The term He initialization refers to the first author in the paper “Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification”.
He initialization initializes the bias vectors of a neural network to and the weights to random numbers drawn from a Gaussian distribution where the mean is and the variance is where is the dimension of the previous layer.