谢源 教授、博士生导师
计算机科学与技术学院??????


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个人资料
研究方向
开授课程
科研项目
学术成果
荣誉及奖励







个人资料
部门： 计算机科学与技术学院
毕业院校： 中国科学院大学
学位： 博士
学历： 博士研究生
邮编： 200062
联系电话： +86-
传真：
电子邮箱： yxie@cs.ecnu.edu.cn
办公地址： 理科大楼B1012A室
通讯地址： 上海市普陀区中山北路3663号华东师范大学计算机科学与软件工程学院，邮编200062

教育经历

工作经历

个人简介
谢源，现任华东师范大学计算机科学与技术学院教授。于2010年和2013年分别获得厦门大学计算机系和中国科学院自动化所工学硕士和博士学位。2014年获国家人社部和博管会的资助，授予“香江****”的称号，赴香港理工大学计算机系从事两年的博士后研究工作。历任中国科学院自动化研究所助理研究员（2013）和副研究员（2016）。
主要研究方向为计算机视觉和机器学习，包含基于深度学习的低层视觉、深度网络压缩及多视图学习、迁移学习等。近年来主持承担了军委科技委创新特区、人社部香江****计划、国家自然科学基金、北京市自然科学基金等7项科研课题的研究。在国际顶级和权威会议，IJCV、TPAMI、TIP、TNNLS、TKDE、TCYB、TGRS、TCSVT、TMM、PR、PRL、NIPS、CVPR、ECCV、AAAI、ACM MM等，发表论文53篇，包括IEEE Trans论文18篇，JCR 1区或CCF A类论文29篇，其中以第一作者或通讯作者身份接收和发表论文27篇，包括ESI高被引论文2篇，ESI热点论文1篇。受邀担任国际期刊International Journal of Image and Graphics编委，国际人工智能顶级会议IJCAI 2020高级程序委员会委员，国际数据挖掘顶级会议CIKM 2019领域主席，ACM International Conference Multimedia Computing and Service程序委员会委员等。


社会兼职
国际人工智能顶级学术会议IJCAI资深程序委员会委员（SPC），数据挖掘权威学术会议CIKM资深程序委员会委员（SPC），国际期刊International Journal of Image and Graphics编委。中国自动化学会混合智能专委会委员。顶级和权威期刊和会议审稿人，期刊如IJCV、IEEE TIP、TNNLS、TGRS、TSP、TCYB、TII、TCSVT、TMM等，会议如ICCV2015、ICCV2017、ICIP2015、ICONIP2012等。


研究方向
人工智能；计算机视觉；机器学习


开授课程


科研项目


学术成果
谢源，1985年出生，现任华东师范大学计算机科学与软件工程学院教授。于2010年和2013年分别获得厦门大学计算机系和中国科学院自动化所工学硕士和博士学位。2014年获国家人社部和博管会的资助，授予“香江****”的称号，赴香港理工大学计算机系从事两年的博士后研究工作。历任中国科学院自动化研究所助理研究员（2013）和副研究员（2016）。
主要研究方向为计算机视觉和机器学习，包含基于深度学习的低层视觉(Low-level vision via deep learning)、深度网络压缩及多视图学习等。近年来主持承担了军委科技委创新特区、人社部香江****计划、国家自然科学基金、北京市自然科学基金等7项科研课题的研究。在国际顶级和权威会议，IJCV、TPAMI、TIP、TNNLS、TKDE、TCYB、TGRS、TCSVT、TMM、PR、PRL、NIPS、CVPR、ECCV、AAAI等，发表论文55篇，其中第一作者论文11篇。受邀担任国际期刊International Journal of Image and Graphics编委，ACM International Conference Multimedia Computing and Service程序委员会委员。
部分论文列表：

News:


1、Two paper has been accepted byAAAI 2021:
[1] Jingyu Gong, Jiachen Xu, Xin Tan, Jie Zhou, Yanyun Qu*, Yuan Xie*, Lizhuang Ma*. Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds.AAAI, 2021.
[2] Yachao Zhang, Zonghao Li, Yuan Xie, Yanyun Qu, Cuihua Li, Tao Mei. Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud. AAAI, 2021.

