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谢源

教授、博士生导师、国家优青

计算机科学与技术学院      

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: 02162231389
  • 传真:
  • 电子邮箱: yxie@cs.ecnu.edu.cn
  • 办公地址: 理科大楼B617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技术学院,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、博导,国家优青,闽江学者讲座教授,人社部“香江学者”。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“香江学者”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,当前研究方向涵盖:低层视觉、面向自动驾驶的三维感知、跨模态感知、跨模态学习、小样本学习、增量学习等。先后主持了国家自然科学基金优秀青年基金、科技部科技创新2030“新一代人工智能”重大项目课题,中央军委科技委国防创新特区项目,国家自然科学基金面上项目,青年项目,人力资源与社会保障部“香江学者”,上海市人工智能科技支撑专项,北京市和上海市自然科学基金面上项目各1项,第一、二届中国人工智能学会-华为MindSpore学术基金。在国内外权威期刊和顶级会议上共发表和接收学术论文90余篇,其中第一作者/通讯作者CCF A类或中科院一区论文47篇。申请人提出的从向量到张量的正则化理论及方法已逐渐得到国内外众多同行的认可,相关成果Google引用次数超3800次(引用超百次的论文8),提出的图像复原算法获得了CVPR2020图像视频复原和增强挑战赛(IEEE CVPR NTIRE 2020)的图像去雾和去摩尔纹赛道的两项冠军;先后担任IJCAI2019-2022的领域主席/Senior PCCIKM2019领域主席;相关研究成果获得了吴文俊人工智能科学技术奖自然科学二等奖(第二完成人)、上海市科技进步特等奖(第十完成人)。



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、TSPTCYBTIITCSVTTMM等,会议如ICCV2015ICCV2017ICIP2015ICONIP2012等。

研究方向

人工智能;计算机视觉;机器学习

 

开授课程

深度学习基础与导论(本科课程)

计算机视觉与深度学习(博士生课程)


科研项目

学术成果

谢源,现任华东师范大学计算机科学与技术学院教授、博导,国家优青,闽江学者讲座教授,人社部“香江学者”。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“香江学者”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,当前研究方向涵盖:低层视觉、面向自动驾驶的三维感知、跨模态感知、跨模态学习、小样本学习、增量学习等。先后主持了国家自然科学基金优秀青年基金、科技部科技创新2030“新一代人工智能”重大项目课题,中央军委科技委国防创新特区项目,国家自然科学基金面上项目,青年项目,人力资源与社会保障部“香江学者”,上海市人工智能科技支撑专项,北京市和上海市自然科学基金面上项目各1项,第一、二届中国人工智能学会-华为MindSpore学术基金。在国内外权威期刊和顶级会议上共发表和接收学术论文90余篇,其中第一作者/通讯作者CCF A类或中科院一区论文47篇。申请人提出的从向量到张量的正则化理论及方法已逐渐得到国内外众多同行的认可,相关成果Google引用次数超3800次(引用超百次的论文8),提出的图像复原算法获得了CVPR2020图像视频复原和增强挑战赛(IEEE CVPR NTIRE 2020)的图像去雾和去摩尔纹赛道的两项冠军;先后担任IJCAI2019-2022的领域主席/Senior PCCIKM2019领域主席;相关研究成果获得了吴文俊人工智能科学技术奖自然科学二等奖(第二完成人)、上海市科技进步特等奖(第十完成人)。



部分论文列表:


News:

课题组长期招收博士生,硕士生,欢迎感兴趣的同学咨询。2021年度计划招收计算机应用技术博士1名,智能教育博士1名,欢迎咨询,邮件请发送到yxie@cs.ecnu.edu.cn

课题组招收具有医学背景的跨模态学习和应用方向的博士后一名,欢迎咨询。


1、One paper has been accepted by TPAMI,three papers have been accepted by ECCV 2022

    [1] Xiaotong Luo, Yanyun Qu*, Yuan Xie*, Yulun Zhang, Cuihua Li, Yun Fu. Lattice Network for Lightweight Image Restoration, IEEE Trans. on Pattern Analysis and Machine Learning, 2022.

   [2] Jingyu Gong, Fengqi Liu, Jiachen Xu, Min Wang, Xin Tan, Zhizhong Zhang, Ran Yi, Haichuan Song, Yuan Xie*, Lizhuang Ma*. Optimization over Disentangled Encoding: Unsupervised Cross-Domain Point Cloud Completion via Occlusion Factor ManipulationECCV, 2022.

