Shuo Wang is currently a graduate research assistant at School of System Science, Beijing Normal University under the supervision of Prof. Jiang Zhang. Prior to that, he was a deep learning algorithm engineer at ColorfulClouds Technology focusing on air quality prediction. He received his M.S. degree in pattern recognition and intelligent system from Northeastern University, China in 2014. He was also a visiting scholar at Air Pollution Control Group, School of environmental science and engineering, Shanghai Jiao Tong University under the supervision of Prof. Zhen Cheng. His research interests include Complex Network, Network Reconstruction, Graph Neural Networks (GNNs), Spatio-temporal prediction, Air Quality Prediction.
Co-authored Book, 人民邮电出版社《深度学习原理与PyTorch实战》
Zhang Zhang, Yi Zhao, Jing Liu, Shuo Wang, Ruyi Tao, Ruyue Xin, Jiang Zhang. A General Deep Learning Framework for Network Reconstruction and Dynamics Learning. Applied Network Science. accept, 2019.
Preprint | Code
一种基于NDN缓存优化的文件传输方法以及装置，CN104967677A，（授权），info from Google Patents
shawnwang.tech # gmail.com