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孔万增 教授

博士生导师

计算机科学与技术

脑机接口,可穿戴计算

kongwanzeng@hdu.edu.cn
杭州电子科技大学下沙校区信仁楼515
0571-86878578
  • 孔万增,博士,教授,博士生导师,现任脑机协同智能技术(科技部)国际联合研究中心副主任,浙江省人机物联技术国际科技合作基地副主任。入选浙江省新世纪151人才工程,浙江中青年学科带头人,浙江省海外高层次回国留学人才,担任国际电气电子工程师协会(IEEE)生物医学信号处理技术委员会委员,Journal of Neuroscience MethodsSCI 期刊编委,中国人工智能学会认知系统与信息处理专业委员会副秘书长。

        主要研究方向为:人工智能与模式识别,嵌入式可穿戴计算,脑机交互与认知计算等。先后主持(完成)国家国际科技合作专项(政府间协议项目),国家自然科学基金项目,武器装备预研联合基金,国防重点实验室开放基金、省重点研发计划项目、中国博士后科学基金,浙江省重大科技专项以及企事业委托开发课题多项。发表SCI期刊论文20余篇,授权国家发明专利10项,软件著作权12项。实验室与罗马大学、美国明尼苏达大学,德国汉堡大学以及瑞士伯尔尼大学建立良好国际合作研究关系,每年接受多名国外研究生来访并资助多名研究生出国合作交流。

        实验室地址:第一教学楼南515室,电话:0571-86878578

        电子邮箱:kongwanzeng@hdu.edu.cn

  • 1. Yong Peng, Leijie Zhang, Wanzeng Kong, Feiwei Qin, Jianhai Zhang: Joint low-rank representation and spectral regression for robust subspace learning. Knowl. Based Syst. 195: 105723 (2020)

    2. Yong Peng, Qingxi Li, Wanzeng Kong, Jianhai Zhang, Bao-Liang Lu, Andrzej Cichocki. Joint semi-supervised feature auto-weighting and classification model for EEG-based cross-subject sleep quality evaluation. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, May 4-8, pages 946-950, 2020

    3. Wanzeng Kong, Luyun Wang, Sijia Xu, Fabio Babiloni, Hang Chen: EEG Fingerprints: Phase Synchronization of EEG Signals as Biomarker for Subject Identification. IEEE Access 7: 121165-121173 (2019)

    4. Wanzeng Kong, Xianghao Kong, Qiaonan Fan, Qibin Zhao, Andrzej Cichocki:
    Task-free brainprint recognition based on low-rank and sparse decomposition model. Int. J. Data Min. Bioinform. 22(3): 280-300 (2019)

    5. Ming Hou, Jiajia Tang, Jianhai Zhang, Wanzeng Kong, Qibin Zhao: Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling. NeurIPS 2019: 12113-12122

    6. Yong Peng, Rixin Tang, Wanzeng Kong, Jianhai Zhang, Feiping Nie, Andrzej Cichocki: Joint Structured Graph Learning and Clustering Based on Concept Factorization. ICASSP 2019: 3162-3166

    7. Yong Peng, Leijie Zhang, Wanzeng Kong, Feiping Nie, Andrzej Cichocki: Joint Structured Graph Learning and Unsupervised Feature Selection. ICASSP 2019: 3572-3576

    8. Wanzeng Kong, Bei Jiang, Qiaonan Fan, Li Zhu, Xuehui Wei: Personal Identification Based on Brain Networks of EEG Signals. Int. J. Appl. Math. Comput. Sci. 28(4): 745-757 (2018)

    9. Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie: Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification. Complexity 2018: 2857594:1-2857594:11 (2018)

    10. Kong, W., Guo, S., Long, Y. et al. Weighted extreme learning machine for P300 detection with application to brain computer interface, J Ambient Intell Human Comput (2018). https://doi.org/10.1007/s12652-018-0840-1

    11. Wanzeng Kong, Luyun Wang, Jianhai Zhang, Qibin Zhao, Junfeng Sun: The Dynamic EEG Microstates in Mental Rotation. Sensors 18(9): 2920 (2018)

    12. Yong Peng, Rixin Tang, Wanzeng Kong, Feiwei Qin, Feiping Nie. Parallel vector field regularized non-negative matrix factorization for image representation. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, April 15-20, pages 2216-2220, 2018.

