郭俊奇

基本信息

郭俊奇

  •   职称:副教授
  •   邮箱:guojunqi@bnu.edu.cn
 

教育及工作经历

  • 2015-至今,北京师范大学,信息科学与技术学院,副教授
  • 2010-2015,北京师范大学,信息科学与技术学院,讲师
  • 2004-2010,北京大学,工学博士
  • 2000-2004,西安电子科技大学,工学学士

社会兼职

  • 北京物联网学会常务理事(2019-2021)

研究领域

  • 智能感知与教育应用:穿戴式体征数据感知与计算、课堂教学过程AI评测
  • 新一代通信技术:蜂窝异构网络物理层安全、5G新空口协议优化、通信信号处理

教学课程

  • 本科:电子信息前沿技术(必修)、现代通信原理(必修)、信息安全基础和实践(选修)
  • 研究生:数字通信理论(学位基础课)

近期科研项目

  • 主持:国家自然科学基金面上项目,基于多模态生理信号驱动的学习者沉浸体验评估模型研究,直接经费50万,2020.01-2023.12.
  • 主持:国家自然科学基金青年科学基金项目,多用户OFDM系统上行信号迭代接收技术研究,24万,2015.01-2017.12.
  • 主持:北京师范大学基础教育大数据应用研究院项目,面向智能穿戴的青少年体质健康AI评价模型,50万,2018-2019.
  • 主持:北京师范大学未来教育高精尖创新中心项目,可穿戴的青少年体质健康实时监测系统,98万,项目号:BJAICFE2016IR-004,2016-2019.
  • 主持:企业横向项目,基于人工智能的课堂教学评测系统,150万,2020-2021.
  • 主持:企业横向项目,面向运动测评的PPG生理信号特征提取方案,5万,2020-2021.
  • 主持:北京师范大学教学建设与改革项目,基于知识图谱式教学模式的“电子信息前沿技术”课程教学改革探索,2万,2018-2019.
  • 主持:北京师范大学教学建设与改革项目,《数字通信》课程建设与教学改革研究,2012-2014.
  • 主持:北京师范大学自主科研基金一般项目(教师),基于正交频分复用系统的4G移动通信上行信号迭代检测技术研究,2012-2014.
  • 参与:国家自然科学基金重点项目,水下节点高速通信理论与关键技术,2015.01-2019.12.
  • 参与:国家自然科学基金面上项目,基于传感系统的物体结构故障诊断方法研究,2012.01-2015.12.
  • 参与:国家自然科学基金面上项目,物联网环境下基于语义的主动性事件链接网络模型研究,2014.01-2017.12.
  • 参与:国家自然科学基金青年科学基金项目,面向绿色无线通信的高能效无线传输技术研究,2014.01-2016.12.
  • 参与:国家自然科学基金重点项目,水下节点高速通信理论与关键技术,2015.01-2019.12.
  • 参与:北京师范大学自主基金重点项目,物联网环境下基于语义链的知识表示与知识自动获取关键技术研究,2011.01-2013.12.

