Staff profile
![Zhongtian Sun](/media/durham-university/site-assets/image/Blank-profile-INK.png)
Biography
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.
Research interests
- Graph Neural Networks
- Knowledge Representation
- Machine Learning for Healthcare
- Multimodal Machine Learning
- Natural Language Processing
Esteem Indicators
- 2022: Talk at the Alan Turing Institute: Knowledge Graphs Interest Group at the Alan Turing Institute 5th Meet-up
Publications
Conference Paper
- Sun, Z., Harit, A., Cristea, A. I., Yu, J., Al Moubayed, N., & Shi, L. (2022, December). Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention. Presented at IEEE Big Data, Osaka, Japan
- Sun, Z., Harit, A., Cristea, A. I., Yu, J., Shi, L., & Al Moubayed, N. (2022, July). Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification. Presented at 2022 International Joint Conference on Neural Networks (IJCNN), Padova, Italy
- Sun, Z., Harit, A., Yu, J., Cristea, A., & Al Moubayed, N. (2021, July). A Generative Bayesian Graph Attention Network for Semi-supervised Classification on Scarce Data. Presented at IEEE International Joint Conference on Neural Network (IJCNN2021), Virtual
Journal Article
- Sun, Z., Harit, A., Cristea, A. I., Wang, J., & Lio, P. (2023). MONEY: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model. AI open, 4, 165-174. https://doi.org/10.1016/j.aiopen.2023.10.002
- Yu, J., Cristea, A. I., Harit, A., Sun, Z., Aduragba, O. T., Shi, L., & Al Moubayed, N. (2023). Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation. AI open, 4, 19-32. https://doi.org/10.1016/j.aiopen.2023.05.001
Presentation