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杨杰

教授,博士生导师

通讯地址: 电子信息学院楼群2号楼427室
电子邮件: jieyang@sjtu.edu.cn
个人主页: http://www.pami.sjtu.edu.cn

  • 个人简介

    德国汉堡大学计算机科学博士,教授(2级),博士生导师,上海交通大学图像处理与模式识别研究所所长,“模式识别与智能系统”国家重点学科负责人,已承担国家和省部级30多项科研项目(国家自然基金项目8项、国家863计划项目4项、973计划子项目3项、中法中日中韩中新国际合作项目6项、上海市重大项目1项、上海市重点项目5项)。7项成果获省部级成果奖,已授权发明专利30多项。入选教育部“跨世纪优秀人才培养计划”、上海市 “曙光优秀学者”“曙光跟踪计划”。担任3个学会的专委会主任、6个期刊编委(其中2个SCI期刊)。在国内外出版专著5部,在国内外学术期刊和会议上发表论文400多篇,其中200多篇被SCI检索,他引超过1000次。指导的2篇博士论文获全国优秀博士论文,2篇获上海市优秀博士论文,1篇获上海市优秀硕士论文。担任10多个国际会议的大会主席、组委会主席、分会议主席。在国际著名大学或会议做特邀报告超过10次。

  • 研究方向

    人工智能、医学影像分析、计算机视觉、医学大数据分析、手术导航

  • 科研项目

    1、国家自然科学基金新疆联合基金项目“面向公共安全的视频信息处理技术研究”
    2、国家自然科学基金项目“面向视频分析的类脑计算模型关键技术研究”
    3、国家自然科学基金项目国际交流项目 “大数据半监督机器学习关键方法研究及其在老人监护、交通安全、医学诊断的应用”
    4、国家自然科学基金项目 “基于图的半监督学习的快速鲁棒算法研究及其应用”
    5、国家863计划子课题 “光学复合仿生视觉关键技术及验证系统研究”
    6、国家自然科学基金国际(地区)合作与交流项目“视觉显著性和不变性特征提取的合作研究”
    7、国家自然科学基金项目(61273258)“多视频摄像头组网协同下目标检测分析的关键技术研究”
    8、科技部政府间国际科技合作项目“遥感监测、理解和生态污染预警的智能信息系统研究”
    9、国家“863”项目“结合三维模型和流形学习的视频人脸识别的新方法”
    10、国家自然科学基金项目 “复杂场景下稳健视觉跟踪算法研究”
    11、中日政府间国际合作项目 “智能机器人的脑功能开发”
    12、教育部“跨世纪优秀人才培养计划”项目“基于综合策略的智能信息处理软件平台的理论和应用研究”
    13、国家自然科学基金项目“基于数据挖掘和综合模型的脑磁共振图象分析和诊断”

  • 代表性论文专著

    1. Yang Jie “Prioritized Justification-based Nonmonotonic Logic and its Applications" 德国 Verlag Shaker出版社,1994, ISBN 3-8265-0120-9.

    2. Chen Nianyi, Lu Wencong, Yang Jie. Support Vector Machine in Chemistry. World Scientific Publishing出版社, Singapore, 2004, ISBN 981-238-922-9.

    3. 杨杰 姚莉秀 《数据挖掘算法及其应用》,2011年1月由上海交通大学出版社出版,获国家科学技术著作出版基金资助。

    4. 杨杰 张翔 《视频目标检测和跟踪及其应用》,2012年8月由上海交通大学出版社出版,获国家科学技术著作出版基金资助。


    5. 杨杰 乔宇 《医学影像分析和三维重建及其应用》,2014年12月由上海交通大学出版社出版

    6. 杨杰 黄晓霖 高岳 乔宇 屠恩美 《人工智能导论》,2019年机械工业出版社出版,已签订出版合同,目前排版印刷中


    发表的部分高水平期刊论文(*为通讯作者)
    1.Fanghui Liu, Xiaoling Huang,Chen Gong, Jie Yang*,Johan Sukens, Indefinite Kernel Logistic Regression with Concave-inexact-convex Procedure, IEEE Transactions on Neural Networks and Learning Systems, 卷: 30 期: 3 页: 765-776 出版年: MAR 2019

    2.Yulei Qin ; Juan Wen ; Hao Zheng ; Xiaolin Huang ; Jie Yang* ; Lingqian Wu ; Ning Song ; Yue-Min Zhu ; Guang-Zhong Yang , Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks,IEEE TRANSACTIONS ON MEDICAL IMAGING, DOI: 10.1109/TMI.2019.2905841

    3.Yun Gu, Khushi Vyas, Jie Yang*, Guang-Zhong Yang*, Transfer Recurrent Feature Learning for Endomicroscopy Image Recognition,IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 38, NO. 3, 791-801,MARCH 2019.

