Xianghua XieView profile
Professor
Professor Xianghua Xie is a full Professor in the Department of Computer Science at Swansea University, leading the Computer Vision and Machine Learning research team (CSVision). He holds a PhD and MSc from the University of Bristol and has held academic positions since 2007. His research focuses on Pattern Recognition, Machine Intelligence, and their applications in medical imaging, automated diagnosis, and deep learning. He has published over 150 refereed papers and serves as an associate editor for IET Computer Vision. Education: PhD (2006), MSc (2002) in Computer Science from University of Bristol Affiliations: Swansea University, CSVision Group, Member of Faculty of Science and Engineering Research Interests: Professor Xie's work spans computer vision, medical image analysis, deep learning architectures, and federated learning. He has pioneered methods in automated medical image segmentation, abnormal pattern detection, and efficient deep learning models. His research integrates interdisciplinary approaches, addressing challenges in healthcare diagnostics and large-scale data analysis. Publications: His recent work emphasizes advancements in weakly supervised semantic segmentation, federated learning security, and medical image understanding. Key themes include developing robust models for LiDAR-based vehicle detection, nuclei segmentation in histopathology, and cross-resolution person re-identification. Grants & Labs: Investigator on EPSRC, Leverhulme, and NISCHR-funded projects. Leads the CSVision lab, collaborating on projects like automated diagnosis systems and cardiovascular imaging analysis. Active in conference organization (e.g., BMVC2015/2019).
