基本信息

齐娜，北京工业大学信息学部软件学院硕士生导师，博士毕业于北京工业大学多媒体与智能软件北京市重点实验室，计算机科学与技术专业。主持国家自然科学基金青年项目、中国博士后基金面上项目，北京市教委科技一般项目及北京市博士后基金等科研项目；参与多项国家自然科学基金重点/面上项目，北京市自然科学基金青年项目及北京市教委重点项目。在国际期刊和会议上发表SCI/EI论文20余篇（包括IEEE Trans. PAMI, CVPR, ICME, ICIP, VCIP, PCM等），申请国家发明专利11项，已授权7项。

主要研究方向

智能媒体计算、图像复原、张量稀疏表达、深度学习

学术兼职

IEEE会员，中国计算机学会专业会员

担任IEEE ICME，ICIP，VCIP等国际会议和TIP, IEEE Access国际期刊审稿

教学情况

虚拟现实技术，32学时,虚拟现实技术课设60学时，大三本科生春季学期.

发表论文

[1]Na Qi*, Yunhui Shi, Xiaoyan Sun, Jingdong Wang, Baocai Yin and Junbin Gao, “Multi-Dimensional Sparse Models”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 40(1),2018:163-178, (SCI, JCR 1区，IF：17.73)

[2] Kun Li,Na Qi*, Qing Zhu, “Fluid Simulation with an L0 Based Optical Flow Deformation”，Appl. Sci. 2020, 10(18), 6351; https://doi.org/10.3390/app10186351, 12, Sep, 2020 (SCI, IF: 2.474)

[3] Min Zhang, Yunhui Shi,Na Qi, Baocai Yin, “Stable Sparse Model with Non-Tight Frame”，Appl. Sci. 2020, 10(5), 1771;https://doi.org/10.3390/app10051771. 04 Mar 2020 (SCI, IF: 2.474)

[4] Min Zhang, Yunhui Shi,Na Qi, Baocai Yin,“Data-Driven Redundant Transform Based on Parseval Frames”, Appl. Sci. 2020, 10(8), 2891; https://doi.org/10.3390/app10082891, 22 Apr 2020 (SCI, IF: 2.474)

[5]Na Qi, Yunhui Shi, Xiaoyan Sun, and Baocai Yin, “TenSR: Multi-Dimensional Tensor Sparse Representation”, in Proc. of IEEE International Conf. on Computer Vision and Pattern Recognition (CVPR 2016), pp. 1-10. June 26-July 1, 2016，Las Vegas, USA. (EI, CCF-A类)

[6]Na Qi, Yunhui Shi, Xiaoyan Sun, Wenpeng Ding, Baocai Yin, “Single image super-resolution via 2D sparse representation”, in Proc. of IEEE International Conference on Multimedia and Expo (ICME), pp.1‐6, June 29- July 3, 2015, TURIN, Italy. ( Oral, EI, CCF-B类)

[7]Na Qi, Yunhui Shi, Xiaoyan Sun, Wenpeng Ding, Baocai Yin, “Single image super-resolution via 2D nonlocal sparse presentation”, in Proc. of IEEE International Conference on Visual Communications and Image Processing, (VCIP), pp. 1-6, Dec 13-16, 2015, Singapore. (Oral, EI)

[8]Na Qi, Yunhui Shi, Xiaoyan Sun, Jingdong Wang, and Baocai Yin, "Two dimensional synthesis sparse model," in Proc. of IEEE International Conference on Multimedia and Expo (ICME), pp.1‐6, 15‐19 July 2013，San Jose, USA. ( EI, CCF-B类)

[9]Na Qi, Yunhui Shi, Xiaoyan Sun, Jingdong Wang, and Wenpeng Ding, "Two dimensional analysis sparse model," in Proc. of IEEE International Conference on Image Processing (ICIP), pp.310‐314, 15‐18 Sept. 2013, Melbourne, Australia.( EI，CCF-C类)

[10] Chen Wang，Na Qi，Qing Zhu，“Tensor-Based Light Field Denoising By Exploiting Non-Local Similarities Across Multiple Resolutions”. in Proc. of IEEE International Conference on Image Processing (ICIP) pp: 1078-1082, 25-28 Oct. 2020, United Arab Emirates. ( EI，CCF-C类)

[11] Yiwei Liu,Na Qi, Qing Zhu, Weiran Li, “CR-U-Net: Cascaded U-Net with Residual Mapping for Liver Segmentation in CT Images”, 2019 IEEE International Conference on Visual Communications and Image Processing, (VCIP 2019), 2019.12.01-12.04，pp1-4, Sydney, Australia.

[12] Yun Liu,Na Qi, Zhen Cheng, Dong Liu, Qing Ling, Zhiwei Xiong, “Tensor-based light field Denoisign by Integrating Super-resolution”, 2018 International Conference on Image Processing, (ICIP 2018), pp.1-5. 2018, Athens, Greece (EI, CCF-C类)

发明专利

(1)施云惠，齐娜，刘浩，丁文鹏，尹宝才，一种图像超分辨率重建方法，ZL201510385633.3, 已授权

(2)施云惠，齐娜，丁文鹏，一种二维分析稀疏模型、其字典训练方法和图像去噪方法，ZL201310233516.6, 已授权

(3)施云惠，齐娜，尹宝才，一种二维合成稀疏模型和基于该模型的字典训练方法，ZL201310222046.3, 已授权

(4)施云惠，齐娜，尹宝才，丁文鹏，一种基于二维分析稀疏模型及其训练字典的图像重建方法，ZL201210433389.X , 已授权

(5)施云惠，齐娜，荆国栋，一种超分辨率稀疏重建方法，ZL 201210159943.X, 已授权

(6)施云惠，霍莉杰，齐娜，丁文鹏，尹宝才，一种基于小波域结构和非局部分组稀疏的MR图像重建方法, ZL201710142054.5, 已授权

(7) 施云慧，李敬华，文波，齐娜，一种基于预测的三维网格编码方法，ZL201210078435.9，已授权

(8)齐娜，施云惠，尹宝才，一种多维信号的稀疏模型、重建方法和字典训练方法, 201610474921.0

(9)朱青，沈扬，齐娜，李蔚然，一种基于三维元胞自动机的风化现象模拟方法, 20191057577.3

（10）朱青，李琨，齐娜，一种基于数据驱动的流体模拟方法，202010241300.4

（11）尹宝才,李煜聪,施云惠,齐娜,一种编码立方体投影格式的自适应QP调整方法,202010154990.X

获奖情况

2019年指导本科毕业设计（论文）获评2019年北京市普通高校优秀本科毕业设计（论文），优秀指导老师

2019年指导本科生毕业论文获北京工业大学本科特优毕业设计（论文）

2019年北京工业大学立德树人优秀班主任

2020年第八届全国大学生数字媒体科技作品及创意竞赛全国总决赛二等奖、全国总决赛三等奖指导老师

联系方式

Email:qina@bjut.edu.cn

办公电话：010-67396598-805