    4.Liu Wei; Embedding Bilateral Filter in Least Squares for Efficient Edge-preserving Image Smoothing;
    Accepted by IEEE Transactions on Circuits and Systems for Video Technology

    5.Qin, Yulei; Zheng, Hao; Huang, Xiaolin; Yang Jie*, Pulmonary nodule segmentation with CT sample synthesis using adversarial networks, MEDICAL PHYSICS 卷: 46 期: 3 页: 1218-1229 出版年: MAR 2019

    6.Fanghui Liu, Chen Gong, Xiaoling Huang,Tao Zhou, Jie Yang*, Dachen Tao, Robust Visual Tracking Revisited: From Correlation Filter to Template Matching, IEEE Transactions on Image Processing, 卷: 27 期: 6 页: 2777-2790 出版年: JUN 2018

    7.Chen Gong, Tongliang Liu, Yuanyan Tang, Dacheng Tao, Jian Yang, Jie Yang. A Regularization Approach for Instance-based Superset Label Learning, IEEE TRANSACTIONS ON CYBERNETICS. 48(3):967-978,Mar. 2018.

    8.Liu, Fanghui; Thou, Tao; Gong, Chen; Fu Keren,Bai Li, YANG Jie*;Inverse Nonnegative Local Coordinate Factorization for Visual Tracking;IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY; 28(8): 1752-1764, AUG 2018

    9.Zhou, Lei; Zhao, Yu; Yang, Jie*; Deep multiple instance learning for automatic detection of diabetic retinopathy in retinal images; IET IMAGE PROCESSING;12(4): 563-571,APR 2018 市科委

    10.Gong Chen; Tao Dacheng; Liu Wei; Liu Liu; Yang Jie*, Label Propagation via Teaching-to-Learn and Learning-to-Teach,IEEE Transactions on Neural Networks and Learning Systems. 28(6):1452-1465,Jun 2017. N15(1),973

    11.Jin, Qiyu; Miyashita, Osamu; Tama, Florence; Yang, J . Poisson image denoising by piecewise principal component analysis and its application in single-particle X-ray diffraction imaging
    IET IMAGE PROCESSING 卷: 12 期: 12 页: 2264-2274 出版年: DEC 2018

    12.Kasabov, Nikola, Lei Zhou*, Maryam G. Doborjeh*, Zohreh Gholami, Jie Yang, New Algorithms for Encoding, Learning and Classification of fMRI Data in a Spiking Neural Network Architecture: A Case on Modelling and Understanding of Dynamic Cognitive Processes, IEEE Transactions on Cognitive and Developmental Systems, 卷: 9 期: 4 页: 293-303, DEC 2017

    13.Fanghui Liu, Chen Gong, Tao Zhou, Keren Fu, Xiangjian He and Jie Yang*, Visual Tracking via Nonnegative Multiple Coding, IEEE TRANSACTIONS ON MULTIMEDIA. 19(12): 2680-2691, DEC 2017.

    14.Chenjie Ge, Nikola Kasabov, Jie Yang. A spiking neural network model for obstacle avoidance in simulated prosthetic vision , Information Science. Volume 399, August 2017, Pages 30-42.

    15.Keren Fu, Irene Yu-Hua Gu, Jie Yang*. Saliency Detection by Fully Learning A Continuous Conditional Random Field, IEEE TRANSACTIONS ON MULTIMEDIA. 19(7):1531-1544,JUL 2017.

    16.Tu, Enmei, Nikola Kasabov, Jie Yang*. "Mapping Temporal Variables Into the NeuCube for Improved Pattern Recognition, Predictive Modeling,and Understanding of Stream Data" IEEE transactions on neural networks and learning systems,28(6):1305-1317,Jun 2017.

    17.Wei Liu,Jie * ; Robust Color Guided Depth Map Restoration,IEEE Transactions on Image Processing (TIP), v 26, n 1, p 315-326, January 2017.

    18.Wei Liu ; Xiaogang Chen ; Jie Yang* ; Qiang Wu. Variable Bandwidth Weighting for Texture Copy Artifacts Suppression in Guided Depth Upsampling, IEEE Transactions on Circuits and Systems for Video Technology, 27(10):2072-2085,OCTOBER 2017.

    19.Zhang Tao, Jia Wenjing, He Xiangjian, Yang Jie. Discriminative Dictionary Learning With Motion Weber Local Descriptor for Violence Detection . IEEE Transactions on Circuits and Systems for Video Technology,27(3): 696-709, Mar. 2017

    20.Tao Zhou, Harish Bhaskar, Fanghui Liu and Jie Yang*. Graph Regularized and Locality-constrained Coding for Robust Visual Tracking. IEEE Transactions on Circuits and Systems for Video Technology,27(10):2153-2164,OCTOBER 2017 N12,973

    21.Pengpeng Zhang; Yu Qiao; Shengzheng Wang,Jie Yang*, Yuemin Zhu, A robust coherent point drift approach based on rotation invariant shape context, Neurocomputing, vol. 219,pp:455-473, Jan. 2017.