    13. Hong Zeng, Guojun Dai, Wanzeng Kong, Fangyue Chen, Luyun Wang. A Novel Nonlinear Dynamic Method for Stroke Rehabilitation Effect Evaluation Using EEG, IEEE Transactions on Neural Systems and Rehabilitation Engineering,2017,25(12) 2488-2497

    14. Wanzeng Kong, Zhanpeng Zhou, Bei Jiang, Fabio Babiloni, Gianluca Borghini: Assessment of driving fatigue based on intra/inter-region phase synchronization. Neurocomputing 219: 474-482 (2017)

    15. Wanzeng Kong, Jinshuai Yu, Ying Cheng, Weihua Cong, Huanhuan Xue: Automatic Detection Technology of Sonar Image Target Based on the Three-Dimensional Imaging. J. Sensors 2017: 8231314:1-8231314:8 (2017)

    16. Wanzeng Kong, Qiaonan Fan, Luyun Wang, Bei Jiang, Yong Peng, Yanbin Zhang: Task-Free Brainprint Recognition Based on Degree of Brain Networks. ICONIP (2) 2017: 709-717

    17. Sanqing Hu, Hui Wang, Jianhai Zhang, Wanzeng Kong, Yu Cao, Robert Kozma: Comparison Analysis: Granger Causality and New Causality and Their Applications to Motor Imagery. IEEE Trans. Neural Networks Learn. Syst. 27(7): 1429-1444 (2016)

    18. Sanqing Hu, Xinxin Jia, Jianhai Zhang, Wanzeng Kong, Yu Cao: Shortcomings/Limitations of Blockwise Granger Causality and Advances of Blockwise New Causality. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2588-2601 (2016)

    19. Wanzeng Kong, Lingxiao Zhou, Yizhi Wang, Jianhai Zhang, Jianhui Liu, Shenyong Gao: A System of Driving Fatigue Detection Based on Machine Vision and Its Application on Smart Device. J. Sensors 2015: 548602:1-548602:11 (2015)

    20. Wanzeng Kong, Weicheng Lin, Fabio Babiloni, Sanqing Hu, Gianluca Borghini: Investigating Driver Fatigue versus Alertness Using the Granger Causality Network. Sensors 15(8): 19181-19198 (2015)

    21. Wanzeng Kong, Sanqing Hu, Jianhai Zhang, Guojun Dai: Robust and smart spectral clustering from normalized cut. Neural Computing and Applications 23(5): 1503-1512 (2013)

    22. Wanzeng Kong, Zhanpeng Zhou, Sanqing Hu, Jianhai Zhang, Fabio Babiloni, Guojun Dai: Automatic and Direct Identification of Blink Components from Scalp EEG. Sensors 13(8): 10783-10801 (2013)

    23. W Kong, X Zhao, S Hu, G Vecchiato, F Babiloni, Electronic evaluation for video commercials by impression index, Cognitive Neurodynamics,7(6),531-535,2013. (SCI, IF=1.742)

  • (1)国家重点研发计划政府间合作项目:基于张量网络的深度学习及其在脑运动康复中的应用,2450000元,01 / 2019-12 / 2021,主持
    (2)国家国际科技合作专项:基于EEG / EMG的卒中康复与神经预测系统的合作研究,RBM900,000,01 / 2016-12 / 2018,PI。
    (3)浙江省重点研发计划:可穿戴式外骨骼机器人帮助老年人和残疾人的关键技术研究,250万元,项目负责人01 / 2018-12 / 2020。
    (4)国家自然科学基金:独立于任务的脑模式识别关键技术研究,72万元,01 / 2017-12 / 2020,主持。
    (5)国家自然科学基金面上项目:建立脑电信号脑功能网络运动意识的分类研究,25万元,项目负责人,01 / 2012-12 / 2014,主持。
    (6)武器装备预研联合基金:基于深度学习的水下目标主动与被动特征提取研究,RMB200,000,08 / 2017-12 / 2018,主持
    (7)浙江省重大科技攻关项目重大国际合作研究项目:基于生物电技术的车辆行驶安全监控与预警系统研究与开发,90万元,项目负责人,01 / 2011-12 / 2013,项目负责人。
    (8)浙江省重大科技攻关项目:基于可重构技术的工业机器视觉系统的研究与应用,60万元,01 / 2008-12 / 2010,项目负责人

  • 1.  “面向智能健康的脑机协同智能关键技术及应用”,获2019年浙江省科学技术进步奖三等奖,排名1/7

    2. “基于BRAIN-计算机界面的主动康复与效果评估系统”,2018年中国电子学会科学技术奖三等奖,排名1/6

    3. “基于BRAIN-人机界面的主动康复与效果评估系统”,2018年吴文俊,人工智能科学技术发明奖三等奖,排名第1/4

    4.  2018年中意大学国际科技合作杰出贡献奖

    5. 中国海外华人团队贡献奖,2014年BRAIN-计算机界面和认知计算创新团队,排名3/7