PhD Student at The University of SydneyYingshu Li (李英舒) is currently a third-year PhD student at the University of Sydney, supervised by Prof. Luping Zhou. During his PhD, he has also been fortunate to receive mentorship from Prof. Lei Wang and Prof. Lingqiao Liu. His research focuses on Medical AI, Large Language Models, and Vision-Language Models, particularly radiology report generation. Prior to his PhD, he received his Master’s degree from the University of Sydney.
Happy to research chats and collabs — feel free to email me!Warning
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The University of SydneySchool of Electrical and Computer Engineering
Ph.D. StudentJun. 2023 - present -
The University of SydneyM.S in Electrical and Information EngineeringAug. 2020 - Aug. 2022
Experience
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University of Illinois Urbana-ChampaignResearch InternApr. 2023 - Jul. 2023
Honors & Awards
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University of Sydney International Scholarship (USydIS)2023
News
Selected Publications (view all )
S-RRG-Bench: Structured Radiology Report Generation with Fine-Grained Evaluation Framework
Yingshu Li, Yunyi Liu, Zhanyu Wang, Xinyu Liang, Lingqiao Liu, Lei Wang, Luping Zhou
Meta-Radiology 2025
S-RRG-Bench: Structured Radiology Report Generation with Fine-Grained Evaluation Framework
Yingshu Li, Yunyi Liu, Zhanyu Wang, Xinyu Liang, Lingqiao Liu, Lei Wang, Luping Zhou
Meta-Radiology 2025
Enhancing Radiology Report Generation via Multi-Phased Supervision
Zailong Chen, Yingshu Li, Zhanyu Wang, Peng Gao, Johan Barthelemy, Luping Zhou, Lei Wang
IEEE Transactions on Medical Imaging (IEEE-TMI) 2025
Enhancing Radiology Report Generation via Multi-Phased Supervision
Zailong Chen, Yingshu Li, Zhanyu Wang, Peng Gao, Johan Barthelemy, Luping Zhou, Lei Wang
IEEE Transactions on Medical Imaging (IEEE-TMI) 2025
ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation
Yunyi Liu, Yingshu Li, Zhanyu Wang, Lei Wang, Lingqiao Liu, Luping Zhou
Under review. 2024
ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation
Yunyi Liu, Yingshu Li, Zhanyu Wang, Lei Wang, Lingqiao Liu, Luping Zhou
Under review. 2024
MRScore: Evaluating Radiology Report Generation with LLM-based Reward System
Yunyi Liu, Yingshu Li, Zhanyu Wang, Lei Wang, Lingqiao Liu, Luping Zhou
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2024 Early Accept
MRScore: Evaluating Radiology Report Generation with LLM-based Reward System
Yunyi Liu, Yingshu Li, Zhanyu Wang, Lei Wang, Lingqiao Liu, Luping Zhou
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2024 Early Accept
KARGEN: Knowledge-Enhanced Automated Radiology report generation using large language models
Yingshu Li, Zhanyu Wang, Yunyi Liu, Lei Wang, Lingqiao Liu, Luping Zhou
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2024 Early Accept
KARGEN: Knowledge-Enhanced Automated Radiology report generation using large language models
Yingshu Li, Zhanyu Wang, Yunyi Liu, Lei Wang, Lingqiao Liu, Luping Zhou
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2024 Early Accept
A Systematic Evaluation of GPT-4V‘s Multimodal Capability for Medical Image Analysis
Yunyi Liu*, Yingshu Li*, Zhanyu Wang*, Xinyu Liang, Lingqiao Liu, Lei Wang, Leyang Cui, Zhaopeng Tu, Longyue Wang, Luping Zhou (* equal contribution)
Meta-Radiology 2024
We systematically evaluated the multimodal capabilities of GPT-4V in medical image analysis, focusing on its performance across various tasks such as VQA, Report Generation, and Visual Grounding.
A Systematic Evaluation of GPT-4V‘s Multimodal Capability for Medical Image Analysis
Yunyi Liu*, Yingshu Li*, Zhanyu Wang*, Xinyu Liang, Lingqiao Liu, Lei Wang, Leyang Cui, Zhaopeng Tu, Longyue Wang, Luping Zhou (* equal contribution)
Meta-Radiology 2024
We systematically evaluated the multimodal capabilities of GPT-4V in medical image analysis, focusing on its performance across various tasks such as VQA, Report Generation, and Visual Grounding.