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Xiaowei Zhang
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Xiaowei Zhang

Hong Kong University of Science and Technology

I am an Associate Professor at HKUST, jointly appointed in the Department of Industrial Engineering and Decision Analytics and the Department of Economics, and the Academic Director of the MSc in FinTech program. I am also affiliated with HKU Centre for AI, Management and Organization (CAMO). I serve as an Associate Editor for several leading journals in the field, including Management Science, Operations Research, Navel Research Logistics, and Queueing Systems.

My research focuses on developing innovative methodologies for data-driven decision-making, leveraging the unprecedented access to data and computational resources. By integrating advanced techniques from simulation, stochastics, and machine learning, I address complex challenges in business operations, finance, and digital economy, while investigating the transformative potential of AI technologies in these domains.

Education

  • PhD in Management Science and Engineering

    Stanford University

  • MSc in Financial Mathematics

    Stanford University

  • BSc in Mathematics

    Nankai University

Interests

  • AI Simulation
  • Reinforcement Learning
  • Stochastic Optimization
  • Service Operations Management
  • FinTech

Featured Publications

Optimizing Service Operations via LLM-Powered Multi-Agent Simulation

Service system performance depends on how participants respond to design choices, but modeling these responses is hard due to the …
Yanyuan Wang, Xiaowei Zhang
Preprint

''Over-Optimizing'' for Normality: Budget-Constrained Uncertainty Quantification for Contextual Decision-Making

We study uncertainty quantification for contextual stochastic optimization, focusing on weighted sample average approximation (wSAA), …
Yanyuan Wang, Xiaowei Zhang
Preprint

AI Persuasion, Bayesian Attribution, and Career Concerns of Decision-Makers

This paper studies AI persuasion by distinguishing between two reasons for disagreement: attention differences, where the AI detects …
Hanzhe Li, Jin Li, Ye Luo, Xiaowei Zhang
Preprint

SPARKLE: A Nonparametric Approach for Online Decision-Making with High-Dimensional Covariates

Personalized services are central to today’s digital economy, and their sequential decisions are often modeled as contextual …
Wenjia Wang, Qingwen Zhang, Xiaowei Zhang
Preprint

Predicting Effects, Missing Distributions: Evaluating LLMs as Human Behavior Simulators in Operations Management

LLMs are emerging tools for simulating human behavior in business, economics, and social science, offering a lower‑cost complement to …
Runze Zhang, Xiaowei Zhang, Mingyang Zhao
Preprint

Staffing Under Taylor's Law: A Unifying Framework for Bridging Square-Root and Linear Safety Rules

Staffing rules serve as an essential management tool in service industries to attain target service levels. Traditionally, the …
L. Jeff Hong, Weihuan Huang, Jiheng Zhang, Xiaowei Zhang
Preprint

Recent Publications

Learning to Simulate: Generative Metamodeling via Quantile Regression
L. Jeff Hong, Yanxi Hou, Qingkai Zhang, Xiaowei Zhang
Preprint
Uncertainty-Adjusted Sorting for Asset Pricing with Machine Learning
Yan Liu, Ye Luo, Zigan Wang, Xiaowei Zhang
Preprint
AgentGit: A Version Control Framework for Reliable and Scalable LLM-Powered Multi-Agent Systems
Yang Li, Siqi Ping, Xiyu Chen, Xiaojian Qi, Zigan Wang, Ye Luo, Xiaowei Zhang
Preprint
Asymptotic Theory for IV-Based Reinforcement Learning with Potential Endogeneity
Jin Li, Ye Luo, Zigan Wang, Xiaowei Zhang
Preprint
Hierarchical AI Multi-Agent Fundamental Investing: Evidence from China’s A‑Share Market
Chujun He, Zhonghao Huang, Xiangguo Li, Ye Luo, Kewei Ma, Yuxuan Xiong, Xiaowei Zhang, Mingyang Zhao
Preprint
Seesaw Experimentation: A/B Tests with Spillovers
Jin Li, Ye Luo, Xiaowei Zhang
Preprint
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