Yong Xia


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

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The basic information

Yong Xia

School of Computer Science

Postgraduate

Doctor

Professor

Vice Dean

yxia@nwpu.edu.cn

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

# Jianpeng Zhang#, Yutong Xie#, Yan Wang, and Yong Xia*, "Inter-slice Context Residual Learning for 3D Medical Image Segmentation", IEEE-TMI, under major revision. (IF=7.816)

# Yutong Xie#, Jianpeng Zhang#, Hao Lu, Chunhua Shen, Yong Xia*, "SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors", IEEE-TMI, under major revision. (IF=7.816)

# Hongyu Wang, Shanshan Wang, Zibo Qin, Ruijiang Li, Yanning Zhang, and Yong Xia*, "Triple Attention Learning for Classification of 14 Thoracic Diseases Using Chest Radiography," Medical Image Analysis, under major revision. (IF=8.880) 

# Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia*, and Dinggang Shen*, "Spatially-Constrained Fisher Representation for Brain Disease Identification with Incomplete Multi-Modal Neuroimages", IEEE-TMI, 2020. (IF=7.816) https://doi.org/10.1109/TMI.2020.2983085

# Yicheng Wu, Yong Xia*, Yang Song, Yanning Zhang, and Weidong Cai, "NFN+: A Novel Network Followed Network for Retinal Vessel Segmentation," Neural Network, 2020. (IF=5.785) https://doi.org/10.1016/j.neunet.2020.02.018 

# Yutong Xie, Jianpeng Zhang, Yong Xia*, and Chunhua Shen, "A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification," IEEE-TMI, 2020. (IF=7.816) https://doi.org/10.1109/TMI.2020.2972964

# Benteng Ma, Xiang Li, and Yong Xia*, "Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification," Neurocomputing, 2020. (IF=4.072) https://doi.org/10.1016/j.neucom.2019.10.007 

# Hongyu Wang, Haozhe Jia, Le Lu, and Yong Xia*, "Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography," IEEE-JBHI, 2020. (IF=7.816) https://doi.org/10.1109/JBHI.2019.2928369 

# Haozhe Jia, Yong Xia*, Yang Song, Donghao Zhang, Heng Huang, Yanning Zhang, and Weidong Cai, "3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images," IEEE-TMI, 2020. (IF=7.816) https://doi.org/10.1109/TMI.2019.2928056 

# Yutong Xie, Jianpeng Zhang, and Yong Xia*, "Semi-supervised adversarial model for benign–malignant lung nodule classification on chest CT," Medical Image Analysis, 2019. (IF=8.880) https://doi.org/10.1016/j.media.2019.07.004 

# Yongsheng Pan, Yong Xia*, and Dinggang Shen*, "Foreground Fisher Vector: Encoding Class-Relevant Foreground to Improve Image Classification," IEEE-TIP, 2019. (IF=6.790) https://doi.org/10.1109/TIP.2019.2908795 (Source Code: https://github.com/YongshengPan/foreground-fisher-vector)

# Jianpeng Zhang, Yutong Xie, Yong Xia*, and Chunhua Shen, "Attention Residual Learning for Skin Lesion Classification," IEEE-TMI, 2019. (IF=7.816) https://doi.org/10.1109/TMI.2019.2893944 

# Jianpeng Zhang, Yutong Xie, Qi Wu, and Yong Xia*, "Medical image classification using synergic deep learning," Medical Image Analysis, 2019. (IF=8.880) https://doi.org/10.1016/j.media.2019.02.010 

# Yutong Xie, Yong Xia*, Jinapeng Zhang, Yang Song, Dagan Feng, Michael Fulham, and Weidong Cai, "Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT," IEEE-TMI, 2019. (IF=7.816) https://doi.org/10.1109/TMI.2018.2876510 (Source Code: https://github.com/YtongXie/MVKBC-model-for-lung-nodule-classification)

# Jie Wei, and Yong Xia*, "M3Net: A multi-model, multi-size, and multi-view deep neural network for brain magnetic resonance image segmentation," Pattern Recognition, 2019. (IF=5.898) https://doi.org/10.1016/j.patcog.2019.03.004 

