輸入搜尋
輸入搜尋

團隊

首頁 團隊
Haipeng SHEN
Prof. Haipeng SHEN
創新及資訊管理學
市場學
Associate Dean (EMBA and IMBA)
Patrick S C Poon Professor in Analytics and Innovation
Chair of Business 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
  • Ningyuan Chen, Ragıp Gürlek, Donald K. K. Lee, H. Shen (2024). Can Customer Arrival Rates Be Modelled by Sine Waves? Service Science, 16(2), 70-84.
  • Zhan, Pan, Law, Shen (2024) Stakeholders’ Knowledge, Attitude and Practice of Adopting Modular Integrated Construction for Sustainable Development in Hong Kong, Journal of Management Engineering, 40.
  • Dai*, Yang, Li, Zhao, Lin, Jiang, Wang, Li, Shen (2024) A Clinically Actionable and Explainable Real-Time Risk Assessment Framework for Stroke-Associated Pneumonia, Artificial Intelligence in Medicine, 149, 102772.
  • Jingxuan Wang, H. Shen, Fei Jiang (2023). Robust Recommendation Via Social Network Enhanced Matrix Completion, Statistica Sinica, 33(2), 609-631.
  • Xin Chen, Dan Yang, Yan Xu, Yin Xia, Dong Wang, H. Shen (2023). Testing and Support Recovery of Correlation Structures for Matrix-Valued Observations with an Application to Stock Market Data, Journal of Econometrics, 232(2), 544-564.
  • 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.
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