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Fang Zhao 0003
Person information
- affiliation: Bejing University of Posts and Telecommunications, China
Other persons with the same name
- Fang Zhao — disambiguation page
- Fang Zhao 0001 — MIT, Cambridge, MA, USA
- Fang Zhao 0002
— Staffordshire University, Stoke-on-Trent, UK (and 2 more)
- Fang Zhao 0004 — Cold Spring Harbor Laboratory, NY, USA
- Fang Zhao 0005 — Shandong University, School of Information Science and Engineering, Jinan, China
- Fang Zhao 0006
- Fang Zhao 0007
- Fang Zhao 0008
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2020 – today
- 2024
- [j51]Fan Wu
T-SPP: Improving GNSS Single-Point Positioning Performance Using Transformer-Based Correction. Int. J. Intell. Syst. 2024: 1-15 (2024) - [j50]Yanjun Qin
DMGSTCN: Dynamic Multigraph Spatio-Temporal Convolution Network for Traffic Forecasting. IEEE Internet Things J. 11(12): 22208-22219 (2024) - [j49]Hongfu Xu
Res-EMSA: Adaptive Adjustment of Innovation Based on Efficient Multihead Self-Attention in GNSS/INS Tightly Integrated Navigation System. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j48]Haichao Zhang
Knowledge Distillation for Travel Time Estimation. IEEE Trans. Intell. Transp. Syst. 25(8): 9631-9642 (2024) - [j47]Yuchen Fang
STWave$^+$+: A Multi-Scale Efficient Spectral Graph Attention Network With Long-Term Trends for Disentangled Traffic Flow Forecasting. IEEE Trans. Knowl. Data Eng. 36(6): 2671-2685 (2024) - [c35]Hongfu Xu, Haiyong Luo, Zijian Wu, Fang Zhao, Changhai Lin:
Adaptive Estimation of Multiple Fading Factors Based on RGAM Model. IJCNN 2024: 1-8 - 2023
- [j46]Yida Zhu
DMSTL: A Deep Multi-Scale Transfer Learning Framework for Unsupervised Cross-Position Human Activity Recognition. IEEE Internet Things J. 10(1): 787-800 (2023) - [j45]Yanjun Qin
Spatio-temporal hierarchical MLP network for traffic forecasting. Inf. Sci. 632: 543-554 (2023) - [c34]Yueyue Wang
DrivCapsNet: A Driving Style Detection Algorithm Based on Capsule Network. CNIOT 2023: 157-163 - [c33]Runze Chen
Enhancing Transportation Mode Detection using Multi-scale Sensor Fusion and Spatial-topological Attention. UbiComp/ISWC Adjunct 2023: 534-539 - [c32]Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Bingbing Xu, Liang Zeng, Chenxing Wang
When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks. ICDE 2023: 517-529 - [i10]Lingdong Kong, Yaru Niu, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau, Ding Zhao, Liangjun Zhang, Hesheng Wang, Wei Tsang Ooi, Ruijie Zhu
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation. CoRR abs/2307.15061 (2023) - [i9]Yupeng Jia, Jie He, Runze Chen, Fang Zhao, Haiyong Luo:
OccupancyDETR: Making Semantic Scene Completion as Straightforward as Object Detection. CoRR abs/2309.08504 (2023) - 2022
- [j44]Yunyun Zhao
An abnormal driving behavior recognition algorithm based on the temporal convolutional network and soft thresholding. Int. J. Intell. Syst. 37(9): 6244-6261 (2022) - [j43]Yanjun Qin
Memory attention enhanced graph convolution long short-term memory network for traffic forecasting. Int. J. Intell. Syst. 37(9): 6555-6576 (2022) - [j42]Zhiqing Xie
TransFloor: Transparent Floor Localization for Crowdsourcing Instant Delivery. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(4): 189:1-189:30 (2022) - [j41]Hongfu Xu
Towards Predicting the Measurement Noise Covariance with a Transformer and Residual Denoising Autoencoder for GNSS/INS Tightly-Coupled Integrated Navigation. Remote. Sens. 14(7): 1691 (2022) - [j40]Wenhua Shao
