周月莹，博士，讲师。主要研究方向为机器学习、脑电信号分析和认知状态解码等，近五年来在IEEE TIM、TNSRE、TCDS等期刊和ACM MM等会议上发表学术论文20余篇，其中第一作者(含共一作者) 发表SCI论文9篇，授权国家发明专利1项。
近年来相关论文成果列表如下：
[1] 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.
[2] 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.
[3] 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.
[4] 周月莹, 公沛良, 王澎湃, 温旭云, 张道强*. 基于卷积神经网络和领域泛化的跨操作员认知负荷识别. 电子与信息学报，2023，45(8): 2796-2805.
[5] Yueying Zhou, Pengpai Wang, Peiliang Gong, Yanling Liu, Xuyun Wen, Wu Xia and Daoqiang Zhang*. Deep Domain Adaptation for EEG-based Cross-subject Cognitive Workload Recognition. In: Tanveer, M., Agarwal, S., Ozawa, S., Ekbal, A., Jatowt, A. (eds) Neural Information Processing. ICONIP 2022. Communications in Computer and Information Science (CCIS), 1792: 231–242, 2023. Springer, Singapore.
[6] Yueying Zhou, Lishan Qiao*, Weikai Li, Limei Zhang, Dinggang Shen*. Simultaneous Estimation of Low- and High-Order Functional Connectivity for Identifying Mild Cognitive Impairment. Frontiers in Neuroinformatics, 2018, 12(3).
[7] Yueying Zhou, Limei Zhang, Shenghua Teng, Lishan Qiao*, Dinggang Shen. Improving Sparsity and Modularity of High-Order Functional Connectivity Networks for MCI and ASD Identification. Frontiers in Neuroscience, 2018, 12(959).
[8] Guidan Fu, Yueying Zhou(共一), Peilaing Gong, Pengpai Wang, Wei Shao and Daoqaing Zhang*. A Temporal-Spectral Fused and Attention-Based Deep Model for Automatic Sleep Staging. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023, 31: 1008-1018.
[9] Xiao Jiang, Yueying Zhou(共一), Yining Zhang, Limei Zhang, Lishan Qiao*, De Leone Renato*. Estimating High-Order Brain Functional Networks in Bayesian View for Autism Spectrum Disorder Identification. Frontiers in Neuroscience, 2022, 16: 872848.
[10] Yanling Liu, Yueying Zhou, Daoqiang Zhang*. TcT: Temporal and channel Transformer for EEG-based Emotion Recognition. The 35th IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2022, July 21 -23, Shenzhen, China.
[11] Pengpai Wang, Yueying Zhou, Zhongnian Li, Shuo Huang and Daoqiang Zhang*. Neural Decoding of Chinese Sign Language with Machine Learning for Brain–Computer Interfaces. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021, 29: 2721-2732.
授权专利成果如下：
张道强, 许子明, 邬霞, 周月莹. 一种基于情绪脑电信号和多任务学习的人格评估方法. 授权号：CN113662545B 已授权
联系邮箱：zhouyueying92@126.com
