郑 剑， 博士/副教授，2022年毕业于重庆邮电大学获博士学位。主要研究领域包括异常检测，数据分类，神经网络等。以第一作者发表SCI收录论文23余篇，文章主页：https://orcid.org/0000-0001-9741-9526。

联系方式：E-mail: zhengjian1@163.com , Tel:13678461289

（1）近3年主持的科研项目

[1] 重庆市自然科学基金项目（面上）：基于多粒度神经网络的金融风控领域高维

大数据异常值挖掘模型研究与验证，项目号：CSTB2025NSCQ-GPX0802，

2025-7至2028-06，主持，在研。

[2] 重庆市教委科学技术青年项目1项。(基于深度学习的生态数据异常检测研究

及模型验证NOKJQN20230801。主持，在研)

[3] 重庆市教委科学技术青年项目1项。(气象大数据预测模型与验证研究

NOKJQN201903003。主持，已结题)

（2）近3年发表论文（第一作者，*通讯作者）

1Jian Zheng*, et al. An anomaly detection method for conformal mechanism. Egyptian Informatics Journal, 2区, 2025

2Jian Zheng*, et al. Detection to anomalous data using hypersphere method with mapping transformation. Expert System with Applications.1区 top, 2025

3Jian Zheng*, et al. Binary classification for imbalanced data using data conformity mechanism.Multimedia Systems, 3区, 2025.

4Jian Zheng*, et al. Detection to false data for smart gird. Cybersecurity, 4区, 2025.

5Jian Zheng*, et al. An irrelevant attribute resistance approach to binary classification. Information Sciences,1区 top, 2024

6Jian Zheng*, et al. A fuzzy detection approach to high-dimensional anomalies.Multimedia Systems, 3区, 2024

7Jian Zheng*, et al. Binary classification for imbalanced datasets using twin hyperspheres based on conformal method. Cluster Computing, 3区, 2024

8Jian Zheng*, et al. Anti-noise twin-hyperspheres with density fuzzy for binary classification to imbalanced data with noise. Complex & Intelligent Systems, 2区, 2023

9Jian Zheng*, et al. Conformal transformation twin- hyperspheres for highly imbalanced data binary classification. The 9th IEEE International Conference on Data Science and Advanced Analytics. CCF C会议, SCI收录, 2023.