Floor Identification in Large-Scale Environments With Wi-Fi Autonomous Block Models. IEEE Trans. Ind. Informatics 18(2): 847-858 (2022) - [j39]Yida Zhu
MSCPT: Toward Cross-Place Transportation Mode Recognition Based on Multi-Sensor Neural Network Model. IEEE Trans. Intell. Transp. Syst. 23(8): 12588-12600 (2022) - [j38]Chenxing Wang
Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning. IEEE Trans. Intell. Transp. Syst. 23(9): 15716-15728 (2022) - [j37]Linfeng Bao
MT-e&R: NMEA Protocol-Assisted High-Accuracy Navigation Algorithm Based on GNSS Error Estimation Using Multitask Learning. IEEE Trans. Intell. Transp. Syst. 23(11): 20464-20475 (2022) - [j36]Yuchen Fang
Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer. IEEE Trans. Intell. Transp. Syst. 23(12): 23433-23446 (2022) - [c31]Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang
Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network. SIGIR 2022: 2612-2616 - [i8]Chenxing Wang, Fang Zhao, Haichao Zhang, Haiyong Luo, Yanjun Qin, Yuchen Fang:
Fine-Grained Trajectory-based Travel Time Estimation for Multi-city Scenarios Based on Deep Meta-Learning. CoRR abs/2201.08017 (2022) - 2021
- [j35]Wenhua Shao
Particle Filter Reinforcement via Context-Sensing for Smartphone-Based Pedestrian Dead Reckoning. IEEE Commun. Lett. 25(9): 3144-3148 (2021) - [j34]Yida Zhu
Indoor/Outdoor Switching Detection Using Multisensor DenseNet and LSTM. IEEE Internet Things J. 8(3): 1544-1556 (2021) - [j33]Qu Wang
Pedestrian Dead Reckoning Based on Walking Pattern Recognition and Online Magnetic Fingerprint Trajectory Calibration. IEEE Internet Things J. 8(3): 2011-2026 (2021) - [j32]Shuangqiu Lu
Heterogeneous Multi-Task Learning for Multiple Pseudo-Measurement Estimation to Bridge GPS Outages. IEEE Trans. Instrum. Meas. 70: 1-16 (2021) - [j31]Fan Wu
Predicting the Noise Covariance With a Multitask Learning Model for Kalman Filter-Based GNSS/INS Integrated Navigation. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [j30]Chenxing Wang
Combining Residual and LSTM Recurrent Networks for Transportation Mode Detection Using Multimodal Sensors Integrated in Smartphones. IEEE Trans. Intell. Transp. Syst. 22(9): 5473-5485 (2021) - [j29]Yanjun Qin
NDGCN: Network in Network, Dilate Convolution and Graph Convolutional Networks Based Transportation Mode Recognition. IEEE Trans. Veh. Technol. 70(3): 2138-2152 (2021) - [j28]Yimin Xiao
Residual Attention Network-Based Confidence Estimation Algorithm for Non-Holonomic Constraint in GNSS/INS Integrated Navigation System. IEEE Trans. Veh. Technol. 70(11): 11404-11418 (2021) - [c30]Yida Zhu, Haiyong Luo, Song Guo, Fang Zhao:
Data Mining for Transportation Mode Recognition from Radio-data. UbiComp/ISWC Adjunct 2021: 423-427 - [c29]Yupeng Jia
Lvio-Fusion: A Self-adaptive Multi-sensor Fusion SLAM Framework Using Actor-critic Method. IROS 2021: 286-293 - [i7]Yupeng Jia, Haiyong Luo, Fang Zhao, Guanlin Jiang, Yuhang Li, Jiaquan Yan, Zhuqing Jiang:
Lvio-Fusion: A Self-adaptive Multi-sensor Fusion SLAM Framework Using Actor-critic Method. CoRR abs/2106.06783 (2021) - [i6]Runze Chen, Haiyong Luo, Fang Zhao, Xuechun Meng, Zhiqing Xie, Yida Zhu:
Modeling Accurate Human Activity Recognition for Embedded Devices Using Multi-level Distillation. CoRR abs/2107.07331 (2021) - [i5]Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Chenxing Wang:
STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting. CoRR abs/2112.02262 (2021) - [i4]Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang:
DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting. CoRR abs/2112.02264 (2021) - [i3]Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Liang Zeng, Bo Hui, Chenxing Wang:
CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting. CoRR abs/2112.02736 (2021) - [i2]Yanjun Qin, Yuchen Fang, Haiyong Luo, Liang Zeng, Fang Zhao, Chenxing Wang:
STformer: A Noise-Aware Efficient Spatio-Temporal Transformer Architecture for Traffic Forecasting. CoRR abs/2112.02740 (2021) - 2020
- [j27]Qu Wang
Personalized Stride-Length Estimation Based on Active Online Learning. IEEE Internet Things J. 7(6): 4885-4897 (2020) - [j26]Wenhua Shao
Accurate Indoor Positioning Using Temporal-Spatial Constraints Based on Wi-Fi Fine Time Measurements. IEEE Internet Things J. 7(11): 11006-11019 (2020) - [j25]Xile Gao
RL-AKF: An Adaptive Kalman Filter Navigation Algorithm Based on Reinforcement Learning for Ground Vehicles. Remote. Sens. 12(11): 1704 (2020) - [j24]Jingyu Huang
Accurate and Robust Floor Positioning in Complex Indoor Environments. Sensors 20(9): 2698 (2020) - [j23]Hongwei Jia, Haiyong Luo
ADST: Forecasting Metro Flow Using Attention-Based Deep Spatial-Temporal Networks with Multi-Task Learning. Sensors 20(16): 4574 (2020) - [j22]Rongrong Wang
A Spatial-Temporal Positioning Algorithm Using Residual Network and LSTM. IEEE Trans. Instrum. Meas. 69(11): 9251-9261 (2020) - [c28]Yida Zhu, Haiyong Luo, Runze Chen
DenseNetX and GRU for the sussex-huawei locomotion-transportation recognition challenge. UbiComp/ISWC Adjunct 2020: 373-377
2010 – 2019
- 2019
- [j21]Yanjun Qin
Toward Transportation Mode Recognition Using Deep Convolutional and Long Short-Term Memory Recurrent Neural Networks. IEEE Access 7: 142353-142367 (2019) - [j20]Qu Wang
Pedestrian Heading Estimation Based on Spatial Transformer Networks and Hierarchical LSTM. IEEE Access 7: 162309-162322 (2019) - [j19]Qu Wang
Pedestrian Walking Distance Estimation Based on Smartphone Mode Recognition. Remote. Sens. 11(9): 1140 (2019) - [j18]Rongrong Wang
A Robust Wi-Fi Fingerprint Positioning Algorithm Using Stacked Denoising Autoencoder and Multi-Layer Perceptron. Remote. Sens. 11(11): 1293 (2019) - [j17]Yida Zhu
A Fast Indoor/Outdoor Transition Detection Algorithm Based on Machine Learning. Sensors 19(4): 786 (2019) - [j16]Qu Wang
Pedestrian Stride-Length Estimation Based on LSTM and Denoising Autoencoders. Sensors 19(4): 840 (2019) - [j15]Xile Gao
A Human Activity Recognition Algorithm Based on Stacking Denoising Autoencoder and LightGBM. Sensors 19(4): 947 (2019) - [c27]Yida Zhu, Fang Zhao, Runze Chen
Applying 1D sensor DenseNet to Sussex-Huawei locomotion-transportation recognition challenge. UbiComp/ISWC Adjunct 2019: 873-877 - [c26]Shuo Yan, Haiyong Luo, Fang Zhao, Wenhua Shao, Zhaohui Li, Antonino Crivello
Wi-Fi RTT based indoor positioning with dynamic weighted multidimensional scaling. IPIN 2019: 1-8 - [c25]Zhaoxu Lu, Fang Zhao, Haiyong Luo, Qu Wang, Wenhua Shao:
A destination prediction algorithm using spatial temporal bidirectional LSTM networks. IPIN (Short Papers/Work-in-Progress Papers) 2019: 439-446 - 2018
- [j14]Wenhua Shao
Indoor Positioning Based on Fingerprint-Image and Deep Learning. IEEE Access 6: 74699-74712 (2018) - [j13]Qu Wang
Light positioning: A high-accuracy visible light indoor positioning system based on attitude identification and propagation model. Int. J. Distributed Sens. Networks 14(2) (2018) - [j12]Wenhua Shao
Toward improving indoor magnetic field-based positioning system using pedestrian motion models. Int. J. Distributed Sens. Networks 14(9) (2018) - [j11]Yanjun Qin, Haiyong Luo, Fang Zhao, Zhongliang Zhao, Mengling Jiang:
A traffic pattern detection algorithm based on multimodal sensing. Int. J. Distributed Sens. Networks 14(10) (2018) - [j10]Jie Wei, Fang Zhao, Haiyong Luo:
SP-Loc: A crowdsourcing fingerprint based shop-level indoor localization algorithm integrating shop popularity without the indoor map. Int. J. Distributed Sens. Networks 14(11) (2018) - [j9]Tunio Muhammad Zahid
Crowdsourcing Software Development: Task Assignment Using PDDL Artificial Intelligence Planning. J. Inf. Process. Syst. 14(1): 129-139 (2018) - [j8]Tunio Muhammad Zahid
Task Assignment Model for Crowdsourcing Software Development: TAM. J. Inf. Process. Syst. 14(3): 621-630 (2018) - [j7]Qu Wang
An Infrastructure-Free Indoor Localization Algorithm for Smartphones. Sensors 18(10): 3317 (2018) - [c24]Wenhua Shao, Haiyong Luo, Fang Zhao, Cong Wang, Antonino Crivello
DePedo: Anti Periodic Negative-Step Movement Pedometer with Deep Convolutional Neural Networks. ICC 2018: 1-6 - [c23]Hao Wang, Haiyong Luo, Fang Zhao, Yanjun Qin, Zhongliang Zhao, Yiqu Chen:
Detecting Transportation Modes with Low-Power-Consumption Sensors Using Recurrent Neural Network. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 1098-1105 - [c22]Mengling Jiang, Fang Zhao, Haiyong Luo, Langlang Ye:
A Crowdsourcing based Indoor Topology Construction Algorithm using the Forward and Backward Track Fusion of User Closed Trajectory. UPINLBS 2018: 1-8 - [c21]Chun Liu, Yiqu Chen, Qu Wang
A hybrid localization algorithm using Inertial Sensor, Satellite and Wi-Fi for Smartphone. UPINLBS 2018: 1-8 - [c20]Wenhua Shao, Haiyong Luo, Fang Zhao, Cong Wang, Antonino Crivello
DePos: Accurate orientation-Free Indoor Positioning with Deep Convolutional Neural Networks. UPINLBS 2018: 1-7 - [c19]Qu Wang
A Multimode Fusion Visible Light Localization Algorithm using Ambient Lights. UPINLBS 2018: 1-9 - [c18]Jie Wei, Xiaoyun Zhou, Fang Zhao, Haiyong Luo, Langlang Ye:
Zero-cost and map-free shop-level localization algorithm based on crowdsourcing fingerprints. UPINLBS 2018: 1-10 - [c17]Jiaxian Zhang, Haiyong Luo, Shaomeng Chen, Fang Zhao, Mengling Jiang:
A Complex User Activity Recognition Algorithm based on Convolutional Neural Networks. UPINLBS 2018: 1-6 - [c16]Xiaoyun Zhou, Jie Wei, Fang Zhao, Haiyong Luo, Langlang Ye:
A shop-level location algorithm based on CNN for crowdsourcing fingerprint. UPINLBS 2018: 1-7 - [c15]Wenhua Shao, Haiyong Luo, Fang Zhao, Cong Wang, Antonino Crivello
Mass-centered weight update scheme for particle filter based indoor pedestrian positioning. WCNC 2018: 1-6 - [i1]Jose Luis V. Carrera, Zhongliang Zhao, Torsten Braun, Haiyong Luo, Fang Zhao:
Discriminative Learning-based Smartphone Indoor Localization. CoRR abs/1804.03961 (2018) - 2017
- [j6]Tunio Muhammad Zahid
Impact of Personality on Task Selection in Crowdsourcing Software Development: A Sorting Approach. IEEE Access 5: 18287-18294 (2017) - [j5]Haiyong Luo
Constructing an Indoor Floor Plan Using Crowdsourcing Based on Magnetic Fingerprinting. Sensors 17(11): 2678 (2017) - [j4]Fang Zhao, Haiyong Luo, Xuqiang Zhao, Zhibo Pang, Hyuncheol Park:
HYFI: Hybrid Floor Identification Based on Wireless Fingerprinting and Barometric Pressure. IEEE Trans. Ind. Informatics 13(1): 330-341 (2017) - [c14]Shaomeng Chen, Haiyong Luo, Fang Zhao, Weichao Yuan, Mengling Jiang:
Transportation Mode Recognition Algorithm Based on Multiple Support Vector Machine Classifiers. ES 2017: 253-259 - [c13]Yanyun Gong, Fang Zhao, Shaomeng Chen, Haiyong Luo:
A convolutional neural networks based transportation mode identification algorithm. IPIN 2017: 1-7 - 2016