2、One paper has been accepted by ECCV 2020:
Xiaotong Luo*, Yuan Xie*, Yulun Zhang, Yanyun Qu, Cuihua Li, Yun Fu. LatticeNet: Towards Lightweight Image Super-Resolution with Lattice Block.European Conference on Computer Vision, 2020.
3、Three papers have been accepted by IJCAI 2020:
[1] Chengwei Chen, Jing Liu, Yuan Xie*, Yinxiao Ban, Chunyun Wu, Yiqing Tao, Haichuan Song. Latent Regularized Generative Dual Adversarial Network for Abnormal Detection. International Joint Conference on Artificial Intelligence, 2020.
[2] Tong Wu*, Yuan Xie*, Yanyun Qu, Bicheng Dai, Shuxin Chen. Meta Segmentation Network for Ultra-Resolution Medical Images. International Joint Conference on Artificial Intelligence, 2020.
[3] Jiachen Xu, Jingyu Gong, Jie Zhou, Xin Tan, Yuan Xie*, Lizhuang Ma. SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with a Learnable Scene Descriptor. International Joint Conference on Artificial Intelligence, 2020. (code has been released: https://github.com/azuki-miho/SceneEncoder)
4、One paper has been accepted by IEEE TNNLS:Yuan Xie, Jinyan Liu, Yanyun Qu, Dacheng Tao, Wensheng Zhang, Longquan Dai, Lizhuang Ma. Robust Kernelized Multi-View Self-Representation for Subspace Clustering.IEEE Trans. on Neural Networks and Learning Systems, 2020.
5、One paper has been accepted by CVPR 2020: Ming Hong, Yuan Xie, Cuihua Li, Yanyun Qu. Distill Image Dehazing with Hetergeous Task Imitation.Congrat to Ming Hong.
6、One paper has been accepted byIEEE TKDE:Yuan Xie, Bingqian Lin, Yanyun Qu, Cuihua Li, Wensheng Zhang, Lizhuang Ma,Yonggang Wen,Dacheng Tao. Joint Deep Multi-View Learning for Image Clustering.IEEE Trans. on Knowledge and Data Engineering, 2020.
7、Two papers have been accepted byAAAI-2020:
[1] Hierarchical Knowledge Squeezed Adversarial Network Compression. Peng Li, Changyong Shu,Yuan Xie*, Yanyun Qu, Hui Kong.AAAI Conference on Artificial Intelligence 2020.(* means corresponding author)
[2] Patch Proposal Network for Fast Semantic Segmentation of High-Resolution Images. Tong Wu, Zhenzhen Lei, Bingqian Lin, Cuihua Li, Yanyun Qu,Yuan Xie*.AAAI Conference on Artificial Intelligence 2020.(* means corresponding author)


