• Research Interests

    Methodology:

    Data-Driven Algorithms, Online Learning Algorithms, Approximation Algorithms, Stochastic Modeling and Optimization.

    Application:

    Pricing and Revenue Management, Inventory Management, Supply Chain Management, Service Operations.

  • Employment

    University of Colorado Boulder

    Leeds School of Business

    Assistant Professor - June 2020 - Now

    Pennsylvania State University

    Harold and Inge Marcus Department of Industrial and Manufacturing Engineering

    Assistant Professor - August 2017-May 2020

  • Education:

    Sep 2012-August 2017

    University of Michigan, Ann Arbor, MI, USA

    Advisors: Prof. Xiuli Chao and Prof. Cong Shi

    Thesis title: Data-Driven Algorithms for Stochastic Supply Chain Systems: Approximation and Online Learning

    Sep 2008-May 2012

    The Chinese University of Hong Kong, Hong Kong, China

    First-Class Honours

  • JOURNAL PUBLICATION and PrEPRINT

    An Efficient Learning Framework for Multi-Product Inventory Systems with Customer Choices [DOI]

    Xiangyu Gao and Huanan Zhang

    Under Major revision at Production and Operations Management

    Online Learning and Optimization for Revenue Management Problems with Add-on Discounts [DOI]

    David Simchi-Levi, Rui Sun, and Huanan Zhang (alphabetically ordered)

    Under second round Major revision at Management Science.

    Joint Learning and Optimization for Multi-product Pricing (and Ranking) under a General Cascade Click Model [DOI]

    Xiangyu Gao, Stefanus Jasin, Sajjad Najafi, and Huanan Zhang (alphabetically ordered)

    R&R at Management Science.

    Finalist of POMS-JD.com 2019 Best Data-Driven Research Paper Competition.

    Online Learning and Optimization of (Some) Cyclic Pricing Policies in the Presence of Patient Customers [DOI]

    Huanan Zhang and Stefanus Jasin

    Accepted at Manufacturing & Service Operations Management.

    Closing the Gaps: An Online Learning Algorithm for Lost-sales Inventory Systems with Lead Times [DOI]

    Huanan Zhang, Xiuli Chao, and Cong Shi

    Management Science, Vol. 66(5), 1962-1980, 2020.

    Perishable Inventory Problems: Convexity Results for Base-Stock Policies and Learning Algorithms under Censored Demand [DOI]

    Huanan Zhang, Xiuli Chao, and Cong Shi

    Operations Research, Vol. 66(5), 1189-1456, 2018.

    Approximation Algorithms for Capacitated Perishable Inventory Systems with Positive Lead Times [DOI]

    Xiuli Chao, Xiting Gong, Cong Shi, Chaolin Yang, Huanan Zhang, and Sean X. Zhou (alphabetically ordered)

    Management Science, Vol. 64(11), 5038-5061, 2018.

    Stochastic Regret Minimization for Revenue Management Problems with Nonstationary Demands [DOI]

    Huanan Zhang, Cong Shi, Chao Qin, and Cheng Hua

    Naval Research Logistics, Vol. 63(6), 433-448, 2016.

    Approximation Algorithms for Perishable Inventory Systems with Setup Cost [DOI]

    Huanan Zhang, Cong Shi, and Xiuli Chao

    Operations Research, Vol. 64(2), pp. 432-440, 2016.

    Approximation Algorithms for Perishable Inventory Systems [DOI]

    Xiuli Chao, Xiting Gong, Cong Shi, and Huanan Zhang (alphabetically ordered)

    Operations Research, Vol. 63, no. 3, pp. 585-601, 2015.

    A Faster Algorithm for the Resource Allocation Problem with Convex Cost Functions [DOI]

    Cong Shi, Huanan Zhang, and Chao Qin

    Journal of Discrete Algorithms, Vol. 34, pp. 137-146, 2015.

    Approximation Algorithms for Capacitated Stochastic Inventory Systems with Setup Costs [DOI]

    Cong Shi, Huanan Zhang, Xiuli Chao, and Retsef Levi

    Naval Research Logistics, Vol. 61, no. 4, pp. 304-319, 2014.

  • Selected Working Papers

    Authors underlined are Ph.D. supervisees.

    Assortment Optimization with Multi-Item Basket Purchase under Multivariate MNL Model [DOI]

    Chengyi Lyu, Stefanus Jasin, Sajjad Najafi, and Huanan Zhang (alphabetically ordered)

    Submitted to Operations Research.

    Efficient UCB-Type Learning Algorithms for Lost-Sales Inventory Models with Lead Times and Censored Demand

    Chengyi Lyu, Huanan Zhang, and Linwei Xin

    Working paper.

  • TEACHING EXPERIENCES

    University of Colorado Boulder

    Class:

    • BCOR 2206 - Principles of Operations Management (Undergraduate)

    Penn State

     

    Class:

    • IE 570 - Supply Chain Engineering (Graduate)

    • IE 460 - Service Systems Engineering (Undergraduate)​

    University of Michigan

    Class:

    • IOE 440 Operations Analysis & Management (Undergraduate)

  • CONFERENCES

    Online Learning and Optimization for Revenue Management Problems with Add-on Discounts

    INFORMS 2020, Virtual Meeting.

    Multi-Product Price Optimization and Learning under a General Cascade Click Model with Filters

    POMS 2019, Washington, DC.

    IISE 2019, Orlando, FL.

    INFORMS 2019, Seattle, WA.

    Online Learning and Optimization of (Some) Cyclic Pricing Policies for Revenue Management with Patient Customers

    INFORMS 2018, Phoenix, AZ.

    POMS 2019, Washington, DC.

    Closing the Gaps: An Online Learning Algorithm for Lost-Sales Inventory Systems with Lead Times

    INFORMS 2017, Houston, TX.

    MSOM 2017, Chapel Hill, NC.

    POMS 2017, Seattle, WA.

    Nonparametric Learning Algorithms for Optimal Base-Stock Policy in Perishable Inventory Systems with Censored Demand

    INFORMS 2016, Nashville, TN.

    Approximation Algorithms for Perishable Inventory Systems with Setup Costs

    INFORMS 2014, San Francisco, CA.

    Approximation Algorithms for Stochastic Inventory Control Problems with Regular and Expedited Supplies

    INFORMS 2013, Minneapolis, MN.

    Approximation Algorithms for Capacitated Stochastic Lot-Sizing Models with Fixed Ordering Cost

    MSOM 2013, INSEAD, France.

  • Selected HONORS, AWARDS & Grants

    • Kolb Teaching Award, Leeds School of Business, 2020.

    • MHI/CICMHE Research Funding Program – Start-up Grants ($22,500)

    • Finalist, POMS-JD.com 2019 Best Data-Driven Research Paper Competition, 2019.

    • IOE Outstanding Graduate Student (one recipient per year), 2017, University of Michigan

    • Niuniu Ji Scholarship - Silver Award, 2011, CUHK

    • Charles K.Kao Research Exchange Scholarship, 2010, CUHK