# Ya Gao#, Qinfen Wang#, Jiamei Li, Jingjing Zhang, Ruohan Li, Lun Sun, Qi Guo, Yong Xia*, Bangjiang Fang, and Gang Wang*, "Impact of Mean Arterial Pressure Fluctuation on Mortality in Critically Ill Patients," Critical Care Medicine, 2018. (IF=6.971)

# Jianpeng Zhang, Yong Xia*, Yutong Xie, Michael Fulham, and David Dagan Feng, "Classification of medical images in the biomedical literature by jointly using deep and handcrafted visual features," IEEE-JBHI, 2018. (IF=7.816)

# Yutong Xie, Yong Xia*, Jianpeng Zhang, Michael Fulham, and Yanning Zhang, "Fusing Texture, Shape and Deep Model-Learned Information at Decision Level for Automated Classification of Lung Nodules on Chest CT," Information Fusion, 2018. (IF=10.716)

# Junjie Zhang, Yong Xia*, Hengfei Cui, and Yanning Zhang, "Pulmonary nodule detection in medical images: A survey, " Biomedical Signal Processing and Control, 2018. (IF=2.943)

# Benteng Ma and Yong Xia*, "A Tribe Competition-Based Genetic Algorithm for Feature Selection in Pattern Classification," Applied Soft Computing, 2017. (IF=4.873)

# Yongsheng Pan, Yong Xia*, Tao Zhou, and Michael Fulham, "Cell Image Segmentation Using Bacterial Foraging Optimization," Applied Soft Computing, 2017. (IF=4.873)

# Shen Lu, Yong Xia*, Weidong Cai*, David Dagan Feng, and Michael Fulham, "Early Identification of Mild Cognitive Impairment Using Incomplete Random Forest-Robust Support Vector Machine and FDG-PET Imaging," Computerized Medical Imaging and Graphics, 2017. (IF=3.298)

# Chuanchuan Zheng, Yong Xia*, Yongsheng Pan, and Jinhu Chen*, "Automated Identification of Dementia Using Medical Imaging: A Survey from a Pattern Classification Perspective," Brain Informatics, 2016.

Selected Conference Publications

# Jianpeng Zhang, Yutong Xie, Yong Xia*, and Chunhua Shen, "Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation," IJCAI 2019.

# Yutong Xie, Hao Lu, Jianpeng Zhang, Chunhua Shen, and Yong Xia*, "Deep Segmentation-Emendation Model for Gland Instance Segmentation," MICCAI 2019.

# Haozhe Jia, Yang Song, Heng Huang, Weidong Cai, and Yong Xia*, "HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images," MICCAI 2019.

# YiCheng Wu, Yong Xia*, Yang Song, Donghao Zhang, Dongnan Liu, Chaoyi Zhang, and Weidong Cai, "Vessel-Net: Retinal Vessel Segmentation under Multi-path Supervision," MICCAI 2019.

# Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia*, and Dinggang Shen*, "Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-Modal Neuroimages," MICCAI 2019.

# Yongsheng Pan, Mingxia Liu, Yong Xia*, and Dinggang Shen, "Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis," MICCAI 2019 Workshop on GLMI.

# Feng Zhang, Yutong Xia, Yong Xia*, and Yanning Zhang, "A Pulmonary Nodule Detection Method Based on Residual Learning and Dense Connection," MICCAI 2019 Workshop on DART 2019.

# Guojing Zhao, Jianpeng Zhang, and Yong Xia*, "Improving Brain Tumor Segmentation in Multi-sequence MR Images Using Cross-sequence MR Image Generation," MICCAI 2019 Workshop on BrainLes.

# Yongsheng Pan, Mingxia Liu, Yong Xia*, and Dinggang Shen*, "Neighborhood-correction algorithm for classification of normal and malignant cells," ISBI 2019 Challenge on C-NMC.

# Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Tao Zhou, Yong Xia*, and Dinggang Shen, "Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis," MICCAI 2018.

# Jianpeng Zhang, Yutong Xie, Qi Wu, and Yong Xia*, "Skin Lesion Classification in Dermoscopy Images Using Synergic Deep Learning," MICCAI 2018.

# Yicheng Wu, Yong Xia*, Yang Song, Yanning Zhang, and Weidong Cai, "Multiscale Network Followed Network Model for Retinal Vessel Segmentation," MICCAI 2018.

# Donghao Zhang*, Yang Song, Dongnan Liu, Haozhe Jia, Siqi Liu, Yong Xia, and Weidong Cai, "Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis," MICCAI 2018.

