Cong Shi - Research

Research Interests

• Supply Chain Management, Revenue Management, Healthcare Operations, Human-Robot Interactions

• Online Learning Algorithms, Data-Driven Optimization, Approximation Algorithms

Working Papers

• Offline Personalized Pricing with Censored Demand, Zhengling Qi, Jingwen Tang, Xingyuan (Ethan) Fang, Cong Shi

• Online Learning for Constrained Assortment Optimization under Markov Chain Choice Model, Shukai Li, Qi Luo, Zhiyuan Huang, Cong Shi

• Tailored Base-Surge Policies in Dual-Sourcing Inventory Systems with Demand Learning, Beryl Chen, Cong Shi

• More Bang for Your Buck: Effective KOL Marketing Campaign in Emerging Short-Video Markets, Xingyu Chen, Li Ji, Ling Jiang, Sentao Miao, Cong Shi

• Time to Leave Your Comfort Zone? Optimal Variation-Seeking Strategies for Social Media Influencers on Streaming Media Platforms, Xingyu Chen, Ling Liang, Sentao Miao, Cong Shi

• Integrating Empirical Estimation and Assortment Personalization for E-Commerce: A Consider-then-Choose Model, Maggie Li, Xiang Liu, Yan Huang, Cong Shi, Cheng Hua

  • Finalist, The 2018 MSOM Data Driven Research Challenge, 2018.

• Online Learning and Matching for Multiproduct Systems with General Upgrading, Jingwen Tang, Cong Shi, Izak Duenyas

• Near-Optimal Pricing Policy for Service Systems with Reusable Resources and Forward-Looking Customers, Yiwei Chen, Cong Shi

Under Revision

• Online Learning and Pricing for Service Systems with Reusable Resources, Huiwen Jia, Cong Shi, Siqian Shen, Major Revision at Operations Research.

• Contextual Learning with Online Convex Optimization: Theory and Application to Chronic Diseases, Esmaeil Keyvanshokooh, Mohammad Zhalechian, Cong Shi, Mark P. Van Oyen, Pooyan Kazemian, Major Revision at Management Science.

  • Finalist, POMS College of Healthcare Operations Management (CHOM) Best Paper Competition, 2022.

  • Finalist, INFORMS Manufacturing & Service Operations Management (MSOM) Best Student Paper Competition, 2021.

  • Finalist, INFORMS Health Applications Society (HAS) Best Student Paper Competition, 2021.

  • Finalist, INFORMS Decision Analysis Society (DAS) Best Student Paper Competition, 2020.

  • IOE Murty Prize for Best Student Paper on Optimization, 2020.

• Personalized Hospital Admission Control: A Contextual Learning Approach, Mohammad Zhalechian, Esmaeil Keyvanshokooh, Cong Shi, Mark P. Van Oyen, Minor Revision at Operations Research.

  • IOE Wilson Prize for Best Student Paper on Manufacturing and Service Systems, 2021.

Journal Publications

• Online Resource Allocation with Personalized Learning, M. Zhalechian, E. Keyvanshokooh, C. Shi, M. P. Van Oyen, Operations Research, to appear. [DOI]

• Network Revenue Management with Online Inverse Batch Gradient Descent Method, Y. Chen, C. Shi, Production and Operations Management, to appear.

• Partner with a Third-Party Delivery Service or Not? A Prediction-and-Decision Tool for Restaurants Facing Takeout Demand Surges During a Pandemic, H. Jia, S. Shen, J. Garcia, C. Shi, Service Science, to appear. [DOI]

• Multi-Armed Bandit with Sub-Exponential Rewards, H. Jia, C. Shi, S. Shen, Operations Research Letters, Vol. 49(5), 728-733, 2021. [DOI]

• Marrying Stochastic Gradient Descent with Bandits: Learning Algorithms for Inventory Systems with Fixed Costs, H. Yuan, Q. Luo, C. Shi, Management Science, Vol. 67(10), 5969-6627, 2021. [DOI]

  • Finalist, INFORMS Applied Probability Society (APS) Best Student Paper Competition, 2019.

