and Quantitative Management, 5(3), 289-308.
- Shu, L. and Jiang, W. (2008). A New EWMA Chart for Monitoring Process Dispersion, Journal of Quality Technology , 40, 319-331.
- Shu, L., Jiang, W. and Wu, Z. (2008). Adaptive CUSUM Procedures with Markovian Mean Estimation, Computational Statistics and Data Analysis , 52(9), 4395-4409 (ABS3).
- Wu Z., Khoo M. B. C., Shu, L. and Jiang W. (2009). An np Control Chart for Monitoring the Mean of a Variable Based on An Attribute Inspection, International Journal of Production Economics, 121(1), 141-147 (ABS3).
- “Liu Y. F., He Z., Shu, L. and Wu Z. (2009). Statistical Computation andAnalyses for Attribute Events, Computational Statistics and Data Analysis , 53, 3412-3425 (ABS3). “
- Shu, L., Jiang, W., and Yeung, H. F. (2010). An Adaptive CUSUM Procedure for Signaling Process Variance Changes of Unknown Sizes, Journal of Quality Technology, 42, 69-85.
- Shu, L., Jiang, W., and Tsui, K.-L. (2011). Comparison of Weighted CUSUM Procedures that Account for Monotone Changes in Population Size, Statistics in Medicine, 30(7), 725-741. (Honarable Mention Award in IEEE on IEEM 2010 conference)
- Su, Y., Shu, L., and Tsui, K.-L. (2011). Adaptive EWMA Procedures for Monitoring Processes Subject to Linear Drifts, Computational Statistics and Data Analysis, 55, 2819-2829 (ABS3).
- Jiang, W., Shu, L., and Tsui, K.-L. (2011). Weighed CUSUM Control Charts for Monitoring Inhomogeneous Poisson Processes with Varying Sample Sizes, Journal of Quality Technology, 43, 346-362.
- Su, Y., Chan, L., Shu, L., and Tsui, K.-L. (2012). Real Time Prediction Models for Output Power and Efficiency of Grid-Connected Solar Photovoltaic Systems, Applied Energy, 93, 319-326.
- Shu, L., Jiang, W., and Wu, Z. (2012). Exponentially Weighted Moving Average Control Charts for Monitoring Increases in Poisson Rate, IIE Transactions, 44(9), 711-723 (ABS3).
- “Huang, W., Shu, L., and Jiang, W. (2012). Evaluation of Exponentially Weighted Moving Variance Control Chart Subject to Linear Drifts, Computational Statistics and Data Analysis, 56,4278-4289 (ABS3).”
- Shu, L., Jiang, W., and Tsui, K.-L. (2012). A Standardized Scan Statistic for Detecting Spatial Clusters with Estimated Parameters, Naval Research Logistics, 59, 397-410 (ABS3).
- Jiang, W., Shu, L., Zhao, H., and Tsui, K.-L. (2013). CUSUM Procedures for Health Care Surveillance, Quality & Reliability Engineering International, 29(6), 883-897.
- “Shu, L., Huang, W., Su, Y., and Tsui, K.-L. (2013). Computation of Run Length Percentiles of CUSUM Control Charts under Changes in Variances, Journal of Statistical Computationand Simulation, 83, 1238-1251.”
- “Huang, W., Shu, L., Jiang, W. and Tsui, K.-L. (2013). Evaluation of Run-Length Distribution for CUSUMCharts under Gamma Distributions, IIE Transactions, 45, 981-994 (ABS3).”
- Qu, L., Wu, Z., Khoo M. B. C., Shu, L. (2014). A New Control Chart for Monitoring the Event Frequency and Magnitude, European Journal of Industrial Engineering, 8, 789-813 (ABS2).
- He, F., Shu, L, and Tsui, K.-L. (2014). Adaptive CUSUM Charts for Monitoring Linear Drifts in Poisson Rates, International Journal of Production Economics, 148, 14-20 (ABS3).