# Yan Hu, Xiang Liu, Xin Wen, Chen Niu, and Yong Xia*, "Brain Tumor Segmentation on Multimodal MRI Using Multi-Level Upsampling in Decoder," MICCAI 2018 Workshop on Brainlesion.

# Shen Lu*, Yong Xia, Weidong Cai, Dagan Feng, and Michael Fulham, "Cross-Cohort Dementia Identification Using Transfer Learning With FDG-PET Imaging," ISBI 2018.

# Yutong Xie, Yong Xia*, Jianpeng Zhang, Weidong Cai, Michael Fulham and David Dagan Feng, "Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT," MICCAI 2017.

# Jie Wei and Yong Xia*, "Multi-scale Networks for Segmentation of Brain Magnetic Resonance Images," MICCAI 2017 Workshop on DLMIA.

# Yan Hu, and Yong Xia*, "3D Deep Neural Network-Based Brain Tumor Segmentation Using Multimodality Magnetic Resonance Sequences," MICCAI 2017 Workshop on Brainlesion.

# Hao Wang, Yong Xia*, and Zhiyong Wang, "Dictionary Learning-Based Image Compression," ICIP 2017.

# Haozhe Jia, Yong Xia*, Weidong Cai, Michael Fulham, and David Dagan Feng, "Prostate Segmentation in MR Images Using Ensemble Deep Convolutional Neural Networks," ISBI 2017.

# Yutong Xie, Jianpeng Zhang, Sidong Liu, Weidong Cai, and Yong Xia*, "Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features," MICCAI 2016 Workshop on Medical Computer Vision (MCV).

# Na Li and Yong Xia*, "Semi-Supervised Emotional Classification of Clolor Images By Learning From Cloud," ACII 2015.

Academic Achievements

Academic Membership

  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

Academic Service

 Reviewer, National Science and Technology Award of China (2018)

Reviewer, National Key R&D Program of China (2018)

 Chair, VALSE2020 Workshop on Medical Image Analysis

 Co-Chair, PRCV2020 Workshop on Medical Image Analysis

 Area Chair, The 3rd Chinese Conference on Pattern Recognition and Computer Vision (PRCV2020)

 Area Chair, The 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019)

 Chair, VALSE 2019 Workshop on Medical Image Analysis

 Area Chair, The 2nd Chinese Conference on Pattern Recognition and Computer Vision (PRCV2019)

 Organizing Chair, 2018 Chinese Conference on Multimedia (ChinaMM2018) 

 Chair, PRCV2018 Workshop on Medical Image Analysis

 Special Issue Chair, 2018 International Conference on Intelligence Science and Big Data Engineering (IScIDE 2018) 

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

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

 Program Chair, 2017 International Workshop on Multidisciplinary Convergence Computing (IW-MCC 2017) 

 Program Chair, 2017 International Workshop on Biomedical Multimedia Computing (BMC 2017)

 Program Chair, 2016 International Workshop on Biomedical Multimedia Computing (BMC 2016)

 Program Chair, 2016 International Workshop on Multidisciplinary Convergence Computing (IW-MCC 2016)

 Program Chair, 2015 International Workshop on Biomedical Multimedia Computing (BMC 2015)

 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) 

 TCP Member, MICCAI 2020 Workshop on Domain Adaptation and Representation Transfer (DART)

 TCP Member, MICCAI 2019 Workshop on Domain Adaptation and Representation Transfer (DART)

 TCP Member, The 16th International Symposium on Neural Networks (ISNN 2019)

 PC Member, The 9th Pacific-Rim Symposium on Image and Video Technology (PSIVT2019) 

 TCP Member, 2018 Conference Digital Image Computing: Techniques and Applications (DICTA 2018)

 TCP Member, 2018 International Conference on Brain Informatics (BI 2018) 

 TCP Member, 2018 ACM International Conference on Multimedia (ACM MM 2018) 

 TCP Member, 2018 International Conferences on Brain Informatics (BIH 2018) 

 TCP Member, MICCAI 2018 Workshop on Deep Learning in Medical Image Analysis (MICCAI-DLMIA 2018) 

 TCP Member, MICCAI 2018 Workshop on Breast Image Analysis (MICCAI-BIA 2018) 

 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)

Invited Talks

  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