Staff profile

I joined Durham University as a PhD student in Nov 2019. My research interests are Knowledge Representation Learning (KRL) and its application in different domains. I mainly aim to investigate how to enhance the representation learning ability of models and I have applied them in various tasks including medical vision question answering, natural language processing, financial investment, social network and structural learning of molecules. I demonstrated two modules: Bias in AI and AI Search for undergraduates in the Spring term 2022. 

I am also a member of the Alan Turing Institute Knowledge Graph Interest Group. If you are interested in collaboration in any capacity, do not hesitate to get in touch.

• Machine Learning for Healthcare
• Multimodal Machine Learning
• Natural Language Processing
• Knowledge Representation
• Graph Neural Networks

• Google Scholar

• 2022: Talk at the Alan Turing Institute: Knowledge Graphs Interest Group at the Alan Turing Institute 5th Meet-up

Conference Paper

• Sun, Zhongtian, Harit, Anoushka, Cristea, Alexandra I., Yu, Jialin, Shi, Lei & Al Moubayed, Noura (2022), Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification, 2022 International Joint Conference on Neural Networks (IJCNN).
• Sun, Zhongtian, Harit, Anoushka, Cristea, Alexandra I., Yu, Jialin, Al Moubayed, Noura & Shi, Lei (2022), Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention, IEEE Big Data. Japan.
• Sun, Zhongtian, Harit, Anoushka, Yu, Jialin, Cristea, Alexandra I. & Al Moubayed, Noura (2021), A Generative Bayesian Graph Attention Network for Semi-Supervised Classification on Scarce Data, 2021 International Joint Conference on Neural Networks (IJCNN).