通讯地址：先进制造学院Email： johnlee@fzu.edu.cn

1998.09-2002.06 台湾科技大学，电机工程博士

福建省通信学会高级会员,福建省电机工程学会专委会委员,福建省电子学会智能信息专委会副主任,福建大数据联盟副理事长,期刊 Artificial Intelligence Evolution 主编、International Journal of Fuzzy System副主编, 台湾人工智能、信息管理学会永久会员,台湾软件质量协会监事。

人工智能、机器学习、数据挖掘

1. 福建省科技厅,面上项目, 2023J011130,降雨诱发红黏土新滑坡二次滑动机理及其稳定性评价方法, 2023-08 至 2026-08, 在研、参与。2. 2022年省科协科技创新智库课题研究，FJKX-2022XKB032，两岸共建基于生成式对抗网络和深度学习的智能碳排放计算平台的研究，结题、主持。3. 2020年教育部产学合作协同育人项目202002100011，R程序语言应用于智能学习案例, 结题、主持。4. 2020年省福建省终身教育研究课题,ZS20048, 两岸老年教育学习满意度的研究, 2020.6.20-2021.10.31、结题, 主持。5. 2020年省级新工科研究与改革实践项目, 闽台合力校企联动新时代民办高校大数据高素质应用型人才培养模式探索与实践, 2020.5-2022.5, 结题, 参与。6. 2020年福建省本科高校教育教学改革重大研究项目, FBJG20200371, 海峡两岸民办本科大学内部治理体系比较研究, 2020.12-2021.5, 结题, 参与。7. 2019年度第二批福州市科技计划项目, 2019-SG-6, 一种新型混合智能型信息安全风险评估, 2019.10.17-2021.10.17, 结题、主持。8. 福建省本科高校教育教学改革研究项目, FBJG20190284, (十三五”教育科学规划本科高校教改专项)-大数据背景下基于新文科建设的福州外语外贸学院创新创业教育研究与实践, 2019.10.01-2021.10.01, 结题、参与。

