登录
|
北京邮电大学
|
English
首页
科学研究
研究领域
论文成果
专利
著作成果
科研项目
科研团队
教学研究
教学资源
授课信息
教学成果
获奖信息
招生信息
学生信息
教师博客
我的相册
+
个人信息
MORE +
赵方
(教授)
博士生导师 硕士生导师
学位:博士学位
性别:女
毕业院校:北京邮电大学
学历:研究生毕业
在职信息:在职
所在单位:计算机学院(国家示范性软件学院)
电子邮箱:zfsse@bupt.edu.cn
同专业博导
同专业硕导
论文成果
当前位置:
中文主页
>>
科学研究
>>
论文成果
.Fang Zhao, Haiyong Luo, Xuqiang Zhao, Zhibo Pang, Hyuncheol Park. HYFI: Hybrid Floor Identification based on Distribution of Wireless Access Point and Barometric Pressure for Fingerprinting Positioning in Multi-story Facilities. IEEE Transactions on Industrial Informatics. 2017, 13(1):330-341(影响因子6.764,中科院1区)
.Wenhua Shao, Haiyong Luo, Fang Zhao, Hui Tian, Jingyu Huang, Antonino Crivello. Floor Identification in Large-Scale Environments with Wi-Fi Autonomous Block Models. IEEE Transactions on Industrial Informatics. 20 April 2021. DOI: 10.1109/TII.2021.3074153. https://ieeexplore.ieee.org/document/9409682(影响因子9.1,中科院1区)
.Qu Wang, Haiyong Luo, Hao Xiong, Aidong Men, Fang Zhao, Ming Xia, Changhai Ou. Pedestrian Dead Reckoning based on Walking Pattern Recognition and Online Magnetic Fingerprint Trajectory Calibration. IEEE Internet of Things Journal. 02/01/2021. 2021, 8 (3):2011-2026. DOI:10.1109/JIOT.2020.3016146. (影响因子9.936,中科院1区)
.Yida Zhu, Haiyong Luo, Fang Zhao, Runze Chen. Indoor/Outdoor Switching Detection Using Multi-Sensor DenseNet and LSTM. IEEE Internet of Things Journal. 02/01/2021. 2021, 8 (3): 1544-1556. DOI: 10.1109/JIOT.2020.3013853. (影响因子9.936,中科院1区)
.Wenhua Shao, Haiyong Luo, Fang Zhao, Hui Tian, Shuo Yan, Crivello Antonino. Accurate Indoor Positioning Using Temporal-Spatial Constraints Based on Wi-Fi Fine Time Measurements. IEEE Internet of Things Journal. NOVEMBER 2020. 2020, 7(11):11006-11019. DOI: 10.1109/JIOT.2020.2992069. https://ieeexplore.ieee.org/document/8273755. (影响因子9.936,中科院1区)
.Chenxing Wang, Haiyong Luo, Fang Zhao, Yanjun Qin. Combining Residual and LSTM Recurrent Networks for Transportation Mode Detection Using Multimodal Sensors Integrated in Smartphones. IEEE Transactions on Intelligent Transportation Systems. 24 April 2020. DOI: 10.1109/TITS.2020.2987598. 1-13. https://ieeexplore.ieee.org/document/9078348 (影响因子5.744,中科院1区).
.Yanjun Qin, Haiyong Luo, Fang Zhao, Chenxing Wang, Yuchen Fang. NDGCN: Network in Network, Dilate Convolution and Graph Convolutional Networks based Transportation Mode Recognition. IEEE Transactions on Vehicular Technology. IEEE Transactions on Vehicular Technology. March 2021. 2021, 70(3): 2138-2152. DOI: 10.1109/TVT.2021.3060761 (影响因子5.379,中科院2区)
.Shuangqiu Lu, Yilin Gong, Haiyong Luo, Fang Zhao, Zhaohui Li, Jinguang Jiang. Heterogeneous Multi-Task Learning for Multiple Pseudo-Measurement Estimation to Bridge GPS Outages. IEEE Transactions on Instrumentation and Measurement. 2021,70(8500916):1-16. DOI: 10.1109/TIM.2020.3028438. (影响因子3.067,中科院1区)
.Fan Wu, Haiyong Luo, Hongwei Jia, Fang Zhao, Yimin Xiao, Xile Gao. Predicting the Noise Covariance with a Multitask Learning Model for Kalman Filter-Based GNSS/INS Integrated Navigation. IEEE Transactions on Instrumentation & Measurement. 2021, 70(8500613):1-13.DOI:10.1109/TIM.2020.3024357. (影响因子3.067,中科院1区)
.Hongwei Jia, Haiyong Luo, Hao Wang, Fang Zhao, Qixue Ke, Mingyao Wu. ADST: Forecasting Metro Flow using Attention based Deep Spatial-Temporal Networks with Multi-task Learning. Sensors 2020, 20, 4574; doi:10.3390/s20164574. (影响因子3.275,中科院2区)
共100条 1/10
首页
上页
下页
尾页
页