Dejiao Niu, received the B.S. and M.S. degree in Computer Application Technology from Jiangsu University, Zhenjiang, Jiangsu, China, in 2003 and the Ph.D. degree in Computer Application Technology from Jiangsu University, Zhenjiang, Jiangsu, China, in 2018.From 2013 to 2014, she was a visiting scholar with Evolutionary Intelligence Laboratory, the Department of Electronic and Computer Engineering of Pittsburgh University, Pittsburgh, Penn, USA. Since 2013, she has been an Associate Professor with the School of Computer Science and Communication Engineering, Jiangsu University, China. She is the author of more than 20 articles and holds 5 patents. Her research interest includes the large-scale sequence analysis using deep neural networks, distributed system for deep neural networks and brain-inspired neural networks.
1. National Natural Science Foundation of China No.618060862. Natural Science Foundation of Jiangsu Province No.BK201405703. Elaborate courses for international students in Jiangsu Province
(1) Dejiao Niu, Qingjian He, Tao Cai, Bo Chen, Yongzhao Zhan, Jun Liang. XPMFS: A New NVM File System for Vehicle Big Data[J]. IEEE ACCESS. Vol.6, 2018: 34863-34873(2) D.J. Niu, T. Cai, T.Q. Liu, S.J. Zhou. The asynchronous training algorithm based on sampling and mean fusion for distributed RNN[J]. IEEE ACCESS. Vol.5, 2019.(3) Dejiao Niu, Bo Chen, Tao Cai, ZhiPeng Chen. The Classified and Active Caching Strategy for Iterative Application in Spark. ICCCN 2018.(4) Dejiao Niu, Xia Zheng, Yawen Liu, Tao Cai, Tianquan Liu, Yongzhao Zhan. ALSTM: Adaptive LSTM for Durative Sequential Data. The 30th IEEE International Conference on Tools with Artificial Intelligence (ICATI 2018)
