计算机科学与工程学院


 
导师代码: 11277
导师姓名: 陈娟
性    别:
特    称:
职    称: 副教授
学    位: 哲学博士学位
属    性: 专职
电子邮件: chenjuan @ uestc.edu.cn

学术经历:   2009年7月于英国University of Bradford获计算机方向博士学位。2009年7月-9月,在英国University of Bradford 的Digital Media and System Research Institute,担任研究助理。2009年10月-2012年6月任电子科技大学讲师。2012年7月-至今任电子科技大学计算机科学与工程学院副教授,极限网络计算与服务实验室成员。2008年9月至2009年4月,在英国University of Bradford担任教学助理。

个人简介:   英国University of Bradford获计算机博士,现任电子科技大学计算机科学与工程学院副教授,极限网络计算与服务实验室成员。担任国际期刊International Journal of Biometrics and Bioinformatics的编委,2011、2012、2013年,分别担任EI检索的IEEE国际会议The International Congress on Image and Signal Processing and the International Conference on BioMedical Engineering and Informatics的大会程序委员会委员。2006年-2009年获欧盟科研项目提供的博士生全额奖学金。2011年获计算机科学与工程学院教学优秀。主要研究方向为:图像处理、视频处理、模式识别,机器学习,以其在云计算环境中的应用。

科研项目:   主持国家自然科学基金项目1项,主持中央高校基本科研业务费1项,主研国家自然科学基金面上项目2项,主持教改项目4项。资助总金额近130万。

研究成果:  

发表论文30篇,其中期刊论文7篇和会议论文23篇(含3篇SCI和19篇EI)

期刊

[1] J. Chen, J. Ren and J. Jiang, “Modelling of content-aware indicators for effective determination of shot boundaries in compressed MPEG videos”, Multimedia Tools and Applications, Springer, vol. 54, no. 2, pp.219-239, 2011. (SCI)

[2] J. Ren, J. Jiang and J. Chen, “Shot Boundary Detection in MPEG Videos using Local and Global Indicators,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 19, no. 8, pp. 1234-1238, 2009. (SCI)

[3] J. Ren, J. Jiang, J. Chen and S.S. Ipson “Extracting objects and events from MPEG videos for highlight-based indexing and retrieval,” Journal of Multimedia, vol. 5, no. 2, pp. 95-103, 2010.

会议

[4] M. E. Celebi, Q. Wen, and J. Chen, “Color Quantization Using C-Means Clustering Algorithms,” in Proc. IEEE Int. Conf. on Image Processing (ICIP 2011), pp. 1729-1732, 2011.

[5] J. Chen, “Detection of Video Copies based on Robust Descriptors”, IEEE International Conference on Apperceiving Computing and Intelligence Analysis (ICACIA), pp.303-306, 2010.

[6] J. Chen, “Annotation of Fighting Scenes with Moving and Changing Backgrounds”, IEEE International Conference on Apperceiving Computing and Intelligence Analysis (ICACIA), pp.271-274, 2010.

[7] J. Chen, S.S. Ipson and J. Jiang, “A Fuzzy Logic Method of Feature Representation for Shot Boundary Detection,” 2009 IEEE International Conference on Image Processing (ICIP), vol. 2, pp. 4337-4340, 2009.

[8] J. Chen, Q. Wen, C. Zhuo, and M. Mete, “Extraction of Color Entropy Sequence for Micro-vessel Detection in Virtual Slide,” IEEE International Congress on Image and Signal Processing, pp. 871-875, 2012.

[9] J. Chen, Q. Wen, W. Qu, and M. Mete, “Panda Facial Region Detection Based on Topology Modelling,” IEEE International Congress on Image and Signal Processing, pp. 911-915, 2012.

[10] J. Chen, Q. Wen, C. Zhuo, and M. Mete “Automatic Head Detection for Passenger Flow Analysis in Bus Surveillance Videos,” IEEE International Congress on Image and Signal Processing, pp. 143-147, 2012.

[11] J. Chen, Q. Wen, C. Zhuo, and M. Mete, “A Novel Approach Towards Head Detection of Giant Pandas in the Free-Range Environment,” IEEE International Congress on Image and Signal Processing, pp. 814-818, 2012.

[12] J. Chen, Q. Wen, Z. Pang, and M. Mete, “An Effective Approach Towards Color Image Segmentation for Micro-Vessel Detection,” IEEE International Conference on Computational Problem-Solving, pp. 59-63, 2012.

[13] J. Chen, Q. Wen, C. Zhuo, and M. Mete, “Pose Recognition of Giant Pandas Based on Gradient Shapes,” IEEE International Conference on Computational Problem-Solving, pp. 358-362, 2012.