课题组长期招收博士生，硕士生，欢迎感兴趣的同学咨询，邮件请发送到yxie@cs.ecnu.edu.cn


代表性期刊：

[1]Yuan Xie, Dacheng Tao, Wensheng Zhang, Lei Zhang, Yan Liu, Yanyun Qu. On Unifying Multi-View Self-Representation for Clustering by Tensor Multi-Rank Minimization.International Journal of Computer Vision,vol. 126, no. 11, 2018. (SCI, CCF A, JCR1,人工智能top期刊，影响因子：11.541)
[2] Changqing Zhang, Huazhu Fu, Qinghua Hu, Xiaochun Chao,Yuan Xie, Dacheng Tao, Dong Xu. Generalized Latent Multi-View Subspace Clustering.IEEE Trans. on Pattern Analysis and Machine Intelligence, preprint, 2018.(SCI, CCF A, JCR1,人工智能top期刊，影响因子：9.455)
[3]Yuan Xie, Dacheng Tao, Yanyun Qu, Wensheng Zhang, Longquan Dai. Hyper-Laplacian Regularized Multilinear Multi-View Self-Representation for Clustering and Semi-supervised Learning.IEEE Trans. on Cybernetics, preprint, 2019. (SCI, CCF B, JCR 1, 影响因子：8.803)
[4] Zhizhong Zhang*,Yuan Xie*, Wensheng Zhang, Qi Tian. Effective Image Retrieval via Multilinear Multi-Index Fusion.IEEE Trans. on Multimedia, preprint, 2019. (SCI, CCF B, JCR 1, 影响因子：3.977, *共同一作)
[5] Yongqiang Tang*,Yuan Xie*, Xuebing Yang, Jinghao Niu, Wensheng Zhang. Tensor Multi-Elastic Kernel Self-Paced Learning for Time Series Clustering.IEEE Trans. on Knowledge and Data Engineering, preprint, 2019. (SCI, CCF A, JCR 2, 影响因子：2.775, *共同一作)
[6]Yuan Xie, Wensheng Zhang, Dacheng Tao, Wenrui Hu, Yanyun Qu, Hanzi Wang. Removing Turbulence Effect via Hybrid Total Variation and Deformation-Guided Kernel Regression.IEEE Trans. on Image Processing, vol. 25, no. 10, 2016. (SCI, CCF A, JCR 2, 影响因子：5.071)
[7]Yuan Xie, Shuhang Gu, Yan Liu, Wangmeng Zuo, Wensheng Zhang, Lei Zhang. Weighted Schatten p-Norm Minimization for Image Denoising and Background Subtraction.IEEE Trans. on Image Processing, vol. 25, no. 10, 2016. (SCI, CCF A, JCR 2, 影响因子：5.071)
[8]Yuan Xie, Yanyun Qu, Dacheng Tao, Weiwei Wu, Qiangqiang Yuan, Wensheng Zhang. Hyperspectral Image Restoration via Iteratively Regularized Weighted Schatten p-Norm Minimization.IEEE Trans. on Geoscience and Remote Sensing, vol. 54, no. 8, 2016. (SCI, CCF B, JCR1, 影响因子：4.662)
[9]Yuan Xie, Wensheng Zhang, Cuihua Li, Shuyang Lin, Yanyun Qu, Yinghua Zhang. Discriminative Object Tracking via Sparse Representation and Online Dictionary Learning.IEEE Trans. on Cybernetics, vol. 44, no. 4, 2014. (SCI, CCF B, JCR 1, 影响因子：8.803)
[10]Yuan Xie, Wensheng Zhang, Yanyun Qu, YinghuaZhang. Discriminative Subspace Learning with Sparse Representation View-based Model for Robust Visual Tracking.Pattern Recognition, vol. 47, no. 3, 2014.(SCI, CCF B, JCR 2,影响因子：3.962)
[11]Yuan Xie, Yanyun Qu, Cuihua Li, Wensheng Zhang. Online Multiple Instance Gradient Feature Selection for Robust Visual Tracking.Pattern Recognition Letter, vol. 33, no. 9, 2012. (SCI, CCF C, JCR 3,影响因子：1.952)
[12] Longquan Dai, Mengke Yuan, Liang Tang,Yuan Xie, Xiaopeng Zhang, Jinghui Tang. Interpreting and Extending the Guided Filter via Cyclic Coordinate Descent.IEEE Trans. on Image Processing, preprint, 2019.
[13] Wenrui Hu, Dacheng Tao, Wensheng Zhang,Yuan Xie, Yehui Yang. The Twist Tensor Nuclear Norm for Video Completion.IEEE Trans. on Neural Networks and Learning Systems, 2016.
[14] Yanyun Qu, Li Lin, Fumin Shen, Chang Lu, Yang Wu,Yuan Xie, Dacheng Tao. Joint Hierarchical Category Structure Learning and Large-Scale Image Classification.IEEE Trans. on Image Processing, 2017.
[15] Yehui Yang, Wenrui Hu,Yuan Xie, Wensheng Zhang, Tianzhu Zhang. Temporal Restricted Visual Tracking via Reverse-Low-Rank Sparse Learning.IEEE Trans. on Cybernetics, 2017.
[16] Yehui Yang, Wenrui Hu, Wensheng Zhang, Tianzhu Zhang,Yuan Xie. Discriminative Reverse Sparse Tracking via Weighted Multi-Task Learning.IEEE Trans. on Circuits and Systems for Video Technology, 2016.
[17] Yehui Yang,Yuan Xie, Wensheng Zhang, Wenrui Hu, Yuanhua Tan. Global Coupled Learning and Local Consistencies Ensuring for Sparse-based Tracking.Neurocomputing, 2015.
[18] Wenrui Hu,Yuan Xie, Lin Li, Wensheng Zhang. A TV-RC based Nonrigid Image Registration by Combining Parametric and Non-Parametric Transformation.Neurocomputing, 2014.
[19] Lin Li,Yuan Xie, Wenrui Hu, Wensheng Zhang. Single Image Super-Resolution using Combined Total Variation Regularization by Split Bregman Iteration.Neurocomputing, 2014.
[20] Yang Yang, Wensheng Zhang,Yuan Xie. Image Automatic Annotation viaMulti-View Deep Representation.Journal of Visual Communication and Image Representation, 2014.
[21] Yinghua Zhang, Wensheng Zhang,Yuan Xie. Improved Heuristic Equivalent Search Algorithm based on Maximal Information Coefficient for Bayesian Network Structure Learning.Neurocomputing, 2013.
[22] Jianming Li, Yanyun Qu, Cuihua Li,Yuan Xie, Yang Wu, Jianping Fan. Learning Local Gaussian Process Regression for Image Super-Resolution.Neurocomputing, 2015.
[23] Jianming Li, Yanyun Qu, Cuihua Li,Yuan Xie. Image Super-Resolution based on Multi-Kernel Regression.Multimedia Tools and Application, 2016.



