周月莹，博士，讲师。2023年于南京航空航天大学获工学博士学位。主要研究方向为机器学习、脑电信号分析和认知状态解码、脑疾病诊断等，近五年来在IEEE TIM、TNSRE、TCDS等期刊和ACM MM等会议上（参与）发表学术论文30余篇，其中第一作者(含共一作者) 发表SCI论文11篇，授权国家发明专利3项。
科研项目： 主持国家青年基金项目一项，主持山东省高等学校青年创新团队计划一项。
相关论文：
[1] Yueying Zhou, Pengpai Wang, Peiliang Gong, Peng Wan, Xuyun Wen, and Daoqiang Zhang*. Cross-subject mental workload recognition using bi-classifier domain adversarial learning. Cognitive Neurodynamics, 2025,19, 16.
[2] Yang Shao, Yueying Zhou, Peilaing Gong, Qianru Sun and Daoqiang Zhang*. A Dual-Adversarial Model for Cross-Time and Cross-Subject Cognitive Workload Decoding. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024, 32: 2324-2335.
[3] Yueying Zhou, Pengpai Wang, Peiliang Gong, Fulin Wei, Xuyun Wen*, Xia Wu*, and Daoqiang Zhang*. Cross-subject Cognitive Workload Recognition Based on EEG and Deep Domain Adaptation. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 1-12.
[4] Yueying Zhou, Ziming Xu, Pengpai Wang, Yifan Niu, Wu Xia and Daoqiang Zhang*. Cross-task Cognitive Workload Recognition Based on Domain Adaptation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022, 30:50-60.
[5] Yueying Zhou, Shuo Huang, Ziming Xu, Pengpai Wang, Xia Wu, and Daoqiang Zhang*. Cognitive workload recognition using EEG signals and machine learning: a review. IEEE Transactions on Cognitive and Developmental Systems, 2022, 14(3): 799-818.
联系邮箱：zhouyueying92@126.com, zhouyueying@lcu.edu.cn
