Yong Xia


http://jszy.nwpu.edu.cn/en/yongxia

  viewed:13089

The basic information

Yong Xia

School of Computer Science

Postgraduate

Doctor

Professor

yxia@nwpu.edu.cn

029-88491533

Work Experience

• Dec. 2013 – Now: Professor
                School of Computer Science, Northwestern Polytechnical University (NPU)

• Jan. 2007 – Dec. 2013: Postdoctoral Research Fellow
                School of Information Technologies, University of Sydney

• Nov. 2004 – Jan. 2006: Visiting Scholar
                School of Information Technologies, University of Sydney

• May – Nov. 2003: Research Assistant
               Department of Electronic and Information Engineering, Hong Kong Polytechnic University 

Education Experience

• 2003 – 2007: Ph.D. in Computer Science and Technology
                      Northwestern Polytechnical University, Xi’an, China

• 2001 – 2004: M.E. in Computer Application Technology (Direct Admission/Selected Program)
                      Northwestern Polytechnical University, Xi’an, China  

• 1997 – 2001: B.E. in Computer and Its Applications (Advanced Talented Program)
                      Northwestern Polytechnical University, Xi’an, China 

Admission Information

We welcome highly self-motivated students who are interested in pursuing research study (Master, Ph.D. and Postdoc) or conducting projects on image processing, medical imaging, computer-aided diagnosis, multimedia computing, pattern recognition and machine learning with us. 

Awards Information

• 2015 NPU Outstanding Youth Teacher Award (1st Prize)
• 2015 NPU Outstanding Supervisor for Graduation Design
• 2014 Awardee of the “NPU Aoxiang Youth Scholar Program”
• 2013  Awardee of the “China 1000 Youth Talents Program”
• 2010 Nomination Award of the National Excellent Doctoral Dissertation of China (To honour the best Chinese doctoral dissertations submitted between 2007 and 2009 in all disciplines)
• 2007 Chinese Computer Federation (CCF) Excellent Doctoral Dissertation Award (To honour eight best Chinese doctoral dissertations submitted between 2005 and 2007 in computer science and related disciplines)
• 2006 Scientific and Technological Awards of National Defence (3rd-tier Prize), Presented by the Committee of Science Technology and Industry for National Defence, China

Scientific Research

Selected Journal Publications

38. Zhang J, Xia Y*, Xie Y, Fulham M, and Feng D, Classification of Medical Images in Biomedical Literature by Jointly Using Deep and Visual Features, IEEE-JBHI, in press. (二区,IF=3.451)

37. Jia H, Xia* Y, Song Y, Cai W, Fulham M, and Feng D, Atlas Registration and Ensemble Deep Convolutional Neural Network-based Prostate Segmentation Using Magnetic Resonance Imaging, Neurocomputing, in press. (二区,IF=3.317)

36. Xia Y*, Li Z, VBI-MRF Model for Image Segmentation, Multimedia Tools and Applications, in press. (JCR3区,IF=1.530)

35. Xie Y, Xia Y*, Zhang J, Fulham M, and Zhang Y, Fusing Texture, Shape and Deep Model-Learned Information at Decision Level for Automated Classification of Lung Nodules on Chest CT, Information Fusion, 42:102-110, 2018. (一区,IF=5.667)

34. Li Z, Xia Y*, Ji Z, Zhang Y, Brain Voxel Classification in Magnetic Resonance Images Using Niche Differential Evolution Based Bayesian Inference of Variational Mixture of Gaussians, Neurocomputing, 269:47-57, 2017. (JCR2区,IF=3.317)

33. Ji Z*, Xia Y*, Zheng Y, Robust generative asymmetric GMM for brain MR image segmentation, CMPB, 151:123-138, 2017. (JCR2区,IF=2.503)

32. Ji Z*, Huang Y, Xia Y*, Zheng Y, A Robust Modified Gaussian Mixture Model with Rough Set for Image Segmentation, Neurocomputing, 266:500-565, 2017. (JCR2区,IF=3.317)

31. Lu S, Xia Y*, Cai W*, Feng D, Fulham M, Early Identification of Mild Cognitive Impairment Using Incomplete Random Forest-Robust Support Vector Machine and FDG-PET Imaging, CMIG, 60: 35-41, 2017. (JCR4区,IF=1.738)