近期部分期刊论文

  • Junqi Guo, Lan Yang, Anton Umek, etc. A Random Forest-Based Accuracy Prediction Model for Augmented Biofeedback in a Precision Shooting Training System. Sensors, 20(16), 2020, https://doi.org/10.3390/s20164512. (SCI检索, IF=3.427)
  • Guo Junqi, Shen Guicheng, Su Yichen, etc. Field of experts optimization-based noisy image retrieval. Software: Practice and Experience, DOI:10.1002/spe.2788, 2020. (SCI检索, IF=1.931)
  • Guo Junqi, Li Chuyang, Zhang Guangzhi, etc. Blockchain-Enabled Digital Rights Management For Multimedia Resources of Online Education, Multimedia Tools and Applications, V‏olume 79, Issue 15-16, pp:9735-9755, APR 2020. (SCI检索, IF=2.313)
  • Junqi Guo, Yazhu Dai, Chixiang Wang, etc. A physiological data-driven model for learners' cognitive load detection using HRV-PRV feature fusion and optimized XGBoost classification, Software: Practice and Experience, July 30, 2019, DOI:10.1002/spe.2730. (SCI检索, IF=1.931)
  • Junqi Guo, Lan Yang, Rongfang Bie, etc. An XGBoost-based physical fitness evaluation model using advanced feature selection and Bayesian hyper-parameter optimization for wearable running monitoring, Computer Networks, Volume 151, 14 March 2019, pp: 166-180. (SCI检索, IF=2.589)
  • Guo Junqi, Zhou Xi, Sun Yunchuan, etc. Smartphone-Based Patients' Activity Recognition by Using a Self-Learning Scheme for Medical Monitoring, Journal of Medical Systems, 2016.6, 40(6). (SCI检索, IF=2.398)
  • Guo Junqi, Xie Xiaobo, Bie Rongfang, etc. Structural health monitoring by using a sparse coding-based deep learning algorithm with wireless sensor networks, Personal and Ubiquitous Computing, 2014, 18(8): 1977~1987. (SCI检索, IF= 2.215)
  • Guo Junqi, Zhang Hongyang, Sun Yunchuan, Bie Rongfang. Square-root unscented Kalman filtering-based localization and tracking in the Internet of Things, Personal and Ubiquitous Computing, 2014, 18(4): 987~996. (SCI检索, IF= 2.215)
  • Yu Xiao, Han Congcong, Guo Junqi(corresponding author), etc. The role of superior image composition in children's analogical reasoning, Software: Practice and Experience, Nov. 2019, DOI: 10.1002/spe.2767. (SCI检索, IF=1.931)
  • Hao Wu, Yueli Li, Jie Xiong, Xiaohan Bi, Linna Zhang, Rongfang Bie, Junqi Guo (corresponding author). Weighted-learning-instance-based retrieval model using instance distance, Machine Vision and Applications, October 2018, pp: 1-14. (SCI检索, IF=1.971)
  • Wu Hao, Bie Rongfang, Guo Junqi (corresponding author), Meng Xin, Wang Shenling. Optimized CNN Based Image Recognition through Target Region Selection, Optik-International Journal for Light and Electron Optics, 2018, 156: 772~777. (SCI检索, IF= 1.191)
  • Wang Shengling, Li Luyun, Sun Weiman, Guo Junqi (corresponding author), Bie Rongfang, Lin Kai. Context Sensing System Analysis for Privacy Preservation Based on Game Theory, SENSORS, 17(2), 2017. (SCI检索, IF=3.014)
  • Wu Hao, Bie Rongfang, Guo Junqi (corresponding author), Meng Xin, Zhang Chenyun. CNN refinement based object recognition through optimized segmentation, Optik-International Journal for Light and Electron Optics, 150: 76~82, 2017. (SCI检索, IF= 1.191)
  • Xu Shuaijing, Guo Junqi, Zhang Guangzhi. Automated Detection of Multiple Lesions on Chest X-ray Images: Classification Using a Neural Network Technique with Association-Specific Contexts. APPLIED SCIENCES-BASEL, Vol.10, Issue 5, MAR 2020. (SCI检索, IF= 2.474)
  • Xiaocui Li, Zhangbing Zhou, Junqi Guo, etc. Aggregated multi-attribute query processing in edge computing for industrial IoT applications. Computer Networks, Volume 151, 14 March 2019, pp: 114-123. (SCI检索, IF=2.589)
  • Xiaohan Bi, Hao Wu, Huating Xu, Rongfang Bie, Junqi Guo. Sparse Coding Based Multi-Option Semantic Composition. Optik-International Journal for Light and Electron Optics, Available online 2 February 2019. (SCI检索, IF= 1.191)
  • Hao Wu, Rongfang Bie, Junqi Guo, etc. Semantic Constraint Based Target Object Recognition. Optik-International Journal for Light and Electron Optics, 156: 791-796, 2018. (SCI检索, IF= 1.191)
  • Hao Wu, Rongfang Bie, Junqi Guo, etc. Sparse coding based few learning instances for image retrieval. Multimedia Tools and Applications, July 2018, pp: 1-15. (SCI检索, IF= 1.541)
  • Junqi Guo, Ke Shan, Hao Wu, etc. Research on Facial Expression Recognition Technology Based on Convolutional-Neural-Network Structure. International Journal of Software Innovation (IJSI), Volume 6, Issue 4, 2018, pp: 103-116. (ESCI检索)

