Haipeng SHEN
Prof. Haipeng SHEN
創新及資訊管理學
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

為客戶服務中心計算客戶耐性的危機率

以時間為單位量度客戶的耐性並計算危機率,已成為運營管理中重要的一環。這項技術能幫助企業優化客戶服務中心的運作,如人手分配及編更事宜等等。當客戶申請服務時,他們的耐性將會隨時間推移產生改變。現行的數據收集系統有時候無法觀察到客戶服務中心提供服務的確切時間,故此我們開發了一個TunT(Transform-unTransform)的估計程式,把這個複雜的難題簡化為迴歸分析的問題。我們為客戶服務中心不同的服務時間進行分類,並使用均值匹配轉換,對相關的數據進行轉換,從而使我們能簡單地表現出異方差-變異數函數。然後我們把非參數迴歸分析的技術應用在轉換後的數據上。最後,我們會對估計出來的迴歸函數進行轉換,計算出原始危機率。在我們的模擬計算中,我們利用客戶服務中心的數據(實驗組)與醫療保險計劃中的數據(控制組)進行對比。研究證明,與現行方法相比,我們的模型能得出更準確的危機估計值,幫助企業優化人手安排。

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.