个人简介：

广东技术师范大学数学与系统学院讲师。主要从事机器学习与模式识别、深度学习领域研究，发表SCI论文10余篇，参与国家自然科学基金面上项目1项，主持省级科研项目一项。

教育背景：2014年获武汉大学信息与计算科学专业学士学位，2017年获中山大学应用统计专业硕士学位，2020年获中山大学统计学专业博士学位。

主讲课程：python语言与数据分析、大数据查询与处理、大数据分析与实践、应用多元统计分析、统计学选举、高等代数选讲、高等数学等。

研究方向：机器学习与模式识别、深度学习

代表性科研项目：

1.广东省基础与应用基础研究基金项目，广东省科技厅，基于多尺度相似性度量的深度领域自适应算法与应用，2020/9-2023/9，10万，主持。

代表性论文:

[1] P. F. Ge, C. X. Ren, X. L. Xu, H. Yan, “Unsupervised Domain Adaptation via Deep Conditional Adaptation Network”, Pattern Recognition, vol. 134, 2023.

[2] P. F. Ge # , C. X. Ren # , D. Q. Dai, J. S. Feng, S. C. Yan, “Dual Adversarial Autoencoders for Clustering”, IEEE Transactions on Neural Networks and Learning System, vol. 31, no. 4, pp. 1417–1424, 2020.

[3] C. X. Ren # , P. F. Ge # , D. Q. Dai, H. Yan, “Learning Kernel for Conditional Moment-Matching Discrepancy-Based Image Classification”, IEEE Transactions on Cybernetics, vol. 51, no. 4, pp. 2006–2018, 2021.

[4] C. X. Ren, P. F. Ge, P. Y. Yang, S. C. Yan, “Learning Target Domain Specific Classifier for Partial Domain Adaptation”, IEEE Transactions on Neural Networks and Learning System, vol. 32, no. 5, pp. 1989-2001, 2021.

[5] Y.F. Yu, Y. Zhang, L. Chen, P. F. Ge, C.L. Chen, “Multi-Scale Enhanced Features Correlation Filters Learning with Dual Second-Order Difference for UAV Tracking”, IEEE Transactions on Intelligent Vehicles, DOI 10.1109/TIV.2024.3355171 , 2024.

[6] C. X. Ren, B. H. Liang, P. F. Ge, Y. M. Zhai, Z. Lei, “Domain Adaptive Person Re-Identification via Camera Style Generation and Label Propagation”, IEEE Transactions on Information Forensics and Security, vol. 15, pp. 1290–1302, 2020.

[7] C. X. Ren, J. Z. Li, P. F. Ge, X. L. Xu, “Deep Metric Learning via Subtype

Fuzzy Clustering”, Pattern Recognition, vol. 90, pp. 210–219, 2019.

[8] Y. W. Luo, C. X. Ren, P. F. Ge, K. K. Huang, Y. F. Yu, “Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment”, in Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2020, pp. 5029–5036. (oral)

[9] M. X. Li, Y. M. Zhai, Y. W. Luo, P. F. Ge, C. X. Ren, “Enhanced Transport Distance for Unsupervised Domain Adaptation”, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 13936–13944.

办公邮箱：gepengfei@gpnu.edu.cn