夏勇


的个人主页 http://jszy.nwpu.edu.cn/yongxia

  被浏览次数:10892

基本信息 The basic information

夏勇

计算机学院

博士研究生毕业

工学博士

教授

计算机科学与技术

yxia@nwpu.edu.cn

029-88491533

工作经历 Work Experience

·         201312月–今

教授

西北工业大学计算机学院

·         20071–1312

博士后

悉尼大学信息技术学院BMIT实验室

·         200411月–061

访问研修

悉尼大学信息技术学院

·         20035月–11

访问研修

香港理工大学电子资讯工程系

教育经历 Education Experience

·2003年-2007年:博士 (计算机科学与技术专业)

           毕业院系:西北工业大学计算机学院

·2001年-2004年:工学硕士(计算机应用技术专业)

           毕业院系:西北工业大学计算机学院

·1997年-2001年:工学学士(计算机及其应用专业)

           毕业院系:西北工业大学实验班/计算机学院 

招生信息 Admission Information

诚挚招收医学影像分析、计算机辅助诊断、图像处理、多媒体、模式识别和机器学习等相关研究方向的硕士、博士和博士后,将为各位青年学子提供一流的软硬件科研环境,热烈而开放的学术氛围,和与国内外一流科研团队交流与合作的机会,包括但不限于:

  澳大利亚悉尼大学

  澳大利亚悉尼科技大学

  澳大利亚阿德莱德大学

  澳大利亚维多利亚大学

  美国北卡罗来纳大学

  美国艾莫里大学

  英国伦敦大学

  英国阿伯里斯特维斯大学

  比利时布鲁塞尔自由大学

  中国科学院深圳先进技术研究院 

荣誉获奖 Awards Information

2017年 西北工业大学优秀本科毕业生指导教师

2016年 西北工业大学优秀本科毕业生指导教师

2015年 西北工业大学优秀青年教师奖(吴亚军奖)一等奖

2015年 西北工业大学优秀本科毕业生指导教师

2014年 入选西北工业大学“翱翔青年学者”

2013年 入选中组部第五批"青年千人"计划

2010年 中国优秀博士学位论文提名奖

2010年 陕西省优秀博士学位论文奖

2007年 中国计算机学会优秀博士论文奖

2006年 国防科工委“国防科学技术奖”三等奖

2001年 全美大学生数学建模竞赛(ICM)一等奖

2000年 全国大学生数学建模竞赛(CSIAM)一等奖 

学术成果 Academic Achievements

部分期刊论文

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. (JCR2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. (JCR2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. (JCR1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)

部分会议论文

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. 

社会兼职 Social Appointments

  国际电气电子工程师学会(IEEE)会员(2006年-今)

  美国计算机协会(ACM)会员(2014年-今)

  中国计算机学会(CCF)青工委委员(2016年-今)

  中国计算机学会(CCF) 计算机视觉专委会委员(2017年-今) 

  中国自动化学会(CAA)混合智能专委会委员(2017年-今) 

  中国图象图形学学会(CSIG)视觉大数据专委会常委(2017年-今)、

  中国图象图形学学会(CSIG) 成像探测与感知专委会委员(2017年-今)

  中国体视学学会(CSS)图像分析分会常委(2017年-今) 

  陕西省图象图形学学会理事(2015年-今)

  陕西省抗癌协会肿瘤影像专业委员会青年委员会常委、智慧医疗组指导委员会主任委员 

  陕西省外专局引智专家咨询委员会委员(2014.06.25-2019.06.24)

  山东省医学物理图像处理技术重点实验室学术委员会委员(2015年-今)

  西北工业大学卓研班导师(2014.05-2016.05) 

学术活动 Professional Activities

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

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

博士论文评阅人:南非Cape Peninsula 科技大学

科研项目评审:英国Tenovus the Cancer Charity基金会 

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)


