研究领域
计算智能及其在模式识别、图像处理、天文大数据、软件可靠性工程等方面的应用
承担科研情况
1. “稀疏表示和正则化方法在图像语义分析中的应用研究”（批准号：61375045）负责人，
起止年月：2014.1-2017.12,
经费总数：80.0万,
项目来源：国家自然科学基金面上项目.
2. “二维光纤光谱快速抽谱方法研究”（批准号：4142030）负责人，
起止年月：2014.1-2016.12,
经费总数：18.0万,
项目来源：北京市自然科学基金面上项目
近期论文
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代表性学术成果
1) Locality-constrained Low-rank Coding for Image Classification. Ziheng Jiang, Ping Guo, Lihong Peng, The Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14), Québec, Canada, July, 2014.
2) Supervised Topic Regression via Experts. Song Lin, Ping Guo and Xin Xin. 2014 International Joint Conference on Neural Networks (IJCNN) July 6-11, 2014, Beijing, China.
3) Texture Superpixels Merging by Color-texture Histograms for Color Image Segmentation. Haifeng Sima, Ping Guo, TIIS 8(7): 2400-2419, 2014.
4) Image Fusion by Hierarchical Joint Sparse Representation, Y. Yao, P. Guo, X. Xin, and Z. Jiang, Cognitive Computation, vol. 6, no. 3, pp. 281-292, 2014/09/01, 2014.
5) 基于多核集成学习的支持向量机在软件开发早期中的缺陷预测. 张浥楠，郭平. 第八届全国测试学术会议CTC2014，武汉, 2014.
6) Texture Region Merging with Histogram Feature for Color Image Segmentation. Haifeng Sima, Ping Guo. 9th International Conference on Computational Intelligence and Security (CIS), 2013.
7) Learning Open-domain Comparable Entity Graphs from User Search Queries. Ziheng Jiang, Lei JI, Jianwen Zhang, Jun Yan, Ping Guo, Ning Liu.ACM International Conference on Information and Knowledge Management (CIKM), 2013.
8) 基于Adaboosting的产品可靠性分析方法.赵金静，张浥楠，郭平，王坦.西南科技大学学报 [J], vol. 28, no. 3, pp. 81-85, 2013.
9) Combining LVQ with SVM technique for image semantic annotation. Ping Guo, Ziheng Jiang, Song Lin, Yao Yao. Neural Computing and Applications [J]. vol. 21, no. 4, pp. 735-746, 2012
10) A completeness analysis of frequent weighted concept lattices and their algebraic properties.Sulan Zhang, Ping Guo, Jifu Zhang, Xinxin Wang, and Witold Pedrycz.Data & Knowledge Engineering [J], vol.81-82, pp. 104-117, 2012
11) 图像语义自动标注模型及其粒度分析方法.张素兰,郭平,张继福,胡立华.自动化学报 [J], vol. 38, no. 5, pp. 688-697, 2012.
12) OMP or BP? A Comparison Study of Image Fusion Based on Joint Sparse Representation.Yao Yao, Xin Xin, Ping Guo.International Conference on Neural Information Processing, pp. 75-82, 2012.
13) Color Image Segmentation Based on Regional Saliency.Haifeng Sima, Lixiong Liu, Ping Guo.International Conference on Neural Information Processing, pp. 142-150, 2012.
14) A study of block-global feature based supervised image annotation.Jing He, Ziheng Jiang, Ping Guo, Lixiong Liu.IEEE International Conference on Systems, Man, and Cybernetics, pp. 971-976, 2011.
15) Color Image Segmentation Based on Blocks Clustering and Region Growing.Haifeng Sima, Lixiong Liu, Ping Guo.International Conference on Neural Information Processing, 2011.
16) Scale estimate of self-organizing map for color image segmentation. Haifeng Sima, Ping Guo, Lixiong Liu. IEEE International Conference on Systems, Man, and Cybernetics, 2011.
17) 基于信息熵和偏差的加权概念格内涵权值获取. 张素兰，郭平，张继福.北京理工大学学报(自然科学版), 2011, (1):59-63.
18) 一种基层类层次和系统层次的面向对象软件复杂性度量集.李大鹏，陈新宇，郭平. 第六届中国测试学术会议论文集, 2010.