- Huang, W., Shu, L., and Su, Y. (2014). An Accurate Evaluation of Adaptive Exponentially Weighted Moving Average Schemes, IIE Transactions, 46, 457-469 (ABS3).
- Shu, L., Su, Y., Jiang, W., and Tsui, K.-L. (2014). A Comparison of Exponentially Weighted Moving Average Based Methods for Monitoring Increases in Incidence Rate with Varying Population Size, IIE Transactions, 46(8), 798-812 (ABS3).
- Zhou, Q., Huang, W., and Shu, L. (2014). A Comparison of Weighted CUSUM Procedures for Monitoring Process Proportions with Varying Sample Sizes”, International Journal of Production Research, 3225-3238 (ABS3).
- Li, Y., Su, Y., and Shu, L. (2014). An ARMAX Model for Forecasting the Power Output of a Grid Connected Photovoltaic System, Renewable Energy, 66, 78-89.
- Shu, L., Huang, W., and Jiang, W. (2014). A Novel Gradient Approach for Optimal Design and Sensitivity Analysis of EWMA Control, Naval Research Logistics, 61, 223-237 (ABS3).
- Shu, L., Ling, M.H., Wong. S.Y., Tsui, K.L. (2014). Spatial Clustering in Public Health: Advances and Challenges. In: Yang, H., Kundakcioglu, E.. Healthcare Intelligence: Turning Data into Knowledge, IEEE Intelligent Systems, 29(3):65-68.
- Han, S.W., Jiang W., Shu L., and Tsui, K.-L. (2015). A Comparison of Likelihood-based Spatiotemporal Surveillance Methods, Communications in Statistics: Simulation and Computation, 44(1), 14-39.
- Zhou, R., Shu, L., and Su, Y. (2015). An Adaptive Minimum Spanning Tree Test for Detecting Irregularly-Shaped Spatial Clusters, Computational Statistics and Data Analysis, 89, 134-146 (ABS3).
- Zhao, H., Shu, L., and Tsui, K.-L. (2015). “A Window-Limited Generalized Likelihood Ratio Test for Monitoring Poisson Processes with Linear Drifts, Journal of Statistical Computation and Simulation, 85(15), 2975–2988.
- Shu, L., Zhou, R., and Su, Y. (2016). A Self-Adjusted Weighted Likelihood Ratio Test for Global Clustering of Disease, Journal of Statistical Computation and Simulation, 86(5), 996-1009.
- Zhou, Q., Shu, L., and Jiang, W. (2016). One-sided EWMA Control Charts for Monitoring Processes with Varying Sample Sizes”, Communications in Statistics: Theory and Methods, 45, 6112-6132 .
- Li, J., Yu, N., Liu, Z., and Shu, L. (2016). Optimal Rebate Strategies in a Two-echelon Supply Chain with Nonlinear and Linear Multiplicative Demands, Journal of Industrial and Management Optimization, 12(4), 1587-1611 (ABS1).
- Huang, W., Shu, L., Jiang W. (2016). A Gradient Approach to the Optimal Design of CUSUM Charts Under Unknown Mean Shift Sizes, Journal of Quality Technology, 48, 68-83.
- Wang, G., Su, Y., and Shu, L. (2016). One-day-ahead Daily Power Forecasting of Photovoltaic Systems based on Partial Functional Linear Regression Models, Renewable Energy, 96, 469-478.
- Li, Y., He, Y., Su, Y., and Shu, L. (2016). Forecasting the Daily Power Output of a Grid-connected Photovoltaic System based on Multivariate Adaptive Regression Splines, Applied Energy, 180, 392-401.
- Huang, W., Shu, L., Woodall, W.H., and Tsui, K.-L. (2016). CUSUM Procedures with Probability Control Limits for Monitoring Processes with Variable Sample Sizes, IIE Transactions, 48(8), 759-771 (ABS3).
