Ruicheng Ao - RankMe

17 papers A* 1Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Best Arm Identification with LLM Judges and Limited Human. CoRR Ruicheng Ao, Hongyu Chen, Siyang Gao, Hanwei Li, David Simchi-Levi
2026	J	`jnl`	Designing Service Systems from Textual Evidence. CoRR Ruicheng Ao, Hongyu Chen, Siyang Gao, Hanwei Li, David Simchi-Levi
2026	J	`jnl`	On the Reliability Limits of LLM-Based Multi-Agent Planning. CoRR Ruicheng Ao, Siyang Gao, David Simchi-Levi
2026	J	`jnl`	OptiRepair: Closed-Loop Diagnosis and Repair of Supply Chain Optimization Models with LLM Agents. CoRR Ruicheng Ao, David Simchi-Levi, Xinshang Wang
2026	J	`jnl`	PPI-SVRG: Unifying Prediction-Powered Inference and Variance Reduction for Semi-Supervised Optimization. CoRR Ruicheng Ao, Hongyu Chen, Haoyang Liu, David Simchi-Levi, Will Wei Sun
2026	J	`jnl`	Solver-in-the-Loop: MDP-Based Benchmarks for Self-Correction and Behavioral Rationality in Operations Research. CoRR Ruicheng Ao, David Simchi-Levi, Xinshang Wang
2026	J	`jnl`	The Value of Information in Resource-Constrained Pricing. CoRR Ruicheng Ao, Jiashuo Jiang, David Simchi-Levi
2025	J	`jnl`	Decision-dependent Robust Charging Infrastructure Planning for Light-duty Truck Electrification at Industrial Sites: Scheduling and Abandonment. CoRR Yifu Ding, Ruicheng Ao, Pablo Duenas Martinez, Thomas Magnanti
2025	J	`jnl`	Learning to Price with Resource Constraints: From Full Information to Machine-Learned Prices. CoRR Ruicheng Ao, Jiashuo Jiang, David Simchi-Levi
2025	J	`jnl`	Optimizing LLM Inference: Fluid-Guided Online Scheduling with Memory Constraints. CoRR Ruicheng Ao, Gan Luo, David Simchi-Levi, Xinshang Wang
2024	J	`jnl`	Online Local False Discovery Rate Control: A Resource Allocation Approach. CoRR Ruicheng Ao, Hongyu Chen, David Simchi-Levi, Feng Zhu
2024	J	`jnl`	Prediction-Guided Active Experiments. CoRR Ruicheng Ao, Hongyu Chen, David Simchi-Levi
2024	J	`jnl`	Riemannian Natural Gradient Methods. SIAM J. Sci. Comput. Jiang Hu, Ruicheng Ao, Anthony Man-Cho So, Minghan Yang, Zaiwen Wen
2023	A*	`conf`	Asynchronous Gradient Play in Zero-Sum Multi-agent Games. ICLR Ruicheng Ao, Shicong Cen, Yuejie Chi
2023	J	`jnl`	Monte Carlo Policy Gradient Method for Binary Optimization. CoRR Cheng Chen, Ruitao Chen, Tianyou Li, Ruicheng Ao, Zaiwen Wen
2022	J	`jnl`	Asynchronous Gradient Play in Zero-Sum Multi-agent Games. CoRR Ruicheng Ao, Shicong Cen, Yuejie Chi
2022	J	`jnl`	Riemannian Natural Gradient Methods. CoRR Jiang Hu, Ruicheng Ao, Anthony Man-Cho So, Minghan Yang, Zaiwen Wen