NAME: Xue, Wufeng

POSITION TITLE: Associate Professor, School of Biomedical Engineering, Health Science Center, Shenzhen University

EDUCATION/TRAINING

A.   Personal Statement

My research interests include medical image analysis for computer aided diagnosis with advanced machine learning technologies (especially for cardiac disease), image perceptual quality/utility assessment with low-level bio-inspired features, and a combination of both for developing robust and reliable solutions of automated routine clinical practice in cardiac disease diagnosis.

B.   Positions and Honors

Positions and Employment

09/2012-12/2012         Research Assistant, Department of Computing, The Hong Kong Polytechnic University, Hong Kong

02/2016–3/2018          Postdoctoral Research Fellow, University of Western Ontario, London, Canada

04/2018 – present       Associate Professor, School of Biomedical Engineering, Health Science Center, Shenzhen University

Organizing International Meetings

1.    Co-organizer, MICCAI 2018 Left Ventricle Full Quantification Challenge, September 16, 2018 Granada, Spain.

Academic Service

1.    Reviewer of IEEE Transactions on Image Processing

2.    Reviewer of IEEE Transactions on Neural Networks and Learning Systems

3.    Reviewer of IEEE Transactions on Industrial Electronics

4.    Reviewer of IEEE Transactions on Cybernetics

5.    Reviewer of IEEE Transactions on Circuits and Systems for Video Technology

6.    Reviewer of IEEE Transactions on Multimedia

7.    Reviewer of IEEE Signal Processing Letters

8.    Reviewer of Signal, Image and Video Processing, Springer

9.    Reviewer of Neurocomputing, Elsevier

10.  Reviewer of Information Fusion, Elsevier

11.  Reviewer of Pattern Recognition, Elsevier

12.  Reviewer of Journal of Visual Communication and Image Representation, Elsevier

Other Experience and Honors

1.    Invited Speaker of Medical Image Computing Seminar (MICS) 2018, Nanjing, July 14-15, 2018

2.    Invited Speaker of BIRC Workshop on Deep Learning in Medicine, London, ON, Canada, August 28, 2017

3.    Young Scientist Award, MICCAI 2017

4.    Travel grant award, MICCAI 2017

5.    XinYuanTong excellent academic paper award, XJTU, 2014, 2015

6.    Volunteer of IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP), Xi’an, 2014

7.    GuangHua Scholarship for excellent annual achievements, XJTU, 2013

8.    HuaWei Scholarship for excellent annual achievements, XJTU, 2012

9.    Second Prize in National Post-Graduate Mathematical Contest in Modeling, China, 2010

10.  Honored with the Chinese Graduate Entrance Examination Waiver, 2009

11.  Excellent Graduation Thesis, XJTU, 2009

12.  Provincial First Prize in National Mathematical Contest in Modeling, China, 2007

13.  Virya Scholarship, sponsored by Virya Foundation Limited (HK), 2006

C.   Peer-reviewed publications (*: corresponding author)

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.      Xuande Zhang, Xiangchu Feng, Weiwei Wang, and Wufeng Xue . Edge strength similarity for image quality assessment. IEEE Signal Processing Letters, 20(4), Apr. 2013.

6.      Wufeng Xue , Xuanqin Mou, and Lei Zhang. Learn to evaluate image perceptual quality blindly from statistics of self-similarity. arXiv preprint arXiv:1510.02884, 2015.

7.      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 )

8.      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 )

9.      Wufeng Xue , Lei Zhang, and Xuanqin Mou. Learning without human scores for blind image quality assessment. In CVPR, 2013.

10.   Wufeng Xue , Xuanqin Mou, Lei Zhang, and Xiangchu Feng. Perceptual fidelity aware mean squared error. In ICCV, 2013.

11.   Wufeng Xue , Xuanqin Mou, and Lei Zhang. Decoupled marginal distribution of gradient magnitude and Laplacian of gaussian for texture classification. In CCF Chinese Conference on Computer Vision, pages 418–428, 2015.

12.   Wufeng Xue and Xuanqin Mou. Image quality assessment with mean squared error in a LoG based perceptual response domain. In Signal and Information Processing (ChinaSIP), 2014 IEEE China Summit & International Conference on, pages 315–319. IEEE, 2014.

13.   Xuanqin Mou, Wufeng Xue , Congmin Chen, and Lei Zhang. Log acts as a good feature in the task of image quality assessment. In Digital Photography, page 902313, 2014.

14.   Xuanqin Mou, Wufeng Xue , and Lei Zhang. Reduced reference image quality assessment via sub-image similarity based redundancy measurement. In Human Vision and Electronic Imaging, page 82911S, 2012.

15.   Wufeng Xue and Xuanqin Mou. An image quality assessment metric based on non-shift edge. In ICIP, pages 3309–3312. IEEE, 2011.

16.   Wufeng Xue and Xuanqin Mou. Reduced reference image quality assessment based on Weibull statistics. In QoMEX, pages 1–6. IEEE, 2010.

17.   Peng Yan, Xuanqin Mou, and Wufeng Xue . Video quality assessment via gradient magnitude similarity deviation of spatial and spatiotemporal slices. In SPIE/IS&T Electronic Imaging, pages 94110M–94110M, 2015.

18.   Ti Bai, Xuanqin Mou, Wufeng Xue , Hao Yan, and Steve Jiang. Iterative CT reconstruction with regularization parameter tuned by blind image quality assessment. In Annual Fully 3D Image Reconstruction in Radiology and Nuclear Medicine, 2015.

19.   Min Zhang, Xuanqin Mou, Hiroshi Fujita, Lei Zhang, Xiangrong Zhou, and Wufeng Xue . Local binary pattern statistics feature for reduced reference image quality assessment. In Digital Photography, page 86600L, 2013.

20.   Yuting Chen, Wufeng Xue , and Xuanqin Mou. Reduced-reference image quality assessment based on statistics of edge patterns. In Digital Photography, page 82990C, 2012.

21.   Xuanqin Mou, Min Zhang, Wufeng Xue , and Lei Zhang. Image quality assessment based on edge. In Proceedings of SPIE, volume 7876, page 78760N, 2011.

22.   Min Zhang, Wufeng Xue , and Xuanqin Mou. Reduced reference image quality assessment based on statistics of edge. In Proceedings of SPIE, volume 7876, page 35, 2011.