|Postgraduate Student in the Department of Computer Science||Mathematical Sciences and Computer Science Building|
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 and currently working on a UKRI project as research assistant, in charge of developing chatbot. If you are interested in collaboration in any capacity, do not hesitate to get in touch.
- Graph Neural Networks
- Knowledge Representation
- Machine Learning for Healthcare
- Multimodal Machine Learning
- Natural Language Processing
- 2022: Talk at the Alan Turing Institute: Knowledge Graphs Interest Group at the Alan Turing Institute 5th Meet-up
- Sun, Z., Harit, A., Cristea, A. I., Yu, J., Al Moubayed, N., & Shi, L. (2022). Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention. . https://doi.org/10.1109/bigdata55660.2022.10020791
- Sun, Z., Harit, A., Cristea, A. I., Yu, J., Shi, L., & Al Moubayed, N. (2022). Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification. . https://doi.org/10.1109/ijcnn55064.2022.9892257
- Sun, Z., Harit, A., Yu, J., Cristea, A., & Al Moubayed, N. (2021). A Generative Bayesian Graph Attention Network for Semi-supervised Classification on Scarce Data. . https://doi.org/10.1109/ijcnn52387.2021.9533981