曲延云-pg娱乐电子游戏

 曲延云-pg娱乐电子游戏
曲延云 教授;博士生导师

西安交通大学 博士 (2006)

研究方向:计算机视觉、模式识别

所属部门:计算机科学与技术系

电子邮件:yyqu (at) xmu.edu.cn

个人pg娱乐电子游戏主页:http://quyanyun.xmu.edu.cn

个人简历:

计算机系教工党支部书记,计算机系教工党支部是全国高校党建工作样板支部、福建省党建工作样板支部


主讲课程:

计算方法

计算机视觉(研究生课程)

计算智能(研究生课程)

 

学术兼职:

中国自动化学会混合智能专委会秘书长

福建省计算机学会常务理事

中国计算机学会计算机视觉专委会委员

中国图形图像学会文档检测与识别专委会委员

ieee member

acm member

ccf senior member

6届网络多媒体计算与服务会议技术程序委员会主席

国际人工智能顶级学术会议ijcai资深程序委员会委员(spc

国际人工智能顶级学术会议aaai程序委员会委员

计算机视觉顶级学术会cvpr程序委员会委员

icpr程序委员会委员

 

获奖情况

1.  罗小同,张江涛,洪铭,曲延云,谢源,李翠华,winner award ntire 2020 challenge on image demoireing cvpr2020.

2.  刘璟,吴海燕,谢源,曲延云,马利庄,winner award ntire 2020 challenge on nonhomogeneous dehazingcvpr2020.

3.  吴海燕,刘璟,谢源,曲延云,马利庄,winner award ntire 2020 challenge on nonhomogeneous dehazingcvpr2020.

4.  卢建昀 ,郭金康,李韬,窦健,2017年中国智能车未来挑战赛离线测试交通标识识别一等奖,国家基金委,2017.11.24 指导老师:曲延云 房建武

5.  吴伟伟 ,2016年福建省优秀硕士学位论文,福建省教育厅,指导老师:曲延云

6.  林丽,2017年福建省优秀硕士学位论文,福建省教育厅,指导老师:曲延云

7.  张怡晨 ,陈蓉,丁瑶,罗小同,2017ccf大数据与计算智能大赛舰船识别组三等奖,计算机学会,指导教师:曲延云,李翠华

8.  陈蓉,曾坤,郭金康,honorable mentioned awards---ntire 2018 challenge on single image super-resolution track 1: classic bicubiccvpr2018 workshop 指导老师:曲延云 李翠华

9.  洪铭, 陈怡姿,黄静颖, 陈淑鑫, runner-up award,  ntire--图像去雾, cvpr2019 workshop

10. 郑育强,解宇虹,陈亮,李宗豪,洪辰,曲延云,陈怡姿,runner-up award, ugg challenge, track 2.1 semi-supervised object detection in the haze, cvpr2019, workshop.

11. 洪铭,林雯颖,杨汶锦,曲延云,runner-up award, aim2019 challenge on image demorieing, iccv2019

12. 陈亮、裴玉龙、解宇虹,“贝式计算杯”信息融合挑战赛二等奖,中国航空学会,2019.9.7  指导教师:曲延云,李翠华

13. 李宗豪,雷珍珍,吴桐,“贝式计算杯”信息融合挑战赛优胜奖,中国航空学会,2019.9.7 指导教师:曲延云,李翠华

14. 刘洪,迟宇希,代明亮,曹露露,博雅力,作品:“算你狠”手写数学推理系统》在第12届中国大学生计算机设计大赛中荣获二等奖,指导教师:曲延云,郑旭玲。

15. 2012年厦门大学争先创优优秀党员称号

16. 2013年暑期实践优秀指导老师称号

17. 2019年获得中国自动化学会优秀通讯员

18. 2020年获得厦门大学三八红旗手

 

在研项目

1. 国家自然科学基金面上项目,61876161,大规模图像分类中知识驱动的层次化学习研究,2019.1-2022.12,主持;