担任以下国内外学术期刊和会议审稿人

IEEE Transactions on Medical Imaging

IEEE Transactions on Image Processing

IEEE Transactions on Circuits and Systems for Video Technology

IEEE Signal Processing Letters

Pattern Recognition

Applied Soft Computing

Neurocomputing

Image and Vision Computing

Journal of Visual Communication and Image Representation

Multimedia Tools and Applications

Pattern Recognition Letters

Computer Methods and Programs in Biomedicine

2018 IEEE International Symposium on Biomedical Imaging (ISBI2018) 

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

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

2017 IEEE International Symposium on Biomedical Imaging (ISBI2017)

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

2016 IEEE International Symposium on Biomedical Imaging (ISBI2016)

2015 IEEE International Symposium on Biomedical Imaging (ISBI2015)


部分学术报告

深度卷积神经网络在医学图像分析中的应用(国家自然科学基金委《深度学习算法及其应用》天元讲习班,浙江大学,3/11/2017) 

面向医学影像分析的深度学习技术(中国计算机大会(CNCC2017)深度学习与医学影像论坛,福州,26/10/2017)

医学影像分析中的深度学习实践 (2017中国计算机视觉大会(CCCV 2017)医学影像分析论坛,天津,13/10/2017) 

深度学习在医学影像分析中的应用(2017图像计算与数字医学国际研讨会-深度学习讲习班,电子科技大学,25/09/2017)

医学影像分析中的深度学习实践(2017中国生物医学工程学会北戴河青年论坛,东北大学秦皇岛分校,06-07/08/2017)

深度学习在医学图像分割与分类中的应用(2017中国计算机学会人工智能会议医疗人工智能论坛,昆明,01/08/2017) 

Synergic Deep Learning for Medical Image Classification (第四届医学图像计算青年研讨会,上海交通大学,15-16/07/2016)

面向医学影像分析的小数据深度学习(2017 CMCC International Workshop on Multidisciplinary Convergence Computing: Medical Imaging, VR/AR and Big Data, 西北工业大学,22/05/2017)

Biomedical Image Processing, Analysis and Learning (2017 Biomedical & Multimedia Information Technology - Global Research Network (BMIT-GRN) Workshop, 上海交通大学, 25-26/05/2017)

基于深度学习医学影像分析(2017 CSIG成像探测与感知专委会成立大会暨第一届成像探测与感知前沿大会,西北工业大学, 21/05/2017)

深度学习在医学影像分析中的应用与挑战(中华医学会第七次全国数字医学学术年会,西安,29/04/2017)

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

当人工智能碰撞医学影像分析(NVIDIA 2017  高性能计算碰撞人工智能巡展 – 西安站,西安,14/04/2017)

小样本图像分割技术(电子信息青年学者论坛,西安电子科技大学,13/11/2016)

深度学习在医学影像分析中的应用与挑战(“大数据的类脑计算与深度学习”国际研讨会,西安电子科技大学,16/10/2016)

深度学习在医学影像分析中的应用(青年千人计划生物医药组2016年研讨会,第四军医大学,30/06/2016)

医学影像与深度学习(中国科学院深圳先进技术研究院医工所,19/05/2016)

深度学习在医学影像分析中的应用与挑战(CCF YOCSEF广州“医学数据处理前沿发展与挑战”学术论坛,华南理工大学,17/05/2016)

基于多标记学习的中医诊疗数据分析(中国科协第294次青年科学家论坛--中医药大数据的辨证模型构建研究,中国中医科学院,09/11/2015)

面向智能化医疗的医学影像分析技术(第六届CCF优秀博士学位论文获奖者论坛,中山大学,08/08/2015)

智能医学图像处理(“肿瘤图像大数据”学术研讨会,山东师范大学,28/05/2015)

面向智能化医疗的中医现代化研究(CCF YOCSEF 西安 “千人”论坛,西北工业大学,20/10/2014)

Variational Bayesian Methods for Medical Image Segmentation(澳大利亚信息通信技术研究中心( NICTA)机器学习实验室,3/10/2013)