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Yuze Chen

Tsinghua University, Students

Beijing

China

SCHOLARLY PAPERS

4

DOWNLOADS

131

TOTAL CITATIONS

0

Scholarly Papers (4)

1.

AdaSwitch: An Adaptive Switching Meta-Algorithm for Learning-Augmented Bounded-Influence Problems

Number of pages: 62 Posted: 11 Sep 2025
Xi Chen, Yuze Chen and Yuan Zhou
New York University (NYU) - Leonard N. Stern School of Business, Tsinghua University, Students and Tsinghua University - Yau Mathematical Sciences Center
Downloads 51 (1,052,702)

Abstract:

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Learning-Augmented Problems, Bounded-Influence Online Decision-Making Problems, Lead-Time Quotation, K-Server Problem, Reusable Resource Allocation

2.

A Minimax-MDP Framework with Future-imposed Conditions for Learning-augmented Problems

Number of pages: 64 Posted: 07 May 2025
Xin Chen, Yuze Chen and Yuan Zhou
Georgia Institute of Technology - H. Milton Stewart School of Industrial and Systems Engineering, Tsinghua University, Students and Tsinghua University - Yau Mathematical Sciences Center
Downloads 47 (1,109,210)

Abstract:

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learning-augmented problems, minimax-MDPs, future-imposed conditions, inventory control, resource allocation

3.

Online Linear Programming with Replenishment

Number of pages: 63 Posted: 03 Feb 2026
Tsinghua University, Students, Tsinghua University - Yau Mathematical Sciences Center, Bytedance Inc., Tsinghua University, Students, Bytedance Inc. and Bytedance Inc.
Downloads 23 (1,448,301)

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Online Linear Programming, Replenishment, Online Learning and Decision-Making, Regret Minimization

4.

Optimal and Order-optimal Gated Priority-based Greedy Policies for Two-layer Multi-item Order Fulfillment

Number of pages: 63 Posted: 08 Jun 2026
Xi Chen, Yuze Chen, Ziyi Chen and Yuan Zhou
New York University (NYU) - Leonard N. Stern School of Business, Tsinghua University, Students, Tsinghua University, Students and Tsinghua University - Yau Mathematical Sciences Center
Downloads 10

Abstract:

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E-Commerce, Two-Layer Multi-Item Order Fulfillment, Online Decision-Making, Competitive Ratio, Gated Priority-Based Greedy Policy