Yu Tian
About
Yu Tian is an assistant professor at the UCF Department of Computer Science, with a joint appointment in the Department of Clinical Sciences at the College of Medicine. He is also affiliated with the UCF Artificial Intelligence Initiative and directs the AI & Imaging in Medicine Research Lab. His research focuses on computer vision, machine learning and their applications in the biomedical domains. His expertise includes trustworthy artificial intelligence (AI) anomaly detection, out-of-distribution detection, fairness learning, interpretability, federated learning, multimodal learning and generative AI. Tian has extensively published in top-tier conferences and journals, earning significant recognition from the research community. Before joining UCF, Tian was a postdoctoral researcher at Harvard University and the University of Pennsylvania. He completed both his doctoral degree (in just three years) and his bachelor’s degree with first class honors in computer science at the Australian Institute for Machine Learning at Adelaide University.
Research Performance Summary
First Recorded Paper
One-stage five-class polyp detection and classification
Year: 2019
Citations: 41
Venue: ISBI'19
Latest Recorded Paper
Medical SAM3: A Foundation Model for Universal Prompt-Driven Medical Image Segmentation
Year: 2026
Citations: 0
Venue: arXiv preprint arXiv:2601.10880
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.