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.