Shenyang Qian

Hi, I’m Shenyang, a PhD student supervised by Yang.

My research interests include object detection, computer vision, data augmentation, domain adaptation and few-shot learning. My current work focuses on deep learning based rip current detection methods, including dataset construction and detector design.

Perviously, I completed a Master’s degree in Information Technology from UNSW, during which I undertook both COMP9991 and COMP9993 research projects supervised by Yang. These projects are related to few-shot learning in medical images segmentation.

My publications and outputs can be found on my Google Scholar page. If you are interested, I would be happy to discuss it further.