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best365登陆官网，best365在线官网登录入口，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.
best365登陆官网