职称：教授、博士生导师/硕士生导师
职务：甘肃省可穿戴装备重点实验室主任
所在系所：计算机应用技术研究所
邮箱：bh@lzu.edu.cn
办公地址：飞云楼427
研究方向
情感计算、普适计算、心理生理计算、人工智能。
招生专业
硕士：
计算机科学与技术（081200）
电路与系统(080902)
信息与通信工程(081000)
电子信息(085400)
博士：
计算机应用技术(081203)
无线电物理(070208)
项目成果
主持参与完成的项目：
1.国家重点基础研究项目(973计划) 1项(项目号2014CB744600)：“基于生物、心理多模态信息的潜在抑郁风险预警理论与生物传感关键技术研究”
2.国家国际科技合作专项1项(项目号2013DFA11140)
3.国家自然科学基金国际合作项目1项(项目号61210010)：国家自然科学基金重大国际合作项目“基于生物信息反馈的普适心理干预关键问题的研究”
4.国家自然科学基金面上项目1项(项目号60973138)
5.欧盟框架7(FP7)项目1项(项目号248544)：“普适精神健康”
6.英国高等教育研究基金项目：“基于移动平台的生物传感关键技术”
目前主持在研项目：
1.国家重点基础研究项目(973计划) 1项(项目号2014CB744600)：“基于生物、心理多模态信息的潜在抑郁风险预警理论与生物传感关键技术研究”
2.国家国际科技合作专项1项(项目号2013DFA11140)
3.国家自然科学基金国际合作项目1项(项目号61210010)：国家自然科学基金重大国际合作项目“基于生物信息反馈的普适心理干预关键问题的研究”
4.国家自然科学基金面上项目1项(项目号60973138)
5.欧盟框架7(FP7)项目1项(项目号248544)：“普适精神健康”
6.英国高等教育研究基金项目：“基于移动平台的生物传感关键技术”
参与完成的项目：
1.国家重点基础研究项目(973计划) 1项(项目号2011CB711000)
发表论文及专著
发表SCI/EI论文400余篇，代表性SCI论文如下：
1.Zhang Xiaowei, Jian Shen, Zia ud Din, Jinyong Liu, Gang Wang, and Bin Hu. 2019. “Multimodal Depression Detection: Fusion of Electroencephalography and Paralinguistic Behaviors Using a Novel Strategy for Classifier Ensemble.” IEEEJournal ofBiomedical andHealthInformatics 23 (6): 2265-2275.
2.Sun, Shuting, Xiaowei Li, Jing Zhu, Ying Wang, Rong La, Xuemin Zhang, Liuqing Wei, and Bin Hu. 2019. “Graph Theory Analysis of Functional Connectivity in Major Depression Disorder with High-density Resting State EEG Data.” IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (3): 429-439.
3.Zong, Yuan, Wenming Zheng, Zhen Cui, Guoying Zhao, and Bin Hu. 2019. “Toward Bridging Microexpressions from Different Domains.” IEEE transactions on cybernetics.
4.Shen, Jian, Xiaowei Zhang, Bin Hu, Gang Wang, and Zhijie Ding. 2019. “An Improved Empirical Mode Decomposition of Electroencephalogram Signals for Depression Detection.” IEEE Transactions on Affective Computing.
5.Zhang, Tong, CL Philip Chen, Long Chen, Xiangmin Xu, and Bin Hu. 2018. “Design of Highly Nonlinear Substitution Boxes Based on I-Ching Operators.” IEEE Transactions on Cybernetics 48 (12): 3349-3358.
6.Zhang, Jiao, Xiping Hu, Zhaolong Ning, Edith C-H Ngai, Li Zhou, Jibo Wei, Jun Cheng, Bin Hu, and Victor CM Leung. 2018. “Joint Resource Allocation for Latency-sensitive Services over Mobile Edge Computing Networks with Caching.” IEEE Internet of Things Journal 6 (3): 4283-4294.
7.Wang, Xiaojie, Zhaolong Ning, Meng Chu Zhou, Xiping Hu, Lei Wang, Yan Zhang, Fei Richard Yu, and Bin Hu. 2018. “Privacy-preserving Content Dissemination for Vehicular Social Networks: Challenges and Solutions.” IEEE Communications Surveys & Tutorials 21 (2): 1314-1345.
8.Cai, Hanshu, Xiangzi Zhang, Yanhao Zhang, Ziyang Wang, and Bin Hu. 2018. “A Case-based Reasoning Model for Depression Based on Three-electrode EEG Data.” IEEE Transactions on Affective Computing.
9.Yang, Yang, Ning Zhong, Karl Friston, Kazuyuki Imamura, Shengfu Lu, Mi Li, Haiyan Zhou, Haiyuan Wang, Kuncheng Li and Bin Hu. 2017. “The Functional Architectures of Addition and Subtraction: Network Discovery Using fMRI and DCM.” Human Brain Mapping 38(6): 3210-3225.
