沈燕飞，博士，教授，博士生导师，体育工程学院副院长
教育背景
1995年9月至1999年7月 武汉大学 学士
1999年9月至2002年 7月 武汉大学 硕士
2011年9月至2014年 7月 中国科学院大学 博士
工作经历
2002.07-2015.03 中国科学院计算技术研究所助理研究员、副研究员
2015.03-2015.12 北京小米科技公司高级算法工程师
2015.12-2018.05 北京邮电大学副教授
2018.05-至今 北京体育大学体育工程学院教授、博士生导师
研究方向
智能体育装备、体育大数据
讲授课程
智能体育概论、程序设计C语言、数据结构与算法基础、计算机视觉
研究成果
[1] Bingyu Pan, Zhipei Huang, Jiankang Wu and Yanfei Shen, Primitive muscle synergies reflect different modes of coordination in upper limb motions. Primitive muscle synergies reflect different modes of coordination in upper limb motions. Med Biol Eng Comput 59, 2153–2163 (2021). https://doi.org/10.1007/s11517-021-02429-4.
[2] Bingyu Pan, Zhen Huang, Tingting Jin, Jiankang Wu, Zhiqiang Zhang, Yanfei Shen. Motor Function Assessment of Upper Limb in Stroke Patients. J Healthc Eng. 2021 Feb 24;2021:6621950. doi: 10.1155/2021/6621950. PMID: 33708365; PMCID: PMC7932780.
[3] Jianwei Li, Wei Gao, Yihong Wu, Yangdong Liu, Yanfei Shen. High-quality indoor scene 3D reconstruction with RGB-D cameras: a brief review. Computational Visual Media. 2021
[4] Jianwei Li, Qingyue Hu, Tianxiao Guo, Siqi Wang, Yanfei Shen. What and How Well You Exercised? An Efficient Analysis Framework for Fitness Actions. Journal of Visual Communication and Image Representation. 2021. https://doi.org/10.1016/j.jvcir.2021.103304
[5] Jianwei Li, Hainan Cui, Tianxiao Guo, Qingyue Hu, Yanfei Shen. Efficient Fitness Action Analysis Based on Spatio-temporal Feature Encoding[C].//IEEE International Conference on Multimedia and Expo (AI-Sports Workshop), ICME, 2020.
[6] Yuesen Li, Runqing Ma, Bruno Gonçalves, Bingnan Gong, Yixiong Cui, Yanfei Shen, Data-driven team ranking and match performance analysis in Chinese Football Super League, Chaos, Solitons & Fractals, Volume 141, 2020,
[7] Yuesen Li，Runqing Ma，Yanfei Shen，Yixiong Cui. Data-driven team ranking and match performance analysis in Chinese Football Super League，the 25th Europeen College of Sport Science, Accepted (2020/10/28), Sevilla, Spain.
[8] Runqing Ma，Yuesen Li，Yixiong Cui，Yanfei Shen, Exploring effective football pass prediction algorithms using machine learning and positional relations, the 25th Europeen College of Sport Science, Accepted (2020/10/28), Sevilla, Spain.
[9] Cui, Y., Liu, H., Shen, Y., & Gómez, M.-Á. (2020). Monitoring tennis match load: effect of skill level and experience on physical and physiological performance, XXV Annual Congress of the European College of Sport Science, Accepted (2020/10/28), Sevilla, Spain.
[10] Cui, Y., Liu, HY., Shen, Y., Bao, D., Zhang, S., Zhou, C., & Gómez, M.-Á. (2019). Nothing ventured, no point gained—an analysis of breakpoint performance of tennis players. XXIV Annual Congress of the European College of Sport Science. Prague, Czech Republic.
[11] Cui, Y., Liu, HY., Shen, Y., & Gómez, M.-Á. (2019). Analyzing tie-break performance of professional tennis players during Grand Slam. Asia-Pacific Conference of Performance Analysis of Sport 2019. Nagoya, Japan.
[12] 崔一雄，赵月，刘昊扬，沈燕飞，张广泽（2019）. 基于智能追踪技术对高校网球专业球员比赛运动负荷监控研究. 第十一届全国体育科学大会.江苏，南京.
[13] Chao Yao, Pengfei Sun, Ruicong Zhi, and Yanfei Shen, Learning Coexistence Discriminative Features for Multi-Class Object Detection”，IEEE Access 6 (2018): 37676-37684.
