Yicheng Bai

About Me

I obtained my Ph.D. in Operations Research at Cornell University, advised by Professor Huseyin Topaloglu at Cornell Tech. Prior to that, I obtained my B.E. in Automation at Tsinghua University in 2018, with a minor in Statistics.

I am broadly interested in developing efficient and provably good algorithms for online and offline decision problems with applications in revenue management, pricing, inventory control, online marketplaces and the sharing economy.

Journal Publications

• Joint Placement, Delivery Promise and Fulfillment in Online Retail

Yicheng Bai, Paat Rusmevichientong and Huseyin Topaloglu, Management Science, forthcoming.

• Coordinated Inventory Stocking and Assortment Customization

Yicheng Bai, Omar El Housni, Paat Rusmevichientong and Huseyin Topaloglu, Operations Research, forthcoming.

• Assortment Optimization under the Multi-Purchase Multinomial Logit Choice Model

Yicheng Bai, Jacob Feldman, Danny Segev, Huseyin Topaloglu and Laura Wagner, Operations Research, Vol. 72, No. 6, pp. 2631-2664, 2024.

• Assortment Optimization under the Multinomial Logit Model with Utility-Based Rank Cutoffs

Yicheng Bai, Jacob Feldman, Huseyin Topaloglu and Laura Wagner, Operations Research, Vol. 72, No. 4, pp. 1453-1474, 2024.

• Revenue Management with Heterogeneous Resources: Unit Resource Capacities, Advance Bookings, and Itineraries over Time Intervals

Paat Rusmevichientong, Mika Sumida, Huseyin Topaloglu and Yicheng Bai, Operations Research, Vol. 71, No. 6, pp. 2196-2216, 2023.

• Fluid Approximations for Revenue Management under High-Variance Demand

Yicheng Bai, Omar El Housni, Billy Jin, Paat Rusmevichientong, Huseyin Topaloglu and David P. Williamson, Management Science, Vol. 69, No. 7, pp. 4016-4026, 2023.

Working Papers

• Assortment and Price Optimization under an Endogenous Context-Dependent Multinomial Logit Model

Yicheng Bai, Omar El Housni, Paat Rusmevichientong and Huseyin Topaloglu, major revision at Management Science.

• Multiple-Response Agents: Fast, Feasible, Approximate Primal Recovery for Dual Optimization Methods

Tetiana Parshakova, Yicheng Bai, Garrett van Ryzin and Stephen Boyd.

Talks

• Assortment and Price Optimization under an Endogenous Context-Dependent Multinomial Logit Model, 2024 INFORMS Annual Meeting, Seattle, WA.

• Joint Placement, Delivery Promise and Fulfillment in Online Retail, 2022 INFORMS Annual Meeting, Indianapolis, IN.

• Assortment Optimization under the Multinomial Logit Model in the Presence of Endogenous Consideration Sets, 2021 INFORMS Annual Meeting, Online.

• A New Decomposition Method for Network Revenue Management Problem with Unit Capacity Resources and Customer Choice, 2020 INFORMS Annual Meeting, Online.

Teaching

I have been a teaching assistant for the following courses:

• ENGRD 2700: Basic Engineering Probability and Statistics, Cornell University, Fall 2018.

• ORIE 5126: Principles of Supply Chain Management, Cornell University, Spring 2019.

• ORIE 4350: Introduction to Game Theory, Cornell University, Fall 2019.

• ORIE 5129: e-Logistics (Data Science for e-Retail and the Sharing Economy), Cornell Tech, Spring 2020, 2021 and 2023.

• ORIE 5380/ CS 5727: Optimization Methods, Cornell Tech, Fall 2020 and 2022.

Academic Services

Journal Reviewer: 

• Operations Research

• INFORMS Journal on Computing

Industrial Experience

• Research Scientist II Intern, Supply Chain Optimization Technologies (SCOT), Amazon, June 2021 - Aug. 2021.

• Research Scientist II Intern, Supply Chain Optimization Technologies (SCOT), Amazon, May 2022 - Aug. 2022.