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福州大學(xué)數(shù)學(xué)與計(jì)算機(jī)科學(xué)學(xué)院計(jì)算機(jī)圖形學(xué)與多媒體/人工智能研究生導(dǎo)師牛玉貞介紹如下：

基本信息

姓名 牛玉貞

職稱 教授 

職務(wù) 博士生導(dǎo)師 

主講課程 人機(jī)交互技術(shù)（本科生），數(shù)字視頻處理（研究生） 

研究方向 2D&3D圖像和視頻處理、多媒體、計(jì)算機(jī)視覺(jué)、圖形學(xué)、人機(jī)交互、智能系統(tǒng) 

辦公室 數(shù)計(jì)學(xué)院2號(hào)樓410 

電子郵件  yuzhenniu@gmail.com

個(gè)人簡(jiǎn)介

牛玉貞，女，1982年7月出生，博士，“閩江學(xué)者”特聘教授，博士生導(dǎo)師，福建省青年拔尖創(chuàng)新人才，福建省新媒體行業(yè)技術(shù)開(kāi)發(fā)基地主任。畢業(yè)于山東大學(xué)計(jì)算機(jī)科學(xué)與技術(shù)學(xué)院計(jì)算機(jī)軟件與理論專(zhuān)業(yè)。在美國(guó)威斯康星大學(xué)-麥迪遜分校計(jì)算機(jī)系進(jìn)行了兩年的學(xué)習(xí)和科學(xué)研究工作。在美國(guó)波特蘭州立大學(xué)計(jì)算機(jī)系完成了兩年的博士后工作。2013年晉升教授職稱并入選福建省“閩江學(xué)者”特聘教授，2015年獲得福建省自然科學(xué)基金杰青項(xiàng)目，2016年入選福建省青年拔尖創(chuàng)新人才，2016年獲得福州大學(xué)第五屆“杰出青年教師勵(lì)志獎(jiǎng)”。

主要從事2D&3D圖像和視頻處理、計(jì)算機(jī)圖形學(xué)、計(jì)算機(jī)視覺(jué)、多媒體、智能信息處理、人機(jī)交互等領(lǐng)域的研究工作，從事的研究課題包括圖像和視頻適應(yīng)、立體三維圖像處理、多媒體質(zhì)量評(píng)估、媒體顯著度分析和視頻交互等。在若干國(guó)際頂級(jí)期刊和會(huì)議上發(fā)表論文，包括ACM Transactions on Graphics、IEEE Transactions on Multimedia、IEEE Transactions on Circuits and Systems for Video Technology、IEEE Transactions on Cybernetics、IEEE Transactions on Parallel and Distributed Systems、Neural Networks、SIGGRAPH ASIA、IEEE CVPR、IEEE ICCV、ACM CHI、IJCAI等，共計(jì)發(fā)表和錄用論文40多篇，獲得一項(xiàng)美國(guó)專(zhuān)利。2013年獲得國(guó)際頂級(jí)會(huì)議ACM CHI最佳論文提名獎(jiǎng)。近5年主持主要項(xiàng)目7項(xiàng)，包括福建省閩江學(xué)者獎(jiǎng)勵(lì)計(jì)劃項(xiàng)目、國(guó)家自然科學(xué)基金面上項(xiàng)目、福建省青年拔尖創(chuàng)新人才項(xiàng)目、福建省自然科學(xué)基金杰青項(xiàng)目、國(guó)家自然科學(xué)基金青年科學(xué)基金項(xiàng)目、福建省自然科學(xué)基金面上項(xiàng)目和福州大學(xué)科研啟動(dòng)項(xiàng)目各1項(xiàng)。

招生信息

2016年和2017年培養(yǎng)的碩士研究生3人次獲得國(guó)家獎(jiǎng)學(xué)金，2人次獲得福州大學(xué)優(yōu)秀畢業(yè)研究生。培養(yǎng)的碩士研究生多人次獲得各種競(jìng)賽獎(jiǎng)勵(lì)。

招收碩士、博士和具有保研資格的本科生。我熱切希望招收和指導(dǎo)具有強(qiáng)烈積極進(jìn)取愿望、能夠踏實(shí)勤奮努力學(xué)習(xí)、懂得團(tuán)隊(duì)合作共贏并樂(lè)于幫助他人、富有探索和創(chuàng)新精神的同學(xué)，并致力于通過(guò)細(xì)致有效的認(rèn)真指導(dǎo)快速提升大家的科研能力，并在此過(guò)程中實(shí)現(xiàn)教學(xué)相長(zhǎng)，與同學(xué)們一起學(xué)習(xí)、共同進(jìn)步。請(qǐng)感興趣的同學(xué)通過(guò)郵件聯(lián)系我。

 主持的主要科研項(xiàng)目

1.國(guó)家自然科學(xué)基金面上，與主觀感知一致的立體圖像和視頻視覺(jué)質(zhì)量客觀評(píng)價(jià)與增強(qiáng)研究，直接經(jīng)費(fèi)60萬(wàn)，主持，2017.1--2020.12

2.福建省青年拔尖創(chuàng)新人才項(xiàng)目，主持，50萬(wàn)元

3.“閩江學(xué)者獎(jiǎng)勵(lì)計(jì)劃”項(xiàng)目，100萬(wàn)，主持，2014.11—2017.11

4.福建省自然科學(xué)基金杰青項(xiàng)目，基于顯著性的3D圖像視覺(jué)質(zhì)量評(píng)估與增強(qiáng)研究，25萬(wàn)，主持，2015J06014，2015.4—2018.4

5.國(guó)家自然科學(xué)基金青年基金，保持全局形狀和視覺(jué)舒適度的2D和3D媒體適應(yīng)方法研究，25萬(wàn)，主持，61300102，2014.1—2016.12

6.福建省自然科學(xué)基金面上項(xiàng)目，增強(qiáng)視覺(jué)質(zhì)量的立體圖像處理關(guān)鍵技術(shù)研究，5萬(wàn)，主持，2014J01233，2014.1—2016.12

代表性論文

*代表通訊作者，+代表本人所培養(yǎng)的學(xué)生

1. Yuzhen Niu,  Haifeng Zhang+, Wenzhong Guo, and Rongrong Ji, Image Quality Assessment for Color Correction based on Color Contrast Similarity and Color Value Difference,  IEEE Transactions on Circuits and Systems for Video Technology, 2016 (已錄用，SCI源刊)

2. Yuzhen Niu, Jianer Chen+, Whenzhong Guo, Meta-Metric for Saliency Detection Evaluation Metrics based on Application Preference, Multimedia tools and applications, 2018 (已錄用，SCI源刊)

3. Yuzhen Niu, Wenqi Lin+, Xiao Ke, Clustering and Fitting-based Optimization for Saliency Detection, IET Computer Vision, 2018 (已錄用，SCI源刊)

4. Xiao Ke, Mingke Zhou, Yuzhen Niu*, Wenzhong Guo, Data Equilibrium based Automatic Image Annotation by Fusing Deep Model and Semantic Propagation, Pattern Recognition, v 71, p 60-77, 2017.11. (SCI, EI)

5. Yuzhen Niu, Wenqi Lin+, Xiao Ke, Lingling Ke, Fitting-based Optimization for Image Visual Salient Object Detection, IET Computer Vision, v 11, n 2, p 161-172 (2017.3). (SCI, EI)

6. Yuzhen Niu,   Lening Lin+,   Yuzhong Chen*,   Lingling Ke, Machine Learning-based Framework for Saliency Detection in Distorted Images, Multimedia Tools and Applications, v 76, n 24, p 2 63 2 9-2 63 53 (2017.12). (SCI, EI)

7. Yuzhen Niu, Lingling Ke+, Wenzhong Guo*, Evaluation of Visual Saliency Analysis Algorithms in Noisy Images, Machine Vision and Application, 27(6): 915-927 (2016). (SCI源刊, EI)

8. Wenzhong Guo, Xiaolong Sun, Yuzhen Niu*: Multi-scale Saliency Detection via Inter-regional Shortest Colour Path. IET Computer Vision, 9(2): 290 –299, 2015. (SCI, 影響因子0.963, EI)

9. Yuzhen Niu, Feng Liu, and Wu-chi Feng. Enabling Warping on Stereoscopic Images. ACM Transactions on Graphics, 31(6): 183:1-183:7, November 2012 (ACM SIGGRAPH ASIA 2012). (SCI, 影響因子4.096, EI)

10. Yuzhen Niu and Feng Liu. What Makes a Professional Video? A Computational Aesthetics Approach, IEEE Transactions on Circuits and Systems for Video Technology, 22(7): 1037-1049, July 2012. (SCI, 影響因子2.615, EI)

11. Yuzhen Niu, Feng Liu, Wu-chi Feng, and Hailin Jin. Aesthetics-based Stereoscopic Photo Cropping for Heterogeneous Displays, IEEE Transactions on Multimedia, 14(3-2): 783-796, June2012. (SCI, 影響因子2.303, EI)

12. Yuzhen Niu, Feng Liu, Xueqing Li, and Michael Gleicher. Image Resizing via Non-homogeneous Warping. Multimedia Tools and Applications, Vol. 56, Issue 3, 2012: 485-508.  (SCI, EI)

13. Yuzhen Niu, Yujie Geng, Xueqing Li, and Feng Liu. Leveraging Stereopsis for Saliency Analysis. The Twenty-fifth IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR 2012), Providence, RI, USA, June 2012. pp. 454-461. (EI, CCF rank A conference, acceptance rate 24%)

14. Yuzhen Niu, Feng Liu, Xueqing Li, and Michael Gleicher. Warp Propagation for Video Resizing. The Twenty-third IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR 2010), San Francisco, California, USA, June 2010. pp. 537-544. (EI, CCF rank A conference, acceptance rate 26.8%)

15. Wenzhong Guo, Jie Li,  Guolong Chen, Yuzhen Niu, and Chengyu Chen: A PSO-optimized Real-time Fault-tolerant Task Allocation Algorithm in Wireless Sensor Networks. IEEE Transactions on Parallel and Distributed Systems, 26(12): 3236-3249, DEC 2015. (SCI, 影響因子2.170, EI)

16. Genggeng Liu, Xing Huang, Wenzhong Guo, Yuzhen Niu, Guolong Chen: Multilayer Obstacle-Avoiding X-Architecture Steiner Minimal Tree Construction Based on Particle Swarm Optimization. IEEE T. Cybernetics, 45(5): 989-1002, MAY 2015. (SCI, 影響因子3.469, EI)

17. Xing Huang, Genggeng Liu, Wenzhong Guo, Yuzhen Niu, Guolong Chen: Obstacle-Avoiding Algorithm in X-Architecture Based on Discrete Particle Swarm Optimization for VLSI Design. ACM Trans. Design Autom. Electr. Syst. 20(2): 24:1-24:28, 2015. (SCI, 影響因子0.686, EI)

18. Yang Liu, Xueqing Li, Lei Wang, Yuzhen Niu: Interpolation-tuned Salient Region Detection. SCIENCE CHINA Information Sciences 57(1): 1-9, 2014. (SCI, 影響因子0.850, EI)

19. Yang Liu, Xueqing Li, Lei Wang, Yuzhen Niu, Feng Liu: Oscillation Analysis for Salient Object Detection. Multimedia Tools Appl. 68(3): 659-679, 2014. (SCI, 影響因子1.346, EI)

20. Shangping Zhong, Tianshun Chen, Fengying He, Yuzhen Niu: Fast Gaussian Kernel Learning for Classification Tasks based on Specially Structured Global Optimization. Neural Networks, 57: 51-62, 2014. (SCI, 影響因子2.708)

21. Cuong Nguyen, Yuzhen Niu, and Feng Liu. Direct Manipulation Video Navigation Video in 3D. ACM SIGCHI Conference on Human Factors in Computing Systems (ACM CHI 2013), Paris, France, April 2013. (最佳論文提名獎(jiǎng), 中國(guó)計(jì)算機(jī)學(xué)會(huì)A類(lèi)會(huì)議, EI, 錄取率20%)

22. Long Mai, Yuzhen Niu, and Feng Liu. Saliency Aggregation: A Data-driven Approach.The Twenty-sixth IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR 2013), Portland, OR, June 2013. (中國(guó)計(jì)算機(jī)學(xué)會(huì)A類(lèi)會(huì)議, EI)

23. Feng Liu, Yuzhen Niu, and Hailin Jin. Casual Stereoscopic Photo Authoring, IEEE Transactions on Multimedia, 15(1):129-140, 2013. (SCI, 影響因子2.303, EI)

24. Cuong Nguyen, Yuzhen Niu, and Feng Liu. Video Summagator: An Interface for Video Summarization and Navigation. ACM SIGCHI Conference on Human Factors in Computing Systems (ACM CHI 2012), Austin, TX, April 2012. pp. 647-650. (EI, CCF rank A conference, acceptance rate 23%)

25. Mai Long, Hoang Le, Yuzhen Niu, andFeng Liu. Rule of Thirds Detection from Photograph. IEEE ISM 2011, Dana Point, CA, USA, December 2011.  pp.91-96.（EI）