个人简介
教育经历
1994-1998，北京师范大学电子系，电子学与信息系统学士
1998-2001，北京师范大学信息科学学院，通信与信息系统硕士研究生，导师：谢詠珪
2001-2004，中国科学院自动化所，模式识别与智能系统，博士研究生，导师：戴汝为
研究工作经历
2004-2007，北京师范大学，信息科学与技术学院，讲师
2007-2014，北京师范大学，信息科学与技术学院，副教授
2019.8-2020.8，佛罗里达大学工学院，高级访问学者
2014-至今，北京师范大学，人工智能学院（原信息科学与技术学院），教授，博士生导师，2015-2019年任副院长（负责研究生人才培养）
近期论文
查看导师新发文章
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Shi, C.; Xin, X.; Zhang, J. Domain Adaptation Using a Three-Way Decision Improves the Identification of Autism Patients from Multisite fMRI Data. Brain Sci. 2021, 11(603). https://doi.org/10.3390/brainsci11050603
Shi, C.; Zhang, J.; Wu, X. An fMRI Feature Selection Method Based on a Minimum Spanning Tree for Identifying Patients with Autism. Symmetry 2020, 12, 1995. https://doi.org/10.3390/sym12121995
Chunyu Liu, Yi Kang, Lingxi Zhang and Jiacai Zhang*.Rapidly decoding image categories from ＭEG data using a multivariate short-time FC pattern analysis approach, IEEE Journal of Biomedical and Health Informatics, 2020.DOI: 10.1109/JBHI.2020.3008731
Chunyu Liu, Yuan Li, sutao song and Jiacai Zhang*.Decoding disparity categories in 3- dimensional images from fＭRI data using functional connectivity patterns, Cognitive Neurodynamics, ol.14,pp.169-79,2020.DOI:10.1007/s11571-019-09557-6
Chen, W., Chen, C. S., Yang, P., Bi, S. Y., Liu, J., Xia, M. R., . . . Zhang, J. C.*, Wang,Y.W.*, Wang, W. J. * (2019). Long-term Chinese calligraphic handwriting reshapes the posterior cingulate cortex: a VBM study. Plos One, 14(4):e0214917.
Xiangling Zhang, Ahmed Tlili, Ronghuai Huang, Tingwen Chang, Daniel Burgos*, Junfeng Yang, Jiacai Zhang*. A Case Study of Applying Open Educational Practices in Higher Education during COVID-19: Impacts on Learning Motivation and Perceptions, Sustainability 2020, 12(21), 9129; https://doi.org/10.3390/su12219129
Y. Gao, Y. Zhang, Z. Cao, X. Guo and J. Zhang, "Decoding Brain States From fMRI Signals by Using Unsupervised Domain Adaptation," in IEEE Journal of Biomedical and Health Informatics, vol. 24, no. 6, pp. 1677-1685, June 2020, doi: 10.1109/JBHI.2019.2940695.
Yufei Gao, Yameng Zhang, Hailing Wang, Xiaojuan, Jiacai Zhang. “Decoding Behavior Tasks From Brain Activity Using Deep Transfer Learning”. IEEE Access. vol:7. (2019): 43222-43232.
Chunyu Liu, Sutao Song, Xiaojuan Guo, Zhiyuan Zhu, Jiacai Zhang*. (2018). Image categorization from functional magnetic resonance imaging using functional connectivity. Journal of Neuroscience Methods, Volume 309(1):71-80. (SCI)
Wang X, Xu Y, Wang Y, Zeng Y, Zhang J*, Ling Z, Bi Y*. (2018). Representational similarity analysis reveals task-dependent semantic influence of the visual word form area. Sci Rep. 2018 Feb 14;8(1):3047. doi: 10.1038/s41598-018-21062-0. (SCI)
Y Gao， Y Zhou， B Zhou， L Shi， J Zhang*. (2017). Handling Data Skew in MapReduce Cluster by Using Partition Tuning. Journal of Healthcare Engineering, 2017;2017:1425102. doi: 10.1155/2017/1425102. (SCI)
Yu Qin, Yu Zhan, Changming Wang, Jiacai Zhang*, Li Yao, Xiaojuan Guo, Xia Wu & Bin Hu. (2016). Classifying Four-category Visual Objects Using Multiple ERP Components in Single-trial ERP. Cogn Neurodyn, 10(4):275-285. DOI 10.1007/s11571-016-9378-0. (SCI)
Li Han, Zhang Liang, Zhang Jiacai*, Wang Changming, Yao Li, Wu Xia, Guo Xiaojuan. (2015). Improving N1 classification by grouping EEG trials with phases of pre-stimulus EEG oscillations. Cogn Neurodyn (2015) 9(2):103–112. (SCI)
Xiong S, Cheng C, Wu X, Guo X, Yao L, Zhang J*. (2014). Working memory training using EEG neurofeedback in normal young adults. Biomed Mater Eng. 2014;24(6):3637-44. doi: 10.3233/BME-141191. (SCI)
Sutao Song, Xinyue Ma, Yu Zhan, Zhichao Zhan, Li Yao, Jiacai Zhang*. Bayesian Reconstruction of Multiscale Local Contrast Images from Brain Activity. Journal of Neuroscience Methods. 2013, ;220(1):39-45. doi: 10.1016/j.jneumeth.2013.08.020. (SCI)
Wang C, Xiong S, Hu X, Yao L, Zhang J*. Combining features from ERP components in single-trial EEG for discriminating four-category visual objects. JOURNAL OF NEURAL ENGINEERING, 2012 vol:9 iss:5 pg:056013. (SCI)
Guo X, Wang Y, Chen K, Wu X, Zhang J, Li K, Jin Z and Yao L (2014) Characterizing structural association alterations within brain networks in normal aging using Gaussian Bayesian networks. Front. Comput. Neurosci. 8:122. doi: 10.3389/fncom.2014.00122
Xu L, Fan T, Wu X, Chen K, Guo X, Zhang J and Yao L (2014) A pooling-LiNGAM algorithm for effective connectivity analysis of fMRI data. Front. Comput. Neurosci. 8:125. doi: 10.3389/fncom.2014.00125
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