Miss Xiaojing Du

Higher Degree by Research Candidate

School of Computer Science and Information Technology

College of Engineering and Information Technology


Year Citation
2025 Wang, H., Du, X., & Hao, X. (2025). RMixDA: a random compound data augmentation operation framework for neural machine translation. IEEE Access, 13, 105101-105112.
DOI
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 Scopus6 Europe PMC5
2023 Hao, X., Chen, Q., Pan, H., Qiu, J., Zhang, Y., Yu, Q., . . . Du, X. (2023). Enhancing drug–drug interaction prediction by three-way decision and knowledge graph embedding. Granular Computing, 8(1), 67-76.
DOI Scopus22
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 Scopus12 Europe PMC12
2022 Yao, S., Deng, M., Du, X., Chen, Q., & Huang, R. (2022). Identification of Two Novel Immune Subtypes Characterized by Distinct Prognosis and Tumor Microenvironment in Osteosarcoma. Journal of Immunology Research, 2022, 2181525.
DOI Scopus1 Europe PMC1

Year Citation
2026 Gao, W., Du, X., Chen, X., Guo, Y., Cifuentes-Bernal, A. M., Luo, R., & Xu, Z. (2026). Energy-Efficient Training-Free Zero-Inflation Correction for Rainfall Forecasting with Time-Series Foundation Models. In Www 2026 Proceedings of the ACM Web Conference 2026 (pp. 8840-8850). ACM.
DOI
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 Scopus2 WoS2
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 (ICML 2025), as puiblished in Proceedings of Machine Learning Research Vol. 267 (pp. 14562-14578). US: Proceedings of Machine Learning Research (PMLR).
Scopus1
2025 Deng, J., Chen, Q., Cheng, D., Du, X., Li, J., & Liu, L. (2025). Mitigating Latent Confounding Bias in Recommender Systems. In Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management (pp. 531-541). SOUTH KOREA: ASSOC COMPUTING MACHINERY.
DOI Scopus2 WoS1
2025 Gao, W., Li, J., Liu, L., Le, T. D., Chen, X., Du, X., . . . Chen, Y. (2025). From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction. In I. Lynce, N. Murano, M. Vallati, S. Villata, F. Chesani, M. Milano, . . . M. Dastani (Eds.), In published processings need to add Proceedings of the 28th European Conference on Artificial Intelligence, including 14th Conference on Prestigious Applications of Intelligent Systems, as published in Frontiers in Artificial Intelligence and Applications Vol. 413 (pp. 1107-1114). Netherlands: IOS Press.
DOI
2022 Du, X., Chen, Q., Cheng, D., Huang, Q., Cao, J., Deng, Z., & Zhang, S. (2022). Stable Causal Feature Selection based on Direct Causal Effect Estimation. In Proceedings 24th IEEE International Conference on High Performance Computing and Communications 8th IEEE International Conference on Data Science and Systems 20th IEEE International Conference on Smart City and 8th IEEE International Conference on Dependability in Sensor Cloud and Big Data Systems and Application Hpcc Dss Smartcity Dependsys 2022 (pp. 1593-1600). IEEE.
DOI

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