2. 新一代人工智能重大专项,2020aaa0108301,子课题,具有环境自适应能力的工业视觉感知模型及系统,2021.1-2023.12,主持;

 

代表性论文

1. yachao zhang, zonghao li, yuan xie, yanyun qu, cuihua li, tao mei, weakly supervised semantic segmentation for large-scale point cloud,aaai2021

2.  ming hong, yuan xie, cuihua li, yanyun qu*, distill image dehazing with hetergeous task imitation, cvpr2020

3. yuan xie, bingqian lin, yanyun qu*, cuihua li, wensheng zhang, lizhuang ma, yonggang wen, dacheng tao, joint deep multi-view learning for image clustering, transactions on knowledge and data engineering, 2020 (doi: 10.1109/tkde.2020.2973981)

4. xie, yuan; jinyan, liu; qu, yanyun; tao, dacheng; zhang, wensheng; dai, longquan; ma, lizhuang, robust kernelized multi-view self-representation for subspace clustering, ieee transactions on neural networks and learning systems, 2020.

5. yuqiang zheng, yuan xie, yanyun qu*, xiaodong yang, cuihua lia, yan zhang, scale robust deep oriented-text detection network, pattern recognition, 2020.( )

6. yuan xie, wensheng zhang, yanyun qu*, longquan dai, dacheng tao, hyper-laplacian regularized multilinear multi-view self-representations for clustering and semi-supervised learning, ieee trans. on cybernetics, vol. 50(2), pp. 572-586, 2020. print issn: 2168-2267

7. yan zhang, yanyun qu*, cuihua li, yunqi lei, jianping fanontology-driven hierarchical sparse coding for large-scale image classification, neurocomputing, 2019.

8. yanyun qu, yizi chen, jingying huang, and yuan xie, enhanced pix2pix dehazing network, cvpr2019.

9. rong chen, yuan xie, xiaotong luo, yanyun qu*, cuihua li*, joint-attention discriminator for accurate super-resolution via adversarial training, acmmm 2019.

10. tong wu, zhenzhen lei, bingqian lin, cuihua li, yanyun qu*, yuan xie*, patch proposal network for fast semantic segmentation of high-resolution images, aaai2020.

11. peng li, changyong shu, yuan xie*, yanyun qu*, hui konghierarchical knowledge squeezed adversarial network compression, aaai2020.

12. tong wu, bicheng dai, shuxin chen, yanyun qu*, yuan xie*,meta segmentation network for ultra-resolution medical imagesijcai2020, japan.

13. xiaotong luo, yuan xie, yulun zhang, yanyun qu*, cuihua li, and yun fu, latticenet: towards lightweight imagesuper-resolution with lattice block, eccv2020

14. yanyun qu*, li lin, fuming shen, chang lu, yang wu, yuan xie, dacheng tao, joint hierarchical category structure learning and large-scale image classification, ieee trans. on image processing, 26(9): 4331-43462017.

15. rong chen, yanyun qu*, cuihua li, kun zeng, yuan xie, ce lisingle-image super-resolution via joint statistic models-guided deep auto-encoder networkneural computing and application, 2018

16. yuan xie,dacheng tao,wensheng zhang,yan liu,lei zhang,yanyun qu, on unifying multi-view self-representations for clustering by tensor multi-rank minimization, international journal of computer vision,2018,4.

 

授权发明专利

1)曲延云,卢畅,基于深度学习的特征和最大置信路径的图像分类方法, 2018.1.26, 中国, zl201510438236.8

2)曲延云,周燕稳,郑欢欢,谢源,李翠华,基于深度置信网络的图像超分辨率重建方法, zl201510501171.7

3)曲延云,吴伟伟,谢源, 基于稀疏与低秩矩阵逼近的高光谱图像恢复方法, 2019.2.15,zl201610805487.x

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