I'm Yingshu Li (李英舒), a final-year Ph.D. candidate at the University of Sydney, supervised by Prof. Luping Zhou. During my PhD, I have also been fortunate to receive mentorship from Prof. Lei Wang and Prof. Lingqiao Liu. My research centres on multi-modal large language models (MLLMs), computer vision, and medical imaging analysis — in particular radiology report generation and large multimodal embedding models — with work published at CVPR, AAAI, ECCV, ACM MM, MICCAI, IEEE TMI, MedIA, and Meta-Radiology. Prior to my PhD, I received my Master’s degree from the University of Sydney.

Alongside my academic work, I interned at TikTok (Trust & Safety), building scalable LLM training frameworks and training MLLM-based embedding models for large-scale video content governance. I am currently on the job market for Applied Scientist, Research Scientist, and Machine Learning Engineer roles, and am equally open to postdoctoral positions.