近期部分会议论文

  • Yu Zehui, Zhao Hang, Guo Cheng, Guo Junqi (corresponding author). A LSTM Network-based Learners' Monitoring Model for Academic Self-efficacy Evaluation Using EEG Signal Analysis, 2020 5th IEEE International Conference on Big Data Analytics (ICBDA), 2020, pp: 154-159. (EI检索)
  • Zhang Jianqi, Niu Yifan, Bai Ludi, Guo Cheng, Hu Yujie, Guo Junqi (corresponding author). Design and Implementation of a Face Recognition System Based on Edge Computing, IEEE International Conference on Power, Intelligent Computing and Systems(ICPICS), 2019, pp: 363-366, July 2019. (EI检索)
  • Li Chuyang, Guo Junqi (corresponding author), etc. A blockchain system for E-learning assessment and certification, IEEE International Conference on Smart Internet of Things (SmartIoT), 2019. (EI检索)
  • Guo Cheng, Hu Yujie, Niu Yifan, Guo Junqi (corresponding author). A Novel Reading and Writing Posture Reminding System based on Kalman Filtering Preprocessing and Neural Network Classification, IEEE International Symposium on Measurements and Networking, 2019. (EI检索)
  • Lan Yang, Junqi Guo (corresponding author), Yazhu Dai, etc. A Gradient-Boosting-Regression based Physical Health Evaluation Model for Running Monitoring by Using a Wearable Smartband System. The 13th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2018), Tianjin, China, June 20-22, 2018. (CCF-C类会议, EI检索)
  • Ke Shan, Junqi Guo (corresponding author), Wenwan You, etc. Automatic Facial Expression Recognition Based on a Deep Convolutional-Neural-Network Structure. 2017 IEEE International Conference on Software Engineering Research (SERA 2017), London, UK, June 7-9, 2017. (EI检索)
  • Wenwan You, Junqi Guo (corresponding author), Ke Shan, etc. Research on Peak-to-Average Power Ratio Reduction for FBMC-Based 5G Transmission, The 1st EAI International Conference on 5G for Future Wireless Networks (5GWN 2017), Beijing, China, April 21-23, 2017. (中国通信学会推荐会议, EI检索)
  • Zhang Xiguang, Shang Yong, Yan Shiwei, Li Dehuai, Guo Junqi. Adaptive Power and Access Control for Physical Security of Heterogeneous Cellular Network, 35th IEEE Military Communications Conference (MILCOM 2016), Baltimore, USA, Nov.1-3, 2016. (中国通信学会推荐会议, EI检索)
  • Zhong Zhipeng; Guo Junqi (corresponding author). Bit error rate analysis of a MIMO-generalized frequency division multiplexing scheme for 5th generation cellular systems, 2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT 2016), Harbin, China, Aug.20-22, 2016. (EI检索)
  • Zhou Xi, Guo Junqi (corresponding author), Bie Rongfang. Deep learning based Affective Model for Speech Emotion Recognition, 13th IEEE International Conference on Ubiquitous Intelligence and Computing, Toulouse, France, July 18-21, 2016. (EI检索)
  • Lu Di, Guo Junqi (corresponding author), Zhou Xi, etc. Self-learning Based Motion Recognition Using Sensors Embedded in a Smartphone for Mobile Healthcare, 11th International Conference on Wireless Algorithms, Systems and Applications (WASA 2016), Bozeman, USA, Aug.8-10, 2016. (CCF-C类会议, EI检索)

参与著作

  • 《区块链技术现状与知识区块链设计白皮书》,北京师范大学知识区块链研究中心,2019年3月
  • 《物联网架构——物联网技术与社会影响》, 别荣芳, 孙运传, 郭俊奇, 王慎玲等译,科学出版社, 字数:394万, 2013年1月.

奖     励

  •  第七届北京市高校青年教师教学基本功比赛理工A组二等奖,北京市教育工会颁发,2011
  •  北京师范大学优秀本科论文指导教师,2020
  •  北京师范大学创新创业大赛校级铜奖指导教师,2018
  •  北京师范大学“本科生科研基金”优秀项目指导教师,2018
  •  北京师范大学高等教育教学成果一等奖,基于SPOC的“嵌入式”中外合作教学新模式的探索与实践,2017
  •  北京师范大学“国家级大学生创新创业训练计划”优秀项目指导教师,2017
  •  北京师范大学“导师学长制”优秀新生导师,2015-2016学年
  •  北京师范大学优秀本科论文指导教师,2016
  •  北京师范大学“国家级大学生创新创业训练计划”优秀项目指导教师,2016
  •  校级优质课程奖一等奖,2015
  •  北京师范大学校级优秀辅导员,2014
  •  北京师范大学本科教学奖,2014
  •  北京师范大学通鼎青年教师奖(本科教学奖),2013
  •  第十二届北京师范大学青年教师教学基本功比赛一等奖、最佳教态奖,2010
  •  学院建设贡献奖,2011~2017

指导学生项目

  • 2020年国家级大学生创新创业训练计划项目:基于人工智能技术的教师教学行为分析系统,指导教师
  • 2020届本科生毕设:基于统计建模与集成学习的课堂教学评测系统,已评校优,指导教师
  • 2018年国家级大学生创新创业训练计划项目:基于DTW语音识别的交互式唐诗早教机器人设计与实现,指导教师
  • 2017年国家级大学生创新创业训练计划项目:基于Arduino的读写姿势提醒器的设计与实现,已评校优,2018年北京师范大学创业大赛铜奖,指导教师
  • 2016年国家级大学生创新创业训练计划项目:穿戴式实时体质监测体统中数据分析模型的构建与评估,已评校优,指导教师
  • 2016届本科生毕设:面向第五代蜂窝移动通信(5G)的广义频分复用(GFDM)技术研究,已评校优,指导教师