most citedAlphaRank: An Artificial Intelligence Approach for Ranking and Selection Problems

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2026

Dynamic Cloud Service-Capacity Deployment with Costly Response Readiness

Ruihan Zhou, Xiaowei Zhang, Yijie Peng

AI product launches require service-capacity decisions before sufficient product-specific workload histories are available. Early service observations update beliefs about remainin…

cs.CL2026

Beyond Skepticism: Evaluating LLMs Pedagogical Intent Reasoning with the Adaptive Pedagogical Vigilance Framework

Minghao Chen, Ruihan Zhou, Jiayi Tang +3

The capacity of Large Language Models (LLMs) to reason about pedagogical intent within instructional communication remains underexplored, particularly in educational domains such a…

cs.LG2026

Cold-Start Forecasting of New Product Life-Cycles via Conditional Diffusion Models

Ruihan Zhou, Zishi Zhang, Jinhui Han +2

Forecasting the life-cycle trajectory of a newly launched product is important for launch planning, resource allocation, and early risk assessment. This task is especially difficul…

q-fin.CP2024

RiskMiner: Discovering Formulaic Alphas via Risk Seeking Monte Carlo Tree Search

Tao Ren, Ruihan Zhou, Jinyang Jiang +3

The formulaic alphas are mathematical formulas that transform raw stock data into indicated signals. In the industry, a collection of formulaic alphas is combined to enhance modeli…

cs.LG2024★ 1 cited

AlphaRank: An Artificial Intelligence Approach for Ranking and Selection Problems

Ruihan Zhou, L. Jeff Hong, Yijie Peng

We introduce AlphaRank, an artificial intelligence approach to address the fixed-budget ranking and selection (R&S) problems. We formulate the sequential sampling decision as a Mar…