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.

## Publications

• Co-authored Book, 人民邮电出版社《深度学习原理与PyTorch实战》
京东购书链接

• Shuo Wang, Yanran Li, Jiang Zhang, Qingye Meng, Lingwei Meng, Fei Gao. PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting Preprint Code

• 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. 2019. Code

• Zhang Zhang, Lifei Wang, Shuo Wang, Ruyi Tao, Jingshu Xiao, Muyun Mou, Jun Cai, Jiang Zhang. Neural Gene Network Constructor: A Neural Based Model for Reconstructing Gene Regulatory Network. Preprint

• Mengyuan Chen, Jiang Zhang, Zhang Zhang, Lun Du, Qiao Hu, Shuo Wang, Jiaqi Zhu. Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network. Preprint