Yifeng (Ethan) Xiao  萧屹楓

EECS Ph.D. @ UC Berkeley  ·  Building intention infrastructure for AI agents

Hi there! It’s Yifeng (Ethan). I am currently an EECS Ph.D. student at the University of California, Berkeley (UCB), advised by Prof. Pierluigi Nuzzo.

🤖 Cyber-physical systems (CPS), such as smart grids, autonomous robots, and multi-agent platforms, face design challenges due to coupling of physical dynamics, decision-making, and requirements on safety, scalability, and performance. The same questions increasingly arise for LLM-based AI agents that take real actions in the world.

My research addresses these challenges at the intersection of formal methods, AI, and game theory, with a focus on the design, verification, and synthesis of systems that can reason, adapt, and coordinate under structured constraints.

I received my B.E. in Microelectronic Science and Engineering from Fudan University (復旦大學). I was fortunate to work with Prof. Jianli Chen and Prof. Bei Yu on machine learning-based applications in electronic design automation (EDA).

💬 Happy to chat about research, startups, or what I’m building. Feel free to reach out, or book 30 minutes with a quick note on what you’d like to discuss.

News

May 13, 2026 Paper “Contract-Based Architecture Exploration for Efficient Cyber-Physical System Design” accepted at the FORCE 2026 workshop, co-located with CAV 2026 at FLoC in Lisbon, Portugal! 🎉
Mar 18, 2026 Awarded the DATE 2026 Young People Programme Fellowship to attend DATE 2026 – Design, Automation and Test in Europe in Verona, Italy (20–22 April 2026). 🎉
Mar 02, 2026 Paper on agentified benchmarking for logical reasoning agents accepted at ICLR 2026 Workshop on AI in the Wild (AIWILD)! ✨

Selected Publications

  1. DATE
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    Contract-Based Architecture Exploration of Cyber-Physical Systems via Satisfiability Modulo Convex Programming
    Yifeng Xiao and Pierluigi Nuzzo
    In IEEE Design, Automation & Test in Europe Conference & Exhibition (DATE), 2026
  2. CDC
    /assets/gif/xiao2025incentive.gif
    Incentive Design for Safe Nash Equilibrium Learning in Large Populations via Control Barrier Functions
    Yifeng Xiao, Jair Certorio, Nuno C. Martins, and 2 more authors
    In IEEE Conference on Decision and Control (CDC), 2025
  3. DATE
    /assets/gif/xiao2024efficient.gif
    Efficient Exploration of Cyber-Physical System Architectures Using Contracts and Subgraph Isomorphism
    Yifeng Xiao, Chanwook Oh, Michele Lora, and 1 more author
    In IEEE Design, Automation & Test in Europe Conference & Exhibition (DATE), 2024

Honors and Awards

  • Best Paper Award , Design Automation and Test Conference in Europe 2024 (4/996) 2024
  • DAC Young Fellowship , Design Automation Conference 2023
  • Outstanding Graduates of Shanghai , Shanghai Municipal Government (2nd place of 122) 2020
  • National IC Design Competition - First Prize for Undergraduate Group , National IC Design Competition 2019
  • Undergraduate Excellence Scholarship of FDU , Fudan University 2018
  • SCSK Corporation Scholarship , SCSK Corporation (1/122) 2018