Haipeng SHEN
Prof. Haipeng SHEN
创新及资讯管理学
Associate Dean (Executive Education)
Patrick S C Poon Professor in Analytics and Innovation

3917 1624

KK 815

Academic & Professional Qualification

  • PhD in Statistics, The Wharton School of Business, University of Pennsylvania, 2003
  • MA in Statistics, The Wharton School of Business, University of Pennsylvania, 2000
  • BS in Mathematics, School of Mathematical Sciences, Peking University, 1998

Biography

Haipeng Shen joined HKU in September 2015 as a Professor of Innovation and Information Management at the Faculty of Business and Economics (now HKU Business School). Before joining HKU, he was a Professor of Statistics and Operations Research, University of North Carolina at Chapel Hill, USA.

Teaching

Business Analytics, Business Data Analysis, Decision and Risk Analysis, Statistics

Research Interest

Data-driven decision making in the face of uncertainty: big data, business analytics, healthcare analytics, service engineering.

Selected Publications

  • Seonjoo Lee, H. Shen, Young Truong (2021). Sampling Properties of Color Independent Component Analysis, Journal of Multivariate Analysis, 181, 104692.
  • Yi He, Yanxi Hou, Liang Peng, H. Shen (2020). Inference for Conditional Value-at-Risk of a Predictive Regression, Annals of Statistics, 48, 3442-3464.
  • Han Ye, Lawrence D. Brown, H. Shen (2020). Hazard Rate Estimation for Call Center Customer Patience Time, IISE Transactions, 52, 890-903.
  • Fei Jiang, Qing Cheng, Guosheng Yin, H. Shen (2020). Functional Censored Quantile Regression, Journal of the American Statistical Association, 115, 931-944.
  • J. Cai, A. Mandelbaum, C. H. Nagaraja, H. Shen, L. Z. Zhao (2019). Statistical Theory Powering Data Science, Statistical Science, 34, 669-691.
  • Han Ye*, James Luedtke, H. Shen (2019). Call Center Arrivals: When to Jointly Forecast Multiple Streams?, Production and Operations Management, 28, 27-42.
  • Zheng, Wang, Wang, Li, Wang, Zhao, H. Shen, Wang, Zuo, Pan, Wang, Shi, Ju, Liu, Dong, Wang, Sui, Xue, Pan, Niu, Luo, Wang, Feng, Wang (2019). The Efficacy and Safety of Nimodipine in Acute Ischemic Stroke Patients with Mild Cognitive Impairment: A Double-blind, Randomized, Placebo-controlled Trial, Science Bulletin, 64, 101-107.
  • Gen Li*, J. Z. Huang, H. Shen (2018). To Wait or Not to Wait: Two-Way Functional Hazards Model for Understanding Waiting in Call Centers, Journal of the American Statistical Association, 113, 1503-1514.
  • Wang, Li, Zhao, Wang, Wang, Wang, Liang, Liu, Wang, Li, H. Shen, Bettger, Pan, Jiang, Yang, Zhang, Fonarow, Peterson, Schwamm, Xian, Wang (2018). Effect of a Multifaceted Quality Improvement Intervention on Hospital Personnel Adherence to Performance Measures in Patients With Acute Ischemic Stroke in China: A Randomized Clinical Trial, The Journal of the American Medical Association, 320, 245-254.
  • Jiang, Jiang, Zhi, Dong, Li, Ma, Wang, Dong, H. Shen, Wang (2017). Artificial Intelligence in Healthcare: Past, Present, and Future, Stroke and Vascular Neurology, 1-14.
    (Won the Most Influential Publication Award from the China Stroke Association.)
