Ruicheng Ao

According to our database, Ruicheng Ao authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

On the Reliability Limits of LLM-Based Multi-Agent Planning.

Ruicheng Ao, Siyang Gao, David Simchi-Levi

CoRR, March, 2026

The Value of Information in Resource-Constrained Pricing.

Ruicheng Ao, Jiashuo Jiang, David Simchi-Levi

CoRR, March, 2026

Designing Service Systems from Textual Evidence.

Ruicheng Ao, Hongyu Chen, Siyang Gao, Hanwei Li, David Simchi-Levi

CoRR, March, 2026

OptiRepair: Closed-Loop Diagnosis and Repair of Supply Chain Optimization Models with LLM Agents.

Ruicheng Ao, David Simchi-Levi, Xinshang Wang

CoRR, February, 2026

Best Arm Identification with LLM Judges and Limited Human.

Ruicheng Ao, Hongyu Chen, Siyang Gao, Hanwei Li, David Simchi-Levi

CoRR, January, 2026

PPI-SVRG: Unifying Prediction-Powered Inference and Variance Reduction for Semi-Supervised Optimization.

Ruicheng Ao, Hongyu Chen, Haoyang Liu, David Simchi-Levi, Will Wei Sun

CoRR, January, 2026

Solver-in-the-Loop: MDP-Based Benchmarks for Self-Correction and Behavioral Rationality in Operations Research.

Ruicheng Ao, David Simchi-Levi, Xinshang Wang

CoRR, January, 2026

2025

Decision-dependent Robust Charging Infrastructure Planning for Light-duty Truck Electrification at Industrial Sites: Scheduling and Abandonment.

Yifu Ding, Ruicheng Ao, Pablo Duenas Martinez, Thomas Magnanti

CoRR, October, 2025

Optimizing LLM Inference: Fluid-Guided Online Scheduling with Memory Constraints.

Ruicheng Ao, Gan Luo, David Simchi-Levi, Xinshang Wang

CoRR, April, 2025

Learning to price with resource constraints: from full information to machine-learned prices.

Ruicheng Ao, Jiashuo Jiang, David Simchi-Levi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Riemannian Natural Gradient Methods.

Jiang Hu, Ruicheng Ao, Anthony Man-Cho So, Minghan Yang, Zaiwen Wen

SIAM J. Sci. Comput., February, 2024

Prediction-Guided Active Experiments.

Ruicheng Ao, Hongyu Chen, David Simchi-Levi

CoRR, 2024

Online Local False Discovery Rate Control: A Resource Allocation Approach.

Ruicheng Ao, Hongyu Chen, David Simchi-Levi, Feng Zhu

CoRR, 2024

2023

Monte Carlo Policy Gradient Method for Binary Optimization.

Cheng Chen, Ruitao Chen, Tianyou Li, Ruicheng Ao, Zaiwen Wen

CoRR, 2023

Asynchronous Gradient Play in Zero-Sum Multi-agent Games.

Ruicheng Ao, Shicong Cen, Yuejie Chi

Proceedings of the Eleventh International Conference on Learning Representations, 2023