论文列表

a)排名及影响因子出处：科睿唯安(原汤森路透)Journal Citation Reports（JCR）“https://jcr.clarivate.com/JCRLandingPageAction.action“.

b)通讯作者标注*.

[1]Gu, F., Chung, M., Chignell, M., Valaee, S., Zhou, B., Liu, X. A Survey on Deep Learning for Human Activity Recognition. ACM Computing Surveys, 2021. (JCR一区，中科院一区）

[2]Gu, F., Sng, W., Hu, X., and Yu, F. EventDrop: Data Augmentation for Event-based Learning. 30th International Joint Conference on Artificial Intelligence (IJCAI), Montreal, Canada, 2021. (CCF推荐会议A类，录用率：13.9%)

[3]Gu, F., Valaee, S., Khoshelham, K., Shang, J., and Zhang, R. Landmark Graph-based Indoor Localization. IEEE Internet of Things, 7(9), 8343-8355, 2020. (JCR一区，中科院一区)

[4]Gu, F., Hu, X., Ramezani, M., Acharya, D., Khoshelham, K., Valaee, S., and Shang, J. Indoor Localization Improved by Spatial Context - A Survey.ACM Computing Surveys, 52(3), 64:1-35, 2019. (JCR一区，中科院一区)

[5]Gu, F., Khoshelham, K., Valaee, S., Shang, J., and Zhang, R. Locomotion Activity Recognition Using Stacked Denoising Autoencoders.IEEE Internet of Things,5(3), 2085-2093, 2018. (JCR一区，中科院一区)

[6]Chen, P., Shang, J., and Gu, F*. Learning RSSI Feature via Ranking Model for Wi-Fi Fingerprinting Localization. IEEE Transactions on Vehicular Technology, 69(2), 1695-1705, 2020.（JCR一区，中科院二区）

[7]Chen, P., Zheng, X., Gu, F*, and Shang, J. Path Distance-Based Map Matching for Wi-Fi Fingerprinting Positioning. Future Generation Computer Systems,107, 82-94, 2020.（JCR一区，中科院二区）

[8]Gu, F., Khoshelham, K., Yu, C., and Shang, J. Accurate step length estimation for pedestrian dead reckoning localization using stacked autoencoders. IEEE Transactions on Instrumentation & Measurement,68(8), 2705-2713, 2018. (JCR一区，中科院二区）

[9]Gu, F., Lee, Y., Zhuang, Y., Li, Y., Liu, J., Yu, F., Li, R. and Chen, C., 2022. MDOE: A Spatiotemporal Event Representation Considering the Magnitude and Density of Events. IEEE Robotics and Automation Letters, 7(3), pp.7966-7973. (JCR一区，中科院二区）

[10]Zhou, B., Gu, Z., Gu, F*., Wu, P., Yang, C., Liu, X., Li, L., Li, Y., and Li, Q. DeepVIP: Deep Learning-based Vehicle Indoor Positioning Using Smartphones. IEEE Transactions on Vehicular Technology, 2022.（JCR一区，中科院二区）

[11]Gu, F., Khoshelham, K., Shang, J., Yu, F.,Wei, Z. Robust and accurate smartphone-based step counting for indoor localization. IEEE Sensors Journal, 17(11), 3453-3460, 2017. (JCR一区，中科院二区）

[12]Gu, F., Sng, W., Taunyazov, T., Soh, H. TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition.IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.(CCF推荐会议C类）

[13]Gu, F., Blankenbach, J., Khoshelham, K., Grottke, J., and Valaee, S. ZeeFi: Zero-effort Floor Identification with Deep Learning for Indoor Localization.2019 IEEE Global Communications Conference (GLOBECOM)，2019. (CCF推荐会议C类）

主持项目

[1]国家自然科学基金面上项目，融合事件相机的多模鲁棒实时语义SLAM方法，主持，2022.1-2025.12

[2]重庆市留学回国人员创新创业项目，多源信息融合的语义SLAM关键技术研究，主持，2022.1-2023.12

[3]重庆市博士直通车项目，智能类脑无人导航系统，主持，2023.1-2024.12

[4]德国DAAD研究基金，基于智能设备的室内导航与定位，主持，2018.9-2019.2

[5]美团合作项目，泛在室内智能融合定位，骨干，2020.8-2021.9

授权专利

[1]古富强，余芳文，胡旭科. 一种离散异步事件数据增强方法， 发明专利（CN202110597600.0），2022.5.27，已授权

[2]尚建嘎，古富强，余芳文. 一种计步方法及电子设备，发明专利（CN201610325891.7），2019.2.26，已授权

[3]古富强，郭方明，陈超，黄柳金，刘淑文，张栋宇. 一种基于异步事件流的数据表示方法及系统，发明专利（CN202210379153.6），2022.7.26，实审

[4]古富强，窦家锐，陈超，王婧，郭青松，刘柏杉. 一种异步事件数据的自动学习增强方法及系统，发明专利（CN202210379156.X），2022.7.26，实审

专业服务

[1]IEEE/ACM/CCF/CAAI/CNS学会会员

[2]担任Frontiers in Robotics and AI期刊副主编、Frontiers in Neuroscience期刊编委

[3]担任UPINLBS 2022、ICGNC 2022和iThings 2022国际会议分会主席

[4]担任VTC 2020/2021、ISPA 2020、Indoor3D 2019国际会议的技术委员会成员

[5]担任二十多个国际顶级期刊/会议如TMC、TWCM、IoT、TVT、TIM、TNNLS、PR、COMST、NCAA、CSUR、FGCS、UbiComp、AAAI、CVPR、IJCAI、GLOBECOM、ICRA、IROS等的评审