jiepeng.yao@ia.ac.cn
Room 725, Automation Building, No. 95 Zhongguancun East Road, Haidian District, Beijing
multi-source heterogeneous data fusion and mining analysis
Yao Jiepeng, PhD, assistant professor, engaged in multi-source heterogeneous data fusion and mining analysis. Currently, 8 academic papers have been published.
[1] Yao J P, Ling Y, Hou P C, Wang Z Y, Huang L. A graph neural network model for deciphering the biological mechanisms of plant electrical signal classification [J]. Applied Soft Computing, 2023: 110153.
[2] Yao J P, Zhan J P, Liu J J, Wang Z Y, Huang L. A Time-varying Parameter Estimation Method for Physiological Models Based on Physical Information Neural Networks [J]. Computer Modeling in Engineering Sciences, 2023:1-22.
[3] Yao J P, Wang Z Y, de Oliveira R F, Wang Z Y, Huang L. A deep learning method for the long-term prediction of plant electrical signals under salt stress to identify salt tolerance [J]. Computers and Electronics in Agriculture, 2021, 190: 106435.
[4] Liu J J, Yao J P, Zhou Q, Wang Z Y, Huang L. LSTMAE-DWSSLM: A unified approach for imbalanced time series data classification [J]. Applied Intelligence, 2023:1-15.
[5] Peng Z J, Yao J P, Liu J J, Li Y, Zheng H Y, Wang Z Y, Lan H. Plant Electrical Signal Research Based on Physics-Informed Neural Networks [J]. Available at SSRN 4385927, 2023.
[6] Zhou Q, Yao J P, Li J H, Wang Z Y, Huang L. A smart universal single-channel blind source separation method and applications [J]. Multidimensional Systems and Signal Processing, 2022: 1-27.
[7] Qin X H, Wang Z Y, Yao J P, Zhou Q, Zhao P F, Wang Z Y, Huang L. Using a one-dimensional convolutional neural network with a conditional generative adversarial network to classify plant electrical signals [J]. Computers and Electronics in Agriculture, 2020, 174: 105464.
[8] Fan C X, Li J H, Yao J P, Liu J J, Wang N, Huang L, Wang Z Y. All-solid-state potentiometric salicylic acid sensor for in-situ measurement of plant [J]. Analytical and Bioanalytical Chemistry, 2023: 1-11.