近五年以一作或者通讯作者发表科研类论文：
1. Tan, Yongsen, Jiahui Huang, Jinhu Zhuang, Haofan Huang, Mu Tian, Yong Liu, Ming Wu, and Xiaxia Yu. "Fine-grained subphenotypes in acute kidney injury populations based on deep clustering: Derivation and interpretation." International Journal of Medical Informatics (2024): 105553.
2. Jinhu Zhuang, Haofan Huang, Song Jiang, Jianwen Liang, Yong Liu, Xiaxia Yu*. A generalizable and interpretable model for mortality risk stratification of sepsis patients in intensive care unit. BMC Medical Informatics and Decision Making. 23, 185 (2023). https://doi.org/10.1186/s12911-023-02279-0
3. Junling Gao1, Xiaxia Yu1, Guanghui Cao, Xiaoming He, Pingde Zhang, Joseph Walline, Yuanxi Wang, Xingjuan Yu, Jun Xu, Thuan-Quoc Thach, Yong Liu. “Assessing the impact of the 2018 tetanus guidelines on knowledge and practices of emergency physicians in trauma patients: a national survey study,” PeerJ 2023 11:e16032. https://doi.org/10.7717/peerj.16032
4. Yongsen Tan, Jiahui Huang, Jinhu Zhuang, Haofan Huang, Song Jiang, Miaowen She, Mu Tian, Yong Liu, Xiaxia Yu*. “Identifying acute kidney injury subphenotypes using an outcome-driven deep-learning approach,” Journal of Biomedical Informatics, 18 May 2023, 104393, ISSN 1532-0464, https://doi.org/10.1016/j.jbi.2023.104393.
5. Guangjian Zeng, Jinhu Zhuang, Haofan Huang, Mu Tian, Yi Gao, Yong Liu*, and Xiaxia Yu*, "Use of Deep Learning for Continuous Prediction of Mortality for All Admissions in Intensive Care Units," in Tsinghua Science and Technology, vol. 28, no. 4, pp. 639-648, August 2023, doi: 10.26599/TST.2022.9010027.
6. Huang H1, Yu X1, Tian M, He W, Li SX, Liang Z, Gao Y. Open-source algorithm and software for computed tomography-based virtual pancreatoscopy and other applications. Visual Computing for Industry, Biomedicine, and Art. 2022 Dec;5(1):1-1.
7. Huang ZY, Liu Y, Huang HF, Huang SH, Wang JX, Tian JF, Zeng WX, Lv RG, Jiang S, Gao JL, Gao Y, Yu XX*. Acute kidney injury in traumatic brain injury intensive care unit patients. World J Clin Cases 2022; 10(9): 2751-2763
8. Huang HF, Liu Y, Li JX, Dong H, Gao S, Huang ZY, Fu SZ, Yang LY, Lu HZ, Xia LY, Cao S, Gao Y, Yu XX*. Validated tool for early prediction of intensive care unit admission in COVID-19 patients. World J Clin Cases 2021; 9(28): 8388-8403 [DOI: 10.12998/wjcc.v9.i28.8388]
9. Xiaxia Yu1, Bingshuai Zhao1, Haofan Huang, Mu Tian, Sai Zhang, Hongping Song, Zengshan Li, Kun Huang, Yi Gao. An open-source platform for computational histopathology. IEEE Access, 2021.
10. Mu Tian1, Jinchan He1, Xiaxia Yu1, Chudong Cai, Yi Gao. MCMC Guided CNN Training and Segmentation for Pancreas Extraction. IEEE Access, 2021.
11. Haofan Huang, Yong Liu, Ming Wu, Yi Gao, Xiaxia Yu*. (2021). “Development and validation of a risk stratification model for predicting the mortality of acute kidney injury in critical care patients”. Annals of Translational Medicine, 2021 Feb;9(4):323. doi: 10.21037/atm-20-5723. PMID: 33708950; PMCID: PMC7944298.
12. Ronggui Lv1, Xiaxia Yu1, Weixian Zeng1, et al. (2020). “Treatment of Hypertriglyceridemia-Induced Acute Pancreatitis With Plasma Diafiltration: A Pilot Study.” Pancreas: 11/12 2020 - Volume 49 - Issue 10 - p e103-e105 doi: 10.1097/MPA.0000000000001674.
13. Jingwen Li1, Xiaxia Yu1, Shaoping Hu, et al. (2020). “COVID-19 targets the right lung”. Critical Care 24, 339. https://doi.org/10.1186/s13054-020-03033-y
会议论文：
1. Zhuang, Jinhu, Linyan Xie, Chenxi Peng, Guangjian Zeng, Ming Wu, and Xiaxia Yu. "Continuous Identification of Sepsis-Associated Acute Heart Failure Patients: An Integrated LSTM-Based Algorithm." In International Symposium on Bioinformatics Research and Applications, pp. 483-494. Singapore: Springer Nature Singapore, 2024.
2. Tan, Y., Huang, J., Zhuang, J., Huang, H., Liu, Y., Yu, X. (2023). Identification of Sepsis Subphenotypes Based on Bi-directional Long Short-Term Memory Auto-encoder Using Real-Time Laboratory Data Collected from Intensive Care Units. In: Health Information Processing. CHIP 2022. Communications in Computer and Information Science, vol 1772. Springer, Singapore. https://doi.org/10.1007/978-981-19-9865-2_9
3. Yongsen Tan, Jiahui Huang, Jinhu Zhuang, Yong Liu, Haofan Huang, Xiaxia Yu*, and Fusheng Wang. Generalizable deep clustering based on Bi-LSTM with applications to sepsis and acute kidney disease populations. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Dec. 6 to Dec. 8, 2022. Las Vegas, NV, USA and Changsha, China.
4. Guangjian Zeng, Jinhu Zhuang, Haofan Huang, Yi Gao, Yong Liu, and Xiaxia Yu*. 2022. Continuous prediction of acute kidney injury from patients with sepsis in ICU settings: A sequential transduction model based on attention. In 2022 The 4th International Conference on Intelligent Medicine and Health (ICIMH) (ICIMH 2022), August 19–21, 2022, Xiamen, China. ACM, New York, NY, USA, 7 pages. https://doi.org/10.1145/3560071.3560077. (Oral presentation, Best paper)
5. Guangjian Zeng, Jinhu Zhuang, Haofan Huang, Mu Tian, Yi Gao, Yong Liu, Xiaxia Yu. Use of deep learning to continuous prediction of mortality for all-admission in ICU settings. 17th International Symposium on Bioinformatics Research and Applications (ISBRA). 2021/11/26-2021/11/28, Shenzhen, Guangdong. (Oral presentation)
