郭平，男，教授，博士生导师，IEEE 高级会员。1983年毕业于北京大学物理系，获硕士学位，2001年毕业于香港中文大学计算机科学与工程系，获博士学位。1993 -1994在美国莱特州立大学计算机科学与工程系访问。2000年5月-2000年8月在中科院自动化所模式识别国家重点实验室访问。近年来主持了国家自然科学基金和国家“863”高技术课题子项目、教育部留学回国人员科研启动基金、模式识别国家重点实验室课题等项目。到目前为止已经在国际国内重要学术期刊和会议上发表论文九十余篇，其中96年以来发表的论文中被三大检索系统（SCI,EI,ISTP）索引30篇，涉及的领域主要为人工神经网络理论及其在模式识别、图像处理、软件可靠性工程、光谱分析和智能信息处理等方面的应用。
部分论文：

P. Guo and Michael R. Lyu, "A Pseudoinverse Learning Algorithm for Feedforward Neural Networks with Stacked Generalization Application to Software Reliability Growth Data", Neurocomputing, 2004, vol.56, pp.101-121.(SCI-E)
郭 平, “应用RBF神经网络进行超分辨率图像重建”，第十三届全国神经计算学术会议文集, pp.560-563, （青岛，2003，11月13-15日），人民邮电出版社，2003。
Ling BAI, ZhenBo LI, and Ping GUO, “Classification of Stellar Spectral Data Based on Kalman Filter and RBF Neural Networks”, IEEE International Conference on System, Man and Cybernetics, . (SMCC’03, Washington DC), pp. 274-279, 2003. (EI, ISTP)
郭 平, 覃冬梅, 胡占义, 杜为民, “一种光谱识别的新方法”, 光谱学与光谱分析 , Vol.23, No.4，pp.811-815, 2003. (SCI-E)
Dong-Mei Qin, Ping Guo, Zhan-Yi Hu and Yong-Heng Zhao, "Automated separation of stars and normal galaxies Based on Statistical Mixture Modeling with RBF Neural Networks", Chinese Journal of Astronomy and Astrophysics, 2003. Vol.3, No.3, pp.277-286.(SCI-E)
Xi WANG, Fei XING, and Ping GUO, “Comparison of Discriminant Analysis Methods applied to Stellar Data”, SPIE Proceedings, Vol. 5268, pp.758-763, (MIPPR’03, Beijing), 2003.(ISTP)
P. Guo, M.R. Lyu and C.L.P. Chen, "Regularization Parameter Estimation　for Feedforward Neural Networks ", IEEE Trans. on Systems, Man, and Cybernetics, Part B, Vol. 33, No.1, pp.35-44, 2003.(SCI)
郭平、覃冬梅、胡占义、杜为民, “基于组合网络的光谱识别”, 第十二届全国神经计算学术会议文集， pp.724-729, （北京，2002，12月13-15日），人民邮电出版社，2002。
郭平，卢汉清, “贝叶斯概率图像自动分割研究”，光学学报，Vol.22, No.12, pp.1479-1483, Dec. 2002。(EI)
郭平，“贝叶斯概率图像分割中混合模型参数高效计算的研究”，计算机科学，第29卷，第8期, pp101-103, 2002.
P. Guo, C.L.P. Chen　and M.R. Lyu, "Cluster Number Selection for a Small Set of Samples Using the Bayesian Ying-Yang Model", IEEE Transactions on Neural Networks, Vol.13, No.3, pp.757 –763, 2002. (SCI)
郭平，卢汉清，杜为民，“对拉曼光谱信号分类的模式识别”，电子与信息学报(电子科学学刊) Vo1.24, No.6, pp.789-792，2002。(EI)
P. Guo, and Michael R. Lyu, "A Case Study on Stacked Generalization with Software Reliability Growth Modeling Data", in Proceedings of the 8th International Conference on Neural Information Processing (ICONIP’2001), Vol. III, pp3763-3769, ShangHai, P.R.China, November 14-18, 2001. （ISTP）
李勇、郭平，“Sigmoid传输函数与三层前馈神经网络的映射能力”，北京师范大学学报(自然科学版)，第37卷，第5期, pp569-573, 2001.
P. Guo, and Michael R. Lyu, " A New Approach to Optical Multilayer Learning Neural Network", Proceedings of the 2001 International Conference on Artificial Intelligence (IC-AI"2001), Vol. 1, pp426-432, 2001. (ISTP）
P. Guo, and Michael R. Lyu, "Pseudoinverse Learning Algorithm for Feedforward Neural Networks", Advances in Neural Networks and Applications (NNA"01), N.E.Mastorakis Eds., WSES Press (Athens) pp.321-326, Puerto De La Cruz, Tenerife, Canary Islands, Spain, February 11-15, 2001.
