王海玲,上海工程技术大学 电子电气工程学院-k8凯发旗舰

王海玲 wang hailing

讲师/lecturer

研究领域为人工智能与脑科学 , 结合人工智能 , 信号处理等方法进行脑特征挖掘 , 包括情感智能 , 智慧医疗等

简介  about

动态   news

学术   academic

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王海玲   上海工程技术大学  电子电气工程学院   讲师

基本信息

 e-mail:wanghailing@sues.edu.cn    微信:18210751139       研究方向:神经生理信号处理与分析        学历 :博士研究生 

 教育背景

 2015.09-2020.01  北京师范大学    计算机应用技术专业    博士研究生  

 研究概况

 研究领域为人工智能与脑科学,结合人工智能、机器学习、信号处理与分析等方法,基于神经生理信号进行大脑特征挖掘方法研究,致力于运用信息学科的基本理论和方法,与认知神经科学相结合,揭示人类高级认知功能的脑神经机制。研究方向包括情感智能、智慧医疗、脑机接口等。目前主持国家自然科学基金1项,参与国家自然科学基金项目2项。

 发表论文 

 1. hailing wang  et al., a new fmri informed mixed-norm constrained algorithm for eeg source localization. ieee access. 2018, 6: 8258 - 8269. (sci, if: 4.098,jcr 1区) 

 2. hailing wang et al., exploring directed functional connectivity based on electroencephalography source signals using a global cortex factor-based multivariate autoregressive model. journal of neuroscience methods. 2019, 318: 6-16. (sci, if:2.785,jcr 2区) 

 3. hailing wang et al., identifying directed functional connectivity network for emotion recognition from high-density eeg. ieee transactions on affective computing. 2020 (accepted, sci, if: 7.512, jcr 1区) 

 4. xiaotong wen, hailing wang et al., dynamic top-down configuration by the core control system during working memory, neuroscience, 2018, 391(1):13-24. (sci, if: 3.382,jcr 2区) 

 5. yufei gao, yameng zhang, hailing wang et al., decoding behavior tasks from brain activity using deep transfer learning, ieee access, 2019, 7: 43222-43232. (sci, if: 4.098,jcr 1区) 

 6. ziyu li, xia wu*, xueyuan xu, hailing wang et al., the recognition of multiple anxiety levels based on electroencephalograph. ieee transactions on affective computing, 2019 (accepted, sci, if: 7.512, jcr1区) 

 7. xia wu, xueyuan xu, jianhong liu, hailing wang et al.,   supervised feature selection with orthogonal regression and feature weighting. ieee transactions on neural networks and learning systems. (accepted, sci, if: 8.793, jcr 1区) 

 8. ziyu li, hailing wang et al., working memory training using eeg neurofeedback based on theta coherence of brain regions. 2019 7th international winter conference on brain-computer interface (bci), ieee, 2019, 1-6. (ei) 

 9. hailing wang et al., an fmri informed eeg source localization method based on space-time-frequency structured constraints, organization of human brain mapping 2017. 

 10. tiantong zhou, hailing wang et al. a study of neural mechanism in emotion regulation by simultaneous recording of eeg and fmri based on ica, 2013 10th international symposium on neural networks, china, dalian: isnn2013. (ei) 

 11. cheng liu, hailing wang et al. eeg feature extraction and pattern recognition during right and left hands motor imagery in brain-computer interface. china, chongqing: bmei2012,  eee 2012, 363-367. (ei)



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