   [3] Jiangming Wang, Zhizhong Zhang*, Mingang Chen, Yi Zhang, Cong Wang, Bin Sheng, Yanyun Qu, Yuan Xie*. Optimal Transport for Label-Efficient Visiable-Infrared Person Re-Identification, ECCV, 2022.

   [4] TianXue Ma, Mingwei Bi, Jian Zhang, Wang Yuan, Zhizhong Zhang*, Yuan Xie, Shouhong Ding, Lizhuang Ma*. Mutually Reinforcing Structure with Proposal Contrastive Consistency for Few-Shot Object Detection, ECCV, 2022.

2、Seven papers have been accepted by ACM MM 2022:

   [1] Yachao Zhang, Miaoyu Li, Yuan Xie*, Cuihua Li, Cong Wang, Zhizhong Zhang, Yanyun Qu*. Self-supervised Exclusive Learning for 3D Segmentation with Cross-Modal Unsupervised Domain Adaptation, ACM MM, 2022. Oral.

   [2] Xudong Tian, Jun Liu, Zhizhong Zhang*, Chengjie Wang, Yanyun Qu, Yuan Xie,  Lizhuang Ma. Hierarchical Walking Transformer for Object Re-IdentificationACM MM, 2022. Oral.

   [3] Xiaotong Luo, Mingliang Dai, Yulun Zhang, Yuan Xie*, Ding Liu, Yanyun Qu*, Yun Fu, Junping Zhang. Adjustable Memory-efficient Image Super-resolution via Individual Kernel SparsityACM MM, 2022.

   [4] Jiawei Zhan, Jun Liu, Wei Tang, Guannan Jiang, Xi Wang, Bin-Bin Gao, Tianliang Zhang, Wenlong Wu, Wei Zhang, Chengjie Wang*, Yuan Xie*. Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak SupervisionACM MM, 2022.

    [5] Jinxiang Lai, Siqian Yang, Guannan Jiang, Xi Wang, Yuxi Li, Zihui Jia, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie*, Chengjie Wang*. Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance PerspectiveACM MM, 2022.

   [6] Hanzhe Sun, Jun Liu, Zhizhong Zhang, Chengjie Wang, Yanyun Qu, Yuan Xie*, Lizhuang Ma. Not All Pixels Are Matched: Dense Contrastive Learning for Cross-Modality Person Re-IdentificationACM MM, 2022.

   [7] Miaoyu Li, Yachao Zhang, Yuan Xie, Zuodong Gao, Cuihua Li, Zhizhong Zhang, Yanyun Qu*. Cross-Domain and Cross-Modal Knowledge Distillation in Domain Adaptation for 3D Semantic SegmentationACM MM, 2022.

3、One papers has been accepted by ICML 2022:

   [1] Haiyan Wu, Yuting Gao, Yinqi Zhang, Shaohui Lin*, Yuan Xie*, Xing Sun, Ke Li. Self-supervised Models are Good Teaching Assistants for Vision Transformers. ICML, 2022. 

4、Three papers have been accepted by CVPR 2022:

    [1] Xia Kong, Zuodong Gao, Xiaofan Li, Ming Hong, Jun Liu, Chengjie Wang, Yuan Xie*, Yanyun Qu*. En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning. CVPR, 2022. 

   [2]  Junshu Tang, Zhijun Gong, Ran Yi, Yuan Xie, Lizhuang Ma. LAKe-Net: Topology-Aware Point Cloud Completion by Localizing Aligned Keypoints. CVPR, 2022.

   [3] Mengtian Li, Yuan Xie, Yunhang Shen, Bo Ke, Ruizhi Qiao, Bo Ren, Shaohui Lin, Lizhuang Ma. HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization. CVPR, 2022.

5、Two papers have been accepted by AAAI 2022, and one paper has been accepted by 3DV:

    [1] Wang Yuan#, Zhizhong Zhang#, Cong Wang, Haichuan Song, Yuan Xie*, Lizhuang Ma*. Task-level Self-supervision for Cross-domain Few-shot Learning. AAAI, 2022. 

