学校：西安欧亚学院

学院：数据科学学院

专业：数据科学与大数据技术

职称职务：无

研究方向：数据挖掘、机器学习、人工智能算法

所授课程：《Linux操作系统》

个人简介：数据科学与大数据技术专业教师，莱顿大学计算机科学博士，西安交通大学软件学院博士在读。累计发表论文6篇，其中中科院2区及以上3篇，获发明专利2项。

科学研究：

（1） 学术论文

[1] Li, J, Wang. X , and Wang. X. A scaled-MST-based clustering algorithm and application on image segmentation. Journal of Intelligent Information Systems 54 (2020): 501-525. DOI: 10.1007/s10844-0 19-00572-x.

[2] Li, J, He, J., Long, J., Wang, C., Kers, J. and Verbeek, F. (2023). Foreground Extraction in Histo-Pathological Image by Combining Mathematical Morphology Operations and U-Net. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING, ISBN 978-9 89-75 8-631-6, ISSN 2184-4305, pages 146-153. DOI: 10.5220/0011803500003414.

[3] Li, J., Li, J., Wang, C., Verbeek, F. J., Schultz, T., and Liu, H. Outlier detection using iterative adaptive mini-minimum spanning tree generation with applications on medical data. (2023) Frontiers in Physiology, 14, 1233341.DOI：10.3389/fphys.2023.1233341.  

[4] Li, J., Wang, C., Verbeek, F.J., Schultz, T. and Liu, H. . (2024). MS2OD: outlier detection using minimum spanning tree and medoid selection. Machine Learning: Science and Technology, 5(1), p.015025. DOI:10.1088/2632-2153/ad2492.

[5] J. Long, J. Li, J. Kers and F. J. Verbeek, ”Beyond NLL: Pathwise Cross-Entropy Loss for Discriminative and Calibrated Event-Time Survival Prediction,” in IEEE Journal of Biomedical and Health Informatics, 2026. DOI: 10.1109/J BHI.2026.3650827.

[6] He, J., Valkema, P.A., Long, J. Li, J.  et al. Transformer-based multiclass segmentation pipeline for basic kidney histology. Sci Rep 15, 38957 (2025). https://doi.org/10.1038/s41598-0  25-22814-5.

（2） 专利

王晓春, 李佳, 张君. 一种基于时序滑动窗口离散系数的环保数据造假检测方法. CN112101969A. 2020.

李佳, 王晓春. 一种基于归一化最小生成树聚类的离群点检测方法. 202110046982[P]