Residue hydrogenation process (RHP) plays an important role in efficient utilization of heavy oil resources. The high-fidelity model of RHP is so complex that its optimization cost is expensive and even intractable. Furthermore, in the actual industrial processes, due to the low sampling frequencies of some sensors, only a few sampling points can be obtained with some missing values.