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Lian Xu is a research fellow in the Department of Computer Science and Software Engineering at The University of Western Australia (UWA). He completed his PhD at UWA in 2021. His research interests lie in the broad areas of machine learning, computer vision, healthcare, smart agriculture, and automatic marine monitoring application domains. In particular, he focuses on annotation-efficient learning, scene understanding, weakly supervised object localization, weakly supervised semantic segmentation, and multi-modal learning, particularly in the context of vision-language data. Lian has published several works in top-tier conferences and journals in the field of computer vision, including the Computer Vision and Pattern Recognition (CVPR), International Conference on Computer Vision (ICCV), IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), and IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
The University of Western Australia • Perth, Australia
Conducting advanced research in machine learning and computer vision, focusing on annotation-efficient learning and scene understanding.
Requirements are standardized across the Graduate School for most Master by Coursework programs at UWA.