19) Feature data optimization with LVQ technique in semantic image annotation.Ziheng Jiang, Jing He, Ping Guo. International Conference on Intelligent Systems Design and Applications, 2010: 906-911.
20) Software Defect Prediction Using Fuzzy Support Vector Regression.Zhen Yan, Xinyu Chen, Ping Guo. International Symposium on Neural Networks , 2010, pp. 17-24.
21) Speed Up Image Annotation Based on LVQ Technique with Affinity Propagation Algorithm.Song Lin, Yao Yao, Ping Guo. International Conference on Neural Information Processing, 2010.
22) A Batch Constructing Method of Weighted Concept Lattice Based on Deviance Analysis.Sulan Zhang, Ping Guo, Jifu Zhang, and Xinxin Wang.Proceedings of International Conference on Computational Intelligence and Security (CIS2009),pp.69-73, (Dec.11~14, Beijing, China), 2009. (EI: 20101112769067).
23) Iris Image Analysis Based on Affinity Propagation Algorithm.Huabiao Xiao, and Ping Guo. Sixth International Symposium on Neural Networks (ISNN 2009), LNCS 5552, pp. 943-949, (May 26-29, Wuhan, China), 2009.(EI: 20093712304006)(ISTP: 000268028700107).
24) Iris Feature Extraction Based on the Complete 2DPCA.Xiuli Xu, and Ping Guo. Sixth International Symposium on Neural Networks (ISNN 2009),LNCS 5552, pp. 950–958, (May 26-29, Wuhan, China), 2009. (EI: 20093712304007)(ISTP: 000268028700108) .
25) Experimental Study of Discriminant Method with Application to Fault-prone Module Detection.Gege Guo, and Ping Guo. Proceedings of International Conference on Computational Intelligence and Security (CIS), pp.204-209, (Dec.13~17, Suzhou SIP, China), 2008.(EI: 20090911922026).
26) Ant Colony Optimization algorithm for remote sensing image classification using combined features.Qing Song, Ping Guo, and Yunde Jia. Proceedings of the Seventh International Conference on Machine Learning and Cybernetics ( ICMLC 2008),, vol.6, pp.3478~3483, July 12~15, Kunming, China, 2008. (EI:090111824548)（ISTP: 000259604902073）.
27) A Study of Regularized Gaussian Classifier in High-Dimension Small Sample Set Case Based on MDL Principle with Application to Spectrum Recognition. Ping Guo, Yunde Jia, and Michael R. Lyu. Pattern Recognition, Vol. 41, No.9, pp.2842~2854, 2008. (SCI: 000257581000009)(EI:082311300851).
28) An Improved Relaxation Algorithm for Image Matching. Jie Chen, Ping Guo. Proceedings of the 2008 International Congress on Image and Signal Processing, Vol.3, pp.484~488, (May 27~30, Sanya, China), 2008. (EI: 083911598781), (ISTP: 000258872400135).
29) 基于RBF网络图像表示的CT重建算法研究.郭平，胡明. 《电子学报》，Vol.35 , no.6 pp.1183~1186，2007。(EI: 073110726098).
30) Blind Image Restoration By Combining Wavelet Transform and RBF Network. Ping Guo, HongZhai Li, and Michael R. Lyu.International Journal of Wavelets, Multiresolution and Information Processing (IJWMIP), Vol. 5, No.11, pp.15~26, 2007. (SCI : 000250844100003)（EI：070410383191）.
31) 《软件可靠性工程中的计算智能方法》，郭平 编著，科学出版社，北京，2012.5（ISBN978-7-03-034131-0）.
32) 软件名称：基于混合专家模型的软件可靠性评估工具软件 [简称MESRET]V1.0. 完成人：郭平、王少华、郝文娟等,著作权人：北京理工大学,登记号：2009SR026210,开发完成日期：2009年3月15日，首次发表日期：未发表. 计算机软件著作权登记证书 编号：软著登字第0153209号，2009-7-4）.
33) 发明创造名称：一种基于秩最小化的多标签图像标注结果融合方法. 发明人：郭平、姚垚、辛欣,申请人或专利权人：北京理工大学,申请号或专利号：201310375976.2.
34) 发明创造名称：一种基于混合专家网络的产品可靠性评估方法. 发明人：郭平，王坦，赵金静，张文耀，申请人或专利权人：北京理工大学,申请号或专利号： 201310421073.3.
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