[14] Yu Zhou, Anlong Ming, Yanfei Shen, Single target tracking in smart glass by reliable point set. ISIE 2016: 1106-1109.
[15] Yanfei Shen, Jintao Li, Zhenmin Zhu, Wei Cao, Yun Song: Image reconstruction algorithm from compressed sensing measurements by dictionary learning. Neurocomputing 151: 1153-1162 (2015)
[16] Yun Song, Wei Cao, Yanfei Shen, Gaobo Yang: Compressed sensing image reconstruction using intra prediction. Neurocomputing 151: 1171-1179 (2015).
[17] Yanfei Shen, Guangyu Zhu, Jintao Li, Zhenmin Zhu, Compressed Sensing Image Reconstruction Algorithm by Dictionary Learning. ICIMCS 2014: 193
[18] Yanfei Shen, Yun Song, Guangyu Zhu, Jintao Li, Zhenmin Zhu,Improved Compressed Sensing Image Recovery Algorithm by Intra Prediction. ICIMCS 2014: 407.
[19] Yanfei Shen, Jintao Li, Yongdong Zhang, Zhenmin Zhu, Image compressed sensing reconstruction with 3D transform domain collaborative filtering. ICME 2014: 1-6.
[20] Yanfei Shen, Jintao Li, Zhenmin Zhu, Motion estimation for video coding based on sparse representation. ICASSP 2013: 1394-1398.
[21] Yanfei Shen, Jintao Li, Zhenmin Zhu, Yongdong Zhang, Motion Estimation for Video Coding Based on Subspace Pursuit. PCM 2013: 465-474.
[22] Yanfei Shen, Jintao Li, Zhenmin Zhu, Yun Song, Classification-Based Adaptive Compression Method for Computer Screen Image. ICME 2012: 7-12.
[23] 沈燕飞，李锦涛，朱珍民，张勇东，高效视频编码，计算机学报, 36(11), 2013.
[24] 沈燕飞，朱珍民，张勇东，李锦涛，基于秩极小化的压缩感知图像恢复算法，电子学报, 2016,44(3).
[25] 沈燕飞，李锦涛，朱珍民，张勇东，代峰，基于非局部相似度模型的压缩感知图像恢复算法，自动化学报，2015，41(2) .
[26] 宋云，沈燕飞，龙际珍，朱珍民，基于方向梯度的H.264 帧内预测模式选择算法，计算机学报，36（8），2013.
[27] 宋云,李雪玉,沈燕飞,杨高波.基于非局部相似块低秩的压缩感知图像重建算法.电子学报,2017,45(03)。
[28] 王志文,张子豪,贾玉祥,魏毅,沈燕飞.基于语音识别控制的人体运动仿真.系统仿真学报,2018,30(11):4203-4209.
[29] 魏毅,商柳,邱嘉和,张桂娟,朱登明,沈燕飞.自然图像对的联合抠图方法.系统仿真学报,2018,30(11):4180-4186.
承担项目
[1] 2011.01-2013.12,作为负责人承担国家青年科学基金项目“能量受限的无线视频编码技术研究”；
[2] 2015.01-2018.12,作为负责人承担国家自然科学基金面上项目“基于压缩感知理论的视频编解码技术研究”；
[3] 2018.12-2022.12，作为子课题负责人承担国家重点研发计划“运动促进健康技术平台构建与应用示范”中的智能体质测量部分的研究工作；
[4] 2018.09-2022.0，作为技术骨干参与“科技冬奥”国家重点研发计划“冬季项目运动员专项能力特征和科学选材关键技术的研究”项目;
[5] 2019.1-2023.12，横向课题“科学健身解决方案”、“篮球运动数据采集与分析解决方案”；
[6] 2021.01-2024.12，作为负责人承担国家自然科学基金面上项目“时空数据驱动的团体运动表现分析与评价技术研究”；
[7] 2021.01-2023.12，科技部2030新一代人工智能重大项目“对抗推演关键技术及系统研发”项目子课题
获奖荣誉
（1）“基于非局部相似模型的压缩感知图像恢复算法”论文获第三届中国科协优秀科技论文奖；
（2）“面向体育训练的三维人体运动模拟与视频分析系统”获得北京市科学技术奖一等奖；
（3）“卫星/WiFi/INS/图像多模融合高精度全空间定位技术”获得中国卫星导航定位协会科技进步奖三等奖；
联系方式
邮箱：syf@bsu.edu.cn
电话：010-62989234
