Yu Tian
Yu Tian is a postdoctoral researcher at the University of Pennsylvania. Prior to joining UPenn, he was a postdoctoral research fellow at Harvard University. He earned both his Ph.D. and his BSc with First Class Honours in computer science from the Australian Institute for Machine Learning (AIML) at the University of Adelaide.
Research
My main research interests are in the fields of computer vision and medical image analysis, in particular trustworthy AI tasks including abnormality and rarity learning tasks, OoD detection, fairness learning, federated learning and their applications in medicine. I also have interests in developing multi-modal medical foundational models recently.🔥🔥 I am actively seeking motivated graduate students and senior undergraduates interested in collaboration. I am also committed to mentorship and welcome inquiries from those new to the field of computer vision and medical AI. Please feel free to email me if you're interested. Remote collaboration is highly encouraged!
News
| One paper on fairness under domain shift is accepted to ECCV 2024. | |
| Two recent papers are accepted to Medical Image Analysis. One about artifact correction and another about malignant breast lesion detection. | |
| One paper is accepted to IEEE Transactions on Medical Imaging (TMI). | |
| Two papers are accepted to CVPR2024. | |
| One paper on OoD detection for NLP systems is accepted in COLING2024. | |
| Two papers are accepted in ICLR2024. One about fairness learning and another about zero-shot anomaly detection. |
