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张晓炜


【来源:ued西甲赫塔菲官网 | 发布日期:2018-01-26 】     【选择字号:

   名:张晓炜

政治面貌:中共党员

    称:副教授、硕士生导师

    计算机应用技术研究所所长

所在系所:计算机应用技术研究所

    zhangxw@lzu.edu.cn

办公地址:飞云楼502

 

学习经历

1999.09-2003.06 uedbet,计算机科学与技术,工学学士

2003.09-2006.06 uedbet,计算机应用技术,工学硕士

2010.09-2016.06 uedbet,计算机应用技术,工学博士

 

工作经历

2006.07-2015.04,uedbet,讲师

2015.05-至今,uedbet,副教授

 

教学情况

主讲本科生课程:计算机导论、信息安全原理与技术

 

指导研究生情况

2017年开始招收计算机方向硕士研究生

 

研究方向

情感智能、机器学习、多模数据融合、知识图谱

 

招生专业

计算机科学方向(学硕/专硕)

 

项目成果

主持参与完成的项目:

科技部“973”计划项目1项(项目号2014CB744600

国家自然科学基金委员会青年基金项目1项(项目号61402211);

甘肃省省青年科技基金计划项目1项(项目号1208RJYA015);

 

目前在研项目:

科技部重点研发计划项目2项(项目号2019YFA0706200; 2017YFE0111900

 

发表论文及专著

发表SCI/EI论文20余篇,近5年主要的SCI/EI论文如下:

[1] Zhang X, Liu J, Shen J, et al. Emotion Recognition From Multimodal Physiological Signals Using a Regularized Deep Fusion of Kernel Machine[J]. IEEE Transactions on Cybernetics, 2020.IF=10.387SCI一区)

[2] Zhang X, Pan J, Shen J, et al. Fusing of Electroencephalogram and Eye Movement with Group Sparse Canonical Correlation Analysis for Anxiety Detection[J]. IEEE Transactions on Affective Computing, 2020. IF=6.288SCI二区)

[3] Zhang X, Shen J, ud Din Z, et al. Multimodal Depression Detection: Fusion of Electroencephalography and Paralinguistic Behaviors Using a Novel Strategy for Classifier Ensemble[J]. IEEE journal of biomedical and health informatics, 2019, 23(6): 2265-2275. IF=4.217SCI二区)

[4] Shen J, Zhang X, Hu B, et al. An Improved Empirical Mode Decomposition of Electroencephalogram Signals for Depression Detection[J]. IEEE Transactions on Affective Computing, 2019. IF=6.288SCI二区)

[5] Zhang X, Liang W, Ding T, et al. Individual Similarity Guided Transfer Modeling for EEG-based Emotion Recognition[C]//2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2019: 1156-1161. (CCF B)

[6] Zhang X, Wang Y, Zhao S, et al. Emotion recognition based on electroencephalogram using a multiple instance learning framework[C]//International Conference on Intelligent Computing. Springer, Cham, 2018: 570-578.

[7] Zhang X, Yao Y, Wang M, et al. Normalized mutual information feature selection for electroencephalogram data based on grassberger entropy estimator[C]//2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2017: 648-652. (CCF B)

[8] Zhao S, Zhao Q, Zhang X, et al. Wearable EEG-based real-time system for depression monitoring[C]//International Conference on Brain Informatics. Springer, Cham, 2017: 190-201.

[9] Zhang X, Hu B, Ma X, et al. Resting-State Whole-Brain Functional Connectivity Networks for MCI Classification Using L2-Regularized Logistic Regression[J]. IEEE Transactions on Nanobioscience, 2015, 14(2): 237-247. 237-247. IF=1.927SCI三区)

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