1. 发表论文240余篇，其中 SSCI、SCI、EI等收录90余篇次；获国际期刊 Expert System With Applications高被引论文；发表的论文多次获得最佳论文奖及优秀论文奖，编写专著八部。节录部份成果如下:
2. 零基础学R语言数据分析:从机器学习、数据挖掘、文本挖掘到大数据分析, 清华大学出版社 [第二版], 2019. ( ISBN: 9787302510802)
3. R语言数据分析从入门到实战，清华大学出版社, 2021. (ISBN: 9787302586340)
4. Cai, J., Lee, Z. J., Lin, Z., & Yang, M. R. (2025). A Novel SHAP-GAN Network for Interpretable Ovarian Cancer Diagnosis. Mathematics, 13(5), 882. (SCI)
5. Wang L-H, Zhang Z-N, Xie C-X, Jiang H, Yang T, Ran Q-P, Fan M-H, Kuo I-C, Lee Z-J, Chen J-B, et al. A Novel Real-Time Threshold Algorithm for Closed-Loop Epilepsy Detection and Stimulation System. Sensors. 2025; 25(1):33. https://doi.org/10.3390/s25010033
6. Cai, J., Lee, Z. J*., Lin, Z., Hsu, C. H., & Lin, Y. (2024). An Integrated Algorithm with Feature Selection, Data Augmentation, and XGBoost for Ovarian Cancer. Mathematics, 12(24), 4041.
7. Lee, Z. J., Cai, J. X., Wang, L. H., & Yang, M. R. (2024). Ensemble Algorithm Based on Gene Selection, Data Augmentation, and Boosting Approaches for Ovarian Cancer Classification. Diagnostics, 14(24), 2772. (SCI)
8. Liang-Hung Wang, Chao-Xin Xie, Tao Yang, Hong-Xin Tan, Ming-Hui Fan*, I-Chun Kuo3, Zen-Jung Lee*, Tsung-Yi Chen, Pao-Cheng Huang, Shih-Lun Chen and Patricia Angela R. Abu (2024). Recorded ECG Digitization Method with Automatic Reference Voltage Selection for Telemonitoring and Diagnosis. Diagnostics, 14(17), 1910. (SCI)
9. Lee, Z. J., Yang, M. R., & Hwang, B. J. (2024). A Sustainable Approach to Asthma Diagnosis: Classification with Data Augmentation, Feature Selection, and Boosting Algorithm. Diagnostics, 14(7), 723. (SCI)
10. Pan, J. S., Zhang, Z., Chu, S. C., Lee, Z. J., & Li, W. (2023). Application of Diversity-Maintaining Adaptive Rafflesia Optimization Algorithm to Engineering Optimisation Problems. Symmetry, 15(11), 2077. (SCI)
11. Lee, Z. J., & Luo, X. (2023). Predicting Rainfall-induced Landslide Using Bee Colony Algorithm Based on Support Vector Regression. Recent Advances in Computer Science and Communications (Formerly: Recent Patents on Computer Science), 16(1), 33-37. (EI)
12. Chen, Y. F., Guo, X. Y., Chai, H. D., Lin, Y. T., Zhu, Y. W., Huang, J. H., & Lee, Z. J. (2023, October). A building safety inspection system with modified ResNet50. In Third International Conference on Signal Image Processing and Communication (ICSIPC 2023) (Vol. 12916, pp. 241-246). SPIE. (EI)
13. Lee, Z. J., Lin, Y., Chen, Z. Y., Yang, Z., Fang, W. G., & Lee, C. H. (2023, February). Ensemble Deep Learning Applied to Predict Building Energy Consumption. In 2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI) (pp. 339-341). IEEE. (EI)
14. Lee, Z. J., Lin, Y., Yang, Z., Chen, Z. Y., Fan, W. G., & Lee, C. H. (2023, February). Novel Automatic Feature Engineering for Carbon Emissions Prediction Base on Deep Learning. In 2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI) (pp. 203-206). IEEE. (EI)
15. Chen, S. J., Jian, L. P., Lin, J. N., Chen, M. N., Shen, J. W., Wang, Y. Y., & Lee, Z. J. (2022). An Intelligent High-formwork Support Monitoring System. Artificial Intelligence Evolution, 160-169. (ISSN: 2717-5944)
16. Xi, C., Xiong, B., Ye, Y. S., He, H. M., Zhang, N. P., & Lee, Z. J. (2022). A Textile Manufacturing Information System with Exponential Smoothing Method. Artificial Intelligence Evolution, 54-66.
17. Chen, Z. Z., Li, R. J., He, X. Y., Lian, Z. X., & Lee, Z. J. (2022). Data Analytics for COVID-19 Pandemic. Artificial Intelligence Evolution, 17-26.
18. Lee, Z. J., Lee, C. Y., Chang, L. Y., & Sano, N. (2021). Clustering and Classification Based on Distributed Automatic Feature Engineering for Customer Segmentation. Symmetry, 13(9), 1557. (SCI)
19. Lee, C. Y., Lee, Z. J., Huang, J. Q., Ye, F. L., Yao, J., Ning, Z. Y., & Meen, T. H. (2021). Hybrid Algorithm Based on Simulated Annealing and Bacterial Foraging Optimization for Mining Imbalanced Data. Sensors and Materials, 33(4), 1297-1312. (SCI)
20. Zne-Jung Lee*, Chou-Yuan Lee, So-Tsung Chou, Wei-Ping Ma, Fulan Ye, and Zhen Chen, (2020). “A Hybrid System for Imbalanced Data Mining”, Microsystem Technologies, 26 (9), pp. 3043-3047. (SCI)
21. Ye, F. L., Lee, C. Y., Lee, Z. J., Huang, J. Q., & Tu, J. F. (2020). Incorporating Particle Swarm Optimization into Improved Bacterial Foraging Optimization Algorithm Applied to Classify Imbalanced Data. Symmetry, 12(2), 229, 2020. (SCI)
22. Lee, Z. J., & Lee, C. Y. (2020). A parallel intelligent algorithm applied to predict students dropping out of university. Journal of Supercomputing, 76(2), 1049-1062, 2020. (SCI)
23. Zne-Jung Lee*, Hsuang Huang, Chou-Yuan Lee, Jiang Yihuo, and Chun-Yen Chang, “A Study on the Sustainable Development for Senior Learners”, Sustainability, 11(22), 6338, 2019. (SSCI/SCI)
24. Zne-Jung Lee, Wei-Ping Ma, Chou-Yuan Lee, So-Tsung Chou, Jianqiong Huang, Fulan Ye, and Xiaolu Meng, “A Hybrid Intelligent Algorithm Applied to Analyze Asthma Data”, Basic & Clinical Pharmacology & Toxicology, 124, 15-16, 2019. (SCI)
25. Lee, C. Y., Lee, Z. J., Huang, J. Q., Ye, F. L., Ning, Z. Y., & Yang, C. F. (2019). Urban Air Quality Analysis and Forecast Based on Intelligent Algorithm with Parameter Optimization and Decision Rules. Applied Sciences, 9(24), 5445, 2019. (SCI)
26. Liang, Q., Chu, S. C., Song, P. C., Zhao, J., Lee, Z. J., & Pan, J. S. (2024, July). A Multi-objective Evolutionary Algorithm based on Hierarchical Grouping for Large-scale Multi-objective Optimization. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 343-346). (CCF C类)

1. 2020-2024年入选全球前2%顶尖科学家终身科学影响力排行榜
2. 入选福建省普通高等学校“十四五”规划教材建设项目
3. 2024年入选桐江学者讲座教授
4. 2024年入选The international academic organization ScienceFather awarded the "Best Researcher Award"
5. 2021年入选福州市长乐区第三届优秀人才
6. 2019-2020年全国高等院校计算机基础教育研究会学术成果推优《零基础学R语言数据分析:从机器学习、数据挖掘、文本挖掘到大数据分析》入选优秀教材奖
7. 2019年入选福州市试验区“外专百人计划”领军人才
8. 2018年入选福建省高层次人才C 类。

人工智能、机器学习、多模态语言大模型(LLM)。惟碍于规定不能担任硕士生第一导师。