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教学科研人员

张 钰
发布时间:2016-09-18     浏览量:   分享到:

   
张 钰
职称/职务:副教授
电话:
个人主页:
电子信箱:zhangyu82@snnu.edu.cn
研究方向:计算机视觉、人工智能、高性能计算、大数据处理
办公地点:


个人简介

张钰, 男, 博士, yL23411永利官网登录,副教授。

2009/9–2014/5, 法国中央理工大学, 计算机科学与技术, 博士

2006/9–2009/7, 西安交通大学, 数学与应用数学, 硕士

2001/9–2006/7, 西安交通大学, 数学与应用数学, 学士

学术论文

[1] Zhang Lu, Zhang Yu, Peng Ya-Li, Liu Shi-Gang, Wu Xiaojun, Lu Gang, Rao Yuan,Fast Single Image Super-Resolution via Dilated Residual Networks, IEEE access 2018(accepted)

[2] 彭亚丽,张鲁,张钰*,刘侍刚,郭敏,基于深度反卷积神经网络的图像超分辨率算法, 软件学报, 2018

[3] Ningning Liu, Emmanuel Dellandréa, Liming Chen, Chao Zhu, Yu Zhang, Charles-Edmond Bichot, Stéphane Bres, Bruno Tellez. Multimodal recognition of visual concepts using histograms of textual concepts and selective weighted late fusion scheme, Computer Vision and Image Understanding, 2013.5.01, 117(5):493~512

[4] Tao Jiang, Yu Zhang*, Xiaojun Wu, Yuan Rao, Single Image Super-Resolution via Squeeze and Excitation Network, The British Machine Vision Conference(BMVC) 2018 (accepted)

[5] Tao Jiang, Yu Zhang*, Xiaojun Wu, Gang Lu, Fei Hao, Yumei Zhang, Single Image Super Resolution via a Refined Densely Connected Inception Network, IEEE International Conference on Image(ICIP) 2018 (accepted)

[6] Tao Jiang, Xiaojun Wu, Yu Zhang*, Wuyang Shui, Gang Lu, Shiqi Guo, Hao Fei Recursive Inception Network for Super-Resolution, International Conference on Pattern Recognition(ICPR) 2018 (accepted)

[7] Yanhui Guo, Siming Han, Han Cao, Yu Zhang*, Qian Wang, Guided filter based Deep Recurrent Neural Networks for Hyperspectral Image Classification. 2017 International Conference on Identification, Information and Knowledge in the Internet of Things, 2018, 129:219-223.

[8] 周记,张钰*,吴晓军,BFGS训练的深度循环卷积神经网络目标检测与分类,第35届中国控制会议,成都,2016.7.27-2016.7.29

[9] Yu Zhang,Stéphane Bres,Liming Chen,Visual Concept Detection and Annotation via Multiple Kernel Learning of multiple models,The International Conference on Image Analysis and Processing,Naples,Italy,2013.9.9-2013.9.13

[10] Yu Zhang ,Chao Zhu,Stéphane Bres,Liming Chen,Encoding Local Binary Descriptors by Bag-of-Features with Hamming Distance for Visual Object Categorization,35th european conference on information retrieval,Moscow,Russian,2013.3.24-2013.3.27

[11] Yu Zhang, Stéphane Bres,Liming Chen,Sampled Multi-scale Color Local Binary Patterns,8th International Joint Conference on Computer Vision,Imaging and Computer Graphics Theory and Applications,Barcelona,Spain,2013.2.21-2013.2.24

[12] Yu Zhang, Stéphane Bres, Liming Chen, Semantic Bag-of-Words Models for Visual Concept Detection and Annotation,8th International Conference on SIGNAL IMAGE TECHNOLOGY and INTERNET BASED SYSTEMS,Sorrento,Italy,2012.10.25-2012.10.29

[13]Yue Cao, Jinhe He, Yu Zhang, Gang Lu, Shigang Liu, Xiaojun Wu, DnM3Net: Multi-Scale & Multi-Level Shuffle-CNN Via Multi-Level Attention for Image Denoising, 2019 IEEE SmartCNS, 2019

主持(或参与)的项目

[1]国家重点研发计划,2019YFC1521105 智慧博物馆建设标准体系构建与应用示范子课题,2020/01-2022/12160万元,在研,主持

[2]青海省重点研发计划,2020-GX-110青海生态大数据的可视化研究及应用示范子课题,2020/01-2022/1290万元,在研,主持

[3]国家自然科学基金, 61741208,多源数据的图像深度多示例分类与标注模型研究,2018/01-2018/12, 8万元,在研,主持

[4]国家重点研发计划,2017YFB1402100,民族民间文化资源传承与开发利用技术集成与应用示范,2018/01-2020/12,4868万元,在研,参与

[5]陕西省自然科学基金(青年基金),2017JQ6074,基于多源数据融合模型的图像认知研究,2017/01-2018/12,3万元,在研,主持

[6]中央高校基本科研业务费,GK201603091,基于多模型的图像分类方法研究,2016/01-2017/12,5万元,在研,主持

[7] 横向课题,孔隙网格剖分程序测试,9.5万,在研,主持

[8] 横向课题,基于G PU的量子化学软件测试及优化, 5万,在研,主持