Dr Gary Tsang utilised scholarly big data to comprehensively investigate and analyse the academic value of Ci annotations published during the Republican China period. His study not only expanded the research scope and depth of Ci studies but also demonstrated the potential of scholarly big data in facilitating in-depth studies of classical literature, providing a new research method applicable to other literary genres.
Dr Wyman Wang and his team proposed an innovative representation learning network ‘SO(3)-Pose’ to improve the accuracy of 6D object pose estimation in complex industrial environments. SO(3)-Pose outperformed other state-of-the-art methods and can be applied in areas such as robotics and augmented reality.
Dr Venus Chan developed ‘XR MALL’, a mobile app featuring the use of extended reality, combining virtual reality, augmented reality, and mobile technologies for interpreting and public speaking learning. The app facilitates learners around the world to obtain a fully immersive experience and learn interpreting and public speaking anywhere and anytime.
Through analysing the work of some British-Chinese poets, Dr Antony Huen defined two ekphrastic practices in contemporary British poetry, namely 'Hong Kong ekphrasis' and 'Chinese ekphrasis'. The study highlights the importance of literature in navigating and expressing the complexity of cultural identity, as well as the ambitions and thoughts of a rising generation.
Dr Jessie Wong examined the impact of the Pre-primary Education Voucher Scheme on parents and early childhood education (ECE) providers. The study contributes to informing the optimisation and reform of ECE taking into consideration the sociocultural context in Hong Kong comprehensively.
