My Google Scholar profile can be found by clicking here.
Research Projects:
Accepted
- Jinglong Zhao, Zijie Zhou, ”Pigeonhole Design: Balancing Sequential Experiments from an Online Matching Perspective”, Management Science, 2023
- Patrick Jaillet, Chara Podimata, Andrew Vakhutinsky, Zijie Zhou, “When Should you Offer an Upgrade: Online Upgrading Mechanisms for Resource Allocation”, INFORMS Service Science Best Student Paper Competition Finalist (Winner to be Announced), Accepted by WINE 2024, forwarded to Operations Research
- Patrick Jaillet, Chara Podimata, Zijie Zhou, “Grace Period is All You Need: Individual Fairness without Revenue Loss in Revenue Management”, Accepted by WINE 2024, under Major Revision of Manufacturing & Service Operations Management
- Zijie Zhou, “Best Strategy for Each Team in The Regular Season to Win Champion in The Knockout Tournament”, SIURO, 2020
- Andrea Boskovic, Qinyi Chen, Dominik Kufel, Zijie Zhou, “Online Learning and Matching for Resource Allocation Problems”, SIURO, 2020
Submitted
- Negin Golrezaei, Patrick Jaillet, Zijie Zhou, “Online Resource Allocation with Convex-set Machine-learned Advice”, under Major Revision of Operations Research
- Negin Golrezaei, Patrick Jaillet, Zijie Zhou, “Online Resource Allocation with Samples”, under Major Revision of Operations Research
- Rui Sun, Xinshang Wang, Zijie Zhou, “Near-Optimal Primal-Dual Algorithms for Quantity-Based Network Revenue Management”, under Major Revision of Mathematics of Operations Research
- Stefanus Jasin, Andrew Vakhutinsky, Zijie Zhou, “Robust Optimization Approach to Overbooking in Hotel Revenue Management”, US Patent
Internship:
- Research Assistant in Microsoft Research. Project: Foundational Model on Large Language Model (LLM) Inference: Online Batching and Scheduling
- Research Assistant in Oracle Lab. Project: Holistic Optimization for Hotel Revenue Management
Presentations:
Upcoming
Previous Talks
- “Online Upgrading Mechanisms for Resource Allocation”, NUS Analytics for X, Aug 2024
- “Foundational Model on Large Language Model (LLM) Inference: Online Batching and Scheduling”, Microsoft Research, Aug 2024
- “Online Resource Allocation with Convex-set Advice”, INFORMS Annual Meeting, Oct 2023
- “Holistic Optimization for Hotel Revenue Management”, INFORMS Annual Meeting, Oct 2023
- “Stratifying Online Field Experiments Using the Pigeonhole Design”, MIT LIDS Annual Conference, Jan 2022
- “Stratifying Online Field Experiments Using the Pigeonhole Design”, POMS Annual Conference, Apr 2022
- “LP-Free Algorithms for Network Revenue Management”, Industry Studies Association Annual Conference, Jun 2022
- “Near-Optimal Primal-Dual Algorithms for Quantity-Based Network Revenue Management”, INFORMS Annual Meeting, Oct 2021
- “LP-Free Algorithms for Network Revenue Management”, MIT ORC Student Seminar, Oct 2021
- “Best Strategy for Each Team in the Regular Season to Win the Champion”, SIAM Annual Meeting, Jul 2021 ; Indiana section of MAA conference, Apr 2019
- “Local Time in Brownian Motion”, Purdue University, Apr 2020
- “Traffic Shaping and Webpage-Optimization”, Institute for Pure and Applied Mathematics (IPAM), Aug 2019
Awards
- Most Outstanding Senior Student in College of Science Award, Purdue University, Apr 2021
- Most Outstanding Student in Department of Statistics, Purdue University, Apr 2020
- Jerison Memorial Award – Best Student in Analysis, Purdue University, Apr 2019