Adam (Xinmiao) Huang
I am a third-year PhD student in Computer Science at the University of Liverpool, advised by Prof. Xiaowei Huang and Dr. Yi Dong.
I work on trustworthy AI: making learning-enabled systems whose behaviour we can predict, monitor, and verify. My current directions are:
- Runtime monitoring for LLM agents: warning of failures before they happen, with interpretable traces.
- Neuro-symbolic and spatial reasoning in large multimodal models.
- Formal safety verification for learning-enabled robotics.
Outside the lab, I do Olympic weightlifting, tinker with 3D printing, and shoot film.
News
- 2026.06: Paper accepted at IROS 2026.
- 2026.04: Two papers accepted at ACL 2026. Congratulations to all co-authors.
- 2026.01: Paper accepted at ICLR 2026.
- 2024.12: Gave a tutorial session about Neural Symbolic AI at TACPS & Trust-AI Reading Group.
- 2024.10: Started my PhD at the University of Liverpool under Prof. Xiaowei Huang and Dr. Yi Dong.
- 2023.12: Graduated from University of Bristol MSc Robotics with Distinction.
Selected Works
Qisong He, Xinmiao Huang, Jinwei Hu, Zhuoyun Li, Yi Dong, Changshun Wu, Xiaowei Huang.
IROS 2026.
PrefixGuard: From LLM-Agent Traces to Online Failure-Warning Monitors
Xinmiao Huang, Jinwei Hu, Rajarshi Roy, Changshun Wu, Yi Dong, Xiaowei Huang.
arXiv 2026.
Lying with Truths: Open-Channel Multi-Agent Collusion for Belief Manipulation via Generative Montage
Jinwei Hu, Xinmiao Huang, Youcheng Sun, Yi Dong, Xiaowei Huang.
ACL 2026 Oral (Outstanding Paper).
Boxuan Wang, Zhuoyun Li, Xinmiao Huang, Xiaowei Huang, Yi Dong.
ACL 2026.
Spatial-DISE: A Unified Benchmark for Evaluating Spatial Reasoning in Vision-Language Models
Xinmiao Huang, Qisong He, Zhenglin Huang, Boxuan Wang, Zhuoyun Li, Guangliang Cheng, Yi Dong, Xiaowei Huang.
ICLR 2026.
3D map construction of coal mine roadway mobile robot based on integrated factor graph optimization
ZOU Xiaoyu, HUANG Xinmiao, WANG Zhongbin, FANG Dongsheng, PAN Jie, SI Lei.
Journal of Mine Automation, 2022.