30. Pan Y, Xia Y*, Zhou T, Fulham M, Cell Image Segmentation Using Bacterial Foraging Optimization, Applied Soft Computing, ASoC, 58:770-782, 2017. (JCR2区,IF=3.541)

29. Ma B, Xia Y*, A Tribe Competition-Based Genetic Algorithm for Feature Selection in Pattern Classification, ASoC, 58:328-338, 2017. (JCR2区,IF=3.541)

28. Dong P, Wang S*, Xia Y, Liang D, and Feng D, “Foreground Detection with Simultaneous Dictionary Learning and Historical Pixel Maintenance,” IEEE-TIP, 25(11):5035-5049, 2016. (JCR2区,IF=4.828)

27. Xia Y*, Ji Z*, Zhang Y, Brain MRI Image Segmentation Based on Learning Local Variational Gaussian Mixture Models, Neurocomputing, 204: 189-197, 2016. (JCR2区,IF=3.317)

26. Zheng C, Xia Y*, Pan Y, Chen J, Automated Identification of Dementia Using Medical Imaging: A Survey from a PatternClassification Perspective, Brain Informatics, 3(1):17-27, 2016.

25. Zhang F*, Song Y, Cai W*, Liu S, Liu S, Pujol S, Kikinis R, Xia Y, Fulham M, Feng D, and ADNI, Pairwise Latent Semantic Association for Similarity Computation in Medical Imaging, IEEE-TBE, 63(5): 1058-69, 2016. (JCR2区,IF=3.577)

24. Ji Z*, Xia Y*, Sun Q, Cao G and Chen Q, Active Contours Driven by Local Likelihood Image Fitting Energy for Image Segmentation, Information Sciences, 301: 285-304, 2015. (JCR1区,IF=4.832)

23. Dong P, Xia Y*, Wang S, Zhuo L, and Feng D, An Iteratively Reweighting Algorithm for Dynamic Video Summarization, Multimedia Tools and Applications, 74(21):9449-73. (JCR3区,IF=1.530)

22. Fu P, Li C, Xia Y, Ji Z, Sun Q*, Cai W, and Feng D, Adaptive noise estimation from highly textured hyperspectral images, Applied Optics, 53(30): 7059–71, 2014. (JCR3区,IF=1.650)

21. Ji Z*, Xia Y*, Sun Q, and Cao G, Interval-valued possibilistic fuzzy C-means clustering algorithm, Fuzzy Sets and Systems, 253:138-156, 2014. (JCR1区,IF=2.718)

20. Zhang T*, Xia Y, and Feng D, Hidden Markov Random Field Model Based Brain MR Image Segmentation Using Clonal Selection Algorithm and Markov Chain Monte Carlo Method, BSPC, 12:10-18, 2014. (JCR3区,IF=2.214)

19. Ji Z, Xia Y*, Sun Q, Chen Q, Xia D, Feng D, Adaptive Scale Fuzzy Local Gaussian Mixture Model for Brain MR Image Segmentation, Neurocomputing, 134: 60-69, 2014. (JCR2区,IF=3.317)

18. Zhang T, Xia Y*, and Feng D, A Clonal Selection Based Approach to Statistical Brain Voxel Classification in Magnetic Resonance Images, Neurocomputing, 134: 122-131, 2014. (JCR2区,IF=3.317)

17. Wang S*, Xia Y, Dong P, Liu Q, and Feng D, Fenchel Duality Based Dictionary Learning for Restoration of Noisy Images IEEE-TIP, 22(12):5214–25, 2013. (JCR2区,IF=4.828)

16. Wang S*, Liu Q, Xia Y, Luo J, and Feng D, Dictionary Learning Based Restoration of Magnetic Resonance Images via L1-L1 Minimization, Signal Processing, 93(9):2696–2708, 2013. (JCR2区,IF=3.110)

15. Guo Z, Zhang Y, Xia Y, Lin Z, Fan Y, and Feng D, Multi-pose 3D face recognition based on 2D sparse representation, JVCI, 24(2): 117-126, 2013. (JCR3区,IF=2.164)

14. Ji Z, Sun Q, Xia Y, Chen Q, Xia D, Feng D, Generalized rough fuzzy c-means algorithm for brain MR image segmentation, CMPB, 108(2): 644-655, 2012. (JCR2区,IF=2.503)

13. Wang S, Xia Y, Liu Q, Luo J, Zhu Y, and Feng D, Gabor feature based nonlocal means filter for textured image denoising, JVCI, 23(7): 1008-18, 2012 (JCR3区,IF=2.164)