10.Hu, Bin, Qunxi Dong, Yanrong Hao, Qinglin Zhao, Jian Shen and Fang Zheng. 2017. “Effective Brain Network Analysis with Resting-state EEG Data: A Comparison Between Heroin Abstinent and Non-addicted Subjects.” Journal of Neural Engineering 14(4): 046002.
荣誉获奖
1.Zhang Xiaowei, Jian Shen, Zia ud Din, Jinyong Liu, Gang Wang, and Bin Hu. 2019. “Multimodal Depression Detection: Fusion of Electroencephalography and Paralinguistic Behaviors Using a Novel Strategy for Classifier Ensemble.” IEEEJournal ofBiomedical andHealthInformatics 23 (6): 2265-2275.
2.Sun, Shuting, Xiaowei Li, Jing Zhu, Ying Wang, Rong La, Xuemin Zhang, Liuqing Wei, and Bin Hu. 2019. “Graph Theory Analysis of Functional Connectivity in Major Depression Disorder with High-density Resting State EEG Data.” IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (3): 429-439.
3.Zong, Yuan, Wenming Zheng, Zhen Cui, Guoying Zhao, and Bin Hu. 2019. “Toward Bridging Microexpressions from Different Domains.” IEEE transactions on cybernetics.
4.Shen, Jian, Xiaowei Zhang, Bin Hu, Gang Wang, and Zhijie Ding. 2019. “An Improved Empirical Mode Decomposition of Electroencephalogram Signals for Depression Detection.” IEEE Transactions on Affective Computing.
5.Zhang, Tong, CL Philip Chen, Long Chen, Xiangmin Xu, and Bin Hu. 2018. “Design of Highly Nonlinear Substitution Boxes Based on I-Ching Operators.” IEEE Transactions on Cybernetics 48 (12): 3349-3358.
6.Zhang, Jiao, Xiping Hu, Zhaolong Ning, Edith C-H Ngai, Li Zhou, Jibo Wei, Jun Cheng, Bin Hu, and Victor CM Leung. 2018. “Joint Resource Allocation for Latency-sensitive Services over Mobile Edge Computing Networks with Caching.” IEEE Internet of Things Journal 6 (3): 4283-4294.
7.Wang, Xiaojie, Zhaolong Ning, Meng Chu Zhou, Xiping Hu, Lei Wang, Yan Zhang, Fei Richard Yu, and Bin Hu. 2018. “Privacy-preserving Content Dissemination for Vehicular Social Networks: Challenges and Solutions.” IEEE Communications Surveys & Tutorials 21 (2): 1314-1345.
8.Cai, Hanshu, Xiangzi Zhang, Yanhao Zhang, Ziyang Wang, and Bin Hu. 2018. “A Case-based Reasoning Model for Depression Based on Three-electrode EEG Data.” IEEE Transactions on Affective Computing.
9.Yang, Yang, Ning Zhong, Karl Friston, Kazuyuki Imamura, Shengfu Lu, Mi Li, Haiyan Zhou, Haiyuan Wang, Kuncheng Li and Bin Hu. 2017. “The Functional Architectures of Addition and Subtraction: Network Discovery Using fMRI and DCM.” Human Brain Mapping 38(6): 3210-3225.
10.Hu, Bin, Qunxi Dong, Yanrong Hao, Qinglin Zhao, Jian Shen and Fang Zheng. 2017. “Effective Brain Network Analysis with Resting-state EEG Data: A Comparison Between Heroin Abstinent and Non-addicted Subjects.” Journal of Neural Engineering 14(4): 046002.
社会工作
国家特聘专家，国家海外高层次人才计划入选者，973首席科学家，享受国务院特殊津贴(2014年)，甘肃省政协委员，甘肃省可穿戴装备重点实验室主任，甘肃省领军人才，瑞士苏黎世联邦理工学院客座教授;IEEE Transactions on Computational Social Systems主编，IEEE Fellow，IET Fellow，AAIA Fellow，Chair of TC Computational Psychophysiology, IEEE SMC;教育部计算机学科教指委委员、科技委委员;国际社会神经科学中国分会副主席，ACM中国分会常务理事，中国科学院脑科学与智能技术卓越创新中心客座研究员等。
在第431次香山科学会议(2012年)上首次提出了“心理生理计算”理论，确立了针对认知功能和心理状态的数据驱动研究方法(科技日报，2012)。在Science(Oct.2, 2015)特刊“Advances in Computational Psychophysiology”上，美国科学院、医学院两院院士M. I. Posner教授评价：“心理生理计算将引领新的研究热潮”。
在国际期刊、学术会议上发表论文400余篇，出版英文专著3部，中文专著1部，申请专利30余项，获授权专利24项。担任了如Brain Informatics, CSCW, UbiComp等60多个国际会议主席或组委会主席，并应60多个国际会议和高水平大学的邀请做主题演讲。任Science特刊Advances in ComputationalPsychophysiology客座编辑，IEEE Transactions on ComputationalSocial Systems主编;IEEE Transactions Affective Computing等SCI收录国际期刊编委。