We study influence maximization in which diffusion on each step may be delayed, and the objective is to maximize influence spread within a certain deadline. Both IC and LT models are extended, and efficient algorithms are proposed and evaluated. This work appears in AAAI 2012. For the full version of the paper, please see: http://arxiv.org/abs/1204.3074