    22.Enmei Tu, Yaqian Zhang, Lin Zhu, Jie Yang, Nikola Kasabov. "A Graph-Based Semi-Supervised k Nearest-Neighbor Method for Nonlinear Manifold Distributed Data Classification", Information Sciences,v 367-368, p 673-688, November 1, 2016

    23.Chen Gong, Dacheng Tao, Stephen J. Maybank, Wei Liu, Guoliang Kang, Jie Yang. Multi-modal curriculum learning for semi-supervised image classification. IEEE Transactions on Image Processing (TIP), v 25, n 7, p 3249-3260, July 2016.

    24.Wang, Shengzheng; Tao, Dacheng; Yang, Jie, Relative Attribute SVM plus Learning for Age Estimation ,IEEE TRANSACTIONS ON CYBERNETICS;46(3): 827-839, MAR 2016.

    25.Zhang, Tao; Jia, Wenjing; Zhu, Yuemin; Yang Jie, Automatic tracking of neural stem cells in sequential digital images, BIOCYBERNETICS AND BIOMEDICAL ENGINEERING, 36(1): 66-75, 2016.

    26.Keren Fu, Chen Gong, Irene Yu-Hua Gu, Jie Yang*, Normalized Cut-Based Saliency Detection by Adaptive Multi-Level Region Merging,IEEE Transactions on Image Processing, 24(12):5671-5683,2015

    27.Gong, Chen; Tao, Dacheng; Liu, Tongliang; Fu, Keren; Tu, Enmei; Yang, Jie*, Deformed Graph Laplacian for Semi-supervised Learning, IEEE Transactions on Neural Networks and Learning Systems,v 26, n 10, p 2261-2274, October 1, 2015.

    28.Gong, Chen; Tao, Dacheng; Fu, Keren; Yang, Jie*, FLAP: Fick’s Law Assisted Propagation for Semi-Supervised Learning, IEEE Transactions on Neural Networks and Learning Systems,v 26, n 9, p 2148-2162, September 1, 2015.

    29.Yipeng Song, Jie Yang, Lei Zhou, Yuemin Zhu. Electric Field Based Transfer Functions for Volume Visualization, Journal of Medical and Biological Engineering. 35:270-277,2015.

    30.Song, Yipeng ; Yang, Jie; Qiao, Yu; Zhu, Yuemin, Volume visualization based on the intensity and SUSAN transfer function spaces, Biomedical Signal Processing and Control, v 18, n 1, p 110-117, 2015.

    31.Chen, Xiaogang; Kang, Sing Bing; Yang, Jie*; Fast Edge-Aware Denoising by Approximated Patch Geodesic Paths ,IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 卷: 25 期: 6 页: 897-909 出版年: JUN 2015

    32.Zhou, Tao; He, Xiangjian; Xie, Kai; Fu, Keren; Zhang, Junhao; Yang, Jie, Robust visual tracking via efficient manifold ranking with low-dimensional compressive features, Pattern Recognition, v 48, n 8, p 2459-2473, August 1, 2015

    33.Zheng, ZL; Yu, MD; Jia, J ; Liu, HW; Xiang, DH ; Huang, XQ ; Yang, J , Fisher discrimination based low rank matrix recovery for face recognition, PATTERN RECOGNITION, 47(11): 3502-3511,2014

    34.Lei Zhou, Yu Qiao, Yijun Li, Xiangjian He and Jie Yang: Interactive Segmentation Based on Iterative Learning for Multiple-Feature Fusion. Neurocomputing volume 135, pages 240-252, 2014

    35.Lei Zhou, Keren Fu, Yijun Li, Yu Qiao, Xiangjian He and Jie Yang: Bayesian Salient Object Detection Based on Saliency Driven Clustering. Signal Processing: Image Communication volume 29(3), pages 434-447, 2014.

    36.Tianhao Zhang, Kaiqi Huang, Xuelong Li, Jie Yang, Dacheng Tao (2010), Discriminative Orthogonal Neighborhood Preserving Projections for Classification, IEEE Transactions on Systems, Man and Cybernetics, Part B, IEEE, 40(1), 253-263, 2010.

    37.Tianhao Zhang, Dacheng Tao, Xuelong Li and Jie Yang. (2009) Patch Alignment for Dimension Reduction, IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE, 21(9), 1299-1313, 2009.