- Li, Y., Shu, L., and Tsung, F. (2016).A False Discovery Approach for Scanning Spatial Disease Clusters with Arbitrary Shapes, IIE Transactions, 48(7), 684-698. (ABS3)
- Huang, W., Shu, L., Cao, J., and Tsui, K.-L. (2016). Probability Distribution of CUSUM Charting Statistics, IIE Transactions, 48(4), 324-332 (ABS3).
- Yang, A., Jiang, X., Shu, L., and Lin, J. (2017). Bayesian Variable Selection with Sparse and Correlation Priors for High-dimensional Data Analysis, Computational Statistics, 32, 127-143 (ABS2).
- Fan, J, Shu, L., Zhao, H., and Yeung, H. (2017). Monitoring Multivariate Process Variability via Eigenvalues, Computer & Industrial Engineering, 113, 269-281 (ABS2).
- He, F., Mao, T., Hu, T., and Shu, L. (2018). A New Type of Change-Detection Scheme based on the Window-Limited Weighted Likelihood Ratios, Expert Systems with Applications, 94, 149-163 (ABS3).
- Su, Y., Zhang, Y., and Shu, L. (2018). Experimental Study of Using Phase Change Material Cooling in a Solar Tracking Concentrated Photovoltaic-Thermal System, Solar Energy, 159, 777-785.
- Yang, A., Xiang, J., Shu, L., and Yang, H. (2018). Sparse Bayesian Variable Selection with Correlation Prior for Forecasting Macroeconomic Variable using Highly Correlated Predictors, Computational Economics,51, 323-338.
- Huang, W., Shu, L., and Jiang, W. (2018). A Gradient Approach to Efficient Design and Analysis of Multivariate EWMA Control Charts, Journal of Statistical Computation and Simulation, 88, 2705-2725.
- Shu, L., and Fan, J. (2018). A Distribution‐free Control Chart for Monitoring High‐dimensional Processes based on Interpoint Distances, Naval Research Logistics,65, 317-330 (ABS3).
- Li, Y., Liu, S., and Shu, L. (2019). Wind Turbine Fault Diagnosis Based on Gaussian Process Classifiers Applied to Operational Data, Renewable Energy, 134, 357-366.
- Yang, A., Jiang, X., Shu, L., and Liu, P. (2019). Sparse Bayesian Kernel Multinomial Probit Regression Model for High-dimensional Data Classification, Communications in Statistics: Theory and Methods, 48, 165-176.
- Shi, F., Shu, L., Yang, A., and He, F. (2019). Improving Portfolio Performance by Alleviating Over-dispersion of Eigenvalues, Journal of Financial and Quantitative Analysis, accepted, (FT50, ABS4).
- Shu, L., Shi, F., and Tian, G. (2020). High-Dimensional Index Tracking based on the Adaptive Elastic Net, Quantitative Finance , accepted, (ABS3).
- Fan, J., Shu, L., Li, Y., and Yang, A. (2020). Phase I Analysis of High-dimensional Covariance Matrices Based on Sparse Leading Eigenvalues, Journal of Quality Technology, accepted.
- Wang, B., Xu, F., and Shu, L. (2020). A Bayesian Approach to Diagnosing Covariance Matrix Shifts, Quality & Reliability Engineering International, 736-752, 2020.
- Liu, X., Tian, G., Fei, Y., Shu, L., and Zhao, Q. (2020). Folded Normal Regression Models with Applications in Biomedicine, accepted, Journal of Computational and Applied Mathematics, accepted, 2020.
- Shu, L., Tsui, K.-L., and Tsung, F., “A Review of Regression Control Charts,” in “Encyclopedia of Statistics in Quality and Reliability,” Ed. Ruggeri, F., Faltin, F., and Kenett, R., Wiley, NY, 1569-1573, 2007.
- Shu, L. and Tsung, F., Multistage Process Monitoring and Diagnosis, Proceedings of the IEEE International Conference on Management of Innovation and Technology, Singapore, 2000.
