Basic Reusability and Beyond: Joint Inventory and Online Assortment Optimization with Evolving Resources
Author: Yukai Huang, Jacob Feldman, Heng Zhang. Submitted to Management Science
Posts by Collection
portfolio
Prophet Inequalities and Approximation Schemes for a New Class of Overbooking Problems in Container Shipping
Author: Jacob Feldman, Panos Kouvelis, Yukai Huang. Major Revision at Operations Research
Approximation Schemes for Dynamic Pricing with Opaque Products
Author: Jacob Feldman, Yukai Huang, Danny Segev, Levi DeValve. Work in Progress
publications
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
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Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
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Paper Title Number 4
Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
SCOT 653, Stochastic Models for Production and Service Systems
Ph.D. Seminar Course, TA, Wustl, Olin Business School, 2021
Independently holds two tutorial sessions for the Ph.D. Seminar course:
SCOT 430, Operations Fun: Data-Driven Optimization
Undergraduate Course, TA, Wustl, Olin Business School, 2024
The intent of this course of this course is to present a comprehensive look into the practical appeal of linear and integer programming. Each unit will focus on a particular class of optimization problems, and include a data-driven case study revolving around a real-world application. The topics of these case studies run the gamut from fantasy football line-up selection to Amazon delivery truck routing to picking the perfect McDonald’s order.