Miss Xiaojing Du

Higher Degree by Research Candidate

School of Computer Science and Information Technology

College of Engineering and Information Technology

Year	Citation
2024	Cao, J., Chen, Q., Qiu, J., Wang, Y., Lan, W., Du, X., & Tan, K. (2024). NGCN: Drug-target interaction prediction by integrating information and feature learning from heterogeneous network. Journal of Cellular and Molecular Medicine, 28(7, article no. 18224), 1-11. DOI
2022	Yao, S., Deng, M., Du, X., Huang, R., & Chen, Q. (2022). A novel hypoxia related marker in blood link to aid diagnosis and therapy in osteoarthritis. Genes, 13(9, article no. 1501), 1-12. DOI

Year	Citation
2025	Chen, X., Li, J., Liu, J., Liu, L., Peters, S., Le, T. D., . . . Walsh, A. (2025). Diffusion Models for Attribution. In T. Walsh, J. Shah, & Z. Kolter (Eds.), Proceedings of the Aaai Conference on Artificial Intelligence Vol. 39 (pp. 2266-2274). US: ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE. DOI
2025	Gao, W., Li, J., Cheng, D., Liu, L., Liu, J., Le, T., . . . Zhao, Y. (2025). Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction. In Ijcai International Joint Conference on Artificial Intelligence (pp. 9638-9646). Canada: International Joint Conferences on Artificial Intelligence Organization. DOI
2025	Du, X., Li, J., Cheng, D., Liu, L., Gao, W., Chen, X., & Xu, Z. (2025). Telling Peer Direct Effects from Indirect Effects in Observational Network Data. In Proceedings of the 42nd International Conference on Machine Learning, PMLR 267, 2025. (pp. 1-17). US: ICML.

Email: xiaojing.du@adelaide.edu.au

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