🚨 Preprint out — Clinical Contrastive Decoding！
A technique to mitigate hallucination in radiology MLLMs.
About Me
I’m a PhD student at the University of Glasgow, working with the AI4BioMed Lab and the Information Retrieval Group (IDA section, School of Computing Science). I am also the formulator of the Three Laws of Self-Evolving AI Agents, which provide guiding principles for building adaptive and collaborative AI systems. I’m lucky to be advised by Dr Zaiqiao Meng, Dr Jake Lever, and Dr Edmond S. L. Ho.
🚀 Something Exciting Is Coming — Bridging Research and Innovation
📬 Open to research discussions, collaborations, and startup connections — feel free to reach out!
Interests
- Generative AI
- AI4Health & AI Agents
- Multimodal Large Language Model
- Radiology Vision-language System
- Web3 & Blockchain
Education
PhD in Computing Science
University of Glasgow
Master of Information Technology & Project Management
University of Sydney
B.E. in Software Engineering
Dalian University of Technology
News
🎉 Paper Accepted — See You at EMNLP 2025!
Our paper has been accepted for System Demo with Oral.
🎉 Paper Accepted at PSB 2026!
Our paper is accepted for poster presentation.
🤖 New Preprint Out — Self-Evolving AI Agents!
A Comprehensive Survey of Self-Evolving AI Agents.
Selected Publications
Recent Publications
* indicate equal contributors.
(2025).
RadEval: A framework for radiology text evaluation.
EMNLP 2025.
(2025).
Libra: Leveraging Temporal Images for Biomedical Radiology Analysis.
ACL 2025.
(2024).
Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation.
BioNLP ACL`24.