The explosive growth of data and information has motivated various emerging non-von Neumann computational ap-proaches in the More-than-Moore era.Photonics neuromorphic computing has attracted lots of attention due to the fascinat-ing advantages such as high speed,wide bandwidth,and massive parallelism.Here,we offer a review on the optical neural com-puting in our research groups at the device and system levels.The photonics neuron and photonics synapse plasticity are presented.In addition,we introduce several optical neural computing architectures and algorithms including photonic spiking neural network,photonic convolutional neural network,photonic matrix computation,photonic reservoir computing,and photonic reinforcement learning.Finally,we summarize the major challenges faced by photonic neuromorphic computing,and propose promising solutions and perspectives.