12. Li C, Wang X, Xia Y, Eberl S, Yin Y, Feng D, Automated PET-guided liver segmentation from low-contrast CT volumes using probabilistic atlas, CMPB, 107(2): 164-174, 2012. (JCR2区,IF=2.503)

11. Ji Z, Xia Y, Chen Q, Sun Q, and Xia D, Fuzzy C-Means Clustering with Weighted Image Patch for Image Segmentation, Applied Soft Computing, 12(6): 1659-67, 2012. (JCR2区,IF=3.541)

10. Ji Z, Xia Y, Sun Q, Chen Q, Xia D, and Feng D, Fuzzy Local Gaussian Mixture Model for brain MR image segmentation, IEEE-TITB, 16(3): 339-347, 2012. (JCR2区,IF=3.451)

9. Zhang Y, Guo Z, Xia Y, Lin Z, Feng D, 2D Representation of Facial Surfaces for Multi-Pose 3D Face Recognition, Pattern Recognition Letters, 33(5): 530-536, 2012. (JCR3区,IF=1.995)

8. Xia Y, Wen L, Eberl S, Fulham M, and Feng D, Dual-modality brain PET-CT image segmentation based on adaptive use of functional and anatomical information, CMIG, 36(1): 47-53, 2012. (JCR4区,IF=1.738)

7. Tian G, Xia Y, Zhang Y, and Feng D, Hybrid Genetic and Variational Expectation Maximization Algorithm for Gaussian Mixture Model Based Brain MR Image Segmentation, IEEE-TITB, 15(3): 373-380, 2011. (JCR2区,IF=3.451)

6. Wang X, Fang C, Xia Y, Feng D, Airway Segmentation for Low-Contrast CT Images from Combined PET/CT Scanners Based on Airway Modelling and Seed Prediction, BSPC, 6(1): 48-56, 2011. (JCR3区,IF=2.214)

5. Xia Y, Feng D, Zhao R, and Zhang Y, Multifractal Signature Estimation for Textured Image Segmentation, Pattern Recognition Letters, 31(2): 163-169, 2010. (JCR3区,IF=1.995)

4. Xia Y, Feng D, Wang T, Zhao R, and Zhang Y, Image segmentation by clustering of spatial patterns, Pattern Recognition Letters, 28(12): 1548–55, 2007. (JCR3区,IF=1.995)

3. Xia Y, Feng D, Zhao R, Adaptive segmentation of textured images by using the coupled Markov random field model, IEEE-TIP, 15(11): 3559–66, 2006. (JCR2区,IF=4.828)

2. Xia Y, Feng D, Zhao R, Morphological multifractal estimation for image segmentation, IEEE-TIP, 15(3): 614–23, 2006. (JCR2区,IF=4.828)

1. Xia Y, Feng D, Zhao R, and Petrou M, Learning-based algorithm selection for image segmentation, Pattern Recognition Letters, 26(8): 1059–68, 2005. (JCR3区,IF=1.995)

Selected Conference Publications

7. Wang H, Xia Y*, Wang Z, Dictionary Learning-Based Image Compression, ICIP 2017.

6. Wei J, and Xia Y*, Multi-scale Networks for Segmentation of Brain Magnetic Resonance Images, MICCAI-DLMIA 2017. 

5. Xie Y, Xia Y*, Zhang J, Cai W, Fulham M, and Feng D, Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT, MICCAI 2017.

4. Zeng H, Xia Y*, Space Target Recognition based on Deep Learning, Fusion 2017. (Oral)

3. Jia H, Xia Y*, Cai W, Fulham M, Feng D, Prostate Segmentation in MR Images Using Ensemble Deep Convolutional Neural Networks, ISBI 2017. (Oral)

2. Xie Y, Zhang J, Liu S, Cai W, and Xia Y*, Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features, MICCAI-MCV 2016. (Oral)

1. Li N, and Xia Y*, Semi-Supervised Emotional Classification of Clolor Images By Learning From Cloud, ACII2015. 

Academic Achievements

  Member, Institute of Electrical and Electronics Engineers (IEEE)

  Member, Association for Computing Machinery (ACM)

  Member, China Computer Federation (CCF)

  Member, CCF Youth Working Committee

  Member, CCF Technical Committee on Computer Vision

  Member, China Society of Image and Graphics (CSIG)

