Research Interest

• Methodologies: Machine learning, online convex optimization, stochastic processes
• Research areas: Inventory and supply chain management, sustainable operations, queueing systems

Publication

• Wu, S., & Yang, L. (2021). Optimizing Queues When Customers Commit the Sunk Cost Fallacy. Available at SSRN 3937766.

Working Paper

• Yang, L., & Wu, S. (2024). Online Learning Algorithms for Multi-product Inventory Systems with Shipping Costs.
• Yang, L., & Wu, S. (2024). Multi-product Inventory Control with Consideration of Shipping Costs.

Presentations

• “Learning-Based Algorithms for Multi-Product Inventory Control: The Value of Incorporating Order Fulfillment Dynamics into Inventory Planning” at The 15th Production and Operations Management Society - Hong Kong Chapter International Conference (POMS HK), Hong Kong SAR, Jan 2025.
• “Learning-Based Algorithms for Multi-Product Inventory Control: The Value of Incorporating Order Fulfillment Dynamics into Inventory Planning” at INFORMS Annual Meeting, Seattle, Washington, USA, Oct 2024.
• “Optimizing Queues When Customers Commit the Sunk Cost Fallacy” at INFORMS Annual Meeting, Phoenix, Arizona, USA, Oct 2023.
• “Optimizing Queues When Customers Commit the Sunk Cost Fallacy” at POMS International Conference in China, Xi’an, China, June 2022.
• “Optimizing Queues When Customers Commit the Sunk Cost Fallacy” at The 12th Production and Operations Management Society - Hong Kong Chapter International Conference (POMS HK), Hong Kong SAR, Jan 2022.