Yuanzhang Xiao
AI, decision, and discovery
I am an associate professor at the University of Hawaiʻi at Mānoa. I am affiliated with Hawaiʻi Advanced Wireless Technologies Institute and Electrical and Computer Engineering.
I was trained to rigorously solve multi-agent decision-making problems, drawing tools from operations research (optimization, dynamic programming), economics (game theory), and reinforcement learning. Recently, I’ve been teaching LLMs to autoformulate and solve these problems, from optimization, to Markov decision processes, to dynamical systems for scientific discovery. I’m now exploring how to build more autonomous, principled AI agents and agent networks.
selected publications
- ICLROperator Theory-Driven Autoformulation of MDPs for Control of Queueing SystemsIn The Fourteenth International Conference on Learning Representations, 2026
- ICMLAutoformulation of Mathematical Optimization Models Using LLMsIn Forty-second International Conference on Machine Learning, 2025