  • IOE Murty Prize for Best Student Paper on Optimization, 2019.

• Nonparametric Learning Algorithms for Joint Pricing and Inventory Control with Lost-Sales and Censored Demand, B. Chen, X. Chao, C. Shi, Mathematics of Operations Research, Vol. 46(2), 405-833, 2021. [DOI]

• Online Advance Scheduling with Overtime: A Primal-Dual Approach, E. Keyvanshokooh, C. Shi, M. P. Van Oyen, Manufacturing & Service Operations Management, Vol. 23(1), 246-266, 2021. [DOI]

  • IOE Wilson Prize for Best Student Paper on Manufacturing and Service Systems, 2019.

• Optimal Learning Algorithms for Stochastic Inventory Systems with Random Capacities, W. Chen, C. Shi, I. Duenyas, Production and Operations Management, Vol. 29(7), 1624-1649, 2020. [DOI]

• Closing the Gap: A Learning Algorithm for the Lost-Sales Inventory System with Lead Times, H. Zhang, X. Chao, C. Shi, Management Science, Vol. 66(5), 1783-2290, 2020. [DOI]

• Strategic Capacity Planning Problems in Revenue Sharing Joint Ventures, R. Levi, G. Perakis, C. Shi, W. Sun, Production and Operations Management, Vol. 29(3), 664-687, 2020. [DOI]

• Joint Pricing and Inventory Management with Strategic Customers, Y. Chen, C. Shi, Operations Research, Vol. 67(6), 1610-1627, 2019. [DOI]

  • Third Place, INFORMS Junior Faculty Interest Group (JFIG) Paper Competition, 2017.

  • Accepted at the 18th ACM conference on Economics and Computation (EC), 2017.

• Process Flexibility for Multi-Period Production Systems, C. Shi, Y. Wei, Y. Zhong, Operations Research, Vol. 67(5), 1300-1320, 2019. [DOI]

• Service Level Constrained Inventory Systems, Y. Jiang, C. Shi, S. Shen, Production and Operations Management, Vol. 28(9), 2365-2389, 2019. [DOI]

• Perishable Inventory Systems: Convexity Results for Base-Stock Policies and Learning Algorithms under Censored Demand, H. Zhang, X. Chao, C. Shi, Operations Research, Vol. 66(5), 1276-1286, 2018. [DOI]

• Approximation Algorithms for Capacitated Perishable Inventory Systems with Positive Lead Times, X. Chao, X. Gong, C. Shi, C. Yang, H. Zhang, S. X. Zhou, Management Science, Vol. 64(11), 5038-5061, 2018. [DOI]

• Revenue Management of Reusable Resources with Advanced Reservations, Y. Chen, R. Levi, C. Shi, Production and Operations Management, Vol. 26(5), 836-859, 2017. [DOI]

• Production Planning Problems with Joint Service-Level Guarantee: A Computational Study, Y. Jiang, J. Xu, S. Shen, C. Shi, International Journal of Production Research, Vol. 55(1), 38-58, 2017. [DOI]

• Priority Rules for Multi-Task Due-Date Scheduling under Varying Processing Costs, Y. Xu, C. Shi, I. Duenyas, Production and Operations Management, Vol. 25(12), 2086-2102, 2016. [DOI]

• Stochastic Regret Minimization for Revenue Management Problems with Nonstationary Demands, H. Zhang, C. Shi, C. Qin, C. Hua, Naval Research Logistics, Vol. 63(6), 433-448, 2016.[DOI]

• Approximation Algorithms for Inventory Problems with Submodular or Routing Costs, V. Nagarajan, C. Shi, Mathematical Programming Series A, Vol. 160(1), 225-244, 2016. [DOI]

