Generative Adversarial Networks (GANs) have shown remarkable success in producing
realistic-looking images in the computer vision area. Recently, GAN-based techniques are …

Generative adversarial networks (GAN) has received great attention and made great
progress since its emergence in 2014. In this paper, we focus on the theoretical …

Nowadays, a massive number of people are involved in various social media. This fact
enables organizations and institutions to more easily access their audiences across the …

Multi-hop knowledge graph question answering targets at pinpointing the answer entities by
inferring across multiple triples in knowledge graphs. To enhance model interpretability …

Formal methods have been widely used to support software testing to guarantee correctness
and reliability. For example, model checking technology attempts to ensure that the …

Online reviews have become a vital source of information in purchasing a service (product).
Opinion spammers manipulate reviews, affecting the overall perception of the service. A key …

Open-domain dialogue generation suffers from the data insufficiency problem due to the
vast size of potential responses. In this paper, we propose to explore potential responses by …

With the development of information technology, many devices are connected and
automated by networks. Unmanned Areal Vehicles (UAVs), commonly known as drones, are …

Machine learning algorithms represent the intelligence that controls many information
systems and applications around us. As such, they are targeted by attackers to impact their …

Conditional sequence generation aims to instruct the generation procedure by conditioning
the model with additional context information, which is an interesting research issue in AI …