    发表的部分高水平会议论文(*为通讯作者)
    1.Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang*, Li Li ,Nonlinear Pairwise Layer and Its Training for Kernel Learning,AAAI2018 N15(1) N15sweden(2) 973

    2.Hao Zheng, Yun Gu, Yulei Qin, Xiaolin Huang, Jie Yang, Guang-Zhong Yang; Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection; MICCAI2018,Granada,Spain,2018 市科委 973

    3.Yun Gu; Khushi Vyas; Jie Yang; Guang-Zhong Yang; Weakly Supervised Representation Learning for Endomicroscopy Image Analysis,MICCAI2018,Granada, Spain,2018 市科委 973

    4.Gu, Yun; Hu, Yang; Zhang, Lin; Yang Jie*; Yang Guangzhong; Cross-Scene Suture Thread Parsing for Robot Assisted Anastomosis based on Joint Feature Learning
    25th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , Madrid, SPAIN, OCT 01-05, 2018

    5.Fanghui Liu, Xiaolin Huang and Jie Yang, Indefinite Kernel Logistic Regression, ACM Multimedia 2017. USA N15 N15sweden 863

    6.Yun Gu, Khushi Vyas,Jie Yang*,Guangzhong Yang,Unsupervised Feature Learning for Endomicroscopy Image Retrieval, MICAAI2017 N15

    7.Chen Gong, Dacheng Tao, Jie Yang. Teaching-to-Learn and Learning-to-Teach for Multi-label Propagation, AAAI Conference on Artificial Intelligence, 2016. N15 973
    8.Yun Gu, Chao Ma, Jie Yang, Supervised Recurrent Hashing for Large Scale Video Retrieval, ACM Multimedia, 2016. N15 973

    9.Yun Gu, Guang-Zhong Yang, Jie Yang, Multi-View Multi-Model Embedding for Endomicroscopy Mosaics Classification, IEEE CVPR Workshop on Computer Vision for Microscopy Image Analysis, 2016.

    10.Chen Gong, Dacheng Tao , Wei Liu, Stephen Maybank, Meng Fang, Keren Fu, Jie Yang, Teaching-to-Learn and Learning-to-Teach Saliency, 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2015).

    11.Liu F, Zhou T, Yang J, et al. Visual Tracking via Nonnegative Regularization Multiple Locality Coding[C]//Proceedings of the IEEE International Conference on Computer Vision Workshops. 2015: 72-80.

    12.Fanghui Liu ,Tao Zhou, Irene Y.H. Gu , Jie Yang;Visual Tracking via Nonnegative Regularization Multiple Locality Coding, ICCV2015 workshop, 2015

    13.Ying Wan, Xiongbiao Luo, Xiangjian He, Jie Yang et al. (2014), Diversity-Enhanced Condensation Algorithm and Its Application for Robust and Accurate Endoscope Electromagnetic Tracking, 27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2014).

    14.Gong, Chen ; Tao, Dacheng; Yang, Jie; Fu, Keren, Signed Laplacian embedding for supervised dimension reduction, Proceedings of the National Conference on Artificial Intelligence (AAAI2014), v 3, p 1847-1853, 2014

    15.Gong, Chen ; Tao, Dacheng; Fu, Keren; Yang, Jie, ReLISH: Reliable Label Inference via Smoothness Hypothesis , Proceedings of the National Conference on Artificial Intelligence (AAAI2014), v 3, p 1840-1846, 2014

    16. Fu, Keren; Gong, Chen; Yun, Yixiao; Li, Yijun; Gu, Irene Yu-Hua; Yang, Jie; Yu, Jingyi, Adaptive multi-level region merging for salient object detection, BMVC 2014 - Proceedings of the British Machine Vision Conference 2014, 2014.

    17. Tao Zhou, Xiangjian He, Kai Xie, Keren Fu, Junhao Zhang, Jie Yang, Visual tracking via graph-based efficient manifold ranking with low-dimensional compressive features, ICME2014.

    18. Keren Fu, Chen Gong, Irene Yu-Hua Gu, Jie Yang, Spectral Salient Object Detection, ICME2014.

    19.Xiaogang Chen, Sing Bing Kang, Jie Yang, Jingyi Yu (2013), Fast Patch-based Denoising Using Approximated Patch Geodesic Paths, IEEE 2013 Computer Vision and Pattern Recognition (CVPR2013).

    20. Xiaogang Chen, Feng Li, Jie Yang, and Jingyi Yu (2012), A theoretical analysis of camera response functions in image deblurring, Computer Vision, ECCV 2012, LNCS, Vol.7578 LNCS, Part 7, 333-346, 2012.

    21.Keren Fu, Jie Yang, Yue Zhou (2012), Salient Object Detection via Color Contrast and Color Distribution, The 11th Asian Conference on Computer Vision (ACCV2012), 2012.

友情链接
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医疗机器人研究院