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:
Ph.D. in Industrial & Operations Engineering
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 Honour
JOURNAL PUBLICATIONS
(PH.D. SUPERVISEES.)
Assortment Optimization with Multi-Item Basket Purchase under Multivariate MNL Model [DOI]
Stefanus Jasin, Chengyi Lyu, Sajjad Najafi, and Huanan Zhang (alphabetically ordered)
Forthcoming at Manufacturing & Service Operations Management.
* Finalist in the POMS-HK 2023 Best Student Paper Competition (entrant: Chengyi Lyu).
* Selected for presentation in the MSOM Supply Chain Management SIG, 2023.
An Efficient Learning Framework for Multi-Product Inventory Systems with Customer Choices [DOI]
Xiangyu Gao and Huanan Zhang (alphabetically ordered)
Production and Operations Management, Vol 31, 2492-2561, 2022.
Online Learning and Optimization for Revenue Management Problems with Add-on Discounts [DOI]
David Simchi-Levi, Rui Sun, and Huanan Zhang (alphabetically ordered)
Management Science, Vol. 68(10), 7402-7421, 2022.
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)
Management Science, Vol. 68(10), 7362-7382, 2022.
* Finalist in the 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
Manufacturing & Service Operations Management, Vol. 24(2), 1165-1182, 2022
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.
Technical Note - 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.
Technical Note - 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
(Ph.D. supervises.)
UCB-Type Learning Algorithms with Kaplan-Meier Estimator for Lost-Sales Inventory Models with Lead Times [DOI]
Chengyi Lyu, Huanan Zhang, and Linwei Xin
Under Minor revision at Operations Research.
Online Learning for Pricing in On-Demand Vehicle Sharing Networks [DOI]
Saif Benjaafar, Xiangyu Gao, Xiaobing Shen, and Huanan Zhang (alphabetically ordered)
Working paper.
Assortment and Price Optimization under MNL Model with Price Range Effect
Stefanus Jasin, Chengyi Lyu, Huanan Zhang, and Andrew Vakhutinsky.
Working paper.
Customer Reward Programs for Two-sided Markets
Chengyi Lyu, Dan Zhang, and Huanan Zhang
In preparation.
BOOK CHAPTERS
Inventory Control with Censored Demand [DOI]
Xiangyu Gao, Huanan Zhang
In: Chen, X., Jasin, S., Shi, C. (eds) The Elements of Joint Learning and Optimization in Operations Management. Springer Series in Supply Chain Management, vol 18. Springer, Cham, 2022.
Online Learning in Inventory and Pricing Optimization [Link]
Xiuli Chao, Boxiao Chen, Huanan Zhang
In: Song, J. (ed) Research Handbook on Inventory Management. Edward Elgar Publishing, 2023.
TEACHING EXPERIENCES
University of Colorado Boulder
Class:
- BCOR 2206 - Principles of Operations Management (Undergraduate)
- MBAX 6843 - Supply Chain and Operations Analytics (Graduate)
- OPIM 7330 Data-Driven Operations Management (Graduate)
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)
Selected HONORS, AWARDS & Grants
Top Reviewer Award, Operations Research Letters, 2021.
Kolb Teaching Award, Leeds School of Business, 2020.
MHI/CICMHE Research Funding Program – Start-up Grants ($22,500), 2019.
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
Connect ME
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