个人信息
  • 姓名:胡俊英
  • 部门:统计系
  • 职称:讲师
  • 荣誉:硕士生导师,专业硕士导师
  • 电子邮件:hujunying@nwu.edu.cn
  • 研究方向:深度学习,差分隐私,模式识别等
个人简介



胡俊英,女,2019年获西安交通大学博士学位,期间在美国华盛顿大学进行联合培养博士研究。目前为西北大学,数学学院,讲师,硕士生导师。

 


项目、成果、论文、奖励



  • 1、项目情况:

  • 国家自然科学基金青年基金:亥姆霍兹机模型结构及应用研究(No. 12001428) 2021.90-2023-12,主持

     

    2、发表论文情况:

  • Junying Hu, Jiangshe Zhang, Chunxia Zhang, Juan Wang: A new deep neural networkbased on a stack of single-hidden-layer feedforward neural networks with randomly fi xed hidden neurons, Neurocomputing, 171: 63-72 (2016).

  • Junying Hu, Jiangshe Zhang, Nannan Ji, Chunxia Zhang: A modified version of Helmholtz machine by using a Restricted Boltzmann Machine to model the generative probability of the top layer, Neurocomputing, 267: 1-17 (2017).

  • Junying Hu, Jiangshe Zhang, Nannan Ji: A new regularized Restricted Boltzmann Machine based on class preserving, Knowledge-Based Systems, 123: 1-12(2017).

  • Jiangshe Zhang, Junying Hu*, Junmin Liu: Neural network with multiple connection weights[J]. Pattern Recognition, 2020, 107: 107481.

  • Junying Hu, Richard Shi, Jiangshe Zhang: Saliency-based YOLO for single target detection, Knowledge and Information Systems, 2021, 63(3): 717-732.

  • Hu, Junying, Kai Sun, and Hai Zhang: Enhancing performance of the back-propagation algorithm based on a novel regularization method of preserving inter-object-distance of data, International Journal of Wavelets, Multiresolution and Information Processing 19.03 (2021): 2050081.