- [j3]Wenhua Shao
Location Fingerprint Extraction for Magnetic Field Magnitude Based Indoor Positioning. J. Sensors 2016: 1945695:1-1945695:16 (2016) - [j2]Xiaobin Xu, Fang Zhao, Wendong Wang, Hui Tian:
Adaptive Sampling-Based Information Collection for Wireless Body Area Networks. Sensors 16(9): 1385 (2016) - [c12]Xumeng Guo, Wenhua Shao, Fang Zhao, Qu Wang
WiMag: Multimode Fusion Localization System based on Magnetic/WiFi/PDR. IPIN 2016: 1-8 - [c11]Qu Wang
An indoor self-localization algorithm using the calibration of the online magnetic fingerprints and indoor landmarks. IPIN 2016: 1-8 - [c10]Yiyan Liu, Fang Zhao, Wenhua Shao, Haiyong Luo:
An hidden Markov model based complex walking pattern recognition algorithm. UPINLBS 2016: 223-229 - [c9]Yang Zhang, Fang Zhao, Wenhua Shao, Haiyong Luo:
A pervasive indoor and outdoor scenario identification algorithm based on the sensing data and human activity. UPINLBS 2016: 240-247 - 2014
- [c8]Hui Li, Haiyong Luo, Fang Zhao, Xinrong Li:
TACO: A Traceback Algorithm Based on Ant Colony Optimization for Geomagnetic Positioning. CWSN 2014: 208-222 - [c7]Fang Zhao, Xinran Li, Jiabao Yin, Haiyong Luo:
An Adaptive Step Detection Algorithm Based on the State Machine. CWSN 2014: 663-672 - [c6]Fang Zhao, Dan Luo, Wu Yuan, Haiyong Luo:
A hybrid floor identification algorithm based on Bayesian classification and special AP. ICIA 2014: 699-704 - [p2]Chenchen Zhang, Haiyong Luo, Zhaohui Li, Fang Zhao, Li Deng:
A Robust Fingerprinting Localization Algorithm Against Signal Strength Attacks. Principle and Application Progress in Location-Based Services 2014: 47-57 - [p1]Feng Wang, Haiyong Luo, Zhaohui Li, Fang Zhao, Deng Li:
Activity-Based Smartphone-Oriented Landmark Identification for Localization. Principle and Application Progress in Location-Based Services 2014: 59-71 - 2012
- [c5]Huang Cheng, Feng Wang, Rui Tao, Haiyong Luo, Fang Zhao:
Clustering algorithms research for device-clustering localization. IPIN 2012: 1-7 - [c4]Wenhua Shao, Fang Zhao, Guoshi Wang, Haiyong Luo:
Design and Implementation of a Scalable LBS Middleware Based on the PUBSUB Paradigm and Load Balancing Mechanism. PDCAT 2012: 27-32 - 2011
- [j1]Junjun Xu, Haiyong Luo, Fang Zhao, Rui Tao, Yiming Lin, Hui Li:
The WiMap: A Dynamic Indoor WLAN Localization System. Int. J. Adv. Pervasive Ubiquitous Comput. 3(1): 29-38 (2011)
2000 – 2009
- 2009
- [c3]Haijun Zhao, Yan Ma, Xiaohong Huang, Fang Zhao:
Forecasting Heartbeat Delay for Failure Detection over Internet Using Nonlinear System. CSIE (5) 2009: 589-593 - [c2]Fang Zhao, Haiyong Luo, Lin Quan:
A Mobile Beacon-Assisted Localization Algorithm Based on Network-Density Clustering for Wireless Sensor Networks. MSN 2009: 304-310 - 2008
- [c1]Haijun Zhao, Yan Ma, Xiaohong Huang, Fang Zhao:
Performance Evaluation of Heartbeat-Style Failure Detector over Proactive and Reactive Routing Protocols for Mobile Ad Hoc Network. APNOMS 2008: 370-379
Coauthor Index
[j51] [j50] [j49] [j48] [j47] [c35] [j46] [j45] [c34] [c33] [c32] [i10] [i9] [j44] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [c31] [i8] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [c30] [c29] [i7] [i6] [i5] [i4] [i3] [i2] [j27] [j26] [j25] [j24] [j23] [j22] [c28] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [c26] [c25] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [i1] [j6] [j5] [j4] [c14] [c13] [j3] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [p2] [p1] [c5] [c4] [j1] [c2]
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