  Standing Member, CSIG Technical Committee on Big Visual Data

  Member, CSIG Technical Committee on Imaging, Detection and Perception

  Member, Chinese Society for Stereology (CSS)

  Standing Member, CSS Technical Committee on Image Analysis

  Member, Chinese Association of Automation (CAA)

  Member, CAA Technical Committee on Hybrid Intelligence

  Lead Guest Editor, Special Issue on Machine Learning in Multimodal Medical Imaging in the BioMed Research International

  Lead Guest Editor, Special Issue on Computation Methods for Biomedical Information Analysis in the Journal of Healthcare Engineering

  Co-organizer, Special Session on High-dimensional and Deep Representation Methods for Information Fusion at Fusion 2017

  TCP Member, MICCAI 2017 Workshop on Deep Learning in Medical Image Analysis (MICCAI-DLMIA 2017)   

  TCP Member, 2017 International Conferences on Brain Informatics (BIH 2017)

  MC  Member, 2017 International Conference on Intelligence Science and Big Data Engineering (IScIDE 2017)

  TCP Member, 2017 Asia-Pacific Services Computing Conference(APSCC 2017)

  TCP Member, MICCAI 2016 Workshop on Medical Computer Vision (MICCAI-MCV2016)

  TCP Member, 2016 International Conference on Brain Informatics and Health (BIH 2016)

  TCP Member, 2016 International Conference on Orange Technologies (ICOT 2016)

  TCP Member, 2016 Asia-Pacific Services Computing Conference(APSCC 2016)

  TCP Member, MICCAI 2015 Workshop on Medical Computer Vision (MICCAI-MCV 2015)

  TCP Member, 2015 International Conference on Orange Technologies (ICOT 2015)

  TCP Member, 2014 International Conference on Orange Technologies (ICOT 2014)

  TCP Member, 2014 Asia-Pacific Services Computing Conference (APSCC 2014)

  TCP Member, 2011 International Conference on Image and Graphics (ICIG 2011)

  Session Chair, 2017 IEEE International Symposium on Biomedical Imaging (ISBI 2017)

  Session Chair, 2015 International Conference on Intelligence Science and Big Data Engineering (IScIDE 2015)

  Session Chair, The 2nd IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP 2014)

  Reviewer, Cape Peninsula University of Technology

  Reviewer, Tenovus the Cancer Charity (UK) 

  Reviewer, IEEE Transactions on Medical Imaging

  Reviewer, IEEE Transactions on Image Processing

  Reviewer, IEEE Transactions on Circuits and Systems for Video Technology

  Reviewer, IEEE Signal Processing Letters

  Reviewer, Pattern Recognition

  Reviewer, Applied Soft Computing

  Reviewer, Neurocomputing

  Reviewer, Computer Methods and Programs in Biomedicine

  Reviewer, Image and Vision Computing

  Reviewer, Journal of Visual Communication and Image Representation

  Reviewer, Multimedia Tools and Applications

  Reviewer, Pattern Recognition Letters

  Reviewer, 2018 IEEE International Symposium on Biomedical Imaging (ISBI2018) 

  Reviewer, 2017 MICCAI Workshop on Brain Tumor Segmentation (MICCAI-BraTS 2017)

  Reviewer, 2017 IEEE International Conference on Multimedia and Expo (ICME 2017)

  Reviewer, 2017 IEEE International Symposium on Biomedical Imaging (ISBI2017)

  Reviewer, 2016 IEEE International Conference on Multimedia and Expo (ICME 2016)

  Reviewer, 2016 IEEE International Symposium on Biomedical Imaging (ISBI2016)

  Reviewer, 2015 IEEE International Symposium on Biomedical Imaging (ISBI2015)

  Invited Talk: Application of Deep Learning to Medical Image Analysis, CNCC 2017, 26/10/2017

  Invited Talk: Small Medical Data Deep Learning, CCCV 2017, 13/10/2017

  Invited Talk: Application of Deep Learning to Medical Image Segmentation and Classification, CCF-AI 2017, 01/08/2017

  Invited Talk: Synergic Deep Learning for Medical Image Classification, MICS 2017,15-16/07/2016

  Invited Talk: Biomedical Image Processing, Analysis and Learning, BMIT-GRN 2017, 25-26/05/2017

  Invited Talk: Texture analysis for image-based computer-aided diagnosis, ISBI 2017 Tutorial on Biomedical Texture Analysis, Melbourne, 18/04/2017