Optimization for LLM Inference, Mathematical Modeling, Scheduling and Queueing, Online Learning and Optimization Theory, Online Resource Allocation, Experimental Design, Probability Theory.

Zijie ZHOU joined the Department of Industrial Engineering and Decision Analytics at the Hong Kong University of Science and Technology as an Assistant Professor in August 2025. He received his Ph.D. in the Operations Research from Massachusetts Institute of Technology (2025) and B.S. in Honors Mathematics & Honor Statistics from Purdue University (2021).

• INFORMS Service Science Best Student Paper Competition Finalist (2024)
• MIT Kaufman Teaching Certificate (2024)

1. Meixuan Wang, Yinyu Ye, Zijie Zhou (2025), LLM Serving Optimization with Variable Prefill and Decode Lengths, INFORMS Undergraduate Operations Research Prize Competition Finalist.  arXiv:2508.06133v2


2. Zixi Chen, Yinyu Ye, Zijie Zhou (2025), Adaptively Robust LLM Inference Optimization under Prediction Uncertainty, arXiv:2508.14544v2 


3. Jinglong Zhao, Zijie Zhou (2024), Pigeonhole Design: Balancing Sequential Experiments from an Online Matching Perspective. Management Science 71(3), pp.1889-1908. 


4. Patrick Jaillet, Jiashuo Jiang, Konstantina Mellou, Marco Molinaro, Chara Podimata, Zijie Zhou (2025), Online Scheduling for LLM Inference with KV Cache Constraints. arXiv:2502.0711


5. Negin Golrezaei, Patrick Jaillet, Zijie Zhou (2023), Online Resource Allocation with Convex-set Machine-Learned Advice. arXiv:2306.12282


6. Patrick Jaillet, Chara Podimata, Andrew Vakhutinsky, Zijie Zhou (2024), When Should you Offer an Upgrade: Online Upgrading Mechanisms for Resource Allocation. INFORMS Service Science Best Student Paper Competition Finalist. Accepted in WINE 2024. arXiv:2402.08804 


7. Patrick Jaillet, Chara Podimata, Zijie Zhou (2024), Grace Period is All You Need: Individual Fairness without Revenue Loss in Revenue Management. Major Revision in Manufacturing & Service Operations Management. Accepted in WINE 2024. arXiv:2402.08533 


8. Negin Golrezaei, Patrick Jaillet, Zijie Zhou (2022), Online Resource Allocation with Samples. Major Revision in Operations Research arXiv:2210.04774 


9. Rui Sun, Xinshang Wang, Zijie Zhou (2020), Near-Optimal Primal-Dual Algorithms for Quantity-Based Network Revenue Management. Major Revision in Mathematics of Operations Research arXiv:2011.06327


10. Zijie Zhou (2020), Best Strategy for Each Team in The Regular Season to Win Champion in The Knockout Tournament. SIAM Undergraduate Research Online, arXiv:2006.02895 


11. Andrea Boskovic, Qinyi Chen, Dominik Kufel, Zijie Zhou (2020), Online Learning and Matching for Resource Allocation Problems. SIAM Undergraduate Research Online, 2020. arXiv:1911.07409