AGENCY: Assuring Citizen Agency in a World with Complex Online Harms The online world is a curious but uncertain world. It enriches many facets of life but at the same time exposes citizens to a variety of threats that may cause harm to them, their loved ones and to wider society. Many of these harms […]
Generative Adversarial Imitation Learning For Student Simulation In this project, we are exploring the application of deep learning (DL) and reinforcement learning (RL) algorithms for student simulation technology in intelligent algorithm teaching systems (ITS). The aim is to improve the efficiency, robustness, and interpretability of the ITS system. Research Outline and Goals With the rapid development […]
3D User Interface Optimization in VR environment Recently, the concept ‘’metaverse” has prevailed around the technology community. As one of its key supporting techniques, Virtual reality (VR) has also drawn attention in the past several years, providing users with an immersive experience through head-mounted displays (HMDs). Graphical user interfaces (GUIs) play an essential role in interactive computing […]
Recognition of User Behaviour in a VR museum The project is based on the dataset EDVAM, aiming to understand and recognise user behaviour in a VR museum for a better user interactive experience. Research Outline and Goals Virtual reality (VR) has drawn more attention in the past several years, providing users with an immersive experience through head-mounted […]
Application of gesture recognition technology in immersive virtual reality system In this project, We will explore the application of machine learning in gesture recognition in immersive virtual reality systems (IVRS). Background In recent years, virtual reality, augmented reality, artificial intelligence and other technologies have been widely used in people’s daily life. To give people a […]
Escape from information cocoon with language models Recommender system of question-and-answering platform nowadays has faced with the problem of trapping users in the information cocoon, in which people keep being recommended similar contents that they have shown interests in. We identify that those contents, however, typically involving academic-, professions- or personal problems-related contents based on […]
In this project, we use computer vision to track and examine the trajectories of weightlifters in order to help them improve their form and technique, with the goal of improving how efficiently they can carry out lifts with heavier weights whilst also avoiding injury.
In this project, we aim to develop an aid tool for suffers from colour blindness which is integrated with their current workflow and existing technology. It should be intuitive and affordable, allowing sufferers to overcome barriers to education and technology access.
In this project, we explored how game-design elements and game principles can support social interactions. We proposed a set of contextual gamification strategies, which apply flow and self-determination theory for increasing intrinsic motivation in social e-learning environments.
In this project, we analysed different architectures used in abstractive text summarisation in terms of their generalisation ability by studying their behaviour with unseen data distributions and underrepresented topics. Models were implemented using OpenNMT toolkit.
We proposed to embed a novel attention mechanism at the semantic level in the bi-directional GRU-CNN structure, which is more fine-grained than the existing token-level attention mechanism.
