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Generative Adversarial Nets (GANs) have shown promise in image generation and semi-supervised learning (SSL). However, existing GANs in SSL have two problems: (1) the generator and the discriminator (i.e. the classifier) may not be optimal at the same time; and (2) the generator cannot control the semantics of the generated samples. The problems essentially(More)
Model transformation is at the heart of Model-Driven Engineering (MDE). In MDE, the system model is specified using a modelling language, such as UML (Unified Modelling Language) or a DSL (Domain-Specific Language). Once a model is specified, executable code for a computing platform can be automatically generated by means of model transformation (code(More)
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