2023年6月毕业于中山大学，获得通信与信息系统博士学位，此前分别于厦门大学、北京邮电大学获得工学硕士和学士学位。

2023年7月加入光明实验室，主要研究方向包括智能信号处理与多模态融合感知。近年来，潘萍平博士在人工智能与雷达信号处理交叉的前沿方向持续深入研究，累计发表高水平学术论文20余篇，其中以第一作者/通讯作者身份在IEEE TNNLS、TGRS、MSSP、AAAI等国际顶级期刊与会议上发表论文6篇，申请国家发明专利2件，主持广东省自然科学基金面上项目项目1项。

[1]Pingping Pan, Yunjian Zhang, Jinyu Liu. TFD-Net: Towards Intelligent Time-Frequency Mode Decomposition with Practical Applications, AAAI-2026. (CSRankings, CCF-A)

[2]Pingping Pan, Yunjian Zhang, You Li, Yishan Ye, Wei He, Yutao Zhu, Renzhong Guo. Interpretable optimization-inspired deep network for off-grid frequency estimation, IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 8, pp. 14816-14828, 2025. (中科院1区Top)

[3]Yunjian Zhang, Pingping Pan*, You Li, Renzhong Guo. Efficient off-grid frequency estimation via ADMM with residual shrinkage and learning enhancement, Mechanical Systems and Signal Processing, vol. 224, p. 112200, 2025. (中科院1区Top)

[4]Pingping Pan, Yunjian Zhang, Zhenmiao Deng, Fan Shaocan, Huang Xiaohong.TFA-Net: A deep learning-based time-frequency analysis tool, IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 10, pp. 9274-9286, 2023. (中科院1区Top)

[5]Pingping Pan, Yunjian Zhang, Zhenmiao Deng, Gang Wu. Complex-valued frequency estimation network and applications to its superresolution of radar range profiles, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, 2022. (中科院1区Top)

[6]Pingping Pan, Yunjian Zhang, Zhenmiao Deng, Wei Qi. Deep learning based 2-D frequency estimation of multiple sinusoidals, IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 10, pp. 5429-5440, 2021. (中科院1区Top)