- Shu, L. and Tsung, F., Multistage Statistical Quality Control, Proceedings of the Asia-Pacific Conference on Industrial Engineering and Management Systems [CD-ROM], Taipei, Taiwan, 2002.
- Shu, L., Tsung, F. and Tsui, K.-L., Effects of Estimation Errors on the Performance of Cause-Selecting Charts, INFORMS, Miami, 2002.
- Shu, L., Tsung, F. and Tsui, K.-L., Run Length Performance of Regression Control Charts with Estimated Parameters, INFORMS, Atlanta, 2003.
- Shu, L. and Jiang, W., Run length performance of an adaptive CUSUM chart, IFORS, Hawaii, 2005.
- Shu, L. and Jiang, W., Adaptive CUSUM Procedures with Markovian Mean Estimation, INFORMS, Hong Kong, 2006.
- Journal of Quality Technology Invited paper presentation, A Weighted CUSUM Chart for Detecting Patterned Mean Shifts, INFORMS, Washington DC, 2008.
- Shu, L., Jiang, W. and Wu, Z., Markov Chain Approximation to the Performance of Adaptive CUSUM Procedures, Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, Singapore, 2008.
- Shu, L., Jiang, W., and Tsui, K.-L.,Weighted CUSUM Procedures for Surveillance of Health Events with Varying Population Sizes, IEEE on IEEM, Macau, 2010.
- Shu, L., Jiang, W., and Tsui, K.-L.,A Standardized Scan Statistic, the 2nd ICISE, Taiwan, 2012.
- Huang, W., Shu, L., and Jiang, W., Optimal Design of Cumulative Sum Control Charts under Shift Uncertainty, the 59th Worlds Statistics Congress, Hong Kong, 2013.
- Shu, L., “A Gradient Approach for Efficient Design of Cusum Charts under Uncertainty, the X-th International Workshop on Intelligent Statistical Quality Control, Sydney, 2013.
- Zhou, R. and Shu, L., The Test for Detecting Arbitrarily Shaped Spatial Clusters based on Adaptive Minimum Spanning Tree, INFORMS, Minneapolis, 2013.
- Zhou, R., Shu, L., and Jiang, W., The Weighted Average Likelihood based Tests for Spatial Clusters, IIE Asia, Taipei, 2013.
- PhD Students
- Wenpo Huang, graduated in 2013, Assistant Professor in Northwestern Polytechnical University.
- Ruoyu Zhou, graduated in 2014, Assistant Professor in GuangDong University of Finance
- Jinyu Fan, graduated in 2018, Assistant Professor in GuangDong University of Finance
- Fangquan Shi, started in 2015
- Luyao Wang, started in 2018
- Master Students
- Peipei Wu, “Logistics Performance Evaluation for Key Provinces along the Belt-and-Road in China”, 2018.
- Yuan Xu, “An Investigation on the Relationship between Corporate Social Responsibility and Financial Performance of Real Estate Enterprises in China”, 2012.
- Leongpui Wa, “An evaluation of Credit Risk Scoring Models in Macau Banks”, 2012.
- Pakchun Chau, “A Six-Sigma Approach to the Improvement of the Customer Satisfaction in Casinos at Macau”, 2008.
- Bosen Wang, “Statistical Process Control of Process Dispersion When Parameters are Unknown”, 2007.
- Wenjing Tian, “A Multivariate Control Chart for Monitoring Univariate Processes”, 2006.
- Associate Editor, Journal of Statistical Computation and Simulation, 2010~present
- Senior Editor, Journal of Insutrial and Production Engineeing, 2010~present
- Editor, Journal of the Chinese Institute of Industrial Engineers, 2007~2010
- Senior Member, American Society of Quality (ASQ)
- Senior Member, Institute of Industrial Engineers
- Member, American Statistical Association (ASA)