2009年本科毕业于西安交通大学，随后在西安交通大学图像处理与识别研究所攻读博士学位，并于2016年获信息与通信工程专业博士学位。随后加入加拿大University of Western Ontario任博士后研究员，从事医学图像分析研究。2018年被聘为深圳大学副教授。主要研究方向包括基于机器学习的医学图像分析、图像质量评价等。目前以第一作者在领域顶级国际期刊和会议发表相关研究成果10余篇，两篇文章入选ESI高被引文章，荣获2017年MICCAI Young Scientist Award，组织主办MICCAI 2018 Left Ventricle Full Quantification Challenge，担任多个领域顶级期刊审稿人。
 
 研究方向：

（1）医学图像分析、图像质量评价、计算机视觉；
 
 代表性论文：

1. Wufeng Xue, Gary Brahm, Sachin Pandey, Stephanie Leung, and Shuo Li. Full left ventricle quantification via deep multitask relationships learning. Medical Image Analysis, 43:54–65, Jan. 2018.
2. Wufeng Xue, Ali Islam, Mousumi Bhaduri, and Shuo Li. Direct multitype cardiac indices estimation via joint representation and regression learning. IEEE Transactions on Medical Imaging, 36(10):2057–2067, 2017.
3. Wufeng Xue, Lei Zhang, Xuanqin Mou, and Alan C. Bovik. Gradient magnitude similarity deviation: A highly efficient perceptual image quality index. IEEE Transactions on Image Processing, 23(2):684–695, Feb 2014. ESI Highly Cited Paper.
4. Wufeng Xue, Xuanqin Mou, Lei Zhang, Alan Bovik, and Xiangchu Feng. Blind image quality assessment using joint statistics of gradient magnitude and laplacian features. IEEE Transactions on Image Processing, 23(11):4850–4862, Nov. 2014. ESI Highly Cited Paper.
5. Wufeng Xue, Ilanit Ben Nachum, Sachin Pandey, James Warrington, Stephanie Leung, and Shuo Li. Direct estimation of regional wall thicknesses via residual recurrent neural network. In IPMI, 2017. (Oral)
6. Wufeng Xue, Andrea Lum, Ashley Mercado, Mark Landis, James Warringto, and Shuo Li. Full quantification of left ventricle via deep multitask learning network respecting intra-and inter-task relatedness. MICCAI, 2017. (Oral)
7. Wufeng Xue, Lei Zhang, and Xuanqin Mou. Learning without human scores for blind image quality assessment. In CVPR, 2013.
8. Wufeng Xue, Xuanqin Mou, Lei Zhang, and Xiangchu Feng. Perceptual fidelity aware mean squared error. In ICCV, 2013.