  • Z. Li, C. Wang, X. Zhao, L. Liu, C. Wang, H. Li, H. Shen, …, Yongjun Wang (2016). Substantial Progress Yet Significant Opportunity for Improvement in Stroke Care in China, Stroke, 47, 2843-2849.
  • Rouba Ibrahim, Pierre L’Ecuyer, H. Shen, Mamadou Thiongane (2016). Inter-Dependent, Heterogeneous, and Time-Varying Service-Time Distributions in Call Centers, European Journal of Operational Research, 250, 480-492.
  • Dan Shen*, H. Shen, J. S. Marron (2016). A General Framework for Consistency of Principal Component Analysis, Journal of Machine Learning Research, 17, 1-34.
  • Noah Gans, H. Shen, Yong-Pin Zhou, Nikolay Korolev, Alan McCord, Herbert Ristock  (2015). Parametric Forecasting and Stochastic Programming Models for Call-Center Workforce Scheduling, Manufacturing & Service Operations Management, 17, 571-588.
  • Yilong Wang, Zixiao Li, Ying Xian, Xingquan Zhao, Hao Li, H. Shen, …, Yongjun Wang (2015). Rationale and Design of a Cluster-Randomized Multifaceted Intervention Trial to Improve Stroke Care Quality in China: The GOLDEN BRIDGE-AIS, American Heart Journal, 169, 767-774.
  • Ruijun Ji, David Wang, H. Shen, Yuesong Pan, Gaifen Liu, Penglian Wang, Yilong Wang, Hao Li, Yongjun Wang (2013). Interrelationship Among Common Medical Complications After Acute Stroke: Pneumonia Plays an Important Role, Stroke, 44, 3436-3444.
  • Ruijun Ji, H. Shen, Yuesong Pan, Penglian Wang, Gaifen Liu, Yilong Wang, Hao Li, Yongjun Wang (2013). A Novel Risk Score to Predict Pneumonia after Acute Ischemic Stroke, Stroke, 44, 1303-1309.
  • Lingsong Zhang, H. Shen, Jianhua Z. Huang (2013). Robust Regularized Singular Value Decomposition with Application to Mortality Data, The Annals of Applied Statistics, 7, 1540-1561.
  • Spencer Hays, H. Shen, Jianhua Z. Huang (2012). Functional Dynamic Factor Models with Application to Yield Curve Forecasting, The Annals of Applied Statistics, 6, 870-894.
  • Seonjoo Lee, H. Shen, Young Truong, Michelle Lewis, Xuemei Huang (2011). Independent Component Analysis Involving Auto-correlated Sources with an Application to Functional Magnetic Resonance Imaging, Journal of the American Statistical Association, 106, 1009-1024.
  • Noah Gans, Nan Liu, Avishai Mandelbaum, H. Shen, Han Ye (2010). Service Times in Call Centers: Agent Heterogeneity and Learning with Some Operational Consequences, A Festschrift for Lawrence D. Brown, IMS Collections, 6, 99-123.
  • Jianhua Z. Huang, H. Shen, Andreas Buja (2009). The Analysis of Two-Way Functional Data Using Two-Way Regularized Singular Value Decompositions, Journal of the American Statistical Association, 104, 1609-1620.
  • H. Shen, Jianhua Z. Huang (2008). Interday Forecasting and Intraday Updating of Call Center Arrivals, Manufacturing & Service Operations Management, 10, 391-410.
  • H. Shen, Jianhua Z. Huang (2008). Forecasting Time Series of Inhomogeneous Poisson Processes with Application to Call Center Workforce Management, The Annals of Applied Statistics, 2, 601-623.
  • Lawrence D. Brown, Noah Gans, Avishai Mandelbaum, Anat Sakov, H. Shen, Sergey Zeltyn, Linda H. Zhao (2005). Statistical Analysis of a Telephone Call Center: A Queueing-Science Perspective, Journal of the American Statistical Association, 100, 36-50.