• A Data-Driven Approach to Manpower Planning at U.S.-Canada Border Crossings, M. Yu, Y. Ding, R. Lindsey, C. Shi, Transportation Research Part A, Vol. 91, 34-47, 2016. [DOI]

• Approximation Algorithms for Perishable Inventory Systems with Setup Costs, H. Zhang, C. Shi, X. Chao, Operations Research, Vol. 64(2), 432-440, 2016. [DOI]

• Nonparametric Data-Driven Algorithms for Multiproduct Inventory Systems with Censored Demand, C. Shi, W. Chen, I. Duenyas, Operations Research, Vol. 64(2), 362-370, 2016. [DOI]

• Approximation Algorithms for Perishable Inventory Systems, X. Chao, X. Gong, C. Shi, H. Zhang, Operations Research, Vol. 63(3), 585-601, 2015. [DOI]

• A Faster Algorithm for the Resource Allocation Problem with Convex Cost Functions, C. Shi, H. Zhang, C. Qin, Journal of Discrete Algorithms, Vol. 34, 137-146, 2015. [DOI]

• Approximation Algorithms for Capacitated Stochastic Inventory Systems with Setup Costs, C. Shi, H. Zhang, X. Chao, R. Levi, Naval Research Logistics, Vol. 61(4), 304-319, 2014. [DOI]

• Approximation Algorithms for the Stochastic Lot-Sizing Problem with Order Lead Times, R. Levi, C. Shi, Operations Research, Vol. 61(3), 593-602, 2013. [DOI]

  • First Place, INFORMS George Nicholson Student Paper Competition, 2009.

Human-Robot Interactions

• Enabling Team of Teams: A Trust Inference and Propagation (TIP) Model in Multi-Human Multi-Robot Teams, Yaohui Guo, Jessie X. Yang, Cong Shi

• Clustering Trust Dynamics in a Human-Robot Sequential Decision-Making Task, S. Bhat, J. B. Lyons, C. Shi, X. J. Yang, IEEE Robotics and Automation Letters, to appear.

• Reverse Psychology in Trust-Aware Human-Robot Interaction, Y. Guo, C. Shi, X. J. Yang, IEEE Robotics and Automation Letters, Vol. 6(3), 4851-4858, 2021. [DOI]

• Road to Micro-Celebration: The Role of Mutation Strategy of Micro-Celebrity in Digital Media, X. Chen, L. Jiang, S. Miao, C. Shi, New Media and Society, to appear. [DOI]

Refereed Conference Proceedings

• Reverse Psychology in Trust-Aware Human-Robot Interaction, Y. Guo, C. Shi, X. Yang, IEEE International Conference on Robotics and Automation (ICRA 2021), Xi'an, China. [DOI]

• Joint Pricing and Inventory Management with Strategic Customers, Y. Chen, C. Shi, ACM Conference on Economics and Computation (EC 2017), Cambridge, MA. [DOI]

Books and Book Chapters

• The Elements of Joint Learning and Optimization in Operations Management, edited by X. Chen, J. Stefanus, C. Shi, Springer, New York, NY. (Completed and Forthcoming)

• Approximation Algorithms for Stochastic Inventory Systems, Research Handbook on Inventory Management, edited by J.-S. Song, Edward Elgar, Cheltenham, UK.

• Approximation Algorithms for Stochastic Optimization Problems in Operations Management, Encyclopedia of Operations Research and Management Science, edited by J. J. Cochran, Wiley, Hoboken, NJ.

Editorial Service

• Associate Editor, Management Science, 2021–

• Senior Editor, Production and Operations Management, 2019–

• Associate Editor, Naval Research Logistics, 2022–

• Associate Editor, IISE Transactions, 2017–

• Associate Editor, Operations Research Letters, 2015–

External Grants

• NSF CMMI-1362619 (Co-PI), NSF CMMI-1451078 (PI), NSF CMMI-1634505 (PI).