代表性会议：
[1]Rong Chen*,Yuan Xie*, Xiaotong Luo, Yanyun Qu, Cuihua Li.Joint-Attention Discriminator for Accurate Super-resolution via Adversarial Training.ACM Multimedia, 2019(* means equal contributions)
[2] Yanyun Qu, Yizi Chen, Jingying Huang,Yuan Xie^*. Enhanced Pix2pix Dehazing Network.IEEE Conference Computer Vision and Pattern Recognition (CVPR), 2019. (*通信作者)
[3] Longquan Dai, Liang Tang,Yuan Xie, Jinghui Tang. Designing by Training: Acceleration Neural Network for Fast High-Dimensional Convolution.Neural Information Processing Systems (NIPS), 2018.
[4] Xiaotong Luo, Rong Chen,Yuan Xie, Yanyun Qu, Cuihua Li. Bi-GANs-ST for Perceptual Image Super-Resolution.European Conference on Computer Vision Workshop, 2018.
[5]Rong Chen, Yanyun Qu, Cuihua Li,Yuan Xie. Persistent Memory Residual Network for Single Image Super Resolution.IEEE Conference Computer Vision and Pattern Recognition PIRMWorkshop(CVPRW), 2018.
[6] Yuanhao Gong,Yuan Xie. Linear Approximation of Mean Curvature.IEEE International Conference on Image Processing (ICIP), 2017.
[7] Yanwen Zhou, Yanyun Qu,Yuan Xie, Wensheng Zhang. Image Super Resolution using Deep Belief Networks.ACM Internet Multimedia Computing and Service, 2014.
[9] Yanyun Qu, Lifeng Liu,Yuan Xie, Zejian Yuan. Automatic Online Labeling Images via Co-active Learning.ACM Internet Multimedia Computing and Service, 2009.
[10]Yuan Xie, Lifeng Liu, Cuihua Li, Yanyun Qu. Unifying Visual Saliency with HOG Feature Learning for Traffic Sign Detection.IEEE Intelligent Vehicles Symposium, 2009.











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