Zhenhui Ou

Zhenhui Ou

Welcome to Zhenhui’s Homepage!

I am Zhenhui Ou, a CS PhD student advised by Prof. Yingzhen Yang at Statistical Deep Learning (SDL) Lab. Previously, I completed a dual-degree program between Fuzhou University (FZU) and Maynooth University (MU), earning Bachelor’s degrees in Automation and Robotics and Intelligent Devices. I am very fortunately advised by and maintain closely connected with Prof. Huan Liu, Prof. Wenxi Liu, Dawei Li and Zhen Tan.

My work centers on large-scale, domain-adapted LLMs and multimodal, tool-augmented agents that ground reasoning in perception, simulation, and structured knowledge to deliver reliable, verifiable decision support for safety-critical, unstructured environments.

📝 Publications

CIKM 2025
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Building Safer Sites: A Large-Scale Multi-Level Dataset for Construction Safety Research

Zhenhui Ou, Dawei Li, Zhen Tan, Wenlin Li, Huan Liu, Siyuan Song.

  • This paper introduces CSDataset, a large-scale multi-level OSHA construction safety benchmark that links incidents–inspections–violations (2013–2022) with both structured attributes and narrative text to enable ML/LLM benchmarking and cross-level analyses such as injury severity prediction and inspection–incident causal insights
EMNLP 2025
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LLMs as World Models: Data-Driven and Human-Centered Pre-Event Simulation for Disaster Impact Assessment

Lingyao Li, Dawei Li, Zhenhui Ou, Xiaoran Xu, Jingxiao Liu, Zihui Ma, Runlong Yu, Min Deng.

  • This paper proposes an LLM-as-world-model framework that fuses multimodal pre-event context to simulate human-perceived earthquake impacts at zip scales, achieving strong agreement with USGS “Did You Feel It?” reports and showing gains from RAG/ICL and visual inputs.

🎖 Honors and Awards

  • 2026.01 ASU University Graduate Fellowship.
  • 2025.11 ASU Graduate College Travel Award.
  • 2024.09 ASU Fulton Fellowship. ASU Ira A. Fulton Schools of Engineering PhD Fellowships.
  • 2023.12 Innovation Scholarship (One of the highest undergraduate awards).
  • 2022.08 China University Intelligent Robot Competition First Prize (Simulated spider plot robot).
  • 2021.05 First Prize Scholarship of MIEC (Top 1% students in FZU).

📖 Educations

  • 2024.09 - Present, Arizona State University, Ph.D. in Computer Science.
  • 2020.09 - 2024.06, Maynooth University, BS in Robotics and Intelligent Devices (First-Class Honours).
  • 2020.09 - 2024.06, Fuzhou University, BE in Automation.

💻 Experience

  • Arizona State University, 2024.09 - 2026.01.
    • Research Assistant.
    • Worked on LLM-enhanced construction safety analytics by building a large-scale incidents–inspections–violations dataset, developing hybrid ML+LLM risk modeling with interpretable explanations, designing an LLM-as-a-Judge evaluation pipeline, and proposing an evidence-driven multi-agent framework for grounded safety reasoning and uncertainty-aware auditing.
  • Fuzhou University, 2022.07 - 2024.05.
    • Research Intern.
    • Worked with Prof. Wenxi Liu and Prof. Yutao Chen on safe reinforcement-learning-based autonomous robot navigation in dynamic, unknown environments, and on Simulink/Adams virtual prototyping for CPG-driven quadruped gait and motion control.

💬 Service

  • Serve as a reviewer for CVPR 2024, CIKM 2025 and CRC 2026.
  • Teaching Assistant: FZU & MU CS427 Autonomous Mobile Robotics, Fall 2023.
  • Teaching Assistant: FZU & MU EE311 Control System Design, Spring 2023.
  • Teaching Assistant: FZU & MU EE204 Analog Electronics, Fall 2022.