   [2]  Chengwei ChenYuan Xie*, Shaohui Lin, Angela Yao, Guannan Jiang, Wei Zhang, Yanyun Qu, Ruizhi Qiao, Bo Ren, Lizhuang Ma*. Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection. AAAI, 2022.

   [3] Jiachen Xu, Min Wang, Jingyu Gong, Wentao Liu, Chen Qian, Yuan Xie*, Lizhuang Ma*. Exploring Versatile Prior for Human Motion via Motion Frequency Guidance. International Conference on 3D Vision (3DV), 2021.

6、One paper has been accepted by ICCV 2021, and one paper has been accepted by ACM MM 2021:

    [1] Yachao Zhang, Yanyun Qu*, Yuan Xie*, Zonghao Li, Shanshan Zheng, Cuihua Li. Perturbed Self-Distillation: Wealy Supervised Large-Scale Point Cloud Semantic Segmentation. International Conference on Computer Vision, 2021. 

   [2]  Bicheng Dai, Kaisheng Wu, Tong Wu, Kai Li, Yanyun Qu*Yuan Xie*, Yun Fu*. Faster-PPN: Towards Real-Time Semantic Segmentation with Dual Mutual Learning for Ultra-High Resolution Images. ACM Multimedia, 2021.

7、Four papers has been accepted by IJCAI 2021:

    [1] Chengwei Chen, Shaohui Lin, Xin Tan, Ruizhi Qiao, Jian Zhou, Yi Zhang, Yuan Xie*, Lizhuang Ma*. Novelty Detection via Contrastive Learning with Negative Data Augmentation. International Joint Conference on Artificial Intelligence, 2021.   

    [2] Shubao Liu#, Keyue Zhang#, Kekai Zhang, Shuohong Ding*, Ying Tai, Jilin Li, Yuan Xie, Lizhuang Ma. Dual Reweighting Domain Generalization for Face Presentation Attack Detection. International Joint Conference on Artificial Intelligence, 2021.

    [3] Xuncheng Liu#, Xudong Tian#, Shaohui Lin, Yanyun Qu, Wang Yuan, Zhizhong Zhang*, Yuan Xie*, Lizhuang Ma. Learn from Concepts: Towards the Purified Memory for Few-Shot Learning. International Joint Conference on Artificial Intelligence, 2021.

    [4] Yanbo Wang, Shaohui Lin*, Yanyun Qu, Haiyan Wu, Zhizhong Zhang, Yuan Xie*, Angela Yao. Towards Compact Single Image Super-Resolution via Contrastive Self-distillation. International Joint Conference on Artificial Intelligence, 2021.  

8、Four papers has been accepted by CVPR 2021:

    [1] Xudong Tian, Zhizhong Zhang*, Shaohui Lin, Yanyun Qu, Yuan Xie*, Lizhuang Ma. Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification. IEEE Conference Computer Vision and Pattern Recognition, 2021. (Oral)

   [2] Haiyan Wu, Yanyun Qu, Jian Zhou, Ruizhi Qiao, Shaohui Lin*, Zhizhong Zhang, Yuan Xie*, Lizhuang Ma. Contrastive Learning for Compact Single Image Dehazing. IEEE Conference Computer Vision and Pattern Recognition, 2021.

   [3] Jingyu Gong, Jiachen Xu, Xin Tan, Perez Li, Haichuan Song, Yanyun Qu, Yuan Xie*, Lizhuang Ma*. Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning. IEEE Conference Computer Vision and Pattern Recognition, 2021.

   [4] Shiyang Yan, Li Yu, Yuan Xie*. Discrete-continuous Action Space Policy Gradient-based Attention for Image-Text Matching. IEEE Conference Computer Vision and Pattern Recognition, 2021.

9、Two papers has been accepted by AAAI 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.


10、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.

11、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)
12、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.

13、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.

14、One paper has been accepted by IEEE TKDEYuan 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.

15、Two papers have been accepted by AAAI-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, Yinghua Zhang. 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 via Multi-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 PIRM Workshop (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.

 


 

 

 

 

 

 

 

荣誉及奖励

国家自然科学基金优秀青年基金获得者;

中国智能科学最高奖 2020吴文俊人工智能科学技术奖自然科学二等奖(排名第二);

2020上海市科技进步特等奖(排名第十);

人力资源与社会保障部“香江学者”奖(排名第一)

招生信息

10 访问

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