P. Guo and Michael R. Lyu, "Software Quality Prediction using Mixture Model with EM algorithm", in Proceedings of the First Asia-Pacific Conference on Quality Software (APAQS 2OOO), pp69-78, ed. by T.H.Tse & T.Y.Chen, IEEE Computer Society (Los Alamitos, CA), Hong Kong, October 3O-31, 2OOO. （ISTP）
P. Guo and Michael R. Lyu, "A Study on Color Space Selection for Determining Image Segmentation Region Number", Proceedings of the 2000 International Conference on Artificial Intelligence (IC-AI"2000), Vol.III, pp1127-1132, June 26-29, 2000, Monte Carlo Resort, Las Vegas, Nevada, USA.(ISTP)
P. Guo and Michael R. Lyu, "Classification for High-Dimension Small-Sample Data Sets Based on Kullback-Leibler Information Measure", Proceedings of the 2000 International Conference on Artificial Intelligence (IC-AI"2000), Vol.III, pp1187-1193, June 26-29, 2000, Monte Carlo Resort, Las Vegas, Nevada, USA.(ISTP)
P. Guo and C.L.P. Chen , "Regularization Parameter Estimation Based on the BKYY Data Smoothing Theory for Feedforward Nets ", Proceedings of Artificial Neural Network in Engineering (ANNIE’2000), pp51-56, November 5-8, 2000, Marriott Pavilion Hotel, St. Louis, Missouri, USA. (Awarded Second Runner Up ).
P. Guo and C.L.P. Chen , "A New Approach to Smoothing Parameter Estimation in Small Sample Set Case", Proceedings of Artificial Neural Network in Engineering (ANNIE’2000), pp147-152, November 5-8, 2000, Marriott Pavilion Hotel, St. Louis, Missouri, USA.
P. Guo, A.A.S. Awwal and C.L.P. Chen, "Dynamics of a coupled double-cavity optical interference filter", Journal of Modern Optics, Vol. 46, No.(1), pp167-174, JAN 15, 1999. (SCI)
P. Guo, et. al. , "Relationship between Mixture of Experts and Ensemble Neural Networks", Proceedings of the 6th International Conference on Neural Information Processing (ICONIP"99), Vol. I, pp246-250, Perth, Australia, November 16-20, 1999.
P. Guo, et.al. , "On the Study of BKYY Cluster Number Selection Criterion for Small Sample Data Set with Bootstrap Technique"", Proceedings of 1999 International Joint Conference on Neural Networks (IJCNN"99), Vol.I, pp965-968, Washington, DC, USA, July 10-16, 1999.(EI)
P. Guo, et.al. , "Region Number Determination in Automatic Image Segmentation Based on BKYY Model Selection Criterion", Proceedings of 1999 IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP"99), Vol.II, pp743-746, June 20-23, Antalya, Turkey, 1999. (ISTP)
P. Guo, "Averaging Ensemble Neural Networks in Parameter Space"", Proceedings of fifth international conference on neural information processing (ICONIP"98), Kitakyushu, pp486-489, 1998. （ISTP）
Z.B. Lai, P. Guo, et.al, "Comparison on Bayesian YING-YANG Theory based Clustering Number Selection Criterion with Information Theoretical Criteria"", Proceedings of IEEE International Joint Conference on Neural Networks (IJCNN"98), Anchorage, USA, Vol. I, pp725-729, 1998. （ISTP）
郭平、单锦安, “应用CCD技术改进光谱实验教学与仪器”, 物理实验, Vol.18, No.5, p16, 1998.
P. Guo, Y.G.Sun and D.H. Liu, "Image segmentation by a multilayer neural network", Proceedings SPIE, Vol. 2866, pp108-111, International Conference on Holography and Optical Information Processing (ICHOIP "96), NanJing, China, 1996. (EI)
D.H. Liu, J. Zhou and P.Guo, "New physical model for the volume hologram", Proceedings SPIE, Vol. 2866, pp160-163, International Conference on Holography and Optical Information Processing (ICHOIP "96), NanJing, China, 1996. (EI)
郭平，刘大禾，崔建生，“基于多层神经网络的非线性图像分割”，光学学报，第17卷，第1期, pp74-78, 1997。（EI）
P. Guo, C.L.P. Chen and Y.G.Sun, "AHLN Algorithm: Perfect Learning Through Data Representation", Journal of Beijing Normal University (Natural Science Edition), Vol.32 (1), pp71-75, 1996.
P. Guo, C.L.P. Chen and Y.G. Sun, "An Exact Supervised Learning for a Three-Layer Supervised Neural Network", Proceedings of the International Conference on neural Information Processing (ICONIP"95), pp1041-1044, Beijing, 1995.
　郭平老师的个人主页：http://www.cis.bnu.edu.cn/~pguo