Biography

Yu Hang is a Ph.D. student at the Pervasive & Cyborg Intelligence Lab, Zhejiang University. His research interests include neural computing, artificial intelligence and brain-computer interface.

Recently, his research focus on EEG component analysis and simulations. A question driving him is: what exactly happens in humans’ mind after external stimulus?

Pan, G., Li, J. J., Qi, Y., Yu, H., Zhu, J. M., Zheng, X. X., … & Zhang, S. M. (2018). Rapid Decoding of Hand Gestures in Electrocorticography Using Recurrent Neural Networks. Frontiers in neuroscience, 12.

Xu, Q., Qi, Y., Yu, H., Shen, J., Tang, H., & Pan, G. (2018). CSNN: An Augmented Spiking based Framework with Perceptron-Inception. In IJCAI (pp. 1646-1652).

Qi, Y., Shen, J., Wang, Y., Tang, H., Yu, H., Wu, Z., & Pan, G. (2018). Jointly Learning Network Connections and Link Weights in Spiking Neural Networks. In IJCAI (pp. 1597-1603).