基本情况

曾晓勤，获南京大学学士学位、东南大学硕士学位、香港理工大学博士学位。现任河海大学计算机与信息学院教授、博士生导师、智能科学与技术研究所所长、国际学术期刊IEEE Transactions on Systems、Man and Cybernetics-Part B副编辑。长期从事计算机科学及工程领域的教学与科研工作，主持过多项国家自然科学基金项目，在权威学术期刊（如 Neural Computation、IEEE Transactions on Neural Networks、SCIENCE CHINA:Information Science等）上发表了多篇学术论文。

 

研究领域

神经计算、机器学习、机器视觉、图文法及其在软件可视化应用等方面。

 

论文发表

  1. Sensitivity Analysis of MLP to Input and Weight Perturbations, IEEE Transactions on Neural Networks, 12(6): 1358-1366, 2001
  2. A Quantified Sensitivity Measure for Multilayer Perceptron to Input Perturbation, Neural Computation, 15(1): 183-212, 2003
  3. Spatial Graph Grammars for Graphical User Interfaces, ACM Transactions on Computer-Human Interaction, 13(2): 268-307, 2006. Hidden neuron pruning of multilayer perceptrons using a quantified sensitivity measure, Neurocomputing, 69(7-9): 825-837, 2006
  4. Computation of Adalines` Sensitivity to Weight Perturbation, IEEE Transactions on Neural Networks, 17(2): 515-519, 2006
  5. Computation of Madalines` Sensitivity to Input and Weight Perturbations, Neural Computation, 18(11): 2854-2877, 2006
  6. 一种基于边的上下文相关图文法形式化框架，《软件学报》，19(8)：1893-1901，2008
  7. A sensitivity-based approach for pruning architecture of Madalines, Neural Computing and Applications, 18(8): 957-965, 2009
  8. Approximate computation of Madaline sensitivity based on discrete stochastic technique, SCIENCE CHINA: Information Science, 53(12): 2399–2414, 2010
  9. Sensitivity-Based Adaptive Learning Rules for BFNNs. IEEE Transactions on Neural Networks and Learning Systems, 23(3): 480-491, 2012
  10. Computation of Multilayer Perceptron Sensitivity to Input Perturbation, Neurocomputing, online published, 2012
  11. An Effective Neural Network Ensemble Approach for Improving Generalization Performance, IEEE Transactions on Neural Networks and Learning Systems, acceptable for publication, 2012