About Me

I am Renjie Liang, a Ph.D. student at the University of Florida (UF), where I serve as a research assistant in the Health Outcomes & Biomedical Informatics (HOBI) department. My research interests focus on medical image report generation using Large Language Models (LLMs), particularly for 3D CT renal images. In addition, I am exploring out-of-distribution detection and improving efficiency in radiology image for report generation. My goal is to develop amazing models with real-world data to reduce the tedious workload for medical scripting and improve its quality. Eventually, I hope to contribute to the advancement of medical report generation and improve healthcare outcomes for humanity.

Work Experiences

Education

Publications

please refer to google scholar page to check all my publications. (* Equal Contribution)

TVR-Ranking: A Dataset for Ranked Video Moment Retrieval with Imprecise Queries Renjie Liang, Li Li, Chongzhi Zhang, Jing Wang, Xizhou Zhu, Aixin Sun Preprint

Efficient Temporal Sentence Grounding in Videos with Multi-Teacher Knowledge Distillation Renjie Liang , Yiming Yang, Hui Lu, Li Li Preprint

Partial Annotation-based Video Moment Retrieval via Iterative Learning Wei Ji, Renjie Liang, Lizi Liao, Hao Fei, Fuli Feng ACM MM 2023

Are Binary Annotations Sufficient? Video Moment Retrieval via Hierarchical Uncertainty-based Active Learning Wei Ji, Renjie Liang, Zhedong Zheng, Wenqiao Zhang, Shengyu Zhang, Juncheng Li, Mengze Li, Tat-Seng Chua CVPR 2023

Services

Program Committee Member of ACM MM (2023) .