基本情况

王建军,博士,197612月出生,教授,重庆市数学会理事,重庆市统计学重点学科学术带头人。主持并完成国家自然科学基金天元基金,中国博士后基金、教育部科学技术重点项目各一项,主研并完成两项国家自然科学基金,两项省部级项目;现主持国家自然科学基金面上项目、国家青年科学基金和重庆市自然科学基金各一项,参与国家重点基础研究发展计划“基于视觉认知的非结构化信息处理理论与关键技术”(973项目)。曾多次应邀为 Journal of Computational and Applied MathematicsSCI期刊)、《计算机学报》、《工程数学学报》,International Conference on Natural Computation,International Symposium on Neural Networks,International Conference on Network Computing and Information Security,International Conference on Multimedia and Signal Processing等知名期刊和国际会议审稿,并多次出席相关重要国际学术会议和活动。

 

教育背景

20081月至200912   西安交通大学博士后

200612  西安交通大学理学院应用数学博士(西安交通大学优秀博士毕业生)

 

研究领域

智能计算、神经网络、压缩传感、机器学习、函数逼近论

 

论文发表

已在国际神经网络协会会刊Neural Networks、《中国科学》(信息科学)Neural computing & applications《计算机学报》、Journal of Wavelets, Multiresolution and Information Processing、《数学年刊》、Journal of System Science & ComplexityTaiwan Journal of Mathematics NeurocomputingMonatshefte fur mathematik《系统科学与数学》等知名专业期刊和国际会议上发表36篇重要学术论文(其中SCIEI检索22篇,国家权威期刊6篇)。

  1. Wang J.J, Xu Z.B, New study of neural networks: the essential order of approximation. Neural Networks, 201023618-624
  2. 王建军,徐宗本,近似指数型神经网络的本质逼近阶,《中国科学》,200636(6)579-592
  3. 王建军,徐宗本,神经网络的加权本质逼近阶,《 数学年刊》,200930A(6)741-750
  4. 王建军,徐宗本,多元多项式函数的三层前向神经网络逼近方法,《计算机学报》,200932(12)2482-2488
  5. Xu Z.B., Wang J.J., The essential order of approximation for nearly exponential neural networks. Science in China      Series F-Information Sciences,2006,49(4):446-460, Springer-Verlag.
  6. Wang J.J., Xu Z.B.,and Xu W. J., Approximation bounds by neural networks in L(w, p). Lecture Notes in Computer Science, Germany: Springer-Verlag, 2004, 3173:1-6
  7. Xu Z.B., Wang J.J., and Meng D.Y., Approximation bound of mixture networks in L(w,p) spaces. Lecture Notes in Computer Science, Germany: Springer-Verlag 2006, 3971:60-65
  8. 王建军,薛银川Baskakov算子加Jacobi权逼近及导数的正逆定理, 数学年刊,200526A(4)561-570.
  9. 王建军,薛银川Baskakov型算子加权逼近下的Stechkin-Marchand不等式,数学研究与评论200424(4)710-714
  10. Han G.D., Wang J.J., Multiple positive radial solutions of elliptic equations in an exterior domain. Monatshefte fur   mathematik,2006,148(3): 217-228
  11. 王建军,徐宗本,Baskakov算子线性组合加Jacobi权逼近及高阶导数的正逆定理,《系统科学与数学》,200828(1)30-39
  12. Wang J.J., Xue Y.C., Li F.J., Stechkin-marchaud type inequalities with Jacobi weights for Bernstein operators. Journal of Applied mathematics and computing, 2007,24(1-2):343-355
  13. Wang J.J., Xu Z.B.,  Approximation with Jacobi weights by Baskakov operators.Taiwanese Journal of Mathematics,2009,13(1):157-168
  14. Yang C.Y., Wang J.J., Yang J.S.,nd Yu G.D., Imbalanced SVM learning with margin compensation. Lecture Notes in Computer Science, Germany: Springer-Verlag, 2008,LNCS5263,636-644
  15. Wang J.J., Xu Z.B. and Jing J., Constructive approximation method of polynomial by neural networks. International conference on congnitive neurodynamics(2007), Springer Science Business Media B.V.2008,1033-1037
  16. Wang J.J., Zou B., Chen B.L., How to measure the essential approximation capability of a FNN. 2009 Fifth International Conference on Natural Computation, IEEE Computer Society,394-398.
  17. Yang C.Y., Yang J.S., Wang J.J.,   Margin calibration in SVM class-imbalanced learning. Neurocomputing,2009,73:397-411
  18. Wang J.J., Han G.D., Xu Z.B., Derivatives of Bernstein operators and smoothness with Jacobi. Taiwanese Journal of Mathematics. 201014(4):1491-1500
  19. Wang J.J., Xu Z.B., Neural networks and the best Trigonometric approximation; Journal of Systems Science and Complexity; 2011, Vol24Iss 2 pp  401-412