The task of visual scene understanding is to develop computer algorithms for automatically understanding and analysing the content of scene images and videos, which is a fundamental problem for computer…

This project concerns conversational question answering (CQA), which is the task of answering a sequence of interrelated questions that occur during a conversation between a human and a computer. In…

Machine learning, particularly deep learning, has been spectacularly successful in the recent past. Human-level performance has been achieved in tasks such as object recognition and speech recognition. However, these successes…

This project aims at developing a novel computational framework that can adaptively re-use the knowledge across multiple machines potentially communicating via internet, to enhance the productivity in problem-solving. The developed…

As AI becomes more prevalent in everyday applications, there is a need for new algorithms and dedicated chips that allow for low‐power, reliable and fast computing. In this project, we…

In this research, our aim is to provide good explanatory power without sacrificing the performance of machine learning models. The focus of this research is to develop a general unified…

Recent years have seen an increasing push to make black-box algorithmic systems more transparent to various stakeholders. However, making systems more transparent runs the risk of making them more exposed…

With the increasing popularity of applying machine learning for various artificial intelligence (AI) problems, a plethora of machine learning techniques are being developed. However, a critical limitation of conventional machine…