孔佑勇
   
基本信息
姓 名: 孔佑勇 性 别: 出生年月: 1987年1月
学 位: 博士 职 称: 讲师 资 格:  
行政机构: 影像科学与技术系 研究方向: 磁共振图像处理与分析
电 话: 025-83794249 传 真:   电子邮件: kongyouyong@seu.edu.cn
地 址: 南京市玄武区四牌楼2号群贤楼2楼 邮 编: 210096
 

 

 详细信息
 
个人介绍
 
2014年于香港中文大学获得博士学位之后,加入东南大学计算机学院影像科学与技术实验室。主要从事大脑磁共振图像处理、大脑功能分区与机器学习等方面的研究工作。
 
在研项目
    
    国家自然科学基金 31640028  基于静息态功能磁共振成像的大脑功能分区研究  2017/01-2017/12 主持
    江苏省自然科学基金 BK20150650 基于功能连接构建大脑功能分区关键技术研究 2015/08-2018/07 主持
    江苏省“双创博士”人才计划 2015/08-2017/07 主持
 
发表论文
  1. Deng Y, Ren Z, Kong Y, Bao F, Dai Q. A Hierarchical Fused Fuzzy Deep Neural Network for Data Classification.IEEE Transactions on Fuzzy Systems. In Press.

  2. Deng Y, Bao F, Kong Y, Ren Z, Dai Q. Deep Direct Reinforcement Learning for Financial Signal Representation and Trading. IEEE Transactions on Neural Networks and Learning Systems. 2016, DOI: 10.1109/TNNLS.2016.2522401.

  3. Deng Y, Zhao Y, Ren Z, Kong Y, Bao F, Dai Q. Discriminant Kernel Assignment for Image Coding.IEEE Transactions on Cybernetics.DOI: 10.1109/TCYB.2016.2547941

  4. Deng Y, Bao F, Deng X, Wang R, Kong Y, Dai Q.Deep and Structured Robust Information Theoretic Learning for Image Analysis. IEEE Transactions on Image Processing.2016, in press.

  5. Kong Y, Li Y, Wu J, Shu H. Noise reduction of diffusion tensor images by sparse representation and dictionary learning. Biomedical Engineering Online. 2016. 15(5):1-11.

  6. Kong Y, Deng Y, Dai Q. Discriminative Clustering and Feature Selection for Brain MRI Segmentation. IEEE Signal Processing Letters, 2015, 22(5):573-577.

  7. Deng Y, Kong Y, Bao F, Dai Q. Sparse Coding Inspired Optimal Trading System for HFT Industry. IEEE Transactions on Industrial Informatics. 2015, 11(2): 467-475.

  8. Kong Y, Wang D, Shi L, Hui S, Deng M, Chu W, Cheng J. Variation in anisotropy and diffusivity along medulla oblongata and the whole spinal cord in adolescent idiopathic scoliosis: A pilot study using diffusion tensor imaging. American Journal of Neuroradiology. 2014, 35(8):1621-1627.

  9. Kong Y, Wang D, Shi L, Hui S, Chu W. Adaptive distance metric learning for diffusion tensor image segmentation. PLoS ONE, 2014, 9(3): e92069.

  10. Wang D, Kong Y, Shi L, Chu W, Tam C, Lam L, Wang Y, Northoff G, Wang Y. Generation of the probabilistic template of default mode network derived from resting-state fMRI. IEEE Transactions on Biomedical Engineering, 2014, 61(10):2550-2555.

  11. Wang D, Kong Y, Shi L, Ahuja A, Cheng J, Chu W. Fully automatic stitching of diffusion tensor images in spinal cord. Journal of Neuroscience Methods, 2012 209(2):371–378.