郭骏 博士
数据科学与工程学院??????


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个人资料
研究方向
开授课程
科研项目
学术成果
荣誉及奖励







个人资料
部门： 数据科学与工程学院
毕业院校：
学位：
学历：
邮编：
联系电话： 021-6223-2362
传真： 021-6257-6192
电子邮箱： jguo@cc.ecnu.edu.cn
办公地址： 中山北路校区
通讯地址： 上海市中山北路3663号

教育经历

工作经历

个人简介

社会兼职
目前担任IEEE Transcations on Neural Networks‚ IEEE Transactions on Systems‚ Man‚ and Cybernetics--Part B: Cybernetics‚ Soft Computing‚ IACSIT conferences‚ International Symposium on Neural Networks审稿人。担任International Journal of Computer Theory and Engineering编辑。曾担任The 2nd International Conference on Computer Modeling and Simulation (ICCMS 2010)‚ The 2010 International Conference on Mechanical‚ Industrial‚ and Manufacturing Technologies (MIMT 2010)会议监督主席。


研究方向
非线性回路理论‚神经网络‚支持向量机‚优化理论‚强化学习

开授课程


科研项目


学术成果
Jun Guo‚ Youguang Chen‚ Min Zhu‚ Su Wang‚ and Xiaoping Liu‚ An Efficient Support Vector Machine Algorithm for Solving Multi-class Pattern Recognition Problems‚ Proceedings of the 2nd International Conference on Computer Modeling and Simulation‚ Jan. 2010. accepted.

Jun Guo‚ Youguang Chen‚ Su Wang‚ Xiaoping Liu‚ A Learning Approach for Fast Training of Support Vector Machines‚Proceedings of International Conference on E-Learning‚ E-Business‚ Enterprise Information Systems‚ and E-Government‚ Dec. 2009. accepted.

Jun GUO‚ Norikazu Takahashi‚ and Wenxin Hu‚ An Efficient Algorithm for Multi-class Support Vector Machines‚ Proceedings of International Conference on Advanced Computer Theory and Engineering‚ pp. 327-331‚ Dec. 2008. (EI)

Jun GUO and Norikazu TAKAHASHI‚ Global Convergence Analysis of Decomposition Methods for Support Vector Regression‚ Lecture Notes in Computer Science‚ Advances in Neural Networks – ISNN2008‚ pp. 663-673‚ Sep. 2008. (EI)

Norikazu Takahashi‚ Jun Guo‚ and Tetsuo Nishi‚ Global Convergence of SMO Algorithm for Support Vector Regression‚ IEEE Transactions on Neural Networks‚ Vol. 19‚ No. 6‚ pp. 971-982‚ June 2008. (SCI‚ EI)

郭 駿‚ 高橋 規一‚ On Global Convergence of Decomposition Methods for Support Vector Regression‚ 電子情報通信学会非線形問題研究会‚ NLP2007-96‚ pp.7-12‚ Nov. 2007.

Norikazu Takahashi‚ Masashi Kuranoshita‚ Yusuke Kawazoe‚ Jun Guo and Jun´ichi Takeuchi‚ A New Working Set Selection for Decomposition-Type SVM Learning Algorithms‚ Proceedings of International Symposium on Nonlinear Theory and its Applications‚ Sep. 2007.

Jun GUO‚ Norikazu TAKAHASHI and Tetsuo NISHI‚ A Novel Sequential Minimal Optimization Algorithm for Support Vector Regression‚ Neural Information Processing‚ PT 1‚ Proceedings Lecture Notes in Computer Science 4232: 827-836‚ Oct. 2006. (SCI‚ EI)

Jun GUO‚ Norikazu TAKAHASHI and Tetsuo NISHI‚ An Efficient Method for Simplifying Decision Functions of Support Vector Machines‚ IEICE Transactions on Fundamentals of Electronics‚ Communications and Computer Sciences‚ Vol. E89-A‚ No. 10‚ pp. 2795-2802‚ Oct. 2006. (SCI‚ EI)

Jun GUO‚ Norikazu TAKAHASHI‚ and Tetsuo NISHI‚ Convergence Proof of a Sequential Minimal Optimization Algorithm for Support Vector Regression‚ Proceedings of International Joint Conference on Neural Networks‚ pp. 747-754‚ July 2006. (EI)

郭 駿‚ 高橋 規一‚ 西 哲生‚Analysis of Convergence Property of an SMO Algorithm for Support Vector Regression‚ 電子情報通信学会非線形問題研究会‚ NLP 2006-3‚ pp. 9-14‚ May 2006.

Jun GUO‚ Norikazu TAKAHASHI‚ and Tetsuo NISHI‚ A Learning Algorithm for Improving the Classification Speed of Support Vector Machines‚ Proceedings of the 17th European Conference on Circuit Theory and Design‚ Aug. 2005. (EI)

Jun GUO‚ Norikazu TAKAHASHI‚ and Tetsuo NISHI‚ A Learning Algorithm for Enhancing the Generalization Ability of Support Vector Machines‚ Proceedings of IEEE International Symposium on Circuits and Systems‚ pp. 3631-3634‚ May 2005.

Jun GUO‚ Norikazu TAKAHASHI‚ and Tetsuo NISHI‚ Reducing the Number of Non-zero Coefficients in the Decision Function of an SVM‚ 電子情報通信学会2005総合大会‚ p. 40‚ Mar. 2005.

山口 慶太‚ 郭 駿‚ 高橋 規一‚ 西 哲生‚‚ 平成16年度電気関係学会九州支部連合大会‚ Sep. 2004.
Jun GUO‚ Norikazu TAKAHASHI‚ and Tetsuo NISHI‚ A Learning Method for Robust Support Vector Machines‚ Advances in Neural Networks – ISNN2004‚ PT 1 Lecture Notes in Computer Science 3173: 474-479‚ Aug. 2004. (SCI)
Jun GUO‚ Tetsuo NISHI‚ and Norikazu TAKAHASHI‚ An Analog Circuit for Solving a kind of Constrained Optimization Problems‚ Proceedings of International Symposium On Intelligent Signal Processing and Communication Systems‚ pp. 192-197‚ Dec. 2003.
Jun GUO and Tetsuo NISHI‚ A Consideration on Kernel Functions of Support Vector Machines‚ Proceedings of International Symposium on Information Science and Electrical Engineering‚ pp. 553-556‚ Nov. 2003.
Jun GUO‚ Tetsuo NISHI‚ and Norikazu TAKAHASHI‚ A Method for Solving Optimization Problems with Equality Constraints by Using the SPICE Program‚ IEICE Transactions on Fundaments of Electronics‚ Communication and Sciences‚ Vol.E86-A‚ No.9‚ pp.2325-2332‚ Sep. 2003. (SCI‚ EI)
郭 駿‚西 哲生‚ 高橋 規一‚ A Method for Constrained Optimization Problems by Using SPICE program‚ 電子情報通信学会非線形問題研究会‚ NLP 2002-71‚ pp. 13-18‚ Nov. 2002.
Jun GUO(郭 骏)‚ Yuji MUKUDA‚ Tetsuo NISHI‚ Solving a Kind of Optimization Problems by Using the SPICE Program‚ Proceedings of International Symposium on Nonlinear Theory and its Applications‚ pp. 395-398‚ Oct. 2002.
郭 駿‚ 緒方 将人‚ 西 哲生‚ A Method for Optimization Problems by Analog Circuits‚ 電気関係学会九州支部第55回連合大会‚ p. 403‚ Sep. 2002.


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