A complete list is available here: https://sites.google.com/site/shenhaipeng/

Awards and Honours

  • Faculty Special Contribution Teaching Award, Faculty of Business and Economics (now HKU Business School), 2018.
  • The Most Influential Publication Award, China Stroke Association, 2018.
  • Best Advisor of the Year Award, Academy of Asian Business, 2018.
  • Fellow, American Statistical Association, 2015.
  • Elected Member, International Statistical Institute, 2015.
  • Cluster Chair for Big Data Analytics, INFORMS International, 2015.
  • Program Chair-Elect, 2014, Section on Statistics in Imaging, American Statistical Association, 2013.
  • Issue Feature Article, Journal of Computational and Graphical Statistics, 2014.
  • Awarded University Affairs Committee Grant from The Xerox Foundation, 2012.
  • Most Cited Article of Journal of Multivariate Analysis since 2008, 2012.
  • Randy Sitter Paper of 2010 in Technometrics, 2010.
  • Awarded Challenge Grant from National Institute on Drug Abuse, 2009.
  • UNC-CH R. J. Reynolds Fund Award for Junior Faculty Development, 2008.
  • J. Parker Bursk Memorial Prize for the best PhD student in the Department of Statistics, University of Pennsylvania, 2002.

Service to the University/Community

  • Associate Editor, Management Science, Stochastic Modeling and Simulation, 2014 – present
  • Associate Editor, Journal of the American Statistical Association, 2014 – present
  • Associate Editor, Technometrics, 2013 – present
  • Associate Editor, The Annals of Applied Statistics, 2011 – present
  • Associate Editor, Management Science, Special Issue on Business Analytics, 2012

Recent Publications

为客户服务中心计算客户耐性的危机率

以时间为单位量度客户的耐性并计算危机率,已成为运营管理中重要的一环。这项技术能帮助企业优化客户服务中心的运作,如人手分配及编更事宜等等。当客户申请服务时,他们的耐性将会随时间推移产生改变。现行的数据收集系统有时候无法观察到客户服务中心提供服务的确切时间,故此我们开发了一个TunT(Transform-unTransform)的估计程式,把这个复杂的难题简化为回归分析的问题。我们为客户服务中心不同的服务时间进行分类,并使用均值匹配转换,对相关的数据进行转换,从而使我们能简单地表现出异方差-变异数函数。然后我们把非参数回归分析的技术应用在转换后的数据上。最后,我们会对估计出来的回归函数进行转换,计算出原始危机率。在我们的模拟计算中,我们利用客户服务中心的数据(实验组)与医疗保险计划中的数据(控制组)进行对比。研究证明,与现行方法相比,我们的模型能得出更准确的危机估计值,帮助企业优化人手安排。

HKU Business School at the heart of medical revolution

Innovation in healthcare is forever changing how we see and experience the medical industry. The environment is offering HKU’s Faculty of Business and Economics (the Faculty) a unique opportunity to be at the forefront of utilising rich data, creating better health outcomes for everyone.

Big data is rewriting the medical future of millions of people

Patients in China suffering from acute ischemic stroke, when arteries leading to the brain are blocked, have traditionally not experienced excellent clinical outcomes. Battling this disease has been a long-term battle for physicians working in the country’s overcrowded under-resourced public hospitals. Professor Haipeng Shen, Patrick S C Poon Professor in Analytics and Innovation at HKU Business School, has been working to change this situation by collaborating with top physicians and embracing the power of big data.

Functional Censored Quantile Regression

We propose a functional censored quantile regression model to describe the time-varying relationship between time-to-event outcomes and corresponding functional covariates. The time-varying effect is modeled as an unspecified function that is approximated via B-splines. A generalized approximate cross-validation method is developed to select the number of knots by minimizing the expected loss. We establish asymptotic properties of the method and the knot selection procedure. Furthermore, we conduct extensive simulation studies to evaluate the finite sample performance of our method. Finally, we analyze the functional relationship between ambulatory blood pressure trajectories and clinical outcome in stroke patients. The results reinforce the importance of the morning blood pressure surge phenomenon, whose effect has caught attention but remains controversial in the medical literature. Supplementary materials for this article are available online.

大數據助改善醫院營運效率及優化服務流程

Professor Haipeng SHEN, Patrick S C Poon Professor in Analytics and Innovation, was interviewed by four media outlets on his recent research in data-driven decision making in healthcare management.