[14] M. Mete, J. Chen, Q. Wen, and X. Liu, “Color Region Annotation for Microvessel Density Estimation,” IEEE International Conference on Wavelet Active Media Technology and Information Processing, pp. 145-148, 2012.

[15] Q. Wen, W. Qu, J. Chen, and M. Mete, “A Novel Method for Counting Subcellular Structures Labeled by Green Fluorescent Protein,” IEEE International Conference on Computational Problem-Solving, pp. 500-503, 2012.

[16] Q. Wen, J. Chen, and W. Liu, “Biologically Inspired Classification of Microvessel Histopathology via Sparse Coding,” accepted to IEEE International Conference on Advanced Computational Intelligence, 2013.

[17] Q. Wen, J. Chen, and W. Liu, “A Predictive Coding Approach on Microvessel Identification via Single-Opponent Signal,” accepted to IEEE International Congress on Image and Signal Processing, 2013.

[18] Q. Wen, J. Chen, and W. Liu, “Quantitative Analysis on Mobility Behaviors of Fluorescent Marker Proteins Using Graph Model,” accepted to IEEE International Congress on Image and Signal Processing, 2013.

[19] D. Ming, Q. Wen, J. Chen, and W. Liu, “A Generalized Fusion Approach for Segmenting Dermoscopy Images Using Markov Random Field,” accepted to IEEE International Congress on Image and Signal Processing, 2013.

[20] Q. Wen, D. Ming, and J. Chen, “A Novel Fusion Approach for Segmenting Dermoscopy Image Based on Region Consistency,” accepted to IEEE International Conference on Computational Problem-Solving, 2013.

[21] D. Ming, Q. Wen, J. Chen, and W. Liu, “A Superpixel Based Post-Processing Approach for Segmenting Dermoscopy Images,” accepted to IEEE International Conference on Advanced Computational Intelligence, 2013.

[22] J. Ren, J. Chen, J. Jiang, and S.S. Ipson, “Knowledge-based segmentation and semantic contents extraction from MPEG videos,” 5th International Conference on Visual Information Engineering, VIE 2008, pp. 533-538, 2008. Inspec

[23] J. Ren, J. Chen, J. Jiang and S.S. Ipson, “Knowledge-Supported Segmentation and Semantic Contents Extraction from MPEG Videos for Highlight-Based Annotation, Indexing and Retrieval,” 4th International Conference on Intelligent Computing, ICIC 2008, Lecture Notes in Computer Science. The 4th International Conference on Intelligent Computing, pp. 258-265, China, 2008. (EI检索) EI

[24] J. Jiang, Z. Li, G. Xiao and J. Chen, “Real-time shot-cut detection in a compressed domain,” Journal of Electronic Imaging, SPIE, vol. 16, no. 4, pp. (043011)1-6, 2007. (SCI检索) SCI

[25] J. Chen and J. Jiang, “University of Bradford at TRECVID 2008: Content Based Copy Detection Task”, TREC Video Retrieval Evaluation On-line Proceedings, 2008.

[26] J. Chen, J. Ren and J. Jiang, “Compressed-Domain Shot Boundary Detection using Finite State Machine and Content-based Rules,” 2007 Asia-Pacific Workshop On Visual Information Processing, Taiwan. pp. 137-142, 2007.

[27] J. Ren, J. Jiang and J. Chen, “Determination of Shot Boundary in MPEG Videos for TRECVID 2007,” TREC Video Retrieval Evaluation On-line Proceedings, 2007.

教学论文

[28] 陈娟, 文振宇, 李志强, 李天鹏. 快速手势识别的实验设计. 实验科学与技术, 9(6): 34-36, 2011.(核心期刊)

[29] 陈娟,ACM 程序设计竞赛探讨,实验科学与技术,8(6):128-129,2010.

[30] 陈娟,视频镜头边界检测的实验设计,实验科学与技术,8(2):57-59,2010.


专业研究方向:  
专业名称 研究方向 招生类别
081200计算机科学与技术 02机器智能与模式识别 硕士
081200计算机科学与技术 03数字媒体技术 硕士
081200计算机科学与技术 06云计算与大数据处理 硕士


学院列表
01  信息与通信工程学院
02  电子科学与工程学院
03  材料与能源学院
04  机械与电气工程学院
05  光电科学与工程学院
06  自动化工程学院
07  资源与环境学院
08  计算机科学与工程学院
09  信息与软件工程学院
10  航空航天学院
11  数学科学学院
12  物理学院
13  医学院
14  生命科学与技术学院
15  经济与管理学院
16  公共管理学院
17  外国语学院
18  马克思主义学院
21  基础与前沿研究院
22  通信抗干扰技术国家级重点实验室